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Global burden of disease (GBD)
- How to measure disease burden
and importance of risk factors
10 September 2010 2
Measuring burden of disease
� What is burden of disease?
� Why measure burden of disease?
� How to measure burden of disease?
� The burden of disease in different countries
� The importance of risk factors to the burden of disease
10 September 2010 3
Diseases/diagnoses
� There are approx 137 different disease diagnoses
� Different interest groups emphasize different
diseases as “major public health problems”
� With limited resources within health care, how
and which diseases should be given priority?
10 September 2010 4
Global Burden of Disease (GBD)
WHO-project
� During the past decade, WHO and the World
bank have carried out a project with the aim to
develop one measure on the global burden of
disease
� This was the origin to the Global Burden of
Disease Project (GBD)
10 September 2010 5
What is burden burden of disease?
10 September 2010 6
A measurement of the gap between
the current health of the population
and an ideal situation
where everyone in the population
lives in old age in full health.
10 September 2010 7
Summary measures of population health
(SMPH)
Measures of population health
that combines information about both
mortality and disability
into a single number
10 September 2010 8
Global Burden of Disease (GBD)
WHO-project
� Several different methods and measures were
introduced to measure burden of disease in the
GBD-project
�HALE, QALY, etc
� The main measure that was used was DALY =
Disability Adjusted Life Years
10 September 2010 9
Why measure burden of disease?
10 September 2010 10
With a combined measure of
population health it is possible to:
� Compare health in a population over time or between different populations
� Identify and quantify inequalities
� Provide appropriate and balanced attention to non-fatal health outcomes
� Inform debates on priorities for health service delivery, planning, prevention etc.
10 September 2010 11
Using DALY to measure burden of
disease
10 September 2010 12
DALY
(Disability adjusted Life Years)
DALY is a combined measure on the
disease burden that describes ill health
in the population by combining
information about both
mortality and disability
10 September 2010 13
DALY
� Most frequently used to measure burden of disease
� What specifically is measured is the time (years) with optimal health that is lost due to:
�Premature death
� Lost of function (disease)
10 September 2010 14
The two basic components in DALY is thus:
� YLL (Years of Life Lost)
1 YLL = one year lost due to premature death
� YLD (Years of Lost due to Disability)
1 YLD = one year lost due to, disability
10 September 2010 15
To define lost years..
� The highest observed life expectancy for any
nation was chosen i.e., Japan.
�With a life expectancy: 82.5 years for women
�With a life expectancy: 80 years for men
10 September 2010 16
Which data are needed to
calculate DALY?
� Population: Age, sex, life expectancy
� Mortality, distributed by age and sex and cause of death
� Epidemiological data (incidence and duration) on non-
fatal disease, distributed by age and sex
� Valuation of disability
10 September 2010 17
Valuation (weighting) of disability (DW)
Valuation of how difficult the loss of
function is presumed to be.
10 September 2010 18
Valuation (weighting) of disability (DW)
� One example is a scale, i.e.,
�Disability is graded on a scale 0-1,
� 0= No disability, complete health,
� 1=Complete disability, death
10 September 2010 19
Valuation (weighting) of disability (DW)
� One example is a scale, i.e.,
�Disability is graded on a scale 0-1,
� 0= No disability, complete health,
� 1=Complete disability, death
Valuation (weighting) of disability (DW)
Complete health 0
Death 1
*Severe depression
*Cold
*Amputation of a leg
*Blindness
*Severe asthma
*Deafness
0.2
0.4
0.6
0.8
DISCUSSIONS
� Grade the different diseases on a scale between
1- and 0
� Think- you will have this condition during one day
(but you do not know for how long it will last).
� Loss of function ≠ handicap
Have in mind: loss of function
� The limitation a disease and injury bring to the
ability to function normal is
�The same for all people
� Loss of function ≠ handicap
�Ex. An amputated leg is valuated the same in DALY
irrespective of being a farmer in Indonesia or an office
worker in Sweden
Who should make these values?
Valuation (weighting) of disability (DW)
� Whose values?
� Patients
� This usually changes over time, adopt to disease
� General population
� Difficult for people to value diseases that they are not very aware of
� Health workers
� Often think the situation is worse than the patients
� Families to patients
� Often think the situation is worse than the patients
� In GBD-study
� Both population and highly educated people
How is YLL calculated?
� YLL = Years of life lost due to premature death
� The calculation of YLL for a specific diagnose (distributed by age and sex),
is made by multiplying number of deaths with life expectancy at point
when death occur.
YLL = N * L
Where;
N = number of deaths
L= Life expectancy
How is YLD calculated?
YLD = Years of Lost due to Disability
� The calculation of YLD for a specific diagnose (distributed by age and sex)
is made by multiplying the incidence (I) with expected time to recovery
or death (L) with disability weight (0-1).
YLD = I * L * DW
Where;
I = Number of incident cases
L= Expected time to recovery or death
DW = Disability weight
How is DALY calculated?
YLL + YLD = DALY
How is DALY calculated?
