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Translating Research Into Practice:
Theory, Evidence, Planning
Ralph Gonzales, MD, MSPH
UCSF
April 1, 2008
Course Overview (1)
• Course Goals– Learn how to design & evaluate interventions– Learn some of the evidence base for specific types of
interventions– Develop and refine an intervention protocol
• Deconstruct Interventions-- Who Changes?– Population/Community/Public– Patients– Providers– Systems/Organizations
Sequential Approach to Intervention Design
A B
Diagnosis Treatment
Understanding the Problem
Designing the Solution
Explanatory Models
Intervention/
Behavior Change Models
Health Care Interventions
Understanding Behavior
Intervening on Behavior
Theory Evidence Planning
Course Overview (2)
• Homework– Required Reading before class– Protocol development
• Exercise assigned after each class• Due following Sunday night (earlier is better)
• Grades– Based on homework; participation in seminars; final
protocol and final presentation (equally-weighted)
TICR Professional Conduct StatementClarifications for this class
• I will maintain the highest standards of academic honesty
• I will neither give nor receive aid in examinations or assignments unless such cooperation is expressly permitted by the instructor
• I will conduct research in an unbiased manner, reports results truthfully, and credit ideas developed and work done by others
• I will not use answer keys from prior years• I will write answers in my own words, and, when
collaboration is permitted, acknowledge collaborators when answers are jointly formulated
Course Schedule
• April 1 – May 13: patient, physician and system; and program evaluation lectures (n=7)
• May 20: peer review and feedback of protocols (small groups using class time)
• May 27: analytical designs and power• June 3: final protocol presentations
– 15 minutes x 14 = 7 + 7… two separate groups…– Funding agencies
• CHCF (M Laws); RWJF (?Disparities for Change Agent?); AHRQ ( ); UCSF Medical Center (Adler)
Introductions
• Name
• Division/Department
• Health Outcome you want to (ultimately) improve
Translating Research Into Practice: The Birth of T2
T1 T2
“I think that we have to ask ourselves whether much of the output of biomedical science is getting
lost in translation?” –C.Lenfant, NEJM 2003;349:868-74. Former Director NHLBI.
NIH Roadmap Initiative-translating discoveries into health
NIH Roadmap Initiative-translating discoveries into health
Zerhouni E. Science 2003.
NIH Roadmap Initiative-translating discoveries into health
Westfall JM et al, JAMA 2007
T2 = Quality
Condition (n=25) Recommended Care, %Senile Cataract 79%Breast Cancer 76%Prenatal Care 73%….Dyspepsia/Ulcer Disease 33%Atrial Fibrillation 25%Hip Fracture 23%Alcohol Dependence 11%Overall Average 55%
Quality of Health Care• Donabedian A. JAMA 1988;260:1743-8
Structure Process Outcomes
Community Characteristics
Delivery System Characteristics
Provider Characteristics
Population Characteristics
Health Care Providers-Technical Processes-Interpersonal Processes
Public & Patients-Access-Acceptance-Adherence
Health Status
Functional Status
Satisfaction
Mortality
Cost
Provider Behavior is at the Core…
Health Care Provider
Technical Processes of Care
Interpersonal Processes of Care
Behavior-testing-diagnosis-treatment-procedures-referrals
Outcome(in future)
Knowledgejudgment
skill
empathysensitivity
Patients
System
Institute of Medicine Six Dimensions of Health Care Quality
Health Care That Is…• Safe• Timely• Effective• Efficient• Equitable• Patient-Centered
Institute of Medicine, Committee on Quality Health Care in America. Crossing the quality chasm: a new health system for the 21st century. 2001. Washington DC, National Academy Press.
Priority areas for national action: transforming health care quality. Adams K and Corrigan JM. 2003. Washington DC, National Academy Press.
