58
Brief interventions for heavy alcohol users admitted to general hospital wards (Review) McQueen J, Howe TE, Allan L, Mains D, Hardy V This is a reprint of a Cochrane review, prepared and maintained by The Cochrane Collaboration and published in The Cochrane Library 2011, Issue 8 http://www.thecochranelibrary.com Brief interventions for heavy alcohol users admitted to general hospital wards (Review) Copyright © 2011 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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Page 1: Cochrane Database of Systematic Reviews (Reviews) || Brief interventions for heavy alcohol users admitted to general hospital wards

Brief interventions for heavy alcohol users admitted to

general hospital wards (Review)

McQueen J, Howe TE, Allan L, Mains D, Hardy V

This is a reprint of a Cochrane review, prepared and maintained by The Cochrane Collaboration and published in The Cochrane Library

2011, Issue 8

http://www.thecochranelibrary.com

Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

Copyright © 2011 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

Page 2: Cochrane Database of Systematic Reviews (Reviews) || Brief interventions for heavy alcohol users admitted to general hospital wards

T A B L E O F C O N T E N T S

1HEADER . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

1ABSTRACT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

2PLAIN LANGUAGE SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

2BACKGROUND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

4OBJECTIVES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

4METHODS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

6RESULTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Figure 1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

Figure 2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9

Figure 3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

12DISCUSSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

15AUTHORS’ CONCLUSIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

15ACKNOWLEDGEMENTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

15REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

19CHARACTERISTICS OF STUDIES . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

36DATA AND ANALYSES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Analysis 1.1. Comparison 1 Brief interventions versus control, Outcome 1 Mean alcohol consumption in grams per week:

smaller values indicate better outcome. . . . . . . . . . . . . . . . . . . . . . . . . . 38

Analysis 1.2. Comparison 1 Brief interventions versus control, Outcome 2 Sensitivity analysis: Mean alcohol consumption

in grams per week: smaller values indicate better outcome. . . . . . . . . . . . . . . . . . . 39

Analysis 1.3. Comparison 1 Brief interventions versus control, Outcome 3 Mean alcohol consumption (change scores from

baseline): smaller values indicate better outcome. . . . . . . . . . . . . . . . . . . . . . . 40

Analysis 1.4. Comparison 1 Brief interventions versus control, Outcome 4 Self reports of alcohol consumption (smaller

values indicate better outcome). . . . . . . . . . . . . . . . . . . . . . . . . . . . 41

Analysis 1.5. Comparison 1 Brief interventions versus control, Outcome 5 Laboratory markers (GammaGT): smaller values

indicate better outcome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

Analysis 1.6. Comparison 1 Brief interventions versus control, Outcome 6 Number of binges: smaller values indicate better

outcome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

Analysis 1.7. Comparison 1 Brief interventions versus control, Outcome 7 Heavy drinking episodes (days per week): smaller

values indicate better outcome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43

Analysis 1.8. Comparison 1 Brief interventions versus control, Outcome 8 Death: smaller values indicate better outcome. 44

Analysis 1.9. Comparison 1 Brief interventions versus control, Outcome 9 Sensitivity analysis: Death: smaller values

indicate better outcome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45

Analysis 1.10. Comparison 1 Brief interventions versus control, Outcome 10 Mean alcohol consumption in grams per week

restricted to studies including only men: smaller values indicate better outcome. . . . . . . . . . . . 46

Analysis 1.11. Comparison 1 Brief interventions versus control, Outcome 11 Driving offences within 3 years: smaller values

indicate better outcome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47

Analysis 1.12. Comparison 1 Brief interventions versus control, Outcome 12 Number of days hospitalised in previous 3

months: smaller values indicate better outcome. . . . . . . . . . . . . . . . . . . . . . . 48

Analysis 1.13. Comparison 1 Brief interventions versus control, Outcome 13 A&E visits in previous 3 months: smaller

values indicate better outcome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

49APPENDICES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

54WHAT’S NEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

54HISTORY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

55CONTRIBUTIONS OF AUTHORS . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

55DECLARATIONS OF INTEREST . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

55SOURCES OF SUPPORT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

55DIFFERENCES BETWEEN PROTOCOL AND REVIEW . . . . . . . . . . . . . . . . . . . . .

55INDEX TERMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

iBrief interventions for heavy alcohol users admitted to general hospital wards (Review)

Copyright © 2011 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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[Intervention Review]

Brief interventions for heavy alcohol users admitted togeneral hospital wards

Jean McQueen1, Tracey E Howe2, Linda Allan3, Diane Mains4 , Victoria Hardy5

1Partnerships in Care, Ayr Clinic, AYR, UK. 2School of Health & Life Sciences, Glasgow Caledonian University, Glasgow, UK.3Therapy centre, Southern General Hospital, Glasgow, UK. 4Occupational Therapy Department, Victoria Infirmary, Glasgow, UK.5Southern General Hospital, Glasgow, UK

Contact address: Jean McQueen, Partnerships in Care, Ayr Clinic, Dalmellington Road, AYR, KA6 6PT, UK. [email protected].

Editorial group: Cochrane Drugs and Alcohol Group.

Publication status and date: New search for studies and content updated (no change to conclusions), published in Issue 8, 2011.

Review content assessed as up-to-date: 16 May 2011.

Citation: McQueen J, Howe TE, Allan L, Mains D, Hardy V. Brief interventions for heavy alcohol users admitted to general hospital

wards. Cochrane Database of Systematic Reviews 2011, Issue 8. Art. No.: CD005191. DOI: 10.1002/14651858.CD005191.pub3.

Copyright © 2011 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

A B S T R A C T

Background

Brief interventions involve a time-limited intervention focusing on changing behaviour. They are often motivational in nature using

counselling skills to encourage a reduction in alcohol consumption.

Objectives

To determine whether brief interventions reduce alcohol consumption and improve outcomes for heavy alcohol users admitted to

general hospital inpatient units.

Search methods

We searched the Cochrane Drug and Alcohol Group Register of Trials (March 2011) the Cochrane Central Register of Controlled

Trials (The Cochrane Library March 2011), MEDLINE January 1966-March 2011, CINAHL 1982-March 2011, EMBASE 1980-

March 2011 and www.clinicaltrials.gov to April 2011 and performed some relevant handsearching.

Selection criteria

All prospective randomised controlled trials and controlled clinical trials were eligible for inclusion. Participants were adults and

adolescents (16 years or older) admitted to general inpatient hospital care for any reason other than specifically for alcohol treatment

and received brief interventions (of up to 3 sessions) compared to no or usual care.

Data collection and analysis

Three reviewers independently selected the studies and extracted data. Where appropriate random effects meta-analysis and sensitivity

analysis were performed.

Main results

Forteen studies involving 4041 mainly male participants were included. Our results demonstrate that patients receiving brief interven-

tions have a greater reduction in alcohol consumption compared to those in control groups at six month, MD -69.43 (95% CI -128.14

to -10.72) and nine months follow up, MD -182.88 (95% CI -360.00 to -5.76) but this is not maintained at one year. Self reports

of reduction of alcohol consumption at 1 year were found in favour of brief interventions, SMD -0.26 (95% CI -0.50 to -0.03). In

1Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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addition there were significantly fewer deaths in the groups receiving brief interventions than in control groups at 6 months, RR 0.42

(95% CI 0.19 to 0.94) and one year follow up, RR 0.60 (95% CI 0.40 to 0.91). Furthermore screening, asking participants about

their drinking patterns, may also have a positive impact on alcohol consumption levels and changes in drinking behaviour.

Authors’ conclusions

The main results of this review indicate that there are benefits to delivering brief interventions to heavy alcohol users admitted to general

hospital wards in terms of reduction in alcohol consumption and death rates. However, these findings are based on studies involving

mainly male participants. Further research is required determine the optimal content and treatment exposure of brief interventions

within general hospital settings and whether they are likely to be more successful in patients with certain characteristics.

P L A I N L A N G U A G E S U M M A R Y

Brief interventions for heavy alcohol users admitted to general hospital wards

Heavy or dangerous patterns of drinking alcohol can lead to accidents, injuries, physical and psychiatric illnesses, frequent sickness,

absence from employment and social problems. Long term alcohol consumption has harmful effects on almost all organs of the

body, particularly the brain and gastro-intestinal system. Healthcare professionals have the opportunity to ask people about how

much alcohol they drink and offer brief interventions to heavy drinkers. These brief interventions involve a time limited intervention

focusing on changing behaviour. They range from a single session providing information and advice to one to three sessions of

motivational interviewing or skills-based counselling involving feedback and discussion on responsibility and self efficacy. Different

health professionals who do not require to be alcohol specialists may give the intervention. Admission to hospital as an inpatient,

in general medical wards and trauma centres, provides an opportunity whereby heavy alcohol users are accessible, have time for

an intervention, and may be made aware of any links between their hospitalisation and alcohol. The review authors identified 14

randomised controlled trials and controlled clinical trials involving 4041 mainly male adults (16 years or older) identified as heavy

drinkers in hospital, mainly in the UK and USA.

The main results of this review indicate that there are benefits to delivering brief interventions to heavy alcohol users in general hospital.

Our results demonstrate that patients receiving brief interventions have a greater reduction in alcohol consumption compared to those

in control groups at six month and nine month follow up but this is not maintained at one year. In addition there were significantly

fewer deaths in the groups receiving brief interventions than in control groups at 6 months and one year. However, these findings are

based on studies involving mainly male participants. Furthermore screening, asking participants about their drinking patterns, may

also have a positive impact on alcohol consumption levels and changes in drinking behaviour and this is an area that requires further

investigation.

Further research is required determine the optimal content and treatment exposure of brief interventions within general hospital settings

and whether they are likely to be more successful in patients with certain characteristics.

B A C K G R O U N D

Description of the condition

Around two billion people world wide consume alcoholic bever-

ages and over 76 million people have alcohol use disorders (Lancet

2009). Alcohol is responsible for about 2.3 million premature

deaths world wide (Cherpitel 2009). Sufficient evidence exists to

indicate that alcohol is a significant threat to world health, with

dangerous patterns of heavy drinking existing in most countries.

Hazardous and harmful use of alcohol is a major contributing fac-

tor of ill health globally through alcohol dependence, liver cirrho-

sis, cancers and injuries and to others through dangerous actions

of those intoxicated such as drink driving and violence or through

the impact of drinking on fetus and child development (WHO

2011). World wide alcohol is linked to 2.5 million deaths (3.8%

of total) per annum with global alcohol consumption continuing

to increase (WHO 2008).Clinical and epidemiological studies re-

port a relationship between heavy drinking and certain clinical

2Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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presentations such as injuries, physical and psychiatric illnesses,

frequent sickness, absence from employment and social problems.

The consequences of harmful alcohol use is a major concern to

health care services with approximately 4.5% of the global bur-

den of disease and injury attributable to alcohol (WHO 2011).

During peak times around 41% of all attendees at UK Accident

& Emergency departments test positive for alcohol consumption

(Dobson 2003). In the UK the number of alcohol-attributable

hospital admissions for 2005-2006 was 909 per 100,000 men and

510.4 per 100,000 women (NICE 2008).

Levels of heavy alcohol consumption have been widely defined

into three categories: hazardous drinking, harmful drinking and

alcohol dependence determined by the amount of alcohol con-

sumed, together with the physical and psychological consequences

(Kaner 2007). A large proportion of alcohol attributed morbid-

ity and mortality in a population is as a result of large numbers

of people with hazardous and harmful consumption (Freemantle

1993). Binge drinking is defined as an episode of excessive drink-

ing primarily with the intention of becoming intoxicated (Renaud

2001). There is currently no consensus world wide on how many

drinks consist of a ’binge’. Binge drinking is considered harmful,

regardless of a person’s age, and there have been calls for healthcare

professionals to give increased attention to their patients drinking

habits, especially binge drinkers. In the USA, the term is often

taken to mean consuming five or more standard drinks (male),

or four or more drinks (female), in about two hours for a typical

adult (Moreira 2009). In the United Kingdom, binge drinking is

defined as drinking more than twice the daily limit, that is, drink-

ing eight units (64 grams) or more for men or six units (48 grams)

or more for women on one occasion (Stephans 2008).

Long term alcohol consumption has a harmful effect on almost

all organs of the body, particularly the brain and gastro-intesti-

nal system (Hillman 2003). Alcohol consumption has also been

linked with injuries and morbidity sustained through motor ve-

hicle crashes, falls, drowning, fires, burns and violence. Alcohol is

estimated to contribute to 20-30% worldwide oesophageal cancer,

liver cancer, cirrhosis of the liver, homicide and epilepsy (WHO

2010). Its consumption is causally linked to a problems, including

health issues and lower life expectancy, reduced workplace produc-

tivity, accidents, drink driving, violence and other forms of crime

(Collins 2008). It is estimated that each alcoholic negatively affects

an average of four other people(Scottish Government 2008).

The world’s highest alcohol consumption levels are found in the

developed world, including western and eastern Europe, but alco-

hol consumption is increasing rapidly in Africa and Asia (WHO

2011). The annual cost of alcohol abuse to the NHS in the UK is

around £1.7 billion, incurring more direct costs to health, social

and criminal justice systems than drug misuse, alzheimer’s disease,

schizophrenia or stroke, (AMS 2004). In Australia alcohol has been

defined as a serious problem whose social costs in 2004/05 have

been estimated to be over $15 billion (Australian Government

2008) . Alcohol dependence and alcohol related diagnosis have

been rising among patients discharged from General Hospitals

(Scottish Executive 2003; Williams 2010). Unhealthy alcohol mis-

use is increasingly common in medical inpatients (Williams 2010).

Description of the intervention

Health professionals working in general hospital environments

have regular contact with individuals who abuse alcohol. Research

suggests that a high number of patients who attend general hos-

pitals experience alcohol related problems, often unrelated to the

conditions with which they attend for treatment (Saunders 1999;

Watson 2000). Traditionally interventions were offered only when

individuals were diagnosed as alcohol dependent, though recent

evidence has suggested possible benefits from intervening ear-

lier using screening and brief interventions (Nilsen 2008b; Wilk

1997). For health care professionals there is now much more ex-

pectation for them to identify and provide interventions when al-

cohol consumption exceeds recommended limits, where there is

increased risk of physical, psychological and social harm (Nilsen

2008a). Opportunities exist for health care professionals to rou-

tinely ask about alcohol consumption levels as part of their assess-

ment, and offer brief interventions to those exceeding safe levels

of alcohol consumption. An important element of brief interven-

tions are that they can be delivered by non-specialist staff. Due

to the minimal time taken to deliver a brief intervention and the

simple training required to up skill health professionals in this

area brief interventions are not resource intensive with admission

to hospital cited as a potentially opportune time for intervention

for those whose alcohol consumption exceeds safe recommended

limits (Williams 2010). A brief intervention generally consists of

between one and four short 5-20 minute counselling sessions with

a trained health care worker for example a nurse, occupational

therapist, physician, psychologist or social worker.

Brief interventions are targeted at non-treatment seeking, non-al-

cohol dependent hazardous and harmful drinkers and are intended

as an early intervention (Nilsen 2010). Brief interventions consist

of more than just advice on reducing alcohol consumption and

focus more personally on the individual drawing on theories from

person centred counselling and social psychology being motiva-

tional in nature through focusing on the benefits and drawbacks

of behaviour change (McQueen 2006). They involve a time lim-

ited intervention and can range from five to ten minutes of infor-

mation and advice to two or more sessions of motivational inter-

viewing or counselling (Alcohol Concern 2001). Previous work

has evaluated a range of interventions categorised as brief inter-

ventions, with six key elements of brief interventions being widely

summarised under the acronym FRAMES: feedback, responsibil-

ity, advice, menu of strategies, empathy and self efficacy originally

described by (Bien 1993; Miller 1994).

Brief interventions are important for non-dependent heavy alcohol

users in primary care where they have been shown to reduce total

alcohol consumption, and binge drinking in hazardous drinkers

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for up to one year SIGN 2003. This is particularly important

in limiting the progression of alcohol related pathologies such as

alcohol dependence and limiting the damage that prolonged heavy

drinking has to physical and mental health.