YLL + YLD = DALY
Calculating DALY (example individual level)
Example 1: A man who is completely healthy and dies 80 years old. 0 YLL,
0 YLD 0 DALY
Death 1
Complete 0
health
80 years
Calculating DALY (example individual level)
Example 2: This man gets a knee injury at the age of 60 (before this he is completely healthy) and needs to amputate his leg. At the age of 80 he dies.
6 YLD, 0 YLL, 6 DALY
Death 1
Complete 0
health
80 years
*DW (amputation) = 0.3
*Healthy years lost= 20
YLD = 0.3 X 20 =6
Calculating DALY (example individual level)
Exempel 3: A man who is completely healthy and dies at the age of 75 years in coronary heart disease.
5 YLL, 0 YLD, 5 DALY
Death 1
Complete 0
health
80 years
*Years of life lost
due to premature
death= 5
YLL =5
Calculating DALY (example individual level)
Example 4: A man suffers from severe depression at the age of 20 years old. At the age of 30 he is cured. At the age of 50 he is involved in an accident and becomes blind on both eyes. At the age of 65 years he dies in a stroke.
21.2 YLD, 15 YLL, 36.2 DALY
Death 1
Complete 0
health
80 years
DW for;
*severe depression =0.83
*blindness = 0.43
Healthy years lost due to;
*severe depression = 10
*blindness = 30
*years of life lost due
To premature death = 15
YLD = 0.83 X 10 + 0.43 X 30=21.2
YLL = 15
DALY a population measure
� DALY is a population measure
� Enables to calculate the total sum of the
combined loss of all premature deaths and loss of
healthy life from disability from specific diseases
world wide
DALY a population measure
� DALY is a population measure
� Enables to calculate the total sum of the
combined loss of all premature deaths and loss of
healthy life from disability from specific diseases
world wide
Nr.
of
P
E
R
S
O
N
S
/1000
Years lost due to
premature death
Years lost due to
disability
Diagnose criteria's
YLL and YLD can be summarized for all disease
categories and subcategories in order to obtain
one DALY measure for; example neuro-
psychiatric conditions, coronary heart disease,
cancers etc.
Ex: Neuro-psychiatric diseaseMen DALY YLL YLD
Neuro-psychiatric disease 154569 33551 121018Unipolar depression 28926 155 28771Bipolar affective disease 6284 0 6284Schizophrenia 8142 101 8041Epilepsia 3916 2245 1670Alcohol addiction 28132 9017 19115Dementia 37255 9763 27492Parkinson 5527 1553 3974Multiple sclerosis 1847 864 1010Narcomania 6797 4756 2041Post traumatic stress syndrom 869 0 869Tvångssyndrom 1836 0 1836And a few more… … …. ….
What are the benefits with a summary
measure of population health that measure
both mortality and disability at the same
time?
How would you share the health-care
resources if you had the following
information?
Year of life lost due to premature death
(YLL) Sweden 2002, women
YLL women
0 20000 40000 60000 80000 100000 120000 140000 160000
Hjärtkärlsjukdomar
Maligna tumörer
Neuro-psykiatriska sjukdomar
Skador
Sjukdomar i luftvägarna
Mag-tarmsjukdomar
Luftvägsinfektioner
Diabetes
Medfödaa missbildningar
Infektioner
Sjukdomar i urin- och könsorgan
Muskuluskeletala sjukdomar
Övriga tumörer
Perinatala tillstånd
Endokrina sjukdomar
Näringsbrist
Hudsjukdomar
Graviditet och förlossning
Tandsjukdomar
Sjukdomar i ögon och öron
YLL
Years of Life lost due to disability (YLD)
Sweden 2002, women
YLD, women
0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000
Hjärtkärlsjukdomar
Maligna tumörer
Neuro-psykiatriska sjukdomar
Skador
Sjukdomar i luftvägarna
Mag-tarmsjukdomar
Luftvägsinfektioner
Diabetes
Medfödaa missbildningar
Infektioner
Sjukdomar i urin- och könsorgan
Muskuluskeletala sjukdomar
Övriga tumörer
Perinatala tillstånd
Endokrina sjukdomar
Näringsbrist
Hudsjukdomar
Graviditet och förlossning
Tandsjukdomar
Sjukdomar i ögon och öron
YLD
Burden of disease (DALY)
Sweden 2002, women
DALY(0,0) Kvinnor
0 50000 100000 150000 200000 250000
Infektioner
Luftvägsinfektioner
Perinala tillstånd
Näringsbrist
Maligna tumörer
Övriga tumörer
Diabetes
Endokrina sjukdomar
Neuro- Psyk.
Ögon och öron
Hjärt- kärl.
