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Medical Decision Making
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Are Patient Decision Aids the Best Way to Improve Clinical Decision Making? Report of the IPDAS Symposium

Margaret Holmes-Rovner, PhD

College of Human Medicine, Michigan State University, East Lansing, mholmes{at}msu.edu

Wendy L. Nelson, PhD

Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland

Michael Pignone, MD, MPH

University of North Carolina, Chapel Hill

Glyn Elwyn, PhD, FRCGP

Department of Primary Care and Public Health, Cardiff University, UK

David R. Rovner, MD

College of Human Medicine, Michigan State University, East Lansing

Annette M. O'Connor, RN, PhD

Ottawa Health Research Institute and University of Ottawa, Ontario, Canada

Angela Coulter, PhD

Picker Institute Europe, Oxford, UK

Rosaly Correa-de-Araujo, MD, MSc, PhD

Office of Global Health Affairs, Department of Health and Human Services, Rockville, Maryland

This article reports on the International Patient Decision Aid Standards Symposium held in 2006 at the annual meeting of the Society for Medical Decision Making in Cambridge, Massachusetts. The symposium featured a debate regarding the proposition that ``decision aids are the best way to improve clinical decision making.'' The formal debate addressed the theoretical problem of the appropriate gold standard for an improved decision, efficacy of decision aids, and prospects for implementation. Audience comments and questions focused on both theory and practice: the often unacknowledged roots of decision aids in expected utility theory and the practical problems of limited patient decision aid implementation in health care. The participants' vote on the proposition was approximately half for and half against.

Key Words: Key words: patient decision aids • decision support • decision analysis • evidence-based medicine • values clarification. (Med Decis Making 2007;27:599—608)

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This version was published on October 1, 2007

Medical Decision Making, Vol. 27, No. 5, 599-608 (2007)
DOI: 10.1177/0272989X07307272
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This Article
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