Why it is important to do this review

A Cochrane review has indicated benefits from brief interventions

in primary care (Kaner 2007) but the effectiveness of brief in-

tervention in hospital inpatient environments remained unclear.

Admission to hospital represents an opportunity where by heavy

alcohol users are accessible, have time for an intervention and may

be made aware of any links between their hospitalisation and al-

cohol (Saitz 2007). The acute post traumatic period may act as

a catalyst for change representing a teachable moment to encour-

age heavy alcohol users to change (Soderstrom 2007; Sommers

2006). A previous review and meta-analysis of brief interventions

in the general hospital setting found evidence for effectiveness to

be inconclusive (Emmen 2004). This review is justified as the ac-

cumulation of fresh evidence through the inclusion of a further

nine studies. If health professionals are to implement such inter-

ventions into practice then evidence on it’s effectiveness and long

term benefits is required.

O B J E C T I V E S

To determine whether brief interventions reduce alcohol con-

sumption and improve outcomes for heavy alcohol users admit-

ted to general hospital inpatient units not specifically for alcohol

treatment. Specific questions to be answered:

Do brief interventions with heavy alcohol users admitted to general

hospital wards:

1. Impact on alcohol consumption levels?

2. Improve quality of life and ability to function in society i.e.

social relationships, employment, education?

3. Lead to a reduction in hospital re-admission rates, and or

alcohol related injuries i.e. falls, violence, suicide and motor

vehicle accidents?

M E T H O D S

Criteria for considering studies for this review

Types of studies

All prospective randomised controlled trials and controlled clin-

ical trials which provided an appropriate control arm including

assessment only (screening) or treatment as usual including pro-

vision of leaflets (on which to base comparisons) were eligible for

inclusion. Studies with two or more active intervention arms when

compared with a control arm were included. Studies without a

control arm were not included.

Types of participants

We considered trials that included adults and adolescents (peo-

ple 16 years and older) admitted to general inpatient hospital

care for any reason other than specifically for alcohol treatment,

where inclusion criteria for the study identified participants as reg-

ularly consuming alcohol above the recommended safe weekly/

daily amounts for the country in which the study took place i.e.

(ICAP 2003).

For the purposes of this review general hospital wards were taken

to include all hospital inpatient units that were not identified

as psychiatric or addiction services. This covered a broad range

of possible presenting problems and treatment environments. All

participants received usual treatment for their presenting medical

condition.

Types of interventions

A brief intervention was defined as a single session or up to three

sessions involving an individual patient and health care practi-

tioner comprising information and advice, often using counselling

type skills to encourage a reduction in alcohol consumption and

related problems.

Control groups were defined as assessment only (screening) or

treatment as usual including provision of leaflets.

The following comparison have been considered

(1) Brief intervention(s) versus control (assessment/no-interven-

tion or standard treatment)

Originally in the protocol it was stated that we would include a

comparison of brief interventions versus extended psychological

intervention. The search strategy identified only one such study

within the general hospital setting (Soderstrom 2007). Based on

feedback from the review group it was deemed appropriate to

exclude this study.

Types of outcome measures

Primary outcomes

To be eligible for inclusion studies must have measured alcohol

consumption by:

• self report data (e.g. number of drinks per drinking day,

average consumption and or number of drinking occasions per

specified time period obtained through interview, drinking diary,

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alcohol consumption tests e.g. FAST (Hodgson 2002), AUDIT

(Alcohol Use Disorders Identification Test WHO 1989), MAST

(Michigan Alcoholism Screening Test Selzer 1971).

• laboratory markers e.g. blood or saliva alcohol consumption

tests

Secondary outcomes

Secondary outcomes included:

• Hospital re-admission rates

• Mortality rates

• Alcohol related injuries

• Quality of life (using standardised tools)

• Reduction in sickness absence from work related tasks

including paid employment, voluntary work, education

• Reduction in adverse legal events as a consequence of

alcohol i.e. violence, driving offences.

• Need for institutional care

Search methods for identification of studies

Electronic searches

We searched the Cochrane Library (March 2011), which in-

cludes the Cochrane Drug and Alcohol Group Register of Tri-

als, MEDLINE (January 1966-March 2011), CINAHL (1982-

March 2011) and EMBASE (1980-June 2008). See Appendix 1,

Appendix 2, Appendix 3, Appendix 4 with the detailed search

strategies.

Searching other resources

Hand searching of relevant journals not included in the Cochrane

library was also undertaken together with the register of clinical

trials and conference abstracts to locate any additional studies.We

hand searched two journals (Addiction, Alcohol and Alcoholism).

Unpublished reports, abstract, brief and preliminary reports were

considered for inclusion on the same basis as published reports.

We searched:

1) the reference lists of all relevant papers to identify further stud-

ies.

2) some of the main electronic sources of ongoing trials (National

Research Register, meta-Register of Controlled Trials; Clinicaltri-

als.gov)

3) conference proceedings likely to contain trials relevant to the

review.

We contacted investigators seeking information about unpub-

lished or incomplete trials.

All searches included non-English language literature and studies

with English abstracts were assessed for inclusion. When consid-

ered likely to meet inclusion criteria, studies were translated.

Data collection and analysis

Selection of studies

Pairs of authors read all titles/and or abstracts resulting from the

search process and eliminated any obviously irrelevant studies. We

obtained full copies of the remaining potentially relevant studies.

Pairs of authors acting independently classified these as clearly rel-

evant that is, met all inclusion criteria therefore include, or clearly

irrelevant therefore exclude, or insufficient information to make

a decision, whereby contact was made with the authors for fur-

ther information to aid the decision process. Decisions were based

on inclusion criteria outlined i.e. types of studies, types of par-

ticipants, interventions and outcome measures used. Differences

in opinion were resolved through consensus or referral to a third

author. Studies formally considered are listed and reasons for ex-

clusion given in the characteristics of excluded studies.

Data extraction and management

Three authors independently extracted data from published

sources using a piloted data recording form. Data extraction forms

were piloted using a representative sample of studies and inter-

rater reliability was checked for the recording of outcome data

and quality assessment and appropriate changes made to the data

collection form. Where differences in data extracted occurred this

was resolved through discussion, decisions that could not easily

be resolved were referred to a fourth author. Where required ad-

ditional information was obtained through collaboration with the

original authors.

Assessment of risk of bias in included studies

The Cochrane Collaboration’s tool for assessing risk of bias as de-

scribed in chapter 8 of the Cochrane Handbook for Systematic

Reviews of Interventions version 5.0.1 (Higgins 2008) was used

for assessing risk of bias in studies. This two part tool addresses five

specific domains, sequence generation, allocation concealment,

blinding, incomplete outcome data, with the first part describing

what was supposed to have happened in the study and the second

assigning a judgement in relation to the risk of bias for that study.

Three authors independently assessed the following: sequence gen-

eration, allocation concealment, incomplete outcome data, selec-

tive reporting, blinding of participant and outcome assessor. The

first part of the tool involves describing what was reported to have

happened in the study. The second part of the tool involves assign-

ing a judgement, in terms of “low ”, “high” or unclear, relating to

the risk of bias for that entry. Criteria indicated by the handbook

and adapted to the addiction field were used to make these judge-

ments see Appendix 5. Any disagreement between authors was

resolved by discussion, including input from a third independent

reviewer if required.

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Measures of treatment effect

Where available and appropriate, quantitative data for the out-

comes listed in the inclusion criteria are presented in the analysis

tables (1.1 to 1.13). Where studies reported standard errors of the

means (SEMs), standard deviations were obtained by multiplying

standard errors of means by the square-root of the sample size. For

each trial, relative risk and 95% confidence intervals were calcu-

lated for dichotomous outcomes, and weighted mean differences

(WMD) and 95% confidence intervals calculated for continu-

ous outcomes (reporting mean and standard deviation or standard

error of the mean). Standardised mean differences (SMD) and

95% confidence intervals were calculated when combining results

from studies using different ways of measuring the same concept.

Change scores have been reported separately as these cannot be

incorporated into meta analyses of standardised mean differences.

For each study reporting quantity of alcohol consumed in a specific

time period data was converted into grams per week using either

the conversion factor reported in the paper or appropriate to the

country where the trial took place (Miller 1991). Months were

converted to weeks by multiplying 52/12.

Assessment of heterogeneity

Heterogeneity between comparable trials was tested using a stan-

dard chi-squared test and considered statistically significant at P <

0.1 after due consideration of the value of I squared.

Data synthesis

Where possible, we pooled results of similar studies, for continuous

and dichotomous outcomes. Due to the nature of this review there

was some degree of heterogeneity in the type of interventions

offered, outcome measures reported and methodological quality

therefore it was inappropriate to combine studies

Where appropriate, results of comparable groups of studies were

pooled using the fixed effect model and 95% confidence intervals

calculated. In the presence of heterogeneity the results of compa-

rable groups of trials were pooled using the random effect model

and 95% confidence intervals calculated.

Sensitivity analysis

Sensitivity analysis was undertaken using random effects model

when there was substantial heterogeneity P < 0.1 after due con-

sideration of the value of I squared. Studies were removed if they

included additional follow up care or group data was removed

when initial analysis included pooled data from two groups. Due

to the small number of studies included in each meta-analysis it

was not possible to conduct a sensitivity analysis based on method

of randomisation, concealment of allocation, intention to treat

analysis and blinding of assessors and types of treatment provided

i.e. content, number and length of session, and number of patients

involved.

R E S U L T S

Description of studies

See: Characteristics of included studies; Characteristics of excluded

studies; Characteristics of ongoing studies.

Results of the search

The electronic searching resulted in 614 potentially relevant stud-

ies which were screened by reviewing titles and abstracts An addi-

tional 22 potentially relevant studies were located through search-

ing reference lists of included and excluded studies and hand-

searching relevant journal. Three authors (JM, LA, DM) elimi-

nated 586 obviously irrelevant studies based on titles and where

available abstracts, leaving 52 potentially relevant studies. Four

independent authors (JM, LA, DM, FC) read the abstracts and

full text for these 52 studies of these 38 were excluded Figure 1.

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Figure 1. Study flow diagram.

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Included studies

14 relevant studies were identified as eligible to be included

in this review (Antti-Poika 1988; Chick 1985; Freyer-Adam

2008; Gentilello 1999; Heather 1996; Holloway 2007; Liu 2011;

McManus 2003; McQueen 2006; Saitz 2007; Schermer 2006;

Sommers 2006;Tsai 2009; Watson 1999.

Data from 14 studies are included in this review involving 4041

participants at entry. Descriptions of included studies can be found

in Characteristics of included studies.

Countries where the studies were conducted

Four studies took place in the United States (Gentilello 1999; Saitz

2007; Schermer 2006; Sommers 2006) five in the United King-

dom (Chick 1985; Holloway 2007; McManus 2003; McQueen

2006; Watson 1999) one in Australia (Heather 1996), one in Ger-

many (Freyer-Adam 2008), two in Tiawan (Liu 2011; Tsai 2009)

and one in Finland (Antti-Poika 1988).

Settings

Six of the studies took place in general medical wards (Chick 1985,

Freyer-Adam 2008, Holloway 2007; McQueen 2006; McManus

2003; Saitz 2007), three in trauma centres (Gentilello 1999;

Schermer 2006; Sommers 2006), two in a range of settings

(Heather 1996; Watson 1999), one in a medical/surgical unit (Liu

2011; Tsai 2009) and one in an Orthopaedic and Trauma Centre

(Antti-Poika 1988).

Screening

Seven studies used established alcohol screening tools such as the

Short Michigan Alcoholism Screening Test (SMAST), Fast Alco-

hol Screening Tool (FAST), CAGE or AUDIT or other set criteria

list (Antti-Poika 1988; Chick 1985; Freyer-Adam 2008; Gentilello

1999; McQueen 2006; Saitz 2007; Tsai 2009). Four used self re-

ported alcohol consumption (Freyer-Adam 2008; Heather 1996;

McManus 2003; Watson 1999. One study used a retrospective

drinking diary Holloway 2007, and one used a blood alcohol con-

tent greater than or equal to 10mg/dl following motor vehicle col-

lision Sommers 2006.

Control

Control groups received usual care Antti-Poika 1988; Chick 1985;

Gentilello 1999; Freyer-Adam 2008; Heather 1996; Holloway

2007; McManus 2003; Liu 2011; McQueen 2006 Schermer2006;

Sommers 2006;Tsai 2009; Watson 1999;). One study provided

usual care, screening and feedback on this (Saitz 2007).

Brief intervention

Brief interventions consisted of all, or any, of the following: self

efficacy enhancement, skills based counselling, brief motivational

counselling, brief advice, education leaflets, telephone calls, feed-

back letter. Ten studies evaluated a single brief intervention lasting

between 15-60 minutes (Chick 1985; Freyer-Adam 2008; Heather

1996; Holloway 2007; Gentilello 1999; McQueen 2006; Saitz

2007; Schermer 2006; Tsai 2009; Watson 1999). Three studies

evaluated two brief intervention sessions (Liu 2011; McManus

2003; Sommers 2006). One study evaluated two brief interven-

tions delivered in hospital and follow up at outpatient clinic

(Antti-Poika 1988).

Intervention delivery

Brief interventions were delivered by a variety of different health

professionals, counsellors and social care workers. In five stud-

ies brief interventions were delivered by nurses (Chick 1985;

Holloway 2007; Sommers 2006; Tsai 2009; Watson 1999). In

a further three studies the intervention was delivered by a range

of professionals a psychologist (Gentilello 1999), occupational

therapists (McQueen 2006), alcohol counsellor (McManus 2003)

and social workers (Liu 2011). The remaining five studies re-

ported that individuals from more than one professional group

delivered the intervention (Freyer-Adam 2008), nurse and physi-

cians (Antti-Poika 1988), psychology graduate and nurse (Heather

1996), trained counsellor and PhD psychology students (Saitz

2007) and trauma surgeon or social worker (Schermer 2006).

Excluded studies

Of the possibly relevant studies identified 38 were excluded.

Reasons for exclusion are summarised in the Characteristics of

excluded studies table.

Risk of bias in included studies

Details of how and why the authors rated the included studies

on the following criterion are provided in the Characteristics of

included studies. Figure 2 provides a summary of overall risk of

bias in the 14 studies as high, low or unclear. Figure 3 provides

details of the judgments about each methodological quality item

for each study.

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Figure 2. Methodological quality graph: review authors’ judgements about each methodological quality

item presented as percentages across all included studies.

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Figure 3. Methodological quality summary: review authors’ judgements about each methodological quality

item for each included study.

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Allocation

Sequence generation

Sequence generation/randomisation was deemed to be adequate

in two studies using computer generated codes, off site data man-

agement or opaque sealed envelopes (Gentilello 1999; Liu 2011;

Tsai 2009). In five studies the method of randomisation was un-

clear (Antti-Poika 1988,McQueen 2006, Saitz 2007, Schermer

2006 and Sommers 2006). Five studies used either a block de-

sign whereby alternate wards acted as control or intervention site,

this was rotated in a random pattern in four studies and in one

the control and intervention ward remained static (Chick 1985;

Heather 1996; Holloway 2007; McManus 2003; Watson 1999).

One study used time frame (date of admission) as the method of

group allocation (Freyer-Adam 2008).Therefore six studies were

judged at high risk of selection bias because of inadequate sequence

generation method.

Allocation concealment

Allocation concealment was judged to be adequate in six studies

(Gentilello 1999; Liu 2011; McQueen 2006; Saitz 2007; Schermer

2006; Tsai 2009). Inadequate allocation concealment was found

in six studies (Chick 1985; Freyer-Adam 2008; Heather 1996;

Holloway 2007; McManus 2003; Watson 1999). Allocation con-

cealment was unclear in two studies (Antti-Poika 1988; Sommers

2006).

Blinding

Due to the nature of this intervention it is not possible to

blind participants or staff providing the intervention. It is how-

ever possible to blind outcome assessors. In 11 studies the out-

come assessors were blinded to the nature of the groups (Chick

1985; Gentilello 1999; Heather 1996; Holloway 2007; Liu 2011;

McManus 2003; McQueen 2006; Saitz 2007; Sommers 2006; Tsai

2009; Watson 1999). It was unclear in two studies Antti-Poika

1988 and Schermer 2006 and in one study only 62% had a dif-

ferent assessor at follow up (Freyer-Adam 2008).

