{
  "id": 17701,
  "url": "https://link.springer.com/article/10.1007/s00146-026-03264-7",
  "title": "Strategies to improve treatment adherence of digital health applications—rapid review and mixed-method analysis",
  "summary": "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",
  "authors": null,
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-08T00:00:00.000Z",
  "fetched_at": "2026-08-09T05:10:05.170Z",
  "source_slug": "x-ai-society",
  "source_name": "AI & Society",
  "source_homepage": "https://link.springer.com/journal/146",
  "ethics_ai_record_url": "https://ethics.ai/record/17701",
  "original_url": "https://link.springer.com/article/10.1007/s00146-026-03264-7",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}