Luftvägar
Mag- tarm
Urin- och könsorgan
Hud
Muskoloskeletala
Medfödda missbildningar
Tandsjukdomar
Skador
Graviditet och förlossning
YLL(0,0)
YLD(0,0)
Year of life lost due to premature death
(YLL) Sweden 2002, men
YLL
0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000
Hjärtkärlsjukdomar
Maligna tumörer
Skador
Neuro-psykiatriska sjukdomar
Mag-tarmsjukdomar
Sjukdomar i luftvägarna
Luftvägsinfektioner
Diabetes
Medfödaa missbildningar
Infektioner
Sjukdomar i urin- och könsorgan
Perinatala tillstånd
Endokrina sjukdomar
Övriga tumörer
Muskuluskeletala sjukdomar
Näringsbrist
Hudsjukdomar
Sjukdomar i ögon och öron
Tandsjukdomar
YLL
Years of Life lost due to disability (YLD)
Sweden 2002, men
YLD
0 20000 40000 60000 80000 100000 120000 140000
Hjärtkärlsjukdomar
Maligna tumörer
Skador
Neuro-psykiatriska sjukdomar
Mag-tarmsjukdomar
Sjukdomar i luftvägarna
Luftvägsinfektioner
Diabetes
Medfödaa missbildningar
Infektioner
Sjukdomar i urin- och könsorgan
Perinatala tillstånd
Endokrina sjukdomar
Övriga tumörer
Muskuluskeletala sjukdomar
Näringsbrist
Hudsjukdomar
Sjukdomar i ögon och öron
Tandsjukdomar
YLD
Burden of disease (DALY)
Sweden 2002, men
DALY(0,0) Män
0 50000 100000 150000 200000 250000
InfektionerLuftvägsinfektioner
Perinatala tillstånd
Näringsbrist
Maligna tumörer
Övriga tumörer
Diabetes
Endokrina sjukdomar
Neuro- psyk.
Ögon och öron
Hjärt- kärl.
Luftvägar
Mag- tarm
Urin- och könsorgan
Hud
Muskoloskeletala
Medfödda missbildningar
Tandsjukdomar
Skador
Graviditet och förlossning
YLL(0,0)
YLD(0,0)
Which risk factors contributes to the
burden of disease?
Comparative Risk Assessment
(WHO-project)
� Continuation of the GBD-project
� The challenge: To compare a number of risk
factors and estimate the importance of their
influence on the disease burden.
Why include risk factors?
� Disease data is focused on curative needs
� Risk factors are possible to prevent
� Important for preventive measures
�Basis for prioritization and planning of health political
measures
Selected risk factors
� In total 26, mainly medically defined risk factors
�Probability of being among the leading causes to the
disease burden
�High probability for causality
�Possible to modify
�Access to reasonable complete data
Groups of risk factors
� Childhood and maternal malnutrition
� Diet and physical activity
� Sexual and reproductive health risks
� Addictive substances
� Environmental risks
� Occupational risks
� Other selected risk factors
Risk factors, examples
� Childhood and maternal malnutrition
� Underweight
� Iron deficiency
� Diet and physical activity
� Overweight
� High cholesterol
� Addictive substances
� Tobacco
� Alcohol
Results, low-income countries - high
mortality (WHO 2002)
Men (%DALY)
Underweight 14,9
Unsafe sex 9,4
Unsafe water/san 5,5
Indoor smoke 3,7
Zinc deficiency 3,2
Tobacco 3,4
Alcohol 2,6
Women (%DALY)
Underweight 15,0
Unsafe sex 11,0
Unsafe water/san 5,6
Indoor smoke 3,7
Iron deficiency 3,5
Vit A deficiency 3,5
Zinc deficiency 3,2
Results, high-income countries
(WHO 2002)
Men (%DALY)
Tobacco 17,1
Alcohol 14,0
Blood pressure 11,2
Cholesterol 8,0
Overweight 6,9
Fruit and veg.bles 4,3
Physical activity 3,3
Women (%DALY)
Blood pressure 10,6
Overweight 8,1
Cholesterol 7,0
Tobacco 6,2
Fruit and veg.bles 3,4
Alcohol 3,3
Physical activity 3,2
Attributable fraction
� How much of the disease burden can be avoided
if you take away a certain risk factor
�Need information about the Relative Risk
� This is the same between countries
�Prevalence of exposure
� Differ between countries
Exemple: High BMI in Sweden
� High BMI causes in total:
� 67 257 DALYs for men and
�61 453 DALYs for women
�Corresponding to 7.6% of the total disease burden in
Sweden
� This means that: 7.6% of the total burden of
disease can be avoided if obese persons
decrease their BMI
In the CRA-project, socio-economic factors
are not measured
� The risk factors are mainly medical defined
� We are now working on a project to include
socio-economic risk factors to investigate how
this may influence the burden of disease.
So is DALY a perfect measure?
Critics against DALY
� DALY is an important contributor in discussions
about priorities in public health questions. However:
� The measurement is difficult to understand immediately (not like for
example mortality, prevalence of disease etc).
� It is controversial to value diseases (DW)
� There is a risk that DALY gives a seeming objectivity.
� The measures are based on data assumed to be reliable (but this varies a lot
between countries).
� It is not always easy to find reliable data
Can you answer to the following questions?
� What is burden of disease?
� Why measure burden of disease?
� How is burden of disease measured?
� Why is it important to include risk factors to the
burden of disease?