Title: The IOM Report Unequal Treatment Translating Research
1The IOM Report Unequal Treatment Translating
Research Recommendations into Policy and
PracticeA Hospital Case Study
- Joseph R. Betancourt, M.D., M.P.H.
- Senior Scientist, Institute for Health Policy
- Director for Multicultural Education,
Massachusetts General Hospital - Assistant Professor of Medicine, Harvard Medical
School
2Outline
- Background National and Local Context
- Process Developing an Approach
- Key Lessons Learned
3Background Efforts Underway Prior to 2002
- MAO Minority Recruitment, Retention, Prof Dev
- Interpreter Services Increasing Volume
- Cultural Competence Education Mandatory in Med
- Race/Ethnicity Data Collection Active
deliberations at systems level QI in place at
hospital level
4Background Timeline of Key Events
- March 2002 IOM Report Unequal Treatment
- July 2002 Dr. Satcher presents in Boston
- December 2002 Boston Mayor Menino convenes
hospital CEOs re role in eliminating disparities
- December 2002 Dr. Satcher presents at MGH
- April 2003 Mayors Hospital Working Group
formed 12 month plan to address disparities - April 2003 MGH appoints Disparities Committee
5MGH Disparities Committee
- Underlying Principle
- While data specific to disparities at MGH
important, not necessary to begin to take action
given IOM Report documented issue nationally - Charge
- Identify and address disparities in health and
health care wherever they may exist at MGH - Coordinate with the Mayors Efforts
- Present Plan to Board in Jan 04 Results Sept
04 - Also to GEC and Presidents Advisory Council
6Translating Research into Policy and Practice
Committee will base work on IOM Report Unequal
Treatment
7IOMs Unequal Treatmentwww.nap.edu
- Recommendations
- Increase awareness of existence of disparities
among key health care stakeholders - Address systems of care
- Support race/ethnicity data collection and QI
- Encourage use of evidence-based guidelines
- Improve workforce diversity
- Facilitate interpretation services
- Efforts underway at MGH
8IOMs Unequal Treatmentwww.nap.edu
- Recommendations
- Provider education (mechanisms of decisionmaking,
cultural competence) - Patient education (health care system navigation,
activation in the medical encounter) - Research (identifying sources, promising
strategies, barriers to eliminating disparities) - Efforts underway at MGH
9MGH Disparities Subcommittees Form
- Based on 4 months of deliberations
- Education and Awareness
- Quality
- Patient Access and Experience
- Budget provided for each groups efforts
10Education and Awareness Subcommittee
- Charge Raise awareness at MGH of disparities
- and contributing factors
- 2004 Goals
- At least two major presentations at grand
rounds/leadership meetings - To Date Byrd and Hill present in May 2004
- Comprehensive communication strategy developed
and underway - To Date MGH Hotline, Fruit St MD, FYI Posters
- Message on disparities incorporated into
orientations - Under development
11Quality Subcommittee
- Charge Stratify outcomes of QI initiatives by
race - and ethnicity, and design
improvement - activities based on findings
- 2004 Goals
- Data on outcomes of asthma and diabetes QI
initiatives stratified by race and ethnicity
plan and develop interventions based on findings - Patient Satisfaction Data inpatient and
outpatient data stratified by race and ethnicity - Embed Disps Questions into Quality Rounds
- Demographic Profile of the Hospital who are our
patients and what services do they use
12Patient Experience of Care and Access to Care
Subcommittee
- Charge Assess the experience of care for MGH
- patients and develop and
implement action - plan based on findings
- 2004 Goals
- Conduct inpatient and outpatient survey
- Create Multi-Cultural Advisory Committee and plan
initial meeting - Develop inventory of existing disparities
research
13Crossing the Quality ChasmInstitute of Medicine,
2001
- Quality can be achieved if health care systems
are - Safe
- Effective
- Patient Centered
- Timely
- Efficient
- Equitable
- Consider Disparities for all strategic planning
14Key Lessons Learned
- Challenges
- Race/Ethnicity Data Collection Categories,
Standardization, Ease, IT - Quality versus research Challenges of current
data systems - Satisfaction Do we have correct tools?
- Expanding buy-in
- Key Ingredients
- Leadership Commitment Mainstreaming Plunge In