Why Not? Persuading Clinicians to Reduce Overuse

Objective: To explore how best to deimplement nonrecommended medical services, which can result in excess costs and patient harm. Methods: We conducted telephone interviews with 15 providers at 3 health systems from June 19 to November 21, 2017. Using the case of nonrecommended imaging in patients w...

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Bibliographic Details
Main Authors: Susan C. Chimonas, PhD, Katherine L. Diaz-MacInnis, MA, Allison N. Lipitz-Snyderman, PhD, Brooke E. Barrow, BA, Deborah R. Korenstein, MD
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:Mayo Clinic Proceedings: Innovations, Quality & Outcomes
Online Access:http://www.sciencedirect.com/science/article/pii/S2542454820300357
Description
Summary:Objective: To explore how best to deimplement nonrecommended medical services, which can result in excess costs and patient harm. Methods: We conducted telephone interviews with 15 providers at 3 health systems from June 19 to November 21, 2017. Using the case of nonrecommended imaging in patients with cancer, participants assessed the potential for 7 rationales or “arguments,” each characterizing overuse in terms of a single problem type (cost or quality) and affected stakeholder group (clinicians, institutions, society, or patients), to convince colleagues to change their practices. We tested rationales for all problem-stakeholder combinations appearing in prior deimplementation studies. Results: Participants’ views varied widely. Relatively few found cost arguments powerful, except for patients’ out-of-pocket costs. Participants were divided on institution-quality and clinician-quality rationales. Patient-quality rationales resonated strongly with nearly all participants. However, a “yes, but” phenomenon emerged: after initially expressing strong support for a rationale, participants often undercut it with denials or rationalizations. Conclusion: Deimplementation efforts should combine multiple rationales appealing to clinicians’ diverse perspectives and priorities. In addition, efforts must consider the complex cognitive dynamics that can undercut data and reasoned argumentation.
ISSN:2542-4548