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A Randomized Controlled Trial of Decision Aids for Upper-Extremity Conditions

Iris I M Kleiss, J. Kortlever, D. Ring, Gregg A. Vagner, Lee M. Reichel

Journal of Hand Surgery-American Volume, 2020

147 participants · 16 citations

Abstract

PURPOSE

Decision aids (DAs) are tools designed to correct misconceptions, help people weigh the pros and cons of each option, and choose an option consistent with their values. This randomized controlled trial tested the difference in decision regret between patients who reviewed a DA at the end of the visit and those who did not. Secondary study questions addressed differences in pain self-efficacy, pain intensity, satisfaction, physical function, and treatment choice.

METHODS

We enrolled 147 patients who visited an orthopedic upper-extremity surgeon for a condition that could be treated surgically or nonsurgically. We randomized 76 of these patients to review a DA as part of the visit (52%). At baseline, we measured results using the Pain Self-Efficacy short form, PROMIS Physical Function computer adaptive test, pain intensity on an 11-point ordinal scale, and satisfaction with the visit on an 11-point ordinal scale, as well as whether patients understood all received information and felt adequately educated to decide (no/yes), and choice of surgery, injection, or another treatment. Four to six weeks later, the survey by phone consisted of the PROMIS Physical Function computer adaptive test, pain intensity, satisfaction with the visit, the sense of a well-informed decision, and the Decision Regret Scale. We assessed factors independently associated with each measure.

RESULTS

People who reviewed a DA had significantly less decision regret 4 to 6 weeks after the visit…

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: 147 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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