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

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.

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Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250530
Primary Topic
Mental Health Research Topics
Type
article
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article

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

Sabine N van der Veer, David Jenkins, Michelo Banda, William G Dixon et al.
Studies in health technology and informatics
Mental Health Research Topics
article

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

Sabine N van der Veer, David Jenkins, Michelo Banda, William G Dixon, Roberto Cahuantzi, Mariam Al-Attar, Siân Bladon
article en

Abstract

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.

Studies in health technology and informaticsVol. 327
University of Manchester (GB)
Good health and well-being
Openalex Percentile: Top 74%
Mental Health Research Topics
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Methods to Analyse High Frequency Patient-Generated Health Data to Assess Treatment Response: Scoping Review — Sabine N van der Veer, David Jenkins, et al. · Studies in health technology and informatics (2025) | TGRS Research Map | TGRS