Current methods for analyzing time-series patient-generated health data to assess treatment response: a scoping review
Many studies in this review did not fully leverage the high-frequency, longitudinal nature of ePGHD. Future research should adopt more appropriate and readily available analytic methods to maximize the potential of time-series ePGHD for generating insights into treatment response.
Authors
- Sabine N van der Veer (ORCID: https://orcid.org/0000-0003-0929-436X)
- David Jenkins (ORCID: https://orcid.org/0000-0001-6687-3507)
- William G Dixon
- Roberto Cahuantzi (ORCID: https://orcid.org/0000-0002-0212-6825)
- Mariam Al-Attar (ORCID: https://orcid.org/0000-0002-3450-5803)
- Siân Bladon (ORCID: https://orcid.org/0000-0001-9087-6505)
- Michelo Banda
Institutions
- Manchester Academic Health Science Centre (GB)
- University of Zambia (ZM)
- NIHR Manchester Biomedical Research Centre (GB)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2026-02-11
- DOI
- https://doi.org/10.1093/jamia/ocag027
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00