Incomplete outcome data

Three of the 14 studies reported that an intention to treat analysis

was undertaken (Holloway 2007; Liu 2011; Saitz 2007). In one

study intention to treat was not appropriate as this study reported

on police driving citation records and had no loss to follow up

(Schermer 2006). Five trials did not use an intention to treat anal-

ysis (Chick 1985; Freyer-Adam 2008; McQueen 2006; Sommers

2006; Tsai 2009). In the remaining five studies it was unclear

whether an intention to treat analysis was undertaken (Antti-Poika

1988; Gentilello 1999; Heather 1996; McManus 2003; Watson

1999).

Other potential sources of bias

In one study Antti-Poika 1988 the control and intervention groups

were not similar at baseline in relation to mean alcohol consump-

tion. In one study there were more medical patients than in other

groups (Tsai 2009). No additional sources of bias were identified

for the remaining 12 studies. It was not possible to look for the

impact of risk of bias by sensitivity analysis due to limited number

of comparable studies included in this review.

Effects of interventions

1 Brief intervention vs control (Figure 1.1 - 1.10)

1.1 and 1.2 Mean alcohol consumption in grams per week and

sensitivity analysis

Eight studies involving 2196 participants at entry presented data

on mean alcohol consumption in grams per week at four, six or

nine months or one year follow up. One study reported outcomes

at four and nine months (Liu 2011), four studies reported out-

comes at six months (Antti-Poika 1988; Heather 1996; Holloway

2007; McManus 2003) and four studies reported outcomes at one

year (Chick 1985; Freyer-Adam 2008; Liu 2011; Watson 1999).

Meta-analysis of weighted mean differences showed a significant

difference at six months follow up MD -69.43 (95% CI -128.14

to -10.72) and at nine months follow up MD -182.88 (95% CI -

360.00 to -5.76) in favour of the brief intervention but no signifi-

cant difference at one year follow up MD -33.62 (95% CI -82.27

to 15.03). For all see Analysis 1.1

However there was significant heterogeneity I2=68%, P=0.05 in

the four studies with outcomes at six months (Antti-Poika 1988;

Heather 1996; Holloway 2007; McManus 2003), therefore a sen-

sitivity analysis was undertaken excluding (Antti-Poika 1988) as

this study included additional follow up care and assessors were

not blinded. The result become not statistically significant but a

trend MD -55.49 (95% CI -115.33 to 4.35), was observed to-

wards consuming less grams of alcohol per week in those receiving

the brief intervention compared with those in the control group.

See Analysis 1.2.

Furthermore in the original analysis of one year follow up we

pooled data from two groups in one study Freyer-Adam 2008

we therefore undertook a sensitivity analysis removing the physi-

cian delivered intervention group, the result did not change and

there was still no significant difference between the groups MD -

36.31(95% CI -86.64 to 14.01). See Analysis 1.2.

1.3 Mean alcohol consumption per week (change scores from

baseline)

Three studies involving 1318 participants at entry presented

change score data on mean alcohol consumption per week. Two

studies presented change scores at six month follow up Gentilello

1999; Holloway 2007 and two studies at one year follow up

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Gentilello 1999; Saitz 2007. Meta-analysis using random effects

model of standardised mean differences showed no significant

difference at six months between brief intervention and control

groups SMD -0.26 (95% CI -0.73 to 0.21). A meta-analysis of

standardised mean differences at one year follow up showed no

significant difference between the groups SMD -0.08 (95% CI -

0.41 to 0.24). For both see Analysis 1.3.

1.4 Self reports of alcohol consumption methods of alcohol

consumption (using outcome tools and face to face interviews)

Three studies involving 603 participants at entry presented self re-

ports of alcohol consumption, FAST (McQueen 2006), AUDIT

(Tsai 2009), and face to face interviews (Heather 1996). Standard-

ised mean difference at follow up points of 3 and 6 months showed

no significant difference between control and brief intervention.

However there was a significant difference at one year follow up

with a reduction in participants’ self report of alcohol consump-

tion in the brief intervention group, SMD - 0.26 (95% CI -0.50

to -0.03), see Analysis 1.4).

1.5 Laboratory markers (GammaGT)

Three studies involving 426 participants at entry presented

Gamma GT results Antti-Poika 1988; Chick 1985; Watson 2000,

with follow up points of six months Antti-Poika 1988 and one

year Chick 1985; Watson 1999. Meta-analysis of weighted mean

difference showed no significant difference between control and

brief intervention. Six month follow up WMD 7.00 (95% CI -34

to 48), one year follow up, WMD -5.05 (95% CI -37 to 27), see

Analysis 1.5.

1.6 Number of binges

Only one study involving 341 participants at entry presented data

on number of binges (Saitz 2007), no significant differences in

number of binges was observed between control and brief inter-

vention groups RR 0.99 (95% CI 0.83 to 1.19), see Analysis 1.6.

1.7 Heavy drinking episodes (days per week)

One study (Liu 2011) involving 616 participants presented data

on this outcome at four, nine and 12 months follow up. Significant

differences were observed in favour of the brief intervention group

at all time points, MD -0.56 (95% CI -1.02 to -0.10); MD -0.78

(95% CI -1.32 to -0.24); MD -0.71 (95% CI -1.26 to -0.16) days

per week respectively, see Analysis 1.7

1.8 and 1.9 Death and sensitivity analysis

Nine studies reported death involving a total of 3256 participants

at entry. Follow up at 3 months McQueen 2006; 4 months Liu

2011; 6 months Gentilello 1999; McManus 2003; Sommers 2006;

Tsai 2009, 9 months Liu 2011 and follow up at one year Chick

1985; Freyer-Adam 2008; Gentilello 1999; Liu 2011; Saitz 2007;

Sommers 2006; Tsai 2009; There were no significant differences

in number deaths between control and brief intervention at three,

four or nine months follow up. However there was a significant

difference at 6 months, RR 0.42 (95% CI 0.19 to 0.94) and one

year, RR 0.60 (95% CI 0.40 to 0.91) with less deaths in the brief

intervention groups than control groups. For all see Analysis 1.8.

In the original analysis of one year follow up we pooled data from

two groups in one study Freyer-Adam 2008 we therefore under-

took a sensitivity analysis removing the physician delivered inter-

vention group there was still a significant difference between the

groups, RR 0.61 (95% CI 0.39 to 0.96) with less deaths in the

brief intervention group than control group, see Analysis 1.9.

1.10 Mean alcohol consumption in grams per week restricted

to studies including only men

Four studies included men only (Antti-Poika 1988; Chick 1985;

Heather 1996; Liu 2011) involving a total of 1066 participants.

Meta-analysis of these studies for data at four, six and twelve

months follow up showed no significant difference between brief

intervention and control with substantial heterogeneity between

studies. However there was a significant difference at nine months

follow up, MD -182.88 (95% CI -360.00 to -5.76) grams per

week in favour of brief intervention but this was data from only

one study (Liu 2011), see Analysis 1.10.

1.11 Driving Offences

One study involving 126 participants presented data on number

of driving offences within a three year follow up period (Schermer

2006). This showed promising but not statistically significant re-

duction in driving offences in favour of those who received brief

intervention , RR 0.52 (95% CI 0.22 to 1.19), see Analysis 1.11.

1.12 Number of days hospitalised in previous 3 months

One study (Liu 2011) involving 616 participants presented data on

this outcome at four, nine and 12 months follow up. No significant

differences were observed at any time point, see Analysis 1.12.

1.13 A&E visits in previous 3 months

One study (Liu 2011) involving 616 participants presented data on

this outcome at four, nine and 12 months follow up. No significant

differences were observed at any time point, see Analysis 1.13.

D I S C U S S I O N

Summary of main results

This systematic review assessed the effectiveness of brief interven-

tions on alcohol consumption and other outcomes (death, driving

offences, number of days hospitalised, accident and emergency vis-

its and laboratory markers i.e. Gamma GT), for adults with heavy

alcohol use admitted to general hospital wards not specifically for

alcohol treatment. Fourteen studies involving 4041 participants

were included.

Our primary outcome measure was alcohol consumption. A meta-

analysis of four studies showed a significant difference in favour

of brief interventions in the reduction of alcohol consumption at

six month follow up, MD -69.43 (95% CI -128.14 to -10.72). A

sensitivity analysis (one study was removed due to methodological

heterogeneity) also demonstrated a trend in this direction but the

result become not statistically significant, MD -55.49 (95% CI -

115.33 to 4.35). There was also a significant difference in favour

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of the brief intervention group based on the results of one study

for alcohol consumption at nine months follow up. However there

was no significant difference between the groups at one year fol-

low up. Furthermore there was a significant difference in self re-

ports of reduction of alcohol consumption at one year in favour

of brief interventions, SMD -0.26 (95% CI -0.50 to -0.03), but

there was no significant difference between the groups at 3 or 6

months.There was a statistically significant outcome in favour of

the brief intervention group in relation to heavy drinking episodes

in days per week at four months, MD -0.56; (95% CI -1.02 to -

0.10), nine months MD -0.78 (95% CI -1.32 to -0.24) and one

year follow up MD -0.71 (95% CI -1.26 to -0.16) though this

was based on the results of one study. Again based on the results of

one study the findings were statistically significant for number of

heavy drinking episodes per week at four months MD -0.56 (95%

CI -1.02 to -0.10), nine months MD -0.78 (95% CI -1.32 to -

0.24) and one year MD -0.71 (95% CI -1.26 to -0.16) in favour

of the brief interventions group.

There was also statistically significant differences for death rates at

6 months RR 0.42 (95% CI 0.19 to 0.94) and one year follow up

RR 0.60 (95% CI 0.40 to 0.91) in favour of those who received the

brief intervention. A sensitivity analysis - removing the physician

delivered intervention group from one study - also demonstrated

statistically significant difference RR 0.61 (95% CI 0.39 to 0.96)

in favour of brief interventions.

However there were no significant differences between brief inter-

ventions and control groups at any time points for; alcohol con-

sumption based on change scores from baseline, laboratory mark-

ers (GammaGT), number of binges, driving offences within 3

years, or for studies including only men mean alcohol consump-

tion in grams per week. These findings are in line with other re-

views of brief interventions in primary care primary care (Bertholet

2005; Kaner 2007) and hospital settings (Emmen 2004). The ab-

sence for any change in laboratory markers (GammaGT) could be

due to the fact that such tests do not show moderate reduction in

alcohol consumption and appear to lack sensitivity for non alcohol

dependent hazardous and harmful drinkers.

Secondary outcome measures of interest considered whether brief

interventions improve quality of life and ability to function in so-

ciety i.e. social relationships, employment, education and reduce

alcohol related injuries (e.g. falls violence, suicide and motor ve-

hicle accidents). Apart from one study (Schermer 2006) which

reported on driving offences none of the studies specifically mea-

sured these secondary outcomes.

Overall completeness and applicability ofevidence

Study Participants

The studies used a variety of methods to identify heavy alcohol

users such as FAST, AUDIT, CAGE, retrospective drinking diaries,

number of standard drinks per week. There was no consistency

across the studies in baseline consumption levels for participants

to be included. Seven of the fourteen studies attempted to exclude

alcohol dependent participants through excluding those known to

addiction services, evidence of chronic physical alcohol problems,

those deemed to be alcohol dependent by medical staff or scoring

positive for dependence on Short Form Alcohol Dependence data

questionnaire. In the remaining six studies one intentionally in-

cluded alcohol dependent participants with the remaining studies

reporting no upper limit in terms of alcohol consumption with

hazardous, harmful and dependent alcohol drinkers all being in-

cluded. Brief interventions have been reported to be ineffective

with alcohol dependent individuals (Bertholet 2005) though there

is ongoing debate within the field. It is therefore anticipated that

the inclusion of alcohol dependent participants in six out of 14

studies included in this review may have impacted upon the results.

Whilst the authors of this review did consider conducting a sen-

sitivity analysis based on the information contained in the studies

alcohol dependence was difficult to definitively define. However

further updates of this review should consider this aspect as more

studies become available.

Four studies included male participants only (Antti-Poika 1988;

Chick 1985; Heather 1996 Liu 2011) with the remaining ten

studies having a higher percentage of male participants typically

around 80%. The Cochrane review on brief interventions in pri-

mary care reports that brief interventions reduced the quantity of

alcohol consumed per week in men, but not women (Kaner 2007).

However, no conclusions on gender effect can be drawn from our

review.

Treatment exposure

Brief interventions were delivered by a number of different pro-

fessionals ranging from physicians, nurses, psychologists, psychol-

ogy students, occupational therapists and social workers. There is

no evidence to suggest the outcomes were different depending on

who delivered the intervention with an important element of brief

interventions being that they can be delivered by non-specialist

staff. There was some clinical heterogeneity between the trials in

terms of the characteristics of brief interventions (number of ses-

sions, duration). One study (Antti-Poika 1988a) was classified as

higher intensity based on the number of sessions spent counselling

participants in the intervention group. This study showed a greater

reduction in alcohol consumption than trials with a less intensive

treatment exposure. However these results should be interpreted

with caution as they are based on one small study (N=120) and

it should also be noted that the assessor was not blinded which

may have led to bias. These findings fit with the earlier systematic

review on brief interventions in primary care (Kaner 2007) which

found weak evidence that a greater length of time spent counselling

patients may result in greater reduction in alcohol consumption.

The structure and content of brief interventions requires further

research to evaluate effectiveness for hospital inpatients.

It is acknowledged that there are two categories of brief interven-

tions, simple advice and extended brief interventions (Raistrick

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2006). Some studies included in this review would fit clearly into

these categories but due to the limited number of studies with com-

parable outcomes a sub group analysis was not possible. Should

further studies emerge during the updating of this review it would

be important to consider undertaking a comparison of simple ad-

vice versus extended brief interventions. This has been identified

as being a pressing issue in this field of research.

Within the studies included in this review it is acknowledged that

there are differences in control groups - some studies had usual care,

some gave a leaflet (which could be seen as advice) and some gave

feedback on the results. Some of the studies included in this review

reported a reduction in alcohol consumption even in the control

group.The impact of screening should also be considered as the

phenomenon of assessment (or screening) reactivity appears well-

recognised in the alcohol field (Kypri 2007; McCambridge 2008;

Ogborne 1988). Screening involves asking participants about their

drinking patterns and this may have influenced drinking behaviour

in the short term as may the provision of a health education leaflet

or feedback on the results of screening. This view has also been

acknowledged by Kaner 2007 ’Effectiveness of Brief Interventions

in Primary Care’ which suggests that screening may impact on

alcohol consumption and is an area that requires further inves-

tigation. However there are alternative explanations for example,

regression to the mean or merely the fact that the participants were

admitted to hospital . With the potential that admission to hos-

pital acted as a catalyst for individuals to review and change their

alcohol consumption.

Length of follow-up

The period of time between the delivery of brief interventions and

follow up assessment ranged from three months to three years.

Four studies reported outcomes following six months and six re-

ported outcomes at one year. The results of this review demon-

strate a significant difference in favour of brief interventions in the

reduction of alcohol consumption at six month and nine month

follow up, but there was no significant difference between the

groups at one year follow up. However there was a significant dif-

ference in self reports of reduction of alcohol consumption at 1

year in favour of brief interventions. T

Completeness and applicability of evidence

The 14 studies included in this review were all written in English

and originated mainly from America (N=5) and the United King-

dom (N=4). This may limit the applicability of the evidence to

these healthcare systems and social environments. However evi-

dence suggests that alcohol consumption levels have been iden-

tified as more prevalent in Western Europe and America (Leon

2006). The majority of the participants in the studies were male

and four studies only included men, in the remaining ten studies

the participants were mixed but predominately 80% were male.

This may limit the generalizability of the results to female heavy

alcohol users. It is also important to note that the largest multi-

national study into brief interventions (WHO 1996) was not in-

cluded in this review; it included participants from a variety of

primary care settings in addition to general hospital, it was not

possible to separate the data to include only participants from gen-

eral hospital.

