ArticleBMC medical informatics and decision making2019
Development and validation of a pain monitoring app for patients with musculoskeletal conditions (The Keele pain recorder feasibility study).
Article in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04975568 (Effectiveness of Therapeutic Exercise Controlled Through App Adding Face-to-face Supervision Executed by Physical Therapist in the Subacute and Chronic Low Back Pain), which is not on this map. Cited by 15 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.
Effectiveness of Therapeutic Exercise Controlled Through App Adding Face-to-face Supervision Executed by Physical Therapist in the Subacute and Chronic Low Back Pain
Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis.JMIR mHealth and uHealth · 2022Pooled it
- Electronic Data Capture Versus Conventional Data Collection Methods in Clinical Pain Studies: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2020Pooled it
- Methodological Quality of Manuscripts Reporting on the Usability of Mobile Applications for Pain Assessment and Management: A Systematic Review.International journal of environmental research and public health · 2020Pooled it
- Self-guided digital acceptance and commitment therapy for fibromyalgia management: results of a randomized, active-controlled, phase II pilot clinical trial.Journal of behavioral medicine · 2024Trial
- The Added Value of Face-to-Face Supervision to a Therapeutic Exercise-Based App in the Management of Patients with Chronic Low Back Pain: A Randomized Clinical Trial.Sensors (Basel, Switzerland) · 2024Trial
- Co-production in sleep research: A scoping review of current practices and future directions.Journal of sleep research · 2025Article
- Shaping the future of geriatric chronic pain care: a research agenda for progress.Pain management · 2025Article
- Article
- The Effect of Everyday-Life Social Contact on Pain.Journal of medical Internet research · 2024Review
- Smartphone-Based Ecological Momentary Assessment for Collecting Pain and Function Data for Those with Low Back Pain.Sensors (Basel, Switzerland) · 2022Article
- User-Centered Development of a Mobile App for Biopsychosocial Pain Assessment in Adults: Usability, Reliability, and Validity Study.JMIR mHealth and uHealth · 2021Article
- Smartphone Applications Designed to Improve Older People's Chronic Pain Management: An Integrated Systematic Review.Geriatrics (Basel, Switzerland) · 2021Review
- User Engagement and Clinical Impact of the Manage My Pain App in Patients With Chronic Pain: A Real-World, Multi-site Trial.JMIR mHealth and uHealth · 2021Article
- PaiNEd app. Assessing central sensitization in survivors of breast cancer: A reliability study.Digital healthArticle
- Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAssessing daily change in pain and related symptoms help in diagnosis, prognosis, and monitoring response to treatment. However, such changes are infrequently assessed, and usually reviewed weeks or months after the start of treatment. We therefore developed a smartphone application (Keele Pain Recorder) to record information on the severity and impact of pain on daily life. Specifically, the study goal was to assess face, content and construct validity of data collection using the Pain Recorder in primary care patients receiving new analgesic prescriptions for musculoskeletal pain, as well as to assess its acceptability and clinical utility.
methodsThe app was developed with Keele's Research User Group (RUG), a clinical advisory group (CAG) and software developer for use on Android devices. The app recorded pain levels, interference, sleep disturbance, analgesic use, mood and side effects. In a feasibility study, patients aged > 18 attending their general practitioner (GP) with a painful musculoskeletal condition were recruited to use the app twice per day for 28 days. Face and construct validity were assessed through baseline and post-study questionnaires (Spearman's rank correlation coefficient). Usability and acceptability were determined through post-study questionnaires, and patient, GP, RUG and CAG interviews.
resultsAn app was developed which was liked by both patients and GPs. It was felt that it offered the opportunity for GPs to discuss pain control with their patients in a new way. All participants found the app easy to use (it did not interfere with their activities) and results easy to interpret. Strong associations existed between the first 3 days (Spearman r = 0.79) and last 3 days (r = 0.60) of pain levels and intensity scores on the app with the validated questionnaires.
conclusionsCollaborating with patient representatives and clinical stakeholders, we developed an app which can be used to help clinicians and patients monitor painful musculoskeletal conditions in response to analgesic prescribing. Recordings were accurate and valid, especially, for pain intensity ratings, and it was easy to use. Future work needs to examine how pain trajectories can help manage changes in a patient's condition, ultimately assisting in self-management.
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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.