PICO-based assessment and categorization of evidence for digital health interventions: an inductive framework development
The PACE4DHI framework provides a systematic and pragmatic methodology, with potential to enhance structured access to existing evidence. The framework may also inform the research questions and the search and screening strategies of future systematic reviews. The application in EGM has potential to optimize evidence-based decision-making, while also enabling precise identification of research gaps. Its use with artificial intelligence tools may facilitate efficient ongoing evidence screening and synthesis, ultimately supporting a searchable evidence database.
Authors
- Moritz Esdar (ORCID: https://orcid.org/0000-0003-4371-3484)
- Johannes Thye (ORCID: https://orcid.org/0000-0001-7022-2870)
- Ursula Hertha Hübner
- Uwe Buddrus
- Jan-David Liebe
- Jan-Oliver Kutza
Institutions
- UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik (AT)
- Hochschule Osnabrück (DE)
- Deutsches Krankenhaus Institut (DE)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2026-02-18
- DOI
- https://doi.org/10.3389/fdgth.2026.1755598
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00