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

AMIA Annu Symp Proc. 2023 Apr 29:2022:299-308. eCollection 2022.

Abstract

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.

MeSH terms

  • Chronic Disease
  • Decision Support Systems, Clinical*
  • Disease Management
  • Health Education
  • Humans
  • Surveys and Questionnaires