1st Order Strategies to Improve Health Care Quality
-measurement
Practice Variation = Poor Quality
http://www.dartmouthatlas.org/
Overuse
Underuse
Misuse
1st Order Strategies to Improve Health Care Quality
-accountability
National Committee for Quality Assurancewww.ncqa.org
HEDIS Effectiveness of Care Measures 2003, comm
• Beta-blocker post MI 94%• Cancer screening
– Breast 75%– Cervical 82%– Colorectal 47%
• Chlamydia screening 30%• Cholesterol screening 79%• HbA1c testing 85%• Eye exams in diabetes 49%• Controlling hypertension (<140/90) 62%• LDL < 100 after 60 days of MI 48%
CMS/JCAHOHospital Quality Measures
• Management of AMI– Aspirin on arrival and discharge– Beta-blockers on arrival and discharge– Lysis within 30 min of arrival– PCI within 90 min of arrival– ACE or ARB for LVSD– Management of CHF– ACE-inhibitor at discharge
• Management of CHF– ACE or ARB for LVSD– LVSD evaluation (echo)– Discharge counseling– Tobacco cessation
• Management of Pneumonia• Surgical Care Improvement
– Antibiotics within 1 hour of surgery; appropriate abx; d/c after 24 hours– DVT prophylaxis
Hospital Comparewww.hospitalcompare.hhs.gov
AVERAGE FOR ALL REPORTING HOSPITALS IN THE UNITED STATES
AVERAGE FOR ALL REPORTING HOSPITALS IN THE STATE OF CALIFORNIA - NORTHERN & CENTRAL
KAISER FOUNDATION HOSPITAL
MARIN GENERAL HOSPITAL
NOVATO COMMUNITY HOSPITAL
Top Hospitals represents the top 10% of hospitals nationwide. Top hospitals achieved a 97% rate or better.
75%
69%
37%
82%
85%
Percent of Surgery Patients Who Received Treatment To Prevent Blood Clots Within 24 Hours Before or After Selected Surgeries to Prevent Blood Clots
Link Quality Gap to “Outcome Gap”
What is the Patient’s Role?
T1
You can invest large NIH $$ to develop new drugs… but they are no good if patients don’t have access [structure], physicians prescribe [process], and patients accept and
comply with treatment [process]
T2
Cross-Sectional Model of Health Care Behavior
-adapted from Kleinman et al, and Donabedian
Clinician Factors -knowledge -attitudes -behavior -heuristics -specialty
Patient Factors -knowledge -attitudes -behaviors -SES -health literacy
System Factors -local culture -access to care -regulatory policies -organizational culture
Likelihood of Physician Behavior (Process)
Translating to Whom?
Green L et al. NEJM 2001;344:2021-25
Getting Started-Just Do It?
Impact of CMS/JCAHO on Quality Improvement Activities
• Why was CMS/JCAHO measures so much more effective at stimulating QI action than NCQA/HEDIS?– CMS linked to reimbursement/accreditation– vs. HEDIS was voluntary
• little/no evidence that employers paid much attention to HEDIS in determining health plans
– Hospital vs. health plan control over providers and QI investment
• Stimulated lots of measurement and investment, but no methods/roadmap
Book Ends
“Just as in the rest of medicine, we must pursue the solutions to quality and safety problems in a way that does not blind us to harms, squander scarce resources, or delude us about the effectiveness of our efforts.” –Auerbach A et al, NEJM 2007;357:608-13
“The effectiveness of these systems is sensitive to an array of influences: leadership, changing environments, details of implementation, organizational history, and much more. In such complex terrain, the RCT is an impoverished way to learn. Critics who use it as a truth standard in this context are incorrect.” –Berwick D. JAMA 2008;299:1182-84
2nd Order Strategies to Improve Health Care Quality
Continuous Quality Improvementand PDSA Cycles
Don Berwick; Institute for Healthcare Improvement
A Roadmap for Designing Theory-Based Interventions
• Needs Assessment
• Understanding the Problem within a Theoretical Framework
• Designing Multifaceted Intervention within a Theoretical Framework
• Process and Outcome Evaluation of Intervention’s Impact
• Refine and Repeat
PRECEDE-PROCEDE
Donabedian = QualityRogers = Adoption/Uptake
Which innovations in health care get spread and adopted into practice?
1. Better than status quo.2. Compatible with current values and needs of potential
adopters.3. Gain exposure to potential adopters, ideally from a
trusted and respected source.4. Time for “S-curve” to materialize.
i.e., early adopters early-late majority laggards5. Consistent social norms and opinion leaders.
Rogers EM. Diffusion of Innovations, 4th ed. New York (The Free Press), 1995.Bodenheimer T. The Science of Spread. California Health Care Foundation. 2008.
Needs Assessment
Generic Approach to Needs Assessment
• What behavior to measure/assess?– Is it important? Strong evidence for association with
outcomes?– Use judgment and experts… FINER
• Frequency?– Are there trends over time?
• Distribution?– Does it vary by patient, physician or system factors?– Use theory or conceptual framework…
• Quality? – Case-mix and risk adjustment?– Do you conclude underuse, overuse or misuse?
