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Understanding Adherence to Digital Health Technologies: Systematic Review of Predictive Factors.

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Sustaining long-term adherence to digital health technologies (DHTs) is crucial for their effectiveness. This review identified personal, technological, social, and contextual factors influencing adherence, with the Unified Theory of Acceptance and Use of Technology being most common.

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Area of Science:

  • Digital Health
  • Health Informatics
  • Behavioral Science

Background:

  • Digital health technologies (DHTs) offer transformative solutions for healthcare.
  • Long-term adherence to DHTs remains a significant barrier to their effectiveness.

Purpose of the Study:

  • To systematically review and categorize factors influencing adherence to DHTs.
  • To identify theoretical foundations used for predicting DHT adherence.

Main Methods:

  • Systematic review following PRISMA 2020 guidelines.
  • Searches conducted in PubMed, PsycINFO, Scopus, and IEEE Xplore (2019-2024).
  • Narrative synthesis using inductive thematic analysis.

Main Results:

  • 61 studies included, primarily quantitative, focusing on mobile health apps.
  • Adherence factors categorized into personal, technological, social, and contextual domains.
  • Unified Theory of Acceptance and Use of Technology (UTAUT) was the most applied theoretical foundation.

Conclusions:

  • Need for integrative, health-specific models combining behavioral, technological, and clinical aspects.
  • Future research should focus on standardized adherence metrics and predictive model interactions.
  • Evidence base is limited by heterogeneity in study designs and adherence definitions.