Quality of the evidence

Fourteen studies were included in this review seven of which were

randomised control trials. Of the remaining seven, one was a clus-

ter randomised control trial and six studies were controlled clinical

trials. Lack of adequate allocation concealment is associated with

bias (Moher 1998; Schulz 1995) therefore the impact of this on

results should be considered. In seven studies the participants were

not randomised to control or brief intervention groups and it is

unlikely that allocation up to the point of assignment was con-

cealed. Whilst the methodological quality of the included stud-

ies was mixed the nature of brief interventions is subject to sev-

eral potential methodological limitations. Due to the nature of

this intervention i.e. individualised brief interventions it was not

possible to blind the participants. Though blinding of outcome

assessors was possible however outcome assessors were blinded in

only nine studies.This is of major concern because most of the

outcomes considered by the studies were subjective. Contamina-

tion between control and intervention participants may also have

introduced the possibility of performance bias. However current

evidence suggests that only adequate randomisation, allocation

concealment and blinding of outcome assessor will influence ef-

fect size (Higgins 2008).

There was also methodological heterogeneity in terms of the types

of outcomes reported for self reported alcohol consumption and

laboratory markers used which meant meta-analysis for these out-

comes was limited.

Agreements and disagreements with otherstudies or reviews

Emmen 2004 focused specifically on general hospital settings iden-

tifying eight studies and concluded that the evidence for brief in-

terventions in a general hospital setting for problem drinkers was

still inconclusive. Our review has identified 14 studies and includes

data up to 2011. Emmen 2004 also included four studies which

were excluded from our review as the interventions did not fit with

our definition of brief interventions (two as the brief intervention

took place in an outpatient clinic, one as it was an audio-visual

presentation rather than a face to face brief intervention and one

as it was a confrontational interview to try and persuade alcohol

abusers to accept treatment).

The Cochrane systematic review (Kaner 2007) which relates to

brief interventions in primary care included a meta-analysis of 21

trials and reports strong evidence in favour of brief interventions.

Both the review in primary care and the current review suggest

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that screening alone may result in reduced alcohol consumption

and make recommendations to investigate this further.

A U T H O R S ’ C O N C L U S I O N S

Implications for practice

The main results of this review indicate that there are benefits to de-

livering brief interventions to heavy alcohol users in general hospi-

tal. Our results demonstrate that patients receiving brief interven-

tions have a greater reduction in alcohol consumption compared

to those in control groups at six month and nine month follow up

but this is not maintained at one year. In addition there were sig-

nificantly fewer deaths in the groups receiving brief interventions

than in control groups at 6 months and one year. However, these

findings are based on studies involving mainly male participants.

Furthermore screening, asking participants about their drinking

patterns, may also have a positive impact on alcohol consumption

levels and changes in drinking behaviour.

Implications for research

The effect of brief interventions for heavy alcohol users in general

hospitals requires further investigation to determine the optimal

content of brief intervention and treatment exposure and whether

they are likely to be more successful in patients with certain charac-

teristics. To facilitate meta-analysis, future research should utilise

primary outcome measures such as alcohol consumption reporting

in either units or grams of alcohol consumed or changes in alcohol

consumption from baseline. Surveillance post intervention should

be at least one year. Future studies in this area should consider the

CONSORT statement as a guide for both designing and report-

ing (www.consort-statement.org). Reporting should include the

method of randomisation, the use of blinded assessors, and an in-

tention to treat analysis and data presented as means and standard

deviations for continuous measures or number of events and total

numbers analysed for dichotomous measures. Future trials are re-

quired to add to the evidence base for brief interventions in gen-

eral hospital. In addition research should consider the impact of

screening and where possible investigate the effect on both males

and females. Recent debates within the brief interventions field

have also focused on wether brief interventions delivered within

general hospital are more effective in certain populations such as

young people or women or those with an alcohol attributed ad-

mission Saitz 2009; Williams 2010.

A C K N O W L E D G E M E N T S

We wish to thank Claire Ritchie Occupational Therapy Manager

for her support during this process, Lynn Legg for comments and

advice on drafting the protocol. Roberto Mollica for reviewing

and commenting on the draft protocol and Simona Vecchi for

assistance with the search strategy together with support and advice

on the review process. Fiona Cooper for assisting in identifying

studies for inclusion. We wish to thank NHS Greater Glasgow and

Clyde occupational therapy department and Partnerships in Care

(Ayr Clinic) for their continued support and Charlotte Boulnois

hospital librarian for help with locating articles.

R E F E R E N C E S

References to studies included in this review

Antti-Poika 1988 {published data only}

Antti-Poika I, Karaharju E, Roine R, Salaspuro M.

Intervention of heavy drinking - A prospective and

controlled study of 438 consecutive injured male patients.

Alcohol and Alcoholism 1988;23(2):115–21.

Chick 1985 {published data only}

Chick J, Lloyd G, Crombie E. Counselling problem

drinkers in medical wards a controlled study. British Medical

Journal 1985;290:965–7.

Freyer-Adam 2008 {published data only}

Freyer-Adam J, Coder B, Baumeister S.E, Bischof G, Riedel

J, Paatsch K, et al.Brief alcohol intervention for general

hospital inpatients: A randomised controlled trial. Drug

and Alcohol Dependence 2008;93:233–43.

Gentilello 1999 {published data only}

Gentilello LM, Rivara FP, Donovan DM, Jurkovich GJ,

Daranciag E, et al.Alcohol interventions in a trauma centre

as a means of reducing the risk of injury recurrence. Annals

of Surgery 1999;230(4):473–90.

Heather 1996 {published data only}

Heather N, Rollnick S, Bell A, Richmond R. Effects of

brief counselling among male heavy drinkers identified on

general hospital wards. Drug and alcohol review 1996;15:

29–38.

Holloway 2007 {published and unpublished data}

Holloway AS, Watson HE, Arthur AJ, Starr G, McFadyn

AK, McIntosh J. The effect of brief interventions on alcohol

consumption among heavy drinkers in a general hospital

setting. Addiction 2007;102(11):1762–70.

Liu 2011 {published data only}

Liu S, Wu S, Chen S, Huang H, Sun F, Fang C, et

al.Randomized controlled trial of a brief intervention

for unhealthy alcohol use in hospitalised Taiwanese men.

Addiction 2011;106(5):928–40.

15Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

Copyright © 2011 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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McManus 2003 {published data only}

McManus S, Hipkins J, Haddad P, Guthrie E, Creed

F. Implementing an effective intervention for problem

drinkers on medical wards. General Hospital Psychiatry

2003;25:332–7.

McQueen 2006 {published data only}

McQueen J, Allan L, Mains D. Brief Motivational

Counselling for Alcohol Abusers admitted to Medical

Wards. British Journal of Occupational Therapy 2006;69(7):

327–33.

Saitz 2007 {published data only}

Saitz R, Palfai TP, Cheng DM, Horton NJ, Freedner N,

Dukes K, Kraemer KL, et al.Brief intervention for medical

inpatients with unhealthy alcohol use. Annals of internal

medicine 2007;146(3):167–76.

Schermer 2006 {published data only}

Schermer CR, Moyers TB, Miller WR, Bloomfield LA.

Trauma centre brief interventions for alcohol disorders

decrease subsequent driving under the influence arrests. The

journal of trauma injury infection and critical care 2006;60:

29–34.

Sommers 2006 {published data only}

Sommers MS, Dyehouse JM, Howe SR, Fleming M, Fargo

JD, Schafer JC. Effectiveness of brief interventions after

alcohol related vehicular injury: A randomised controlled

trial. The journal of trauma injury infection and critical care

2006;61(3):523–33.

Tsai 2009 {published data only}

Tsai Y-F, Mei-Chu T, Yea-Pyng L, Ching-Yen C. Brief

Intervention for Problem Drinkers in a Chinese Population:

A Randomized Controlled Trial in a Hospital Setting.

Alcoholism: Clinical and Experimental Research 2009;33(1):

95–101.

Watson 1999 {published data only}

Watson HE. A study of minimal interventions for problem

drinkers in acute care settings. International Journal of

Nursing Studies 1999;36:425–34.

References to studies excluded from this review

Chang 2001 {published data only}

Chang G. Brief interventions for problem drinking in

women. Journal of Substance Abuse Treatment 2002;23:1–7.

Chick 1988 {published data only}

Chick J, Ritson B, Connaughton J, Stewart A, Chick

J. Advice versus extended treatment for alcoholism: a

controlled study. British Journal of addiction 1988;83:

159–70.

Crawford 2004 {published data only}

Crawford MJ, Patton R, Touquet R, Drummond C, Byford

S, Barrett B, Reece B, Brown A, Henry JA. Screening and

referral for brief intervention of alcohol misusing patients

in an emergency department; a pragmatic randomised

controlled trial. Lancet 2004;364:1334–9.

Cronkite 1978 {published data only}

Cronkite RC, Moos RH. Evaluating alcoholism treatment

programs: An integrated approach. Journal of Consulting

and Clinical Psychology 1978;46(5):1105–19.

Daniels 1992 {published data only}

Daniels V, Somers M, Orford J. How can risk drinking

amongst medical patients be modified? The effects

of computer screening advice and a self help manual.

Behavioural Psychotherapy 1992;20:47–60.

Davila 2000 {published data only}

Davila R, Sanchez-Craig M, Wilkinson DA. Effects of

using recommended coping strategies on drinking outcome

following a brief intervention. Addiction 2000;95(1):

115–22.

Diez 2002 {published data only}

Diez JF. Brief intervention in Cantabria (Spain) for alcohol

related problems [Intervention breve en Cantabria en

problems relacionades con alcohol]. Adicciones 2002;14(1):

13–24.

Dunn 1997 {published data only}

Dunn CW, Ries MD. Linking substance abuse services with

general medical care: Integrated brief interventions with

hospitalised patients. American Journal of Drug and Alcohol

Abuse 1997;23(1):1–13.

Duryea 1984 {published data only}

Duryea E, Mohr P, Mewman IM, Martin GL, Egwaoje

E. Six months follow up results of a preventive alcohol

education intervention. Journal of Drug Education 1984;14

(2):97–103.

Elvy 1988 {published data only}

Elvy GA, Wells JE, Baird KA. Attempted referral as an

intervention for problem drinking in general hospital.

British Journal of Addiction 1988;83(1):83–9.

Finney 1980 {published data only}

Finney JW Moos RH Mewborn CR. Postreatment

experience and treatment outcome of alcoholic patients

six months and two years after hospitalisation. Journal of

Consulting and Clinical Psychology 1980;48(1):17–29.

Fleming 1997 {published data only}

Fleming MF, Manwell LB, Barry KL, Sudbury P, et al.Brief

physician advice reduced drinking in older adults. Western

Journal of Medicine 2000;172(1):27.

Fleming 2002 {published data only}

Fleming MF, Mundt MP, French MT, Manwell LB,

Stauffacher EA, Lawton Barry K. Brief physician advice

for problem drinkers long-term efficacy and benefit cost

analysis. Alcoholism: Clinical and Experimental Research

2002;26(1):36–43.

Forsberg 2000 {published data only}

Forsberg L, Ekman S, Halldin J, Ronnberg S. Brief

interventions for risk consumption of alcohol at an

emergency surgical ward. Addictive Behaviours 2000;25(3):

471–5.

Goodhall 2008 {published data only}

Goodall CA, Ayoub AF, Crawford A, Smith I, Bowman A,

Koppel D, Gilchrist G. Nurse-delivered brief interventions

16Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

Copyright © 2011 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

Page 19: Cochrane Database of Systematic Reviews (Reviews) || Brief interventions for heavy alcohol users admitted to general hospital wards

for hazardous drinkers with alcohol-related facial trauma: A

prospective randomised control trial. British Journal of Oral

and Maxillofacial Surgery 2008;46:96–101.

Heather 1989 {published data only}

Heather N. Psychology and brief interventions. British

journal of addiction 1989;84:357–70.

Kuchipudi 1990 {published data only}

Kuchipudi V, Hobein K, Flickinger A, Iber FL. Failure of a

2-hour motivational intervention to alter recurrent drinking

behavior in alcoholics with gastrointestinal disease. Journal

of Studies on Alcohol 1990;51(4):356–60.

Lewis 1983 {published data only}

Lewis DC, Gordon AJ. Alcoholism and the general hospital:

The Roger Williams intervention program. Bulletin of the

New York Academy of Medicine 1982;59(2):181–97.

Lock 2006 {published data only}

Lock CA, Kaner E, Heather N, Doughty J, Crawshaw A,

McNamee P, Purdy S, Pearson P. Effectiveness of nurse

led brief intervention: a cluster randomised control trial.

Journal of advanced nursing 2006;54(4):426–39.

Maheswaran 1992 {published data only}

Mahaswaran R, Beevers M, Beevers DG. Effectiveness

of advice to reduce alcohol consumption in hypertensive

patients. Hypertension 1992;19:79–84.

Mattick 1994 {published data only}

Mattick RP, Jarvis T. Brief or minimal intervention for

’alcoholics’? The evidence suggests otherwise. Drug and

Alcohol Review 1994;13:137–44.

Miller 1980 {published data only}

Miller WR Taylor CA. Relative effectiveness of

bibliotherapy, individual and group self control training in

the treatment of problem drinkers. Addictive Behaviours

1980;5:13–24.

Miller 1988 {published data only}

Miller WR, Sovereign RG, Krege B. Motivational

Interviewing with problem drinkers II The drinkers check-

up as a preventive intervention. Behavioural Psychotherapy

1988;16:251–68.

Ockene 1999 {published data only}

Ockene JK, Adams A, Hurley TG, Wheeler EV, Herbert JR.

Brief physician and nurse practitioner delivered counselling

for high risk drinkers does it work?. Archives Internal

Medicine 1999;159:2198–205.

Persson 1989 {published data only}∗ Persson J, Magnusson PH. Early intervention in patients

with excessive consumption of alcohol a controlled study.

Alcohol 1989;6:403–8.

Rollnick 1997 {published data only}

Rollnick S, Butler C, Hodgson R. Brief interventions in

medical settings. Addiction Research 1997;5(4):331–42.

Rowland 1993 {published data only}

Rowland N, Maynard AK. Standardised and alcohol

education a hit or miss affair. Health Promotion International

1993;8:5–12.

Sanchez-craig 1990 {published data only}

Sanchez-Craig M. Brief didactic treatment for alcohol and

drug-related problems: an approach based on client choice.

British Journal of Addiction 1990;85:169–77.

Saunders 1988 {published data only}

Saunders JB. Early intervention in the hospital setting:

experience from WHO collaborative study. Australian -

Alcohol Drug Review 1988;7(3):345–51.

Saunders 1992 {published data only}

Saunders JB, Foulds K. Brief and early intervention;

experience from studies of harmful drinking. Australian and

New Zealand Journal of Medicine 1992;22:224–30.

Skutle 1987 {published data only}

Skutle A, Berg G. Training in controlled drinking for early

stage problem drinkers. British Journal of Addiction 1987;

82:493–501.

Smith 2003 {published data only}

Smith AJ, Hodgson RJ, Bridgeman K, Shepherd JP. A

randomized controlled trial of a brief intervention after

alcohol-related facial injury. Addiction 2003;98:43–52.

Soderstrom 2007 {published data only}

Soderstrom CA, DiClemente CC, Dischinger PC, Hebel

R, McDuff DR, Auman KM, Kuferea JA. A controlled trial

of brief intervention versus brief advice for at risk drinking

trauma centre patients. The Journal of Trauma Injury

Infection and Critical Care 2007;62(5):1102–112.

Watson 2000 {published data only}

Watson H. Problem drinkers among acute care inpatients.

Nursing Standard 2000;14(40):32–35.

Welte 1998 {published data only}

Welte JW, Perry P, Longabaugh R, Clifford PR. An outcome

evaluation of a hospital based early intervention program.

Addiction 1998;93(4):573–81.

WHO 1996 {published data only}

World Health Organsation. A cross national trial of brief

interventions with heavy drinkers. American Journal of

Public Health 1996;86(7):948–55.

Wilson 1978 {published data only}

Wilson A, White J, Lange DE. Outcome evaluation of a

hospital-based alcoholism treatment programme. British

Journal of Addiction 1978;73:39–45.

Wutzke 2002 {published data only}

Wutzke S. The long term effectiveness of brief interventions

for unsafe alcohol consumption: a 10 year follow up.

Addiction 2002;97(6):665–75.

