ArticleJournal of patient-reported outcomes2020
Development of an electronic patient-reported outcome measure (ePROM) system to aid the management of patients with advanced chronic kidney disease.
Article in Journal of patient-reported outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Implementing electronic Patient-Reported Outcome Measures in Chronic Kidney Disease: a qualitative systematic review of barriers, enablers, and mechanisms.Health and quality of life outcomes · 2026Pooled it
- Symptom burden and health-related quality of life in chronic kidney disease: A global systematic review and meta-analysis.PLoS medicine · 2022Pooled it
- Pooled it
- Measurement equivalence of the paper-based and electronic version of the Integrated Palliative care Outcome Scale (IPOS): A randomised crossover trial.Palliative medicine · 2023Trial
- Trial
- Measurement Properties of an Electronic Patient-Reported Outcome Measure for Patients with Non-Dialysis-Dependent CKD.Kidney360 · 2026Article
- Lived realities of symptom burden among haemodialysis patients: a phenomenological study from rural Pakistan.BMJ open · 2025Article
- Kidney Disease: Improving Global Outcomes (KDIGO) Workshop on the Nurse's Role in Managing the Symptoms of People Receiving Dialysis.Kidney international reports · 2025Article
- Patient-reported outcomes used actively in cancer patients undergoing antineoplastic treatment: A mini-review of the Danish landscape.Computational and structural biotechnology journal · 2024Review
- User-Centered Design and Usability of Voxe as a Pediatric Electronic Patient-Reported Outcome Measure Platform: Mixed Methods Evaluation Study.JMIR human factors · 2024Article
- APPROACH e-PROM system: a user-centered development and evaluation of an electronic patient-reported outcomes measurement system for management of coronary artery disease.Journal of patient-reported outcomes · 2024Article
- Usability of an Automated System for Real-Time Monitoring of Shared Decision-Making for Surgery: Mixed Methods Evaluation.JMIR human factors · 2024Article
- Recommendations to address respondent burden associated with patient-reported outcome assessment.Nature medicine · 2024Review
- Using a multi-stakeholder co-design process to develop a health service organisation-wide patient reported outcome measure collection system.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Article
- Global use of electronic patient-reported outcome systems in nephrology: a mixed methods study.BMJ open · 2023Review
- Severe asthma patients' and physicians' perspectives of disease burden: do they match?ERJ open research · 2023Article
- Article
- A narrative review of current evidence supporting the implementation of electronic patient-reported outcome measures in the management of chronic diseases.Therapeutic advances in chronic disease · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundEffective management of patients with chronic kidney disease (CKD) relies on timely detection of clinical deterioration towards end stage kidney failure. We aimed to design an electronic Patient-Reported Outcome Measure (ePROM) system, which would allow patients with advanced CKD (pre-dialysis) to: (i) remotely self-report their symptoms using a simple and secure online platform; (ii) share the data with the clinical team in real-time via the electronic patient record to help optimise care. We adopted a staged development process which included: a systematic review of PROMs used in CKD; formation of a co-design team; prototype system design/development, user acceptance testing and refinement; finalisation of the system for testing in a pilot/feasibility trial.
resultsA co-design team was convened, including patients with lived experience of CKD; clinical team members; IT/Informatics experts; academics; and Birmingham Clinical Trials Unit representatives. A prototype system was developed and iterative changes made before finalisation during a series of operational meetings. The system allows patients to remotely self-report their symptoms; provides tailored self-management advice; allows monitoring of real-time patient ePROM data; sends automated notifications to the patient/clinical team in the advent of a severe symptom report; and incorporates longitudinal ePROM symptom data into the electronic patient record. Feasibility of the system will be evaluated as part of the National Institute for Health Research funded RePROM (Renal electronic Patient-Reported Outcome Measure) pilot trial (ISRCTN12669006).
conclusionsRoutine ePROM collection with real-time feedback has the potential to improve outcomes and reduce health service costs. We have successfully developed a trial-ready ePROM system for advanced CKD, the feasibility of which is currently being explored in a pilot trial. Assuming feasibility is demonstrated, formal evaluation of efficacy will take place in a future multi-centre randomised controlled trial.
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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.