IOM Priority Areashttp://www.iom.edu/?id=19752
Asthma
Care coordination
Children with special health care needs
Diabetes
End of life
Cancer screening
Frailty associated with old age
Hypertension
Immunization
Ischemic heart disease
Major depression
Medication management
Nosocomial infections
Obesity (emerging area)
Pain control in advanced cancer
Pregnancy and childbirth
Self-management/health literacy (cross-cutting area)
Severe/persistent mental illness
Stroke
Tobacco-dependence treatment in adults
Ralph’s Research Questions
c. 1995
“We need to decrease overuse of antibiotics for acute respiratory infections”
c. 1997
“How often are antibiotics prescribed for adults with uncomplicated acute bronchitis?”
Penicillin-Resistant S. pneumoniae, 1979-2000 (US)
05
1015202530
1979 1982 1985 1988 1991 1994 1997 2000
% N
onsu
scep
tible
Intermediate Resistance High level resistance
1979-1994: CDC Sentinel Surveillance Network1995-2000: CDC Active Bacterial Core Surveillance (ABCS) System Emerging Infections Program
European Surveillance of Antimicrobial Utilization-Goosens et al. Lancet 2005;365:579-87.
Correlation Between Antibiotic Utilization and Antibiotic Resistance in Community Bacteria
Acute Respiratory Illnesses Account for 75% of Total Ambulatory Antibiotics
cold/URI16%Sinusitis
12%
Other24%
Otitis Media21%
Pharyngitis12%
Bronchitis15%
McCaig, 1995
Measuring the Quality Gap
Condition Visits Rx Rate Bact. Prev Abx Excess
Otitis Media 13 x 106 76% 65% 1.1 million
Sinusitis 11 x 106 70% 40% 3.5 million
Pharyngitis14 x 106 62% 25% 5.2 million
Bronchitis 13 x 106 59% 10% 6.5 million
URI/cold 25 x 106 30% 5% 6.2 million
TOTAL 76 x 106 54% 25% 22.5 million
Gonzales R, et al. JAMA, 1997;278:901-904
Gonzales R, et al. Clinical Infectious Diseases, 2001, 33:757-62
www.epibiostat.ucsf.edu/courses/RoadmapK12/PublicDataSetResources/
National Data Sources-Public and Readily Available
Data Sources–Patient BRFSS; NHIS; NHANES; MEPS
–Provider NAMCS; NHAMCS
–Delivery system NCQA; Hospital Compare
–Community Dartmouth Atlas
Administrative Claims DataAdministrative data collected as a result of “claims”
submitted by physicians/practices for reimbursement.
• Medicare– No pharmacy data
• Medicaid– Enrollment rollercoaster
• Integrated Delivery Systems– Generalizability
• Hospital Networks (Premier)• Managed Care Organizations
Computerized health records are becoming a new resource for quality and outcome measurement… but can you think of some of the limitations??
UCSF Resources for Assessing Quality
SFGHTHREADS;
Community Health Center Network
-A. Bindman
VAMCEHR-Vista-M. Chren
UCSF Moffitt-Long Hospitals
UB-92 databaseUCARE?
-A. Auerbach
SFGHTHREADS;
Community Health Center Network
Kaiser PermanenteAdministrative
Database; EHR -J. Selby
Summary
• The need for theory- and evidence-based strategies to improve translation of new treatments/tests into improved health outcomes is needed.
• Improving health outcomes depend on changing patient, provider, system and community behaviors.
Summary
• Theory-based intervention design starts with a comprehensive needs assessment– Current behavior patterns, quality gaps, and
association b/n quality gap and outcome gap
• Become familiar with secondary data sources for your particular area
“We should avoid claiming
for our capacity to assess quality
either too little or too much…
Steer the middle course”
-Donabedian, 1983
HOMEWORK: To be turned-in by Sunday night (earlier is better!)
1. Identifying the target behavior that your intervention seeks to improve:--Who is being assessed and intervened upon?--What is the optimal performance pattern for this behavior?--How strong is the evidence linking this behavior to improved health?--Identify some of the factors that influence this behavior using the patient-clinician-system matrix.
2. Identify an existing source of data that one can use to estimate the current performance level of your target behavior, and conduct a PubMed search to provide citations of previous work on quality or performance measurement of this behavior.
Performance Measures
Clinician & System• Treatment• Testing• Referrals• Counseling• Communication
Patient• Adherence• Testing• Self Care• Service
Utilization• Lifestyle
Behaviors