M
Michael J. Barry
Researcher at Harvard University
Publications - 5
Citations - 6618
Michael J. Barry is an academic researcher from Harvard University. The author has contributed to research in topics: Patient participation & Decision aids. The author has an hindex of 5, co-authored 5 publications receiving 6113 citations.
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Journal ArticleDOI
Decision aids for people facing health treatment or screening decisions
Dawn Stacey,Dawn Stacey,Krystina B. Lewis,Michael J. Barry,Carol Bennett,Karen Eden,Margaret Holmes-Rovner,Hilary A. Llewellyn-Thomas,Anne Lyddiatt,Richard Thomson,Lyndal Trevena +10 more
TL;DR: Decision aids reduced the proportion of undecided participants and appeared to have a positive effect on patient-clinician communication, and those exposed to a decision aid were either equally or more satisfied with their decision, the decision-making process, and the preparation for decision making compared to usual care.
Journal ArticleDOI
Decision aids for patients facing health treatment or screening decisions: systematic review
Annette M. O'Connor,Alaa Rostom,Valerie Fiset,Jacqueline Tetroe,Vikki Entwistle,Hilary A. Llewellyn-Thomas,Margaret Holmes-Rovner,Michael J. Barry,Jean Jones +8 more
TL;DR: In this paper, a systematic review of randomised trials of patient decision aids in improving decision making and outcomes was conducted, which included randomized trials of interventions providing structured, detailed, and specific information on treatment or screening options and outcomes to aid decision making.
Journal ArticleDOI
Patient reactions to a program designed to facilitate patient participation in treatment decisions for benign prostatic hyperplasia
TL;DR: It is suggested that patients can be helped to participate in treatment decisions, and support a randomized trial of the Shared Decisionmaking Program.
Journal ArticleDOI
Health Decision Aids To Facilitate Shared Decision Making in Office Practice
TL;DR: The evidence on the impact of health decision aids is discussed, including how one would expect such programs to affect patients and the process and outcomes of medical decision making, and how to measure a good decision.