References to ongoing studies

Hans-Juergen 2006 {unpublished data only}

Alcohol expert system intervention. Ongoing study Oct

2004 (estimated finish date Nov 2006).

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19Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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C H A R A C T E R I S T I C S O F S T U D I E S

Characteristics of included studies [ordered by study ID]

Antti-Poika 1988

Methods RCT

Participants Country of origin: Finland; N=120; Age: 20-64years; Sex: Male

Clinical Setting: Orthopaedic and trauma centre

Inclusion criteria: injured patients admitted for >24hours heavy drinkers scoring 7 points

or more on SMAST

Exclusion: patients with severe injuries e.g. major head injury, interview not possible

Interventions Intervention delivered by: nurse and physicians

Brief intervention group: 2 counselling sessions with a nurse and 1-3 sessions with a

physician plus booklet on how to control drinking (N=60)

Control group: Screening but no intervention (N=60)

Outcomes Length of follow-up 6 months

1) Alcohol consumed in the past week

2) Blood tests S-ASAT, S-ALAT, S-GGT obtained at 6 months

Notes This may be more than a brief intervention as 2 counselling sessions with a nurse and

1-3 sessions with a physician plus booklet on how to control drinking

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

Unclear risk Mentions randomisation but does not state method used

Allocation concealment (selection bias) Unclear risk Insufficient information about the allocation concealment pro-

cess to permit judgement of ’low’ or ’high risk’

Incomplete outcome data (attrition bias)

All outcomes

Unclear risk Loss to follow up: 11/60 intervention and 20/60 control group.

Not clear if these are taken into account in analysis

Other bias High risk Groups not similar at baseline mean alcohol consumption in

gramme 308 intervention group and 736 control group. Addi-

tionally this may be more than a brief intervention as 2 coun-

selling sessions with a nurse and 1-3 sessions with a physician

plus booklet on how to control drinking

Blinding of assessors? Unclear risk Does not state assessors were blind

20Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Chick 1985

Methods CCT

Participants Coumtry of origin: UK; N=156; Age 16-65 years; Sex: Male

Clinical Setting: General hospital medical wards

Inclusion Criteria: patients admitted for >48 hours, who scored positive for 2 or more

items on set criteria list

Exclusion: no fixed abode, mental state precluding reliable history, terminally ill or

already referred to department of Pscychiatry

Interventions Brief intervention delivered by: Nurse

Brief Intervention group: one 30-60 min counselling session with nurse (N=78)

Control group: Assessment only (N=78)

Outcomes Follow up at 6 and 12 months

1) Mean GGT

2) Absence of alcohol related symptoms

3) Reported consumption fallen by 50%

4) Relatives feedback

5) death at 12 months

Notes

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

High risk Alternate wards rotated between control and intervention

Allocation concealment (selection bias) High risk Investigators enrolling participants could possibly foresee assign-

ment as allocation to control or intervention was rotated be-

tween wards

Incomplete outcome data (attrition bias)

All outcomes

High risk Losses to follow up: 14/78 control group and 9/78 intervention

group. Not clear if these are taken into account in analysis

Other bias Low risk no additional sources of bias identified the authors have ac-

knowledged that the groups were not matched for the number

of alcohol related problems at intake though this outcome was

not specifically reported upon in this review

Blinding of assessors? Low risk Stated as blind to group

21Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Freyer-Adam 2008

Methods CCT

Participants Country of origin: Germany; N=595; Age: 18-64years; Sex: Mixed

Clinical Setting: General Hospital

Inclusion criteria: Scored positive on AUDIT and LAST, admitted to hospital > 24hrs.

Exclusion: Patients not cognitively/physically capable and those meeting criteria for

alcohol dependence

Interventions Brief Intervention delivered by: addiction counsellor, psychologist, social workers and

physicians

Brief intervention group1: (N=249) 25 minutes counselling adapted to individual cir-

cumstances and delivered by addiction counsellor, psychologist, social workers

Brief intervention group 2: (N=121) 25 minutes counselling adapted to individual cir-

cumstances and delivered by physicians

Control: Usual care

Outcomes Length of follow-up 12 months

1) Grams of alcohol per week

2) Death at 12 months

Notes Data was presented separately for liaison and physicians groups and as pooled data

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

High risk Randomisation by time frame based on date of admission. Con-

trol group recruited first

Allocation concealment (selection bias) High risk Staff were not blinded to the study group to which participants

were assigned

Incomplete outcome data (attrition bias)

All outcomes

Unclear risk Reasons of lost to follow up were reported but no account taken

in analysis

Other bias Unclear risk At baseline groups were comparable apart from age and intimate

partner and health satisfaction

Blinding of assessors? Unclear risk Not reported

Gentilello 1999

Methods RCT

Participants Country of origin: USA; N=762; Age: 18 years +; Sex: mixed

Clinical setting: patients in level 1 trauma centre

Inclusion Criteria: blood alcohol concentration, gamma GT and short Michigan Alco-

holism Screening Test (SMAST) score 3-8

22Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Gentilello 1999 (Continued)

Exclusion criteria: younger than 18 years, discharged within 24 hours, non-English

speaker, traumatic brain injury, not resident in Washington State, homeless, psychiatric

problems. or discharged to long term care facility

Interventions Brief Intervention delivered by: psychologist

Brief Intervention group: single motivational interview with psychologist (N=366)

Control group: Standard hospital care (N=396)

Outcomes Follow up at 6 and 12 months

1) Changes in mean weekly alcohol intake calculated in number of standard drinks per

week, converted into standard ethanol units i.e. 4oz wine=12oz beer=1oz distilled spirit

2) Trauma recurrence after hospital discharge i.e. injury requiring treatment or admission

to trauma centre

3) Traffic violations under influence of alcohol

4) Alcohol treatment services received since discharge.

5) Death at 3 months and 12 months

Notes

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

Low risk Computer generated code

Allocation concealment (selection bias) Low risk Investigators enrolling participants could not foresee assignment

because a computer generated code was used to conceal alloca-

tion

Incomplete outcome data (attrition bias)

All outcomes

Unclear risk Losses to follow up at 6 months: 89/396 control group and 100/

366 intervention group

Losses to follow up at 12 months: 181/396 control group and

172/366 intervention group

Not clear if these are taken into account in analysis

Other bias Low risk Although losses to follow were high they were similar across the

intervention and control groups. No additional sources of bias

were identified

Blinding of assessors? Low risk Stated

23Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Heather 1996

Methods CCT

Participants Country of origin: Australia; N=174; Age: 16-75 years; Sex: Male

Clinical setting: orthopaedic, surgical, cardiac, GI and medical wards

Inclusion criteria: self reported consumption of alcohol >28 units per week or 11+ units

in a session on at least one occasion per month standard unit = 10g ethanol

Exclusion criteria: less than 16 years greater than 75 years old, too ill, awaiting discharge

that day, poor English, unable to write due to injury or illiteracy, awaiting surgery that

day, poor neurological status, severe alcohol dependence

Interventions Brief Intervention delivered by: psychology graduate, nurse with experience of problem

drinkers or chief investigator following specialist training

Brief intervention group 1: 30-40 min skills based counselling (N=63)

Brief Intervention group 2: 30-40 min motivational interview (N=63)

Control group: Usual treatment (N=48)

Outcomes Follow-up at 6 months

1) Weekly alcohol consumption in standard units at initial assessment and 6 month

follow up

2) Information gained from collateral informant via telephone interview

Notes data from brief intervention group 2 used for analysis in this review

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

High risk Patients were not randomly assigned instead each intervention

was delivered in blocks with each block lasting 2-3 months

Allocation concealment (selection bias) High risk Investigators enrolling participants could possibly foresee assign-

ment as participants were allocated to control or intervention

groups in blocks in a non-randomised way

Incomplete outcome data (attrition bias)

All outcomes

Unclear risk Losses to follow up: 51/174 total across all 3 arms of the study;

15/48 control and 16/63 brief intervention 2 (motivational in-

terview)

Not clear if these are taken into account in analysis

Other bias Low risk No additional sources of bias were identified

Blinding of assessors? Low risk Stated

24Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Holloway 2007

Methods Cluster RCT

Participants Country of origin: UK; N=215; Age 18-75 years; Sex: mixed

Clinical setting: General medical and surgical wards

Inclusion criteria: Screened positive for alcohol consumption above national recom-

mended limits identified through 7 day drinking diary

Exclusion criteria: critically ill, day patients, evidence in medical notes of alcohol depen-

dence, drug dependence or mental illness, pregnancy

Interventions Intervention delivered by: mental health nurse

Brief Intervention group 1: Self efficacy enhancement 20 min brief intervention based

on FRAMES (N=70)

Brief Intervention group 2: Self help booklet (N=69)

Control group: Usual care (N=76)

Outcomes Follow up at 6 months outcomes repeat of baseline measures

a) Alcohol consumption in the past 7 days as compared with baseline

b) Number of drinking days in the last week as compared with baseline

c) Maximum number of units consumed in any one day over the past week

d) DRSEQ score

Notes data from Brief Intervention 1 used for analysis in this review

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

High risk Cluster randomisation allocated by ward rotated every 2 weeks

Allocation concealment (selection bias) High risk Investigators enrolling participants could possibly foresee assign-

ment because participants were allocated by ward

Incomplete outcome data (attrition bias)

All outcomes

Low risk Losses to follow up: 43/215 participants lost to follow up but

not clear in which groups. Intention to treat analysis undertaken

Other bias Low risk No additional sources of bias identified

Blinding of assessors? Low risk Stated

Liu 2011

Methods RCT

Participants Country of origin:Tawain N=616; Age 18-65 years (mean age 41.4 years); Sex: male

Clinical setting: medical and surgical wards

Inclusion criteria: Hospital inpatients consuming more than 14 drinks per week and

168g alcohol in the previous 30 days

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Liu 2011 (Continued)

Exclusion criteria: psychotic disorders or symptoms, bipolar disorder, major suicide risk,

serious medical illness or current psychiatric treatment or speciality treatment for an

alcohol use disorder

Interventions Intervention delivered by: Social workers trained in brief interventions (5 days skilled

based training)

Brief Intervention: two 30 minute sessions (one week apart) of brief intervention based

on the principles of motivational interviewing together with a brochure for use as a

reference for cutting back or stopping alcohol use. An optional third booster session was

provided for drinkers with alcohol use disorders referred to specialist care for alcohol

assessment or treatment (n=308)

Control group: Usual treatment though the physician in charge may have advised mod-

ifying alcohol if that was his/her normal practice (n=308)

Outcomes Follow up by telephone at 4 months, 9 months and 1 year

a) Change in alcohol consumption using time line follow up, i.e. self reported weekly

alcohol consumption

b) Number of drinking days per week

c) Number of heavy drinking episodes (5 drinks or more on one occasion)

d) Self reported alcohol problems

e) Number of hospital days

d) Number of emergency department visits in previous 3 months

e) Self reported receipt of specialist alcohol treatment in 12 month study period

Notes paper reports 14 drinks = 168g alcohol (thus each drink = 12 g and was used to convert

data presented from drinks to g of alcohol)

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

Low risk Computer generated allocation blocked procedure (block of 4)

to ensure balanced group assignments

Allocation concealment (selection bias) Low risk Off site data management group

Incomplete outcome data (attrition bias)

All outcomes

Low risk Intention to treat analysis undertaken

Other bias Low risk No additional sources of bias identified

Blinding of assessors? Low risk Assessors were blinded to group allocation

26Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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McManus 2003

Methods CCT

Participants Country of origin: UK; N=170; Age: Unclear; Sex: mixed

Clinical setting: General medical wards

Inlcusion criteria: Consumed >50 units or 33 drinks per week (men) or >35 units or 23

drinks per week (women)

Exlcusion criteria: Chronic physical problems due to alcohol e.g. cirrhosis, current or

recent contact with alcohol services, major psychiatric illness, admitted following delib-

erate self harm, not fluent in English, no fixed abode

Interventions Brief Intervention delivered by: alcohol counsellor

Brief Intervention group 1: Screening and 1 counselling session (N=45)

Brief Intervention group 2: Screening and 2 counselling sessions 1 in hospital and 1 on

discharge (N=45)

Control: screening only (N=80)

Outcomes Follow up interview at 6 months a) drinking diary to determine number of units/drinks

per week; b) units per week on admission and units per week at follow up median, IQR

Death at 6 months

Notes Data from brief intervention 2 used in analysis in this review

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

High risk Randomisation: block design phase 1: standard care phase; 2:

one counselling session phase; 3: two counselling sessions

Allocation concealment (selection bias) High risk Due to the three phase study design it would have been possible

for investigators to foresee what intervention group participants

would be in

Incomplete outcome data (attrition bias)

All outcomes

Unclear risk Losses to follow up: 19/80 control group; 8/45 brief intervention

group 1, and 10/45 brief intervention group 2

Not clear if these are taken into account in analysis

Other bias Low risk No additional sources of bias identified

Blinding of assessors? Low risk Stated

McQueen 2006

Methods RCT

Participants Country of origin: UK; N=40; Age:21-85 years; Sex: Mixed

Clinical setting: General medical wards

Inclusion criteria: Score 3 or above on alcohol screening tool (FAST)

Exclusion criteria: medically unwell, terminally ill, known to addiction services, deemed

27Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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McQueen 2006 (Continued)

alcohol dependent by medical staff or unable to give informed consent

Interventions Brief intervention delivered by: occupational therapists

Brief Intervention group: Screening and one session of brief motivational counselling

lasting maximum of 40 min and health information leaflet (N=20)

Control group: Screening and health information leaflet (N=20)

Outcomes Follow up interview at 3 months

1) Change in FAST score

2) Self reported reduction in consumption of alcohol

3) death

Notes

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

Unclear risk Not reported how sequence generation was made

Allocation concealment (selection bias) Low risk Investigators enrolling participants could not foresee assignment

because sequentially numbered opaque sealed envelopes were

used

Incomplete outcome data (attrition bias)

All outcomes

High risk Losses to follow up: 7/20 control and 6/20 brief intervention

Not taken into account in analysis

Other bias Low risk No additional sources of bias identified

Blinding of assessors? Low risk Stated

Saitz 2007

Methods RCT

Participants Country of origin: USA; N=341; Age: 18 years and over; Sex: mixed

Clinical setting: medical inpatient unit

Inclusion criteria: Score 8 or more on AUDIT, men included if drank >14 drinks per

week or 5 or more drinks per occasion. Women included if >11 drinks per week or 4 or

more drinks per occasion. Also had 2 contacts for independent verification and scored

>21 on MMSE

Exclusion criteria: not fluent in English or Spanish, scored <21 in mental state exami-

nation

Interventions Brief intervention delivered by: trained counsellors and PhD clinical psychology students

Brief Intervention group: 30 min of motivational counselling (N=172)

Control group: Usual care/screening patients told results of this (N=169)

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Saitz 2007 (Continued)

Outcomes Followed up at 3 months and 12 months

1) self reported receipt of alcohol assistance in past 3 months by patients with alcohol

dependence

2) change from baseline in number of mean drinks per day from enrolment to 12 months

3) changes in number of heavy drinking episodes from enrolment to 12 months

4) readiness to change

5) alcohol problems as measured by short inventory of alcohol problems

Notes 3/4 of participants met criteria for alcohol dependence and 1/4 were harmful/hazardous

drinkers

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

Unclear risk Unclear how sequence generation was made

Allocation concealment (selection bias) Low risk Investigators enrolling participants could not foresee assignment

because central allocation via an off site data management group

was used

Incomplete outcome data (attrition bias)

All outcomes

Low risk Losses to follow up: 14/169 control group and 23/172 brief

intervention group

Intention to treat analysis undertaken.

