Identification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies
US National Science Foundation, US National Institutes of Health, Microsoft AI for Health, Duke Clinical and Translational Science Institute, North Carolina Biotechnology Center, Duke MEDx, Duke Bass Connections, Duke Margolis Center for Health Policy, and Duke Office of Information Technology.
Authors
- Luca Foschini (ORCID: https://orcid.org/0000-0003-1409-3570)
- Jessilyn Dunn (ORCID: https://orcid.org/0000-0002-3241-8183)
- Md Mobashir Hasan Shandhi (ORCID: https://orcid.org/0000-0001-9541-529X)
- Eric J. Daza (ORCID: https://orcid.org/0000-0002-8376-1600)
- Iredia M. Olaye (ORCID: https://orcid.org/0000-0002-3888-0854)
- Peter Cho (ORCID: https://orcid.org/0000-0001-8435-652X)
Institutions
- Sage Bionetworks (US)
- Duke University (US)
- Evidation Health (United States) (US)
- DM-STAT (United States) (US)
Publication Details
- Journal
- The Lancet Digital Health
- Published
- 2024-12-24
- DOI
- https://doi.org/10.1016/s2589-7500(24)00219-x
- Citations
- 18
- Primary Topic
- Health disparities and outcomes
- Type
- article
- Field-Weighted Citation Impact
- 9.50
Funders
- National Science Foundation
- American Heart Association
- North Carolina Biotechnology Center
- National Institutes of Health