designing for accord with patients henry c. chueh, md, ms massachusetts general hospital
DESCRIPTION
Designing for ACCORD with Patients Henry C. Chueh, MD, MS Massachusetts General Hospital Boston, MA. MGH Primary Care Network. MGH PCP Network – Adult and FPs Only. Revere 2 sites. Everett. Waltham. At MGH IMA WHA BMG MWI. Charlestown. Chelsea 2 sites. Near MGH - PowerPoint PPT PresentationTRANSCRIPT
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AHRQ 2008
Promoting Quality …
Partnering for Change
Bethesda, MDSep 8, 2008
Designing for ACCORDwith Patients
Henry C. Chueh, MD, MSMassachusetts General Hospital
Boston, MA
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MGH Laboratory of Computer Science Innovative Designs for Informatics
MGH PCP Network – Adult and FPs Only
MDs = 178 • FTEs = 101 • Practices = 15 • Patients = 155,590
At MGHIMA
WHABMGMWI
Near MGHMGH Downtown MGH Beacon Hill
MGMGSenior Health
MGH Back Bay NECHC
Charlestown
Everett
Chelsea2 sites
Waltham
MGH Primary Care Network
Revere2 sites
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Quality Chasm
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MGH Laboratory of Computer Science Innovative Designs for Informatics
24 hours in the life of a PCP
“The Impending Collapse of Primary Care Medicine and Its Implications for the State of the Nation’s Health Care,” a report from the American College of Physicians, 2006Yarnall KS, et al. Primary care: is there enough time for prevention? Am J Public Health 2003; 93:635 Ostbye T, et al. Is there time for management of patients with chronic diseases in primary care? Ann Fam Med 2005; 3:209
Preventive care (7.4 hrs)
Chronic care (10.6 hrs)
Leftover (6 hrs)
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MGH Laboratory of Computer Science Innovative Designs for Informatics
“Computerized clinical information systems will help physicians close this quality gap by
performing many of the repetitive, protocol-driven tasks.”
-- Clement McDonald, 1976
The Promise of Information Technology
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MGH Laboratory of Computer Science Innovative Designs for Informatics
MGH Quality Measures By Linkage Status
0%
25%
50%
75%
100%
Mammography(n=35,865)
Pap Test(n=65,860)
CRC Screening(n=37,605)
Percentage
PCP Linked Practice Linked
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Our Challenge
How do we design, build and implement the health information technology (HIT) tools to support and encourage busy practitioners and
patients to “do the right thing?”
…and that they’ll use.
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Preliminary work
• Patient-provider linkage is important• Inter-visit workflow acceptable• Providers will use well-designed tools• Diversity of care processes can impact
outcomes
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Focus on Follow-up
• Consumes time inappropriately• Failure can result in poor outcomes1
• Fastest growing area of claims2 • Patients have interest3
1 Earnest 20042 Shaefer 2000, Boohaker et al 1996, Murff HJ et al 20033 IOM 2001, WSJ Poll 2006
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MGH Laboratory of Computer Science Innovative Designs for Informatics
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MGH Laboratory of Computer Science Innovative Designs for Informatics
A Fragile Loop
Awareness of Issue
Risk assessment
Plan for care
Follow-up
Complete care
?
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MGH Laboratory of Computer Science Innovative Designs for Informatics
What about Clinical Decision Support Systems?
• Tend to be physician-oriented and visit-based
• Minimal effect for interventions that cannot be completed at the point of care
• Patient-centered approaches rare• Often lack the ability to “close the loop”
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Redesign for Systems to Support Clinical Decisions
Zapka et al 2003, 2004
“Ecologic Framework”
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Doctor and Patient Clarity
• Adjusted for age and insurance status• 2 factors associated with appropriate
follow-up care:– MD documentation of follow-up plan– Patient understanding of need for follow-up
Poon, Haas, Puopolo 2004
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MGH Laboratory of Computer Science Innovative Designs for Informatics
ACCORD
Ambulatory Care Compact to Organize Risk and Decision Making
AHRQ Ambulatory Safety and QualityProgram: Health IT
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MGH Laboratory of Computer Science Innovative Designs for Informatics
“Make Clear Decisions Together”
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Figure 8
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Characteristics
• Patient-provider centered, informed decisions
• Preference and choice• Self-documenting• Explicit agreements with high visibility• Fail-safe monitoring
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Focus Groups
• Patients• Providers• Patients with Providers• Assess concept and initial design
directions• Identify incentives and barriers
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Focus Group Lessons
• Doctors worried about workflow intrusion• Patients worried about doctors• Patients concerned about potential
barriers to access to their doctor• Should enhance/increase face time with
patients• Flexibility needed for ACCORD creation
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Specific Aims
• Design models for Partnership• Develop systems for Tracking• Evaluate impact on Patient experience,
quality
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Create
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Elements of an ACCORD
• Option• Action• Observation• Time
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MGH Laboratory of Computer Science Innovative Designs for Informatics
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MGH Laboratory of Computer Science Innovative Designs for Informatics
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MGH Laboratory of Computer Science Innovative Designs for Informatics
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MGH Laboratory of Computer Science Innovative Designs for Informatics
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Propose
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MGH Laboratory of Computer Science Innovative Designs for Informatics
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MGH Laboratory of Computer Science Innovative Designs for Informatics
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Review
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MGH Laboratory of Computer Science Innovative Designs for Informatics
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MGH Laboratory of Computer Science Innovative Designs for Informatics
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Study Design
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MGH Laboratory of Computer Science Innovative Designs for Informatics
Systems to Supportthe
Clinical Decision.
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MGH Laboratory of Computer Science Innovative Designs for Informatics
ACCORD Team
• Steven Atlas, MD, MPH• Jeanhee Chung, MD, MS• Richard Grant, MD, MPH• Susan Edgman-Levitan, PA• Robin Weinick, PhD• Yu Chiao Chang, PhD
• Greg Estey• David Berkowicz, MD• Michael Yebba• Mark Wylie• Jeff Ashburner• Alicia Wong