Other bias Unclear risk 3/4 of participants met criteria for alcohol dependence and 1/4

were harmful/hazardous drinkers. No other additional sources

of bias identified

Blinding of assessors? Low risk Stated

Schermer 2006

Methods RCT

Participants Country of origin: USA; N=126; Age: 16-80 years; Sex: mixed; Setting: trauma centre

Inclusion criteria: admitted to hospital for 24 hours or more following a motor vehicle

collision participants were both drivers and passengers

Inclusion criteria: English speaker, BAC >= to8 included alcohol dependent drinkers

and recurrent driving under influence offenders

Exclusion criteria: those with brain injury or requiring admission to rehabilitation hos-

pital

Interventions Brief intervention delivered by: Trauma surgeon or social worker

Brief Intervention group: one 30 min brief intervention (N=62)

Control group: standard care (N=64)

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Schermer 2006 (Continued)

Outcomes Driving under the influence arrests within 3 years of hospital discharge gained from

safety data

Notes

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

Unclear risk unclear how sequence generation was made

Allocation concealment (selection bias) Low risk Investigators enrolling participants could not foresee assignment

due to the use of opaque sealed envelopes

Incomplete outcome data (attrition bias)

All outcomes

Low risk Complete data on driving offences extracted from police records,

no loss to follow up as outcome purely driving under the in-

fluence arrests within 3 years of hospital discharge gained from

safety data

Other bias Low risk No additional sources of bias identified

Blinding of assessors? Unclear risk Not stated

Sommers 2006

Methods RCT

Participants Country of origin: USA; N:187; Sex:Mixed; Age:18-45years

Setting:Levelonetraumacentre

Inclusion Criteria:Injured drivers admitted to hospital; Blood alcohol content at least

10mg/dL on hospital admission; English speaking; Intact cognition; Potential for hospital

discharge in four weeks

Excluded:Attended alcohol treatment program in past year; Symptoms of alcohol with-

drawn; Drank>150g(12standarddrinksperday); Possibility of alcohol dependence

Interventions Control 20 minute health interview but no intervention (N=63)

two types of brief interventions

Intervention 1) Simple advice Intervention (N=68)

Intervention 2) Brief Counselling(N=56)

Outcomes Changes in alcohol consumption expressed as standard drinks per month/binges per

month

Adverse driving events (crashes,driving citations)

Number and length of hospital stays emergency department visits within 12 month

period

Death at 6 months

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Sommers 2006 (Continued)

Notes

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

Unclear risk Stated randomised but unclear how sequence generation was

made

Allocation concealment (selection bias) Unclear risk While randomised method is stated it is unclear wether investi-

gators could foresee assignment

Incomplete outcome data (attrition bias)

All outcomes

High risk No intention to treat analysis undertaken

Other bias Low risk No additional sources of bias identified

Blinding of assessors? Low risk Follow up assessor was blinded

Tsai 2009

Methods Cluster RCT

Participants Country of origin: Taiwan; N=389; Age: 18 years and over; Sex: mixed

Clinical setting: medical and surgical inpatient unit

Inclusion criteria: Positive AUDIT screening, >18 years old

Exclusion criteria: psychiatric illness, pregnant

Interventions Control - No Treatment (n=199)

Intervention - One 15 minute counselling session was administered at four different

levels based on subjects AUDIT scores (n=190)

Delivered by: Research assistant

Outcomes 1). AUDIT scores: 6 and 12 months

2). Comparison of mean change in AUDIT scores

3). Percentage of subjects whose drinking status improved, no change or worsened

4) death at 6 months and 12 months

Notes

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

Low risk Randomised by unit using random numbers table

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Tsai 2009 (Continued)

Allocation concealment (selection bias) Unclear risk As the hospital units were allocated to each group it is unclear

whether allocation was concealed

Incomplete outcome data (attrition bias)

All outcomes

Unclear risk Loss to follow up: 52/190intervention and 62/199 control. Not

clear if these are taken into account in analysis

Other bias Unclear risk At baseline groups were comparable apart from there were more

participants from medical wards in the control group

Blinding of assessors? Low risk Reported that different research assistants performed interven-

tion and follow up

Watson 1999

Methods CCT

Participants Country of origin: UK; N=150; Age:18-80 years, Sex: mixed

Setting: Acute inpatient medical, surgical and orthopaedic wards

Inclusion criteria: previous weeks or normal alcohol consumption >21 units for men or

14 units for women per week

Exclusion criteria: too ill for interview, unable to communicate verbally or had previous

treatment for alcohol problem

Interventions Brief intervention delivered by: nurse

Control group: No Intervention (n=47)

Education group given a health education leaflet only (N=37)

Brief Intervention group 1: brief one to one interpersonal advice 10-15 minutes (N=34)

Brief Intervention group 2: Health education leaflet and brief one to one interpersonal

advice as per group 1(N=32)

Outcomes Follow up at 12 months

a) self report data on alcohol consumption in previous week

b) number of alcohol related problems

c) Biological markers GGT and AST

Notes Data from brief intervention 3 were used in the analysis of this review

Risk of bias

Bias Authors’ judgement Support for judgement

Random sequence generation (selection

bias)

High risk Participants allocated to treatment of intervention group accord-

ing to the ward they were admitted to

Allocation concealment (selection bias) High risk Investigators enrolling participants could possibly foresee assign-

ment as participants were allocated according to the ward they

were admitted to

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Watson 1999 (Continued)

Incomplete outcome data (attrition bias)

All outcomes

Unclear risk Losses to follow up 16/47 control group and 11/32 Brief inter-

vention 3. Not clear if these are taken into account in analysis

Other bias Low risk No additional sources of bias identified

Blinding of assessors? Low risk Stated

Characteristics of excluded studies [ordered by study ID]

Study Reason for exclusion

Chang 2001 Review of articles not primary research

Chick 1988 Participants recruited from an outpatient clinic

Crawford 2004 Participants recruited via A&E it was unclear wether they were hospital inpatients intervention undertaken in

outpatient clinic

Cronkite 1978 Participants recruited from specialist residential alcohol programs not general hospital

Daniels 1992 Not randomised control trial and the intervention was computerised screening and a self help manual, i.e. not

brief intervention

Davila 2000 Participants recruited from primary care

Diez 2002 Study included inpatients, rural community, industry and primary health care separate data not available for

hospital inpatients

Dunn 1997 No Control group descriptive study on implementation of brief interventions

Duryea 1984 Participants were students

Elvy 1988 Excluded because the intervention is not a brief intervention but confrontational interview and referral on for

extended treatment and therefore not in the scope of the review

Finney 1980 Participants recruited from residential alcohol treatment program not general hospital

Fleming 1997 Participants were not recruited from general hospital

Fleming 2002 Participants were recruited from primary care

Forsberg 2000 No control group comparison of two types of brief interventions

Goodhall 2008 Participants were recruited in outpatient clinics

33Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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(Continued)

Heather 1989 Not primary research definition and description of brief intervention

Kuchipudi 1990 Intervention considered are out with scope of the review motivational interviews used as a means to get alcohol

abusers to accept treatment. Intervention offered on ward

Lewis 1983 Not brief intervention

Lock 2006 Participants recruited from primary care

Maheswaran 1992 Participants recruited from primary care

Mattick 1994 Review of studies not primary research

Miller 1980 Participants recruited from primary care

Miller 1988 Participants recruited from community

Ockene 1999 Participants recruited from primary care

Persson 1989 Participants recruited from outpatient clinic

Rollnick 1997 Primary care based discussion paper on implementation of brief interventions

Rowland 1993 Intervention delivered consisted of an alcohol education pack i.e. brief audio audio visual presentation there

did not appear to be a face to face brief intervention with a health or social care professional

Sanchez-craig 1990 Patients recruited from community via newspaper

Saunders 1988 Participants recruited from outpatient settings

Saunders 1992 Overview of studies and settings where brief interventions maybe used not primary research study

Skutle 1987 Participants recruited through newspaper advertisement not hospital inpatients

Smith 2003 Participants recruited via outpatient clinic not hospital inpatients

Soderstrom 2007 No Control group comparison of two types of brief interventions

Watson 2000 Prevalence study

Welte 1998 Includes psychiatric patients and general hospital unable to separate outcome data

WHO 1996 Participants were recruited from primary care and general hospital unable to separate outcome data

Wilson 1978 the intervention not a brief intervention therefore not in the scope of this review

34Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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(Continued)

Wutzke 2002 Partcipants were recruited from both general practice and acute hospital unable to obtain results for hospital

inpatients only

Characteristics of ongoing studies [ordered by study ID]

Hans-Juergen 2006

Trial name or title Alcohol expert system intervention

Methods RCT

Participants General hospital in patients fulfilling criteria for alcohol dependence, alcohol abuse or at risk drinking

Interventions 1. Transtheoretical model based expert system

2. Control group (booklet on health behaviour)

Outcomes Alcohol consumption

Readiness to change drinking behaviour

Starting date Oct 2004 (estimated finish date Nov 2006)

Contact information Hans-Juergen, University of Luebeck, Germany

Notes German Federal Ministry of Education and Research NCT00400010

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D A T A A N D A N A L Y S E S

Comparison 1. Brief interventions versus control

Outcome or subgroup titleNo. of

studies

No. of

participants Statistical method Effect size

1 Mean alcohol consumption in

grams per week: smaller values

indicate better outcome

8 Mean Difference (IV, Fixed, 95% CI) Subtotals only

1.1 4 month follow up 1 511 Mean Difference (IV, Fixed, 95% CI) -16.32 [-180.89,

148.25]

1.2 6 month follow up 4 453 Mean Difference (IV, Fixed, 95% CI) -69.43 [-128.14, -

10.72]

1.3 9 month follow up 1 479 Mean Difference (IV, Fixed, 95% CI) -182.88 [-360.00, -

5.76]

1.4 1 year follow up 4 1073 Mean Difference (IV, Fixed, 95% CI) -33.62 [-82.27, 15.

03]

2 Sensitivity analysis: Mean

alcohol consumption in grams

per week: smaller values

indicate better outcome

7 Mean Difference (IV, Random, 95% CI) Subtotals only

2.1 6 month follow up 3 364 Mean Difference (IV, Random, 95% CI) -55.49 [-115.33, 4.

35]

2.2 1 year follow up 4 997 Mean Difference (IV, Random, 95% CI) -36.31 [-86.64, 14.

01]

3 Mean alcohol consumption

(change scores from baseline):

smaller values indicate better

outcome

3 Std. Mean Difference (IV, Random, 95% CI) Subtotals only

3.1 6 month follow up 2 687 Std. Mean Difference (IV, Random, 95% CI) -0.26 [-0.73, 0.21]

3.2 1 year follow up 2 696 Std. Mean Difference (IV, Random, 95% CI) -0.08 [-0.41, 0.24]

4 Self reports of alcohol

consumption (smaller values

indicate better outcome)

3 Std. Mean Difference (IV, Fixed, 95% CI) Subtotals only

4.1 3 month follow up 1 27 Std. Mean Difference (IV, Fixed, 95% CI) -0.14 [-0.90, 0.61]

4.2 6 month follow up 2 405 Std. Mean Difference (IV, Fixed, 95% CI) -0.04 [-0.24, 0.15]

4.3 1 year follow up 1 275 Std. Mean Difference (IV, Fixed, 95% CI) -0.26 [-0.50, -0.03]

5 Laboratory markers

(GammaGT): smaller values

indicate better outcome

3 Mean Difference (IV, Fixed, 95% CI) Subtotals only

5.1 6 month follow up 1 89 Mean Difference (IV, Fixed, 95% CI) 7.0 [-33.77, 47.77]

5.2 1 year follow up 2 160 Mean Difference (IV, Fixed, 95% CI) -5.05 [-36.82, 26.

73]

6 Number of binges: smaller values

indicate better outcome

1 287 Risk Ratio (M-H, Fixed, 95% CI) 0.99 [0.83, 1.19]

7 Heavy drinking episodes (days

per week): smaller values

indicate better outcome

1 Mean Difference (IV, Fixed, 95% CI) Subtotals only

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7.1 4 months follow up 1 511 Mean Difference (IV, Fixed, 95% CI) -0.56 [-1.02, -0.10]

7.2 9 months follow up 1 479 Mean Difference (IV, Fixed, 95% CI) -0.78 [-1.32, -0.24]

7.3 12 months follow up 1 473 Mean Difference (IV, Fixed, 95% CI) -0.71 [-1.26, -0.16]

8 Death: smaller values indicate

better outcome

9 Risk Ratio (M-H, Fixed, 95% CI) Subtotals only

8.1 3 month follow up 1 27 Risk Ratio (M-H, Fixed, 95% CI) 1.08 [0.07, 15.50]

8.2 4 month follow up 1 520 Risk Ratio (M-H, Fixed, 95% CI) 0.36 [0.07, 1.86]

8.3 6 month follow up 4 1166 Risk Ratio (M-H, Fixed, 95% CI) 0.42 [0.19, 0.94]

8.4 9 month follow up 1 495 Risk Ratio (M-H, Fixed, 95% CI) 0.89 [0.34, 2.33]

8.5 1 year follow up 7 2396 Risk Ratio (M-H, Fixed, 95% CI) 0.60 [0.40, 0.91]

9 Sensitivity analysis: Death:

smaller values indicate better

outcome

7 Risk Ratio (M-H, Random, 95% CI) Subtotals only

9.1 1 year follow up 7 2275 Risk Ratio (M-H, Random, 95% CI) 0.61 [0.39, 0.96]

10 Mean alcohol consumption in

grams per week restricted to

studies including only men:

smaller values indicate better

outcome

4 Mean Difference (IV, Random, 95% CI) Subtotals only

10.1 4 month follow up 1 511 Mean Difference (IV, Random, 95% CI) -16.32 [-180.89,

148.25]

10.2 6 month follow up 2 169 Mean Difference (IV, Random, 95% CI) -201.73 [-586.96,

183.50]

10.3 9 month follow up 1 479 Mean Difference (IV, Random, 95% CI) -182.88 [-360.00, -

5.76]

10.4 1 year follow up 2 606 Mean Difference (IV, Random, 95% CI) -51.52 [-144.25, 41.

20]

11 Driving offences within 3 years:

smaller values indicate better

outcome

1 126 Risk Ratio (M-H, Fixed, 95% CI) 0.52 [0.22, 1.19]

12 Number of days hospitalised

in previous 3 months: smaller

values indicate better outcome

1 Mean Difference (IV, Fixed, 95% CI) Subtotals only

12.1 4 months follow up 1 511 Mean Difference (IV, Fixed, 95% CI) 0.41 [-0.46, 1.28]

12.2 9 months follow up 1 479 Mean Difference (IV, Fixed, 95% CI) 0.73 [-0.23, 1.69]

12.3 12 months follow up 1 473 Mean Difference (IV, Fixed, 95% CI) 0.56 [-0.39, 1.51]

13 A&E visits in previous 3

months: smaller values indicate

better outcome

1 Mean Difference (IV, Fixed, 95% CI) Subtotals only

13.1 4 months follow up 1 511 Mean Difference (IV, Fixed, 95% CI) 0.03 [-0.03, 0.09]

13.2 9 months follow up 1 479 Mean Difference (IV, Fixed, 95% CI) 0.06 [-0.00, 0.12]

13.3 12 months follow up 1 473 Mean Difference (IV, Fixed, 95% CI) 0.05 [-0.01, 0.11]

37Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.1. Comparison 1 Brief interventions versus control, Outcome 1 Mean alcohol consumption in

grams per week: smaller values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 1 Mean alcohol consumption in grams per week: smaller values indicate better outcome

Study or subgroup Brief Intervention ControlMean

DifferenceMean

Difference

N Mean(SD) N Mean(SD) IV,Fixed,95% CI IV,Fixed,95% CI

1 4 month follow up

Liu 2011 268 721.92 (812.4) 243 738.24 (1055.88) -16.32 [ -180.89, 148.25 ]

Subtotal (95% CI) 268 243 -16.32 [ -180.89, 148.25 ]

Heterogeneity: not applicable

Test for overall effect: Z = 0.19 (P = 0.85)

2 6 month follow up

Antti-Poika 1988 49 308 (343) 40 736 (929) -428.00 [ -731.49, -124.51 ]

Heather 1996 47 276 (206) 33 307 (184) -31.00 [ -117.08, 55.08 ]

Holloway 2007 60 241.6 (153.6) 54 320 (276) -78.40 [ -161.64, 4.84 ]

McManus 2003 90 0 (0) 80 0 (0) 0.0 [ 0.0, 0.0 ]

Subtotal (95% CI) 246 207 -69.43 [ -128.14, -10.72 ]

Heterogeneity: Chi?? = 6.17, df = 2 (P = 0.05); I?? =68%

Test for overall effect: Z = 2.32 (P = 0.020)

3 9 month follow up

Liu 2011 254 380.76 (611.88) 225 563.64 (1227.14) -182.88 [ -360.00, -5.76 ]

Subtotal (95% CI) 254 225 -182.88 [ -360.00, -5.76 ]

Heterogeneity: not applicable

Test for overall effect: Z = 2.02 (P = 0.043)

4 1 year follow up

Chick 1985 69 256 (338.91) 64 280 (294.4) -24.00 [ -131.69, 83.69 ]

Freyer-Adam 2008 260 258.46 (348.14) 155 274.01 (344.09) -15.55 [ -84.29, 53.19 ]

Liu 2011 250 389.04 (614.04) 223 519.84 (1265.16) -130.80 [ -313.46, 51.86 ]

Watson 1999 21 192 (136.8) 31 244 (240) -52.00 [ -154.77, 50.77 ]

Subtotal (95% CI) 600 473 -33.62 [ -82.27, 15.03 ]

Heterogeneity: Chi?? = 1.51, df = 3 (P = 0.68); I?? =0.0%

Test for overall effect: Z = 1.35 (P = 0.18)

-500 -250 0 250 500

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38Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.2. Comparison 1 Brief interventions versus control, Outcome 2 Sensitivity analysis: Mean alcohol

consumption in grams per week: smaller values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 2 Sensitivity analysis: Mean alcohol consumption in grams per week: smaller values indicate better outcome

Study or subgroup Brief Intervention ControlMean

DifferenceMean

Difference

N Mean(SD) N Mean(SD) IV,Random,95% CI IV,Random,95% CI

1 6 month follow up

Heather 1996 47 276 (206) 33 307 (184) -31.00 [ -117.08, 55.08 ]

Holloway 2007 60 241.6 (153.6) 54 320 (276) -78.40 [ -161.64, 4.84 ]

McManus 2003 90 0 (0) 80 0 (0) 0.0 [ 0.0, 0.0 ]

Subtotal (95% CI) 197 167 -55.49 [ -115.33, 4.35 ]

Heterogeneity: Tau?? = 0.0; Chi?? = 0.60, df = 1 (P = 0.44); I?? =0.0%

Test for overall effect: Z = 1.82 (P = 0.069)

2 1 year follow up

Chick 1985 69 256 (338.91) 64 280 (294.4) -24.00 [ -131.69, 83.69 ]

Freyer-Adam 2008 184 255.39 (346.15) 155 274.01 (344.09) -18.62 [ -92.35, 55.11 ]

Liu 2011 250 389.04 (614.04) 223 519.84 (1265.16) -130.80 [ -313.46, 51.86 ]

Watson 1999 21 192 (136.8) 31 244 (240) -52.00 [ -154.77, 50.77 ]

Subtotal (95% CI) 524 473 -36.31 [ -86.64, 14.01 ]

Heterogeneity: Tau?? = 0.0; Chi?? = 1.39, df = 3 (P = 0.71); I?? =0.0%

Test for overall effect: Z = 1.41 (P = 0.16)

-500 -250 0 250 500

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39Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.3. Comparison 1 Brief interventions versus control, Outcome 3 Mean alcohol consumption

(change scores from baseline): smaller values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 3 Mean alcohol consumption (change scores from baseline): smaller values indicate better outcome

Study or subgroup Brief Intervention Control

Std.Mean

Difference Weight

Std.Mean

Difference

N Mean(SD) N Mean(SD) IV,Random,95% CI IV,Random,95% CI

1 6 month follow up

Gentilello 1999 266 -17.9 (73.39) 307 -14.1 (73.58) 56.4 % -0.05 [ -0.22, 0.11 ]

Holloway 2007 60 -15.1 (24.76) 54 -4.7 (10.68) 43.6 % -0.53 [ -0.91, -0.16 ]

Subtotal (95% CI) 326 361 100.0 % -0.26 [ -0.73, 0.21 ]

Heterogeneity: Tau?? = 0.09; Chi?? = 5.31, df = 1 (P = 0.02); I?? =81%

Test for overall effect: Z = 1.10 (P = 0.27)

2 1 year follow up

Gentilello 1999 194 -21.6 (58.49) 215 2.3 (121.7) 51.8 % -0.25 [ -0.44, -0.05 ]

Saitz 2007 141 -1.8 (8.31) 146 -2.6 (9.66) 48.2 % 0.09 [ -0.14, 0.32 ]

Subtotal (95% CI) 335 361 100.0 % -0.08 [ -0.41, 0.24 ]

Heterogeneity: Tau?? = 0.04; Chi?? = 4.69, df = 1 (P = 0.03); I?? =79%

Test for overall effect: Z = 0.51 (P = 0.61)

-1 -0.5 0 0.5 1

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40Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.4. Comparison 1 Brief interventions versus control, Outcome 4 Self reports of alcohol

consumption (smaller values indicate better outcome).

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 4 Self reports of alcohol consumption (smaller values indicate better outcome)

Study or subgroup Brief intervention Control

Std.Mean

Difference Weight

Std.Mean

Difference

N Mean(SD) N Mean(SD) IV,Fixed,95% CI IV,Fixed,95% CI

1 3 month follow up

McQueen 2006 13 5.38 (3.95) 14 6.07 (5.2) 100.0 % -0.14 [ -0.90, 0.61 ]

Subtotal (95% CI) 13 14 100.0 % -0.14 [ -0.90, 0.61 ]

Heterogeneity: not applicable

Test for overall effect: Z = 0.37 (P = 0.71)

2 6 month follow up

Heather 1996 43 8.84 (5.3) 33 8.27 (3.26) 18.5 % 0.12 [ -0.33, 0.58 ]

Tsai 2009 156 4.4 (7.3) 173 5 (7.8) 81.5 % -0.08 [ -0.30, 0.14 ]

Subtotal (95% CI) 199 206 100.0 % -0.04 [ -0.24, 0.15 ]

Heterogeneity: Chi?? = 0.63, df = 1 (P = 0.43); I?? =0.0%

Test for overall effect: Z = 0.42 (P = 0.68)

3 1 year follow up

Tsai 2009 138 3.1 (5.8) 137 4.7 (6.3) 100.0 % -0.26 [ -0.50, -0.03 ]

Subtotal (95% CI) 138 137 100.0 % -0.26 [ -0.50, -0.03 ]

Heterogeneity: not applicable

Test for overall effect: Z = 2.18 (P = 0.030)

-1 -0.5 0 0.5 1

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41Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.5. Comparison 1 Brief interventions versus control, Outcome 5 Laboratory markers

(GammaGT): smaller values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 5 Laboratory markers (GammaGT): smaller values indicate better outcome

Study or subgroup Brief Intervention ControlMean

Difference WeightMean

Difference

N Mean(SD) N Mean(SD) IV,Fixed,95% CI IV,Fixed,95% CI

1 6 month follow up

Antti-Poika 1988 49 74 (119) 40 67 (75.84) 100.0 % 7.00 [ -33.77, 47.77 ]

Subtotal (95% CI) 49 40 100.0 % 7.00 [ -33.77, 47.77 ]

Heterogeneity: not applicable

Test for overall effect: Z = 0.34 (P = 0.74)

2 1 year follow up

Chick 1985 65 89 (185.38) 59 99 (184.32) 23.8 % -10.00 [ -75.14, 55.14 ]

Watson 1999 17 43.3 (61.6) 19 46.8 (48.1) 76.2 % -3.50 [ -39.90, 32.90 ]

Subtotal (95% CI) 82 78 100.0 % -5.05 [ -36.82, 26.73 ]

Heterogeneity: Chi?? = 0.03, df = 1 (P = 0.86); I?? =0.0%

Test for overall effect: Z = 0.31 (P = 0.76)

-100 -50 0 50 100

Favours treatment Favours control

Analysis 1.6. Comparison 1 Brief interventions versus control, Outcome 6 Number of binges: smaller

values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 6 Number of binges: smaller values indicate better outcome

Study or subgroup Brief Intervention Control Risk Ratio Weight Risk Ratio

n/N n/N M-H,Fixed,95% CI M-H,Fixed,95% CI

Saitz 2007 87/141 91/146 100.0 % 0.99 [ 0.83, 1.19 ]

Total (95% CI) 141 146 100.0 % 0.99 [ 0.83, 1.19 ]

Total events: 87 (Brief Intervention), 91 (Control)

Heterogeneity: not applicable

Test for overall effect: Z = 0.11 (P = 0.91)

Test for subgroup differences: Not applicable

0.5 0.7 1 1.5 2

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42Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.7. Comparison 1 Brief interventions versus control, Outcome 7 Heavy drinking episodes (days

per week): smaller values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 7 Heavy drinking episodes (days per week): smaller values indicate better outcome

Study or subgroup Brief intervention ControlMean

Difference WeightMean

Difference

N Mean(SD) N Mean(SD) IV,Fixed,95% CI IV,Fixed,95% CI

1 4 months follow up

Liu 2011 268 2.25 (3.01) 243 2.81 (2.25) 100.0 % -0.56 [ -1.02, -0.10 ]

Subtotal (95% CI) 268 243 100.0 % -0.56 [ -1.02, -0.10 ]

Heterogeneity: not applicable

Test for overall effect: Z = 2.40 (P = 0.017)

2 9 months follow up

Liu 2011 254 2.17 (2.96) 225 2.95 (3.1) 100.0 % -0.78 [ -1.32, -0.24 ]

Subtotal (95% CI) 254 225 100.0 % -0.78 [ -1.32, -0.24 ]

Heterogeneity: not applicable

Test for overall effect: Z = 2.81 (P = 0.0050)

3 12 months follow up

Liu 2011 250 2.2 (2.95) 223 2.91 (3.11) 100.0 % -0.71 [ -1.26, -0.16 ]

Subtotal (95% CI) 250 223 100.0 % -0.71 [ -1.26, -0.16 ]

Heterogeneity: not applicable

Test for overall effect: Z = 2.54 (P = 0.011)

-1 -0.5 0 0.5 1

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43Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.8. Comparison 1 Brief interventions versus control, Outcome 8 Death: smaller values indicate

better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 8 Death: smaller values indicate better outcome

Study or subgroup Brief Intervention Control Risk Ratio Risk Ratio

n/N n/N M-H,Fixed,95% CI M-H,Fixed,95% CI

1 3 month follow up

McQueen 2006 1/13 1/14 1.08 [ 0.07, 15.50 ]

Subtotal (95% CI) 13 14 1.08 [ 0.07, 15.50 ]

Total events: 1 (Brief Intervention), 1 (Control)

Heterogeneity: not applicable

Test for overall effect: Z = 0.05 (P = 0.96)

2 4 month follow up

Liu 2011 2/272 5/248 0.36 [ 0.07, 1.86 ]

Subtotal (95% CI) 272 248 0.36 [ 0.07, 1.86 ]

Total events: 2 (Brief Intervention), 5 (Control)

Heterogeneity: not applicable

Test for overall effect: Z = 1.21 (P = 0.23)

3 6 month follow up

Gentilello 1999 4/266 2/307 2.31 [ 0.43, 12.50 ]

McManus 2003 2/72 8/61 0.21 [ 0.05, 0.96 ]

Sommers 2006 0/37 0/34 0.0 [ 0.0, 0.0 ]

Tsai 2009 2/190 9/199 0.23 [ 0.05, 1.06 ]

Subtotal (95% CI) 565 601 0.42 [ 0.19, 0.94 ]

Total events: 8 (Brief Intervention), 19 (Control)

Heterogeneity: Chi?? = 5.27, df = 2 (P = 0.07); I?? =62%

Test for overall effect: Z = 2.11 (P = 0.035)

4 9 month follow up

Liu 2011 8/262 8/233 0.89 [ 0.34, 2.33 ]

Subtotal (95% CI) 262 233 0.89 [ 0.34, 2.33 ]

Total events: 8 (Brief Intervention), 8 (Control)

Heterogeneity: not applicable

Test for overall effect: Z = 0.24 (P = 0.81)

5 1 year follow up

Chick 1985 1/78 2/78 0.50 [ 0.05, 5.40 ]

Freyer-Adam 2008 10/370 15/225 0.41 [ 0.19, 0.89 ]

Gentilello 1999 6/194 7/215 0.95 [ 0.32, 2.78 ]

0.05 0.2 1 5 20

Favours treatment Favours control

(Continued . . . )

44Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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(. . . Continued)

Study or subgroup Brief Intervention Control Risk Ratio Risk Ratio

n/N n/N M-H,Fixed,95% CI M-H,Fixed,95% CI

Liu 2011 8/258 8/231 0.90 [ 0.34, 2.35 ]

Saitz 2007 5/141 6/146 0.86 [ 0.27, 2.76 ]

Sommers 2006 0/37 1/34 0.31 [ 0.01, 7.29 ]

Tsai 2009 5/190 12/199 0.44 [ 0.16, 1.22 ]

Subtotal (95% CI) 1268 1128 0.60 [ 0.40, 0.91 ]

Total events: 35 (Brief Intervention), 51 (Control)

Heterogeneity: Chi?? = 3.27, df = 6 (P = 0.77); I?? =0.0%

Test for overall effect: Z = 2.38 (P = 0.017)

0.05 0.2 1 5 20

Favours treatment Favours control

Analysis 1.9. Comparison 1 Brief interventions versus control, Outcome 9 Sensitivity analysis: Death:

smaller values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 9 Sensitivity analysis: Death: smaller values indicate better outcome

Study or subgroup Brief Intervention Control Risk Ratio Weight Risk Ratio

n/N n/N

M-H,Random,95%

CI

M-H,Random,95%

CI

1 1 year follow up

Chick 1985 1/78 2/78 3.5 % 0.50 [ 0.05, 5.40 ]

Freyer-Adam 2008 6/249 15/225 22.8 % 0.36 [ 0.14, 0.92 ]

Gentilello 1999 6/194 7/215 17.1 % 0.95 [ 0.32, 2.78 ]

Liu 2011 8/258 8/231 21.2 % 0.90 [ 0.34, 2.35 ]

Saitz 2007 5/141 6/146 14.6 % 0.86 [ 0.27, 2.76 ]

Sommers 2006 0/37 1/34 2.0 % 0.31 [ 0.01, 7.29 ]

Tsai 2009 5/190 12/199 18.8 % 0.44 [ 0.16, 1.22 ]

Subtotal (95% CI) 1147 1128 100.0 % 0.61 [ 0.39, 0.96 ]

Total events: 31 (Brief Intervention), 51 (Control)

Heterogeneity: Tau?? = 0.0; Chi?? = 3.45, df = 6 (P = 0.75); I?? =0.0%

Test for overall effect: Z = 2.16 (P = 0.031)

0.05 0.2 1 5 20

Favours treatment Favours control

45Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.10. Comparison 1 Brief interventions versus control, Outcome 10 Mean alcohol consumption in

grams per week restricted to studies including only men: smaller values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 10 Mean alcohol consumption in grams per week restricted to studies including only men: smaller values indicate better outcome

Study or subgroup Brief Intervention ControlMean

Difference WeightMean

Difference

N Mean(SD) N Mean(SD) IV,Random,95% CI IV,Random,95% CI

1 4 month follow up

Liu 2011 268 721.92 (812.4) 243 738.24 (1055.88) 100.0 % -16.32 [ -180.89, 148.25 ]

Subtotal (95% CI) 268 243 100.0 % -16.32 [ -180.89, 148.25 ]

Heterogeneity: not applicable

Test for overall effect: Z = 0.19 (P = 0.85)

2 6 month follow up

Antti-Poika 1988 49 308 (343) 40 736 (929) 43.0 % -428.00 [ -731.49, -124.51 ]

Heather 1996 47 276 (206) 33 307 (184) 57.0 % -31.00 [ -117.08, 55.08 ]

Subtotal (95% CI) 96 73 100.0 % -201.73 [ -586.96, 183.50 ]

Heterogeneity: Tau?? = 65851.57; Chi?? = 6.08, df = 1 (P = 0.01); I?? =84%

Test for overall effect: Z = 1.03 (P = 0.30)

3 9 month follow up

Liu 2011 254 380.76 (611.88) 225 563.64 (1227.14) 100.0 % -182.88 [ -360.00, -5.76 ]

Subtotal (95% CI) 254 225 100.0 % -182.88 [ -360.00, -5.76 ]

Heterogeneity: not applicable

Test for overall effect: Z = 2.02 (P = 0.043)

4 1 year follow up

Chick 1985 69 256 (338.91) 64 280 (294) 74.2 % -24.00 [ -131.62, 83.62 ]

Liu 2011 250 389.04 (614.04) 223 519.84 (1265.16) 25.8 % -130.80 [ -313.46, 51.86 ]

Subtotal (95% CI) 319 287 100.0 % -51.52 [ -144.25, 41.20 ]

Heterogeneity: Tau?? = 0.0; Chi?? = 0.97, df = 1 (P = 0.32); I?? =0.0%

Test for overall effect: Z = 1.09 (P = 0.28)

-500 -250 0 250 500

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46Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.11. Comparison 1 Brief interventions versus control, Outcome 11 Driving offences within 3

years: smaller values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 11 Driving offences within 3 years: smaller values indicate better outcome

Study or subgroup Brief Intervention Control Risk Ratio Weight Risk Ratio

n/N n/N M-H,Fixed,95% CI M-H,Fixed,95% CI

Schermer 2006 7/62 14/64 100.0 % 0.52 [ 0.22, 1.19 ]

Total (95% CI) 62 64 100.0 % 0.52 [ 0.22, 1.19 ]

Total events: 7 (Brief Intervention), 14 (Control)

Heterogeneity: not applicable

Test for overall effect: Z = 1.55 (P = 0.12)

Test for subgroup differences: Not applicable

0.2 0.5 1 2 5

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47Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.12. Comparison 1 Brief interventions versus control, Outcome 12 Number of days hospitalised in

previous 3 months: smaller values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 12 Number of days hospitalised in previous 3 months: smaller values indicate better outcome

Study or subgroup Brief intervention ControlMean

Difference WeightMean

Difference

N Mean(SD) N Mean(SD) IV,Fixed,95% CI IV,Fixed,95% CI

1 4 months follow up

Liu 2011 268 1.4 (5.71) 243 0.99 (4.32) 100.0 % 0.41 [ -0.46, 1.28 ]

Subtotal (95% CI) 268 243 100.0 % 0.41 [ -0.46, 1.28 ]

Heterogeneity: not applicable

Test for overall effect: Z = 0.92 (P = 0.36)

2 9 months follow up

Liu 2011 254 1.65 (6.38) 225 0.92 (4.26) 100.0 % 0.73 [ -0.23, 1.69 ]

Subtotal (95% CI) 254 225 100.0 % 0.73 [ -0.23, 1.69 ]

Heterogeneity: not applicable

Test for overall effect: Z = 1.49 (P = 0.14)

3 12 months follow up

Liu 2011 250 1.54 (6.13) 223 0.98 (4.31) 100.0 % 0.56 [ -0.39, 1.51 ]

Subtotal (95% CI) 250 223 100.0 % 0.56 [ -0.39, 1.51 ]

Heterogeneity: not applicable

Test for overall effect: Z = 1.16 (P = 0.25)

-2 -1 0 1 2

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48Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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Analysis 1.13. Comparison 1 Brief interventions versus control, Outcome 13 A&E visits in previous 3

months: smaller values indicate better outcome.

Review: Brief interventions for heavy alcohol users admitted to general hospital wards

Comparison: 1 Brief interventions versus control

Outcome: 13 A%E visits in previous 3 months: smaller values indicate better outcome

Study or subgroup Brief intervention ControlMean

Difference WeightMean

Difference

N Mean(SD) N Mean(SD) IV,Fixed,95% CI IV,Fixed,95% CI

1 4 months follow up

Liu 2011 268 0.09 (0.39) 243 0.06 (0.25) 100.0 % 0.03 [ -0.03, 0.09 ]

Subtotal (95% CI) 268 243 100.0 % 0.03 [ -0.03, 0.09 ]

Heterogeneity: not applicable

Test for overall effect: Z = 1.04 (P = 0.30)

2 9 months follow up

Liu 2011 254 0.13 (0.43) 225 0.07 (0.26) 100.0 % 0.06 [ 0.00, 0.12 ]

Subtotal (95% CI) 254 225 100.0 % 0.06 [ 0.00, 0.12 ]

Heterogeneity: not applicable

Test for overall effect: Z = 1.87 (P = 0.061)

3 12 months follow up

Liu 2011 250 0.13 (0.43) 223 0.08 (0.27) 100.0 % 0.05 [ -0.01, 0.11 ]

Subtotal (95% CI) 250 223 100.0 % 0.05 [ -0.01, 0.11 ]

Heterogeneity: not applicable

Test for overall effect: Z = 1.53 (P = 0.13)

-0.2 -0.1 0 0.1 0.2

Favours brief interventio Favours control

A P P E N D I C E S

Appendix 1. Cochrane Library search strategy

1. MeSH descriptor Alcohol Drinking explode all trees

2. MeSH descriptor Alcohol-Related Disorders explode all trees

3. ((alcohol*) near/2 (abuse or use* or disorder* or consumption or drink*))

4. alcohol*

5. (#1 OR #2 OR #3 OR #4)

6. MeSH descriptor Nursing Care explode all trees

7. MeSH descriptor Patient Care explode all trees

8. MeSH descriptor Hospital Units explode all trees

9. MeSH descriptor Hospitals explode all trees

10. MeSH descriptor Inpatients explode all trees

11. inpatient*

12. hospital*

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13. MeSH descriptor Patient Admission explode all trees

14. (#6 OR #7 OR #8 OR #9 OR #10 OR #11 OR #12 OR #13)

15. (#5 AND #14)

16. brief near/2 intervention

17. MeSH descriptor Psychotherapy, Brief explode all trees

18. counselling

19. counseling

20. (#16 OR #17 OR #18)

21. (#15 AND #20)

22. (#21), from 2008 to 2011

Appendix 2. PubMed search strategy

Subject specific

1. Alcohol-Related Disorders[Mesh]

2. ((alcohol) and (abuse or misuse* or disorder* or drink* or consumption *))

3. ((hazard* or risk or heav*) AND (drink*))

4. #1 or #2 or #3

5. “Patient Care”[MeSH]

6. “Patient Admission”[Mesh]

7. Inpatients[MeSH]

8. Hospitals[MeSH]

9. Hospital* or inpatient*

10. #5 or #6 or #7 or #8 or #9

11. “brief intervention*”

12. “alcohol reduction”

13. “alcohol intervention”

14. “early intervention”

15. “minimal intervention”

16. counselling or counseling

17. #11 or #12 or #13 or #14 or #15 or #16

18. randomized controlled trial[pt]

19. controlled clinical trial[pt]

20. Random*[tiab]

21. placebo[tiab]

22. drug therapy [sh]

23. trial [tiab]

24. groups [tiab]

25. #18 or #19 or #20 or #21 or #22 or #23 or #24

26. animals [mh] NOT humans [mh]

27. #25 NOT #26

28. #4 AND #10 AND #17 AND #27

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Appendix 3. CINAHL search strategy via EBSCO

1. (MH “Alcohol-Related Disorders+”)

2. TX ((alcohol) and (abuse or misuse* or disorder* or drink* or consumption *))

3. TX ((hazard* or risk or heav*) AND (drink*))

4. S1 or S2 or S3

5. (MH “Acute Care”)

6. (MH “Inpatients”)

7. TX inpatient*

8. (MH “Hospitals+”)

9. (MH “Hospital Units+”)

10. TX hospital

11. TX Hospital*

12. (MH “Patient Admission”)

13. S5 or S6 or S7 or S8 or S9 or S10 or S11 or S12

14. TX “brief intervention”

15. TX counselling or TX counseling

16. TX “alcohol reduction”

17. TX “alcohol intervention”

18. TX “early intervention”

19. TX “minimal intervention”

20. S14 or S15 or S16 or S17 or S18 or S19

21. S4 and S13 and S20

22. MW randomi* or TI randomi* or AB randomi* or IN randomi*

23. MW Clin* or TI Clin* or AB Clin* or IN Clin*

24. MW trial* or TI trial* or AB trial* or IN trial

25. S23 and S24

26. (MH “Single-Blind Studies”)

27. (MH “Double-Blind Studies”)

28. (MH “Triple-Blind Studies”)

29. S26 or S27 or S28

30. MW singl* or TI singl* or AB singl* or IN singl*

31. MW doubl* or TI doubl* or AB doubl* or IN doubl*

32. MW tripl* or TI tripl* or AB tripl* or IN tripl*

33. MW trebl* or TI trebl* or AB trebl* or IN trebl*

34. MW mask* or TI mask* or AB mask* or IN mask*

35. MW blind* or TI blind* or AB blind* or IN blind*

36. S34 or S35

37. S30 or S31 or S32 or S33

38. (MH “Crossover Design”)

39. MW crossover or AB crossover or TI crossover or IN crossover

40. MW allocate* or AB allocate* or TI allocate* or IN allocate*

41. MW assign* or AB assign* or TI assign* or IN assign*

42. S40 or S41

43. MW random* or TI random* or IN random* or AB random*

44. S42 and S43

45. (MH “Random Assignment”)

46. (MH “Clinical Trials+”)

47. S22 or S25 or S26 or S27 or S28 or S29 or S30 or S31 or S32 or S33 or S36 or S37 or S38 or S39 or S44 or S45 or S46

48. S21 and S47

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Appendix 4. EMBASE search strategy

1. alcohol abuse:MESH

2. ((alcohol) and (abuse or use* or disorder*))

3. alcohol*

4. 1 or 2 or 3

5. exp Emergency Care/

6. (acute and care)

7. exp hospital patient/

8. inpatient*

9. exp Hospital/ or Hospital*

10. (patient and Admission)

11. exp Nursing Care/

12. 5 or 6 or 7 or 8 or 9 or 10 or 11

13. “brief intervention”

14. random*

15. placebo*

16. ((singl* or doubl* or trebl* or tripl*) and (blind* or mask*))

17. (crossover*)

18. exp randomized controlled trial

19. exp phase-2-clinical-trial

20. exp phase-3-clinical-trial

21. exp double blind procedure

22. exp single blind procedure

23. exp crossover procedure

24. exp Latin square design

25. exp PLACEBOS

26. exp multicenter study

27. 14/26 OR

28. 4 and 12 and 13 and 27

29. limit 28 to human

Appendix 5. Criteria for risk of bias assessment

Item Judgment Description

random sequence generation (selection

bias)

low risk The investigators describe a random component in the sequence gener-

ation process such as: random number table; computer random num-

ber generator; coin tossing; shuffling cards or envelopes; throwing dice;

drawing of lots; minimization

high risk The investigators describe a non-random component in the sequence

generation process such as: odd or even date of birth; date (or day) of

admission; hospital or clinic record number; alternation; judgement of

the clinician; results of a laboratory test or a series of tests; availability of

the intervention

Unclear risk Insufficient information about the sequence generation process to permit

judgement of low or high risk

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allocation concealment (selection bias) low risk Investigators enrolling participants could not foresee assignment because

one of the following, or an equivalent method, was used to conceal alloca-

tion: central allocation (including telephone, web-based, and pharmacy-

controlled, randomisation); sequentially numbered drug containers of

identical appearance; sequentially numbered, opaque, sealed envelopes

high risk Investigators enrolling participants could possibly foresee assignments

because one of the following method was used: open random allocation

schedule (e.g. a list of random numbers); assignment envelopes without

appropriate safeguards (e.g. if envelopes were unsealed or nonopaque or

not sequentially numbered); alternation or rotation; date of birth; case

record number; any other explicitly unconcealed procedure

Unclear risk Insufficient information to permit judgement of low or high risk This

is usually the case if the method of concealment is not described or not

described in sufficient detail to allow a definite judgement

blinding of outcome assessor (detection

bias)

low risk No blinding of outcome assessment, but the review authors judge that the

outcome measurement is not likely to be influenced by lack of blinding;

Blinding of outcome assessment ensured, and unlikely that the blinding

could have been broken

high risk No blinding of outcome assessment, and the outcome measurement is

likely to be influenced by lack of blinding;

Blinding of outcome assessment, but likely that the blinding could have

been broken, and the outcome measurement is likely to be influenced by

lack of blinding

Unclear risk Insufficient information to permit judgement of low or high risk;

incomplete outcome data (attrition bias)

For all outcomes except retention in treat-

ment or drop out

low risk No missing outcome data;

Reasons for missing outcome data unlikely to be related to true outcome

(for survival data, censoring unlikely to be introducing bias);

Missing outcome data balanced in numbers across intervention groups,

with similar reasons for missing data across groups;

For dichotomous outcome data, the proportion of missing outcomes

compared with observed event risk not enough to have a clinically relevant

impact on the intervention effect estimate;

For continuous outcome data, plausible effect size (difference in means or

standardized difference in means) among missing outcomes not enough

to have a clinically relevant impact on observed effect size;

Missing data have been imputed using appropriate methods

All randomised patients are reported/analysed in the group they were

allocated to by randomisation irrespective of non-compliance and co-

interventions (intention to treat)

high risk Reason for missing outcome data likely to be related to true outcome,

with either imbalance in numbers or reasons for missing data across in-

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tervention groups;

For dichotomous outcome data, the proportion of missing outcomes

compared with observed event risk enough to induce clinically relevant

bias in intervention effect estimate;

For continuous outcome data, plausible effect size (difference in means

or standardized difference in means) among missing outcomes enough

to induce clinically relevant bias in observed effect size;

‘As-treated’ analysis done with substantial departure of the intervention

received from that assigned at randomisation;

Unclear risk Insufficient information to permit judgement of low or high risk (e.g.

number randomised not stated, no reasons for missing data provided;

number of drop out not reported for each group);

Other bias low risk The study appears to be free of other sources of bias.

high risk There is at least one important risk of bias. For example, the study:

• Had a potential source of bias related to the specific study design

used; or

• Has been claimed to have been fraudulent; or

• Had some other problem.

Unclear risk There may be a risk of bias, but there is either:

• Insufficient information to assess whether an important risk of bias

exists; or

• Insufficient rationale or evidence that an identified problem will

introduce bias.

W H A T ’ S N E W

Last assessed as up-to-date: 16 May 2011.

Date Event Description

1 July 2011 New citation required but conclusions have not changed new citation because of new search, new studies, back-

ground emended

12 May 2011 New search has been performed Three additional studies included. Background infor-

mation, results, discussion and conclusions updated.

Changes to findings

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H I S T O R Y

Protocol first published: Issue 2, 2005

Review first published: Issue 3, 2009

Date Event Description

6 November 2008 New search has been performed Data added into studies awaiting assessment, track

changes accepted, references checked info on results for

driving offences added

16 June 2008 New citation required and conclusions have changed Substantive amendment

C O N T R I B U T I O N S O F A U T H O R S

JMQ drafted the protocol, LA and DM commented on protocol, all three reviewers LA, DM, JMQ assessed studies for inclusion,

methodological quality. TEH advised on data extraction LA, DM, TEH and JMQ extracted data. JMQ and TEH entered data and

wrote the review and DM and LA commented on drafts. VH assisted with data extraction and data entry during last update of the

review.

D E C L A R A T I O N S O F I N T E R E S T

McQueen, Allan and Mains are authors of one study included in this review. The authors have no other known conflicts of interest.

S O U R C E S O F S U P P O R T

Internal sources

• NHS Greater Glasgow and Clyde, Occcupational Therapy Department, UK.

• HealthQWest, UK.

External sources

• No sources of support supplied

D I F F E R E N C E S B E T W E E N P R O T O C O L A N D R E V I E W

It was necessary to change the way of assessing methodological quality of included studies as the protocol was published before RevMan5

and the new handbook, table of bias had been released.

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I N D E X T E R M S

Medical Subject Headings (MeSH)

Alcohol Drinking [epidemiology; ∗therapy]; Alcoholism [epidemiology; ∗therapy]; Counseling [∗methods]; Ethanol [∗poisoning];

Hospitalization; Patient Education as Topic [∗methods]; Randomized Controlled Trials as Topic

MeSH check words

Adolescent; Adult; Humans; Young Adult

56Brief interventions for heavy alcohol users admitted to general hospital wards (Review)

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