ArticleJMIR mHealth and uHealth2017
Apps for People With Rheumatoid Arthritis to Monitor Their Disease Activity: A Review of Apps for Best Practice and Quality.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 12 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
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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
83 citing papers in PubMed, 12 syntheses or guidelines pooled it, 163 citations in OpenAlex.
- A systematic review of menopause apps with an emphasis on osteoporosis.BMC women's health · 2023Pooled it
- Pooled it
- Mobile Apps for the Management of Gastrointestinal Diseases: Systematic Search and Evaluation Within App Stores.Journal of medical Internet research · 2022Pooled it
- Sticky apps, not sticky hands: A systematic review and content synthesis of hand hygiene mobile apps.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Tele-health interventions to support self-management in adults with rheumatoid arthritis: a systematic review.Rheumatology international · 2021Pooled it
- Mobile health technologies for the management of rheumatic diseases: a systematic review of online stores in Brazil.Clinical rheumatology · 2021Pooled it
- Measuring the Quality of Clinical Skills Mobile Apps for Student Learning: Systematic Search, Analysis, and Comparison of Two Measurement Scales.JMIR mHealth and uHealth · 2021Pooled it
- Smartphone Apps Targeting Physical Activity in People With Rheumatoid Arthritis: Systematic Quality Appraisal and Content Analysis.JMIR mHealth and uHealth · 2020Pooled it
- Mobile Health Apps for Self-Management of Rheumatic and Musculoskeletal Diseases: Systematic Literature Review.JMIR mHealth and uHealth · 2019Pooled it
- Evaluation of Mobile Apps Targeted at Patients With Spondyloarthritis for Disease Monitoring: Systematic App Search.JMIR mHealth and uHealth · 2019Pooled it
- Characteristics and quality of genetics and genomics mobile apps: a systematic review.European journal of human genetics : EJHG · 2019Pooled it
- Pooled it
- Management of Rheumatoid Arthritis With a Digital Health Application: A Multicenter, Pragmatic Randomized Clinical Trial.JAMA network open · 2023Trial
- Outcomes of a Mobile App to Monitor Patient-