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Engagement With Conversational Agent-Enabled Interventions in Cardiometabolic Disease Management: Protocol for a

Nick Kashyap1,2, Ann Tresa Sebastian2,3, Chris Lynch1,2,4,5

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|August 7, 2024
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Summary

This systematic review explores how design features of conversational agent-enabled digital health tools impact user engagement for people managing cardiometabolic diseases (CMDs). Findings will guide the development of more effective CMD management interventions.

Keywords:
Australiaacceptabilityadultcardiometabolic diseasecardiovascular diseasechatbotchronic diseaseconversational agent–enableddesigndiabetesdigital healthdigital health interventionhealth informaticsheart failuremanagementmeta-analysisnatural language processingsystematic reviewtechnology acceptance model

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Area of Science:

  • Digital Health
  • Human-Computer Interaction
  • Cardiology
  • Endocrinology

Background:

  • Cardiometabolic diseases (CMDs) present a growing public health challenge, increasing the need for innovative management strategies.
  • Digital health interventions show promise for CMD management, but user engagement is critical for their effectiveness.
  • Conversational agents offer a novel approach to enhance engagement in digital health tools due to their human-like interaction capabilities.

Purpose of the Study:

  • To systematically review and synthesize evidence on the design features of conversational agent-enabled interventions.
  • To examine the impact of these design features on user engagement among individuals managing CMDs.
  • To provide guidance for developing more engaging and effective digital health tools for CMD management.

Main Methods:

  • Systematic review conducted following Cochrane Handbook and PRISMA guidelines.
  • Searches performed across major databases (Ovid Medline, Web of Science, Scopus).
  • Inclusion of primary research studies on conversational agent-enabled interventions for adults with CMDs, measuring engagement.

Main Results:

  • The review was initiated in May 2023 and registered with PROSPERO (CRD42023431579).
  • Screening and data extraction were completed between July 2023 and August 2023.
  • Final searches and manuscript submission occurred in April and July 2024, respectively.

Conclusions:

  • This review synthesizes observations on conversational agent design features and their effect on CMD patient engagement.
  • Findings will inform the development of interventions that promote regular use and improve health outcomes.
  • The study also identifies gaps in reporting engagement, guiding future research in this area.