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Developing a standardized framework for evaluating health apps using natural language processing.

Julian Herpertz1,2,3, Bridget Dwyer2, Jacob Taylor4

  • 1Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.

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|April 6, 2025
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Summary
This summary is machine-generated.

Over 130 health app evaluation frameworks exist, lacking standardization. This study proposes a unified framework, clustering key evaluation domains like effectiveness, safety, and ethics for better app assessment.

Keywords:
App evaluation frameworkInformation managementMobile health appsNatural Language processingTelemedicine

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Area of Science:

  • Digital Health
  • Health Informatics
  • Software Engineering

Background:

  • Smartphone health applications face limited regulation, posing risks to privacy, security, and effectiveness.
  • Over 130 diverse evaluation frameworks exist, hindering consistent app assessment and comparison.

Purpose of the Study:

  • To synthesize existing knowledge on health app evaluation frameworks.
  • To propose a standardized, comprehensive framework for evaluating smartphone health applications.

Main Methods:

  • Conducted a systematic review of eight articles on health app evaluation frameworks.
  • Utilized natural language processing (NLP) to analyze and cluster evaluation domains based on semantic similarity.
  • Developed standardized definitions for identified clusters.

Main Results:

  • Identified five key clusters: Effectiveness & Development, Technology & Functionality, Validity & Legal, Safety & Privacy, and Implementation & Ethics.
  • These clusters expand upon existing models, incorporating inclusivity, safety, engagement, and ethical principles.
  • Temporal analysis indicated a growing emphasis on Effectiveness & Development, with stagnant attention to Safety & Privacy.

Conclusions:

  • A standardized framework is crucial for navigating the complex landscape of health app evaluation.
  • The proposed five-cluster model offers a more comprehensive approach, addressing critical aspects beyond existing guidelines.
  • Future research should consider the evolving focus on app development and persistent gaps in privacy and safety evaluations.