Nutri: A Behavioral Science-Based Clinical Decision Support for Chronic Disease Management.

Autor: Burgermaster M; University of Texas at Austin, Austin, TX.; Dell Medical School, Austin, TX., Rosenthal M; University of Texas at Austin, Austin, TX., Tierney WM; Dell Medical School, Austin, TX.; Indiana University School of Public Health, Indianapolis, IN., Altillo BS; Dell Medical School, Austin, TX., Nordquist E; University of Texas at Austin, Austin, TX.; Sentier Strategic Resources, Austin, TX., Enriquez C; Sentier Strategic Resources, Austin, TX., Andrews S; Dell Medical School, Austin, TX.; University of Colorado Anschutz Medical Campus, Aurora, CO., Klatt C; University of Texas at Austin, Austin, TX., Daniels G; Dell Medical School, Austin, TX.
Jazyk: angličtina
Zdroj: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2023 Apr 29; Vol. 2022, pp. 299-308. Date of Electronic Publication: 2023 Apr 29 (Print Publication: 2022).
Abstrakt: Clinical decision support systems (CDSS) for the ongoing decision making required to support health behavior change for chronic disease management should incorporate behavioral science (e.g., a collaborative goal setting workflow) with more common CDSS components (i.e., an evidence-based knowledge base that processes patient data). Given known challenges with CDSS usability and adoption, engaging clinician end-users in designing new CDSS is vital. Therefore, we tested Nutri, a CDSS for collaborative diet goal setting, with 10 clinicians in a simulated primary care appointment with a patient actor. Simulation recordings, usability surveys, and debriefing interviews provided a multi-method view of clinicians' perceptions of Nutri's value and usability. 100% of participating clinicians achieved Nutri's main objective: selecting a high impact diet goal during a collaborative goal setting discussion with the patient; participants found Nutri usable, potentially timesaving, and increased their diet counseling self-efficacy. Insights will improve Nutri's usability and clinical workflow integration.
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Databáze: MEDLINE