Exploring the Potential of Electronic Patient-Generated Health Data for Evaluating Treatment Response to Intramuscular Steroids in Rheumatoid Arthritis: Case Series

This case series demonstrates the feasibility of using ePGHD to evaluate treatment response and is an important exploratory step toward developing more robust methodological approaches for analysis of this novel data type. Issues highlighted by our analysis include the importance of accounting for one-off data points, varying response start times, and confounders such as other medications. Future analysis of ePGHD across a larger population is required to address issues highlighted by our analysis and to develop meaningful consensus definitions for treatment response in time-series data.

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Publication Details

Journal
JMIR Formative Research
Published
2024-10-28
DOI
https://doi.org/10.2196/55715
Citations
2
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
0.65

Funders

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article

Exploring the Potential of Electronic Patient-Generated Health Data for Evaluating Treatment Response to Intramuscular Steroids in Rheumatoid Arthritis: Case Series

Julie Gandrup, Sabine N van der Veer, William G Dixon, Mariam Al-Attar et al.
2 citations
JMIR Formative Research
Asthma and respiratory diseases
0.65
article

Exploring the Potential of Electronic Patient-Generated Health Data for Evaluating Treatment Response to Intramuscular Steroids in Rheumatoid Arthritis: Case Series

Julie Gandrup, Sabine N van der Veer, William G Dixon, Mariam Al-Attar, Kesmanee Assawamartbunlue
article en
2 citations

Abstract

This case series demonstrates the feasibility of using ePGHD to evaluate treatment response and is an important exploratory step toward developing more robust methodological approaches for analysis of this novel data type. Issues highlighted by our analysis include the importance of accounting for one-off data points, varying response start times, and confounders such as other medications. Future analysis of ePGHD across a larger population is required to address issues highlighted by our analysis and to develop meaningful consensus definitions for treatment response in time-series data.

JMIR Formative ResearchVol. 8
Manchester Academic Health Science Centre (GB), University of Manchester (GB), Salford Royal Hospital (GB), Arthritis UK (GB)
Versus Arthritis
Good health and well-being
Openalex Percentile: Top 28%
Asthma and respiratory diseases
0.65
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