TEACH: LEVEL II – CLINICAL POLICIES AND GUIDELINES STREAM TEACH Plenary NYAM August 8 th, 2012...
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Transcript of TEACH: LEVEL II – CLINICAL POLICIES AND GUIDELINES STREAM TEACH Plenary NYAM August 8 th, 2012...
TEACH: LEVEL II – CLINICAL POLICIES AND GUIDELINES STREAM
TEACH Plenary
NYAM
August 8th, 2012
Craig A Umscheid, MD, MSCE, FACP
Assistant Professor of Medicine and Epidemiology
Director, Center for Evidence-based Practice
Medical Director, Clinical Decision Support
University of Pennsylvania
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Goal
To gain knowledge, attitudes and skills required to develop and adapt clinical policies and guidelines for implementation in specific health care settings.
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Faculty
Karen Schoelles, MD, MS• Director, AHRQ EPC, ECRI Institute, Plymouth Meeting, PA
Jonathan Treadwell, PhD• Associate Director, AHRQ EPC, ECRI Institute, Plymouth Meeting, PA
Louise Falzon, MSLS• Cochrane and Columbia University, NY, NY.
Ian Graham, PhD• Vice-President, Knowledge Translation and Public Outreach Portfolio,
Canadian Institutes of Health Research.
Richard Rosenfeld, MD, MPH• Professor and Chairman, Otolaryngology, SUNY Downstate, Editor-in-
Chief, Otolaryngology – Head and Neck Surgery, President, American Society of Pediatric Otolaryngology
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An Illustrative Case: Surgical Site Infections
You’re the Chair of the Department of Surgery Quality Committee at your medical center, and you receive a call from your Chief Medical Officer regarding a report that your state just released about SSI rates at medical centers across the state. It’s not good news. Your medical center had the highest rate of SSIs in the state.
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Using evidence to define the problem
Does it warrant attention? Is it a misperception?
Local evidence• Anecdote vs. data• Compare over time, across units, across institutions• Structure, process, outcome
Peer-reviewed evidence• National estimates• Compare local practices to national recommendations• Potential causes and solutions identified in published studies
Mitchell MD, et al. Integrating local data into hospital-based healthcare technology assessment: two case studies. Int J Technol Assess Health Care. 2010;26(3):294-300.
Lavis JN, et al. Using research evidence to clarify a problem. Health Research Policy and Systems. 2009, 7(Suppl 1):S4 doi:10.1186/1478-4505-7-S1-S4.
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Building a team to define and address the problem
Key stakeholders
Multidisciplinary
Champions
Executive leadership (credibility, resources, influence)
Conflicts of interest
Consumer Participation In Evaluation (PIE) Matrix
Harris C, Turner T and Wilkinson F. Guideline Development Toolkit. (2008) The Centre for Clinical Effectiveness, Southern Health, Melbourne, Australia.
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Framing options to address the problem
Frame or “fit” problem within priorities of leadership to motivate support and solutions
Lavis JN. Using research evidence to clarify a problem. Health Research Policy and Systems. 2009, 7(Suppl 1):S4 doi:10.1186/1478-4505-7-S1-S4
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Pyramid: 3 dimensional “3-S” model linking study designs to electronic resources
Silva SA, Wyer PC. The Roadmap: a blueprint for evidence literacy within a Scientifically Informed Medical Practice and Learning (SIMPLE) model. The International Journal of Person Centered Medicine. 2012. (In press)
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IOM
IOM domains
1. Establishing transparency
2. Management of conflict of interest
3. Guideline development group composition
4. Clinical practice guideline - systematic review intersection
5. Establishing evidence foundations for and rating strength of recommendations
6. Articulation of recommendations
7. External review
8. Updating
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AGREE II Instrument
Tool to assess the quality of clinical practice guidelines.
Composed of 23 items in 6 domains:• Scope and purpose (3 items)• Stakeholder involvement (3 items)• Rigor of development (8 items)• Clarity of presentation (3 items)• Applicability (4 items)• Editorial independence (2 items)
Two Overall Assessments:• Rating of the overall quality of the guideline• Whether the user recommends the guideline for use in practice
AGREE II: Advancing guideline development, reporting and evaluation in health care. Brouwers et al., Journal of Clinical Epidemiology 63 (2010) 1308e1311