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Examining How Adults With Diabetes Use Technologies to Support Diabetes Self-Management: Mixed Methods Study.

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Summary

Adults with diabetes use various technologies like apps and continuous glucose monitors (CGMs) for self-management. However, integrating this data to achieve glycemic goals remains a challenge, highlighting opportunities for improved patient-centered care.

Keywords:
continuous glucose monitorsdiabetesdigital health literacyhealth technologymobile healthself-management

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Area of Science:

  • Digital Health
  • Diabetes Management
  • Health Technology Integration

Background:

  • Adults with diabetes have access to technologies like mobile apps and continuous glucose monitors (CGMs).
  • Current usage patterns and integration of these diverse technologies for comprehensive diabetes self-management are not well understood.
  • Understanding how individuals with varying clinical profiles and digital literacy utilize these tools is crucial.

Purpose of the Study:

  • To investigate how adults with diabetes integrate data from multiple behavior tracking technologies for self-management.
  • To explore the influence of clinical profiles and digital health literacy on technology integration.
  • To identify challenges and opportunities in using technology for diabetes self-care.

Main Methods:

  • A web-based survey assessed health app and activity tracker use across six self-management categories (glucose, diet, exercise, weight, sleep, stress).
  • Digital and general health literacy were measured using validated scales.
  • Semistructured interviews explored the practical application and desired improvements for technology use in daily diabetes management.

Main Results:

  • Most respondents used health apps and activity trackers, often alongside CGMs, demonstrating high digital health literacy.
  • Usage rates of non-CGM apps and activity trackers were similar between CGM users and non-users.
  • While some used glucose tracking apps for dietary personalization, integrating data for broader self-management goals was limited.

Conclusions:

  • Adults with diabetes frequently employ multiple technologies for tracking health behaviors impacting their condition.
  • A significant gap exists in linking tracked data to glycemic control and overall diabetes self-management goals.
  • There is a clear need for better integration of data from various health technologies to support patient-centered diabetes care.