ArticleRheumatology advances in practice2025
Improved clinical care and capacity through an integrated electronic patient-reported outcome measure and health record system in inflammatory arthritis.
Article in Rheumatology advances in practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Article
- Digital monitoring in rheumatoid arthritis: remote assessment, wearables, and data-driven disease management.Current opinion in rheumatology · 2026Review
- Measurement of the impact of giant cell arteritis and treatment with glucocorticoids on health-related quality of life.Therapeutic advances in musculoskeletal disease · 2026Review
- Patient-reported outcome measures (PROMs) and clinical decision-making in inflammatory rheumatic conditions: a systematic review.Rheumatology advances in practice · 2026Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Patient-reported outcome measures (PROMs) are essential for inflammatory arthritis (IA). Collecting electronic PROMs (ePROMs) remotely into electronic patient records (EPRs) enables timely, patient-centred care. This study evaluated the real-world clinical impact, efficiency and feasibility of implementing a fully integrated ePROM system across three IA conditions: rheumatoid arthritis, axial spondyloarthritis and psoriatic arthritis. Methods: From January 2019 to December 2024, IA patients completed ePROMs remotely at regular intervals or on request by patients or clinicians, with data automatically uploaded to the EPR. Alerts based on predefined thresholds prompted clinical review. Patients with stable disease were transitioned to patient-initiated follow-up. Outcomes include ePROM completion rates, patient engagement, satisfaction, appointment utilisation, time savings and the new-to-follow up (N:FU) ratio. Time saved was estimated by calculating reduced follow-up appointments multiplied by 20-min consultation length. We assessed effectiveness through patient and clinician engagement and satisfaction. Results: The ePROM completion rates improved from 25% (paper) to 66% (ePROM). A total of 1500 clinic hours per year were saved through reduced follow-ups. The N:FU ratio improved from 1:3.1 in 2019 to 1:2.2 in 2024. Increased capacity enabled shorter waiting times for new and urgent follow-up patient clinic appointments. Longitudinal ePROM trends provided better actionable insight than single time points. Conclusion: The integrated ePROM system enhanced PROM completion, enabled safe remote monitoring and supported expansion of patient-initiated follow-up. The system improved the efficiency and responsiveness of IA care as well as promoted personalised care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.