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Validation and selection of criteria for evaluating apps for managing depression: a Delphi study
Noemí Robles1, Aïna Fuster-Casanovas2,3, Sònia Moretó4
1Data Science Lab, UOC Labs, Universitat Oberta de Catalunya, Barcelona, Spain.
BMJ Open
|November 12, 2025
Summary
This study identified key criteria for evaluating depression management apps. Safety, privacy, and clinical effectiveness are crucial for developing reliable assessment tools.
Area of Science:
- Digital health
- Mental health technology
- App evaluation
Background:
- Increasing use of mental health apps without robust evidence of effectiveness or safety.
- Need for standardized tools to assess these digital interventions.
- EvalDepApps project aims to create a validated assessment tool for depression management apps.
Purpose of the Study:
- Determine essential criteria for evaluating depression management apps.
- Establish consensus on evaluation standards through expert and user input.
Main Methods:
- Modified Delphi study involving 43 participants assessing 51 criteria.
- Two rounds of online rating to achieve consensus on criterion relevance.
- Analysis of participant comments to refine criteria.
Main Results:
- A final list of 28 criteria was established through consensus.
- Key criteria focused on Safety and Privacy (25%) and Clinical Effectiveness (25%).
- Usability and Functionality (17.9%) also emerged as significant evaluation aspects.
Conclusions:
- Prioritizing data safety and clinical effectiveness is essential for app assessment.
- The developed criteria will inform the EvalDepApps assessment tool.
- The tool will aid professionals and users in selecting safe and effective depression apps.
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