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How and Who? Examining Real-World Evidence of Engagement and Use of an Electronic Patient-Reported Outcome Smartphone Application in Routine Clinical Care for Patients With Inflammatory Arthritides.

作者信息

Biliavska Iuliia, Lenguerrand Erik, Tobias Jonathan H, Hamann Philip D H

机构信息

University of Bristol, Bristol, United Kingdom, and State Institution, National Scientific Center, The M.D. Strazhesko Institute of Cardiology, Clinical and Regenerative Medicine of the National Academy of Medical Sciences of Ukraine, Kyiv, Ukraine.

University of Bristol, Bristol, United Kingdom.

出版信息

ACR Open Rheumatol. 2025 May;7(5):e70049. doi: 10.1002/acr2.70049.


DOI:10.1002/acr2.70049
PMID:40326863
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12053926/
Abstract

OBJECTIVE: We evaluate the use of an app to remotely collect electronic patient-reported outcomes (ePROs) in patients attending routine rheumatology clinics with inflammatory arthritis (IA) over a four year period. METHODS: This is a secondary analysis of real-world data obtained from patients with IA who attended routine appointments between 2018 and 2022. Patients used an app to track their disease course by using Routine Assessment of Patient Index Data 3 (RAPID3), Health Assessment Questionnaire - Disability Index, or self-assessing tender and swollen joint counts. Elapsed days of the app use, number, and time between ePROs reports were analyzed using Poisson and Tobit regression models. Results were stratified by gender, age, diagnosis, baseline disease severity, and disability. RESULTS: At least one ePRO report was provided by 673 patients. Mean age was 53.7 ± 13.9 years; 458 (68%) were female. RAPID3 was reported by 613 (91%) patients, 531 (79%) provided more than one RAPID3, and 82 (12%) provided one RAPID3; there was no difference between groups stratified by gender, age, IA type, and baseline arthritis severity. Median engagement was 14.8 months (interquartile range 12.8-17). The proportion of enrolled patients completing a RAPID3 every month reduced from 91% at baseline to 38% at 6 months, and 24% at month 12. Older patients (60-69 years old) were more likely to be long-term users than those aged less than 50 years old (P < 0.006). Patients aged over 60 provided more reports than younger users (P < 0.0001). Gender, baseline arthritis activity, and disability level were not associated with the length or frequency of app use. CONCLUSION: This analysis offers insights into engagement and long-term sustainability of remote ePRO collection in a real-world rheumatology setting.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a657/12053926/ecf92c4769b1/ACR2-7-e70049-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a657/12053926/db8711513601/ACR2-7-e70049-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a657/12053926/949df1203468/ACR2-7-e70049-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a657/12053926/ecf92c4769b1/ACR2-7-e70049-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a657/12053926/db8711513601/ACR2-7-e70049-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a657/12053926/949df1203468/ACR2-7-e70049-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a657/12053926/ecf92c4769b1/ACR2-7-e70049-g002.jpg

相似文献

[1]
How and Who? Examining Real-World Evidence of Engagement and Use of an Electronic Patient-Reported Outcome Smartphone Application in Routine Clinical Care for Patients With Inflammatory Arthritides.

ACR Open Rheumatol. 2025-5

[2]
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[3]
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[4]
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[5]
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J Rheumatol. 2013-2-1

[6]
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[7]
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[8]
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[10]
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本文引用的文献

[1]
Advancing Rheumatology Care Through Machine Learning.

Pharmaceut Med. 2024-3

[2]
Online Patient-Reported Outcome Measure Engagement Is Dependent on Demographics and Locality: Findings From an Observational Cohort.

J Rheumatol. 2023-9

[3]
Incidence and management of inflammatory arthritis in England before and during the COVID-19 pandemic: a population-level cohort study using OpenSAFELY.

Lancet Rheumatol. 2022-12

[4]
Engagement and attrition with eHealth tools for remote monitoring in chronic arthritis: a systematic review and meta-analysis.

RMD Open. 2022-10

[5]
Machine Learning Applied to Patient-Reported Outcomes to Classify Physician-Derived Measures of Rheumatoid Arthritis Disease Activity.

ACR Open Rheumatol. 2022-12

[6]
Smartphone-Assisted Patient-Initiated Care Versus Usual Care in Patients With Rheumatoid Arthritis and Low Disease Activity: A Randomized Controlled Trial.

Arthritis Rheumatol. 2022-11

[7]
Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review.

J Med Internet Res. 2022-4-26

[8]
Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study.

J Multimorb Comorb. 2021-11-30

[9]
2021 EULAR recommendations for the implementation of self-management strategies in patients with inflammatory arthritis.

Ann Rheum Dis. 2021-10

[10]
Remote Measurement in Rheumatoid Arthritis: Qualitative Analysis of Patient Perspectives.

JMIR Form Res. 2021-3-9

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