A Review of Persuasive Principles in Mobile Apps for Chronic Arthritis Patients: Opportunities for Improvement

Jonas Geuens1, Thijs Willem Swinnen, Rene Westhovens

  • 1e-Media Lab, KU Leuven, Leuven, Belgium. jonas.geuens@kuleuven.be.

JMIR Mhealth and Uhealth
|October 16, 2016
PubMed

Insights

Health apps for chronic arthritis (CA) patients often lack social and dialogue support features. Enhancing these, along with system credibility and task support, can improve patient adherence and disease management.

Area of Science:

  • Digital health interventions for chronic disease management.
  • Application of persuasive technology in healthcare.

Background:

  • Chronic arthritis (CA) affects a significant population, necessitating long-term patient adherence to medication and exercise programs.
  • Low adherence rates highlight the need for supportive tools, leading to the development of health apps for CA self-management.
  • Persuasive principles in health apps aim to motivate users towards target behaviors, but their application in CA apps is not well understood.

Purpose of the Study:

  • To systematically evaluate the presence and types of persuasive principles integrated into existing health applications designed for chronic arthritis patients.

Main Methods:

  • A comprehensive review of 28 arthritis-focused mobile applications was conducted across major app stores (Google Play, Apple App Store, Windows Phone Store).
  • Apps were analyzed and coded based on 37 persuasive principles derived from established taxonomies (Persuasive System Design and Behavior Change Techniques).
  • Additional data collected included user ratings, download counts, and app pricing.

Main Results:

  • The analyzed apps incorporated an average of 5.8 out of 37 persuasive principles.
  • System Credibility (2.6 principles) and Task Support (2.3 principles) were the most frequently utilized categories.
  • Dialogue Support (0.5 principles) and Social Support (0.01 principles) were significantly underrepresented.

Conclusions:

  • Current health apps for chronic arthritis patients could be improved by incorporating more social support features (e.g., forums, social media integration) and dialogue support techniques (e.g., rewards, praise).
  • Enhanced task support through automated health parameter tracking (e.g., physical activity) can further ease disease management for patients.
  • A stronger evidence-based approach in app development and content verification is recommended to bolster system credibility and ensure scientific validity.
Abstract

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