Strategies to improve treatment adherence of digital health applications—rapid review and mixed-method analysis
Digital health applications (DHA) are digital medical devices that are used to support patients in the treatment of diseases. Therapy adherence is crucial for the success of therapy, but digital applications often result in high dropout rates. The work therefore pursues two central research questions: (1) quantification of DHA adherence and (2) identification of causes for dropout and development of improvement strategies. To answer these questions, a systematic literature analysis was carried o
Record details
Published: 8 August 2026
Source: AI & Society
Category: Research
Topics: Healthcare
Retrieved: 9 August 2026
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How to cite this record
ethics.ai (8 August 2026), “Strategies to improve treatment adherence of digital health applications—rapid review and mixed-method analysis,” evidence record 17701, https://ethics.ai/record/17701 (originally published by AI & Society).
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