Academic Journal

Methods to Analyse High Frequency Patient-Generated Health Data to Assess Treatment Response: Scoping Review.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Methods to Analyse High Frequency Patient-Generated Health Data to Assess Treatment Response: Scoping Review.
Συγγραφείς: Banda M; The University of Manchester, Manchester, England., Bladon S; The University of Manchester, Manchester, England., Al-Attar M; The University of Manchester, Manchester, England., Cahuantzi R; The University of Manchester, Manchester, England., Jenkins D; The University of Manchester, Manchester, England., Dixon WG; The University of Manchester, Manchester, England., van der Veer SN; The University of Manchester, Manchester, England.
Πηγή: Studies in health technology and informatics [Stud Health Technol Inform] 2025 May 15; Vol. 327, pp. 1009-1010.
Τύπος έκδοσης: Journal Article; Scoping Review
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Imprint Name(s): Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
Ιατρικοί όροι (MeSH): Patient Generated Health Data*/statistics & numerical data, Humans ; Treatment Outcome
Περίληψη: This review identified 190 studies that used high frequency ePGHD to assess treatment response, presenting preliminary findings here for 50. Most were observational (44%) and collected different ePGHD types e.g. symptoms and diet (52%) using mobile apps (80%). Some studies excluded ePGHD before using descriptive statistics or ignored correlations inherent in repeated measures when clustering ePGHD using K-means. However, some used robust methods such as mixed effects models that account for these correlations. The findings highlight the need for broader adoption of robust methods to improve the accuracy of treatment response estimates.
Contributed Indexing: Keywords: Patient-Generated Health Data; Treatment response
Entry Date(s): Date Created: 20250517 Date Completed: 20250517 Latest Revision: 20250522
Update Code: 20260130
DOI: 10.3233/SHTI250530
PMID: 40380637
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1879-8365
DOI:10.3233/SHTI250530