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Eliciting Requirements for a Diabetes Self-Management Application for Underserved Populations: A Multi-Stakeholder Analysis

Author

Listed:
  • Samuel Bonet Olivencia

    (Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA)

  • Arjun H. Rao

    (Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA)

  • Alec Smith

    (Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA)

  • Farzan Sasangohar

    (Department of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA
    Center for Outcomes Research, Houston Methodist, Houston, TX 77030, USA)

Abstract

Medically underserved communities have limited access to effective disease management resources in the U.S. Mobile health applications (mHealth apps) offer patients a cost-effective way to monitor and self-manage their condition and to communicate with providers; however, current diabetes self-management apps have rarely included end-users from underserved communities in the design process. This research documents key stakeholder-driven design requirements for a diabetes self-management app for medically underserved patients. Semi-structured survey interviews were carried out on 97 patients with diabetes and 11 healthcare providers from medically underserved counties in South Texas, to elicit perspectives and preferences regarding a diabetes self-management app, and their beliefs regarding such an app’s usage and utility. Patients emphasized the need for accessible educational content and for quick access to guidance on regulating blood sugar, diet, and exercise and physical activity using multimedia rather than textual forms. Healthcare providers indicated that glucose monitoring, educational content, and the graphical visualization of diabetes data were among the top-rated app features. These findings suggest that specific design requirements for the underserved can improve the adoption, usability, and sustainability of such interventions. Designers should consider health literacy and numeracy, linguistic barriers, data visualization, data entry complexity, and information exchange capabilities.

Suggested Citation

  • Samuel Bonet Olivencia & Arjun H. Rao & Alec Smith & Farzan Sasangohar, 2021. "Eliciting Requirements for a Diabetes Self-Management Application for Underserved Populations: A Multi-Stakeholder Analysis," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
  • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:127-:d:709425
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