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

Marissa Burgermaster1,2, Madalyn Rosenthal1, William M Tierney2,3

  • 1University of Texas at Austin, Austin, TX.

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Summary

This study shows that the Nutri clinical decision support system (CDSS) helps clinicians set diet goals with patients. Clinicians found Nutri usable and effective for chronic disease management.

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Area of Science:

  • Health Informatics
  • Behavioral Science
  • Chronic Disease Management

Background:

  • Clinical decision support systems (CDSS) often lack behavioral science integration, hindering chronic disease management.
  • Engaging clinicians in CDSS design is crucial for usability and adoption.
  • Existing CDSS face challenges in supporting health behavior change effectively.

Purpose of the Study:

  • To evaluate the usability and clinical utility of Nutri, a novel CDSS designed for collaborative diet goal setting.
  • To assess the impact of Nutri on clinicians' self-efficacy in diet counseling.
  • To integrate behavioral science principles into CDSS for chronic disease management.

Main Methods:

  • A simulated primary care setting was used with 10 clinicians interacting with a patient actor.
  • Nutri, a CDSS incorporating collaborative goal setting, was tested.
  • Multi-method data collection included simulation recordings, usability surveys, and interviews.

Main Results:

  • 100% of clinicians successfully selected a high-impact diet goal with the patient actor.
  • Clinicians perceived Nutri as usable and potentially timesaving.
  • Participation increased clinicians' self-efficacy in providing diet counseling.

Conclusions:

  • Nutri demonstrates potential as a usable and effective CDSS for supporting collaborative diet goal setting in chronic disease management.
  • Integrating behavioral science, like collaborative goal setting, enhances CDSS value.
  • Further refinement of Nutri will focus on usability and clinical workflow integration.