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mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review.

Maria Aguiar1,2, Maria Trujillo2, Deisy Chaves2,3

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Summary
This summary is machine-generated.

Mobile health apps use behavior change techniques (BCTs) like feedback and personalization to improve adherence. However, their effectiveness varies, necessitating further research into optimal BCT combinations for better outcomes.

Keywords:
adherenceappbehaviorbehavior change techniquesmHealthmobile healthmobile health interventions

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Area of Science:

  • Digital Health
  • Behavioral Science
  • Health Informatics

Background:

  • Mobile health (mHealth) apps have significantly impacted public health and medical care.
  • These apps enhance lifestyle behaviors and chronic condition management.
  • mHealth adoption has transformed daily life for many individuals.

Purpose of the Study:

  • Identify common behavior change techniques (BCTs) in mHealth interventions.
  • Assess the effectiveness of these BCTs on user adherence to data reporting.
  • Provide recommendations for optimizing mHealth strategies and future research.

Main Methods:

  • Systematic review of mHealth interventions published between 2010 and 2021.
  • Analysis of studies evaluating the effectiveness of BCTs on user adherence.
  • Search terms combined general, computer science, and medicine-related keywords.

Main Results:

  • Feedback and monitoring, goals and planning, associations, and personalization were frequently used BCTs.
  • Effectiveness of these BCTs in mHealth outcomes was mixed.
  • While some BCTs showed more effective than ineffective outcomes, causality could not be inferred.

Conclusions:

  • Personalization, associations, and goals and planning were common in effective mHealth adherence trials.
  • The effectiveness of these BCTs is not guaranteed, with some studies reporting non-significant results.
  • Further research with longer follow-up periods is needed to understand best practices for BCT application in mHealth.