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Effect of a Peer Comparison and Educational Intervention on Medical Test Conversation Quality: A Randomized Clinical Trial

Ganguli I, Mulligan KL, Chant ED, Lipsitz S, Simmons L, Sepucha K, Rudin RS

JAMA network open, 2023

166 participants · 2 citations

Abstract

Importance: Medical test overuse and resulting care cascades represent a costly, intractable problem associated with inadequate patient-clinician communication. One possible solution with potential for broader benefits is priming routine, high-quality medical test conversations.

Objective: To assess if a peer comparison and educational intervention for physicians and patients improved medical test conversations during annual visits.

Design, setting, and participants: Randomized clinical trial and qualitative evaluation at an academic medical center conducted May 2021 to October 2022. Twenty primary care physicians (PCPs) were matched-pair randomized. For each physician, at least 10 patients with scheduled visits were enrolled. Data were analyzed from December 2022 to September 2023.

Interventions: In the intervention group, physicians received previsit emails that compared their low-value testing rates with those of peer PCPs and included point-of-care-accessible guidance on medical testing; patients received previsit educational materials via email and text message. Control group physicians and patients received general previsit preparation tips.

Main outcomes and measures: The primary patient outcome was the Shared Decision-Making Process survey (SDMP) score. Secondary patient outcomes included medical test knowledge and presence of test conversation. Outcomes were compared using linear regression models adjusted for patient age, gender, race and ethnicity, and education.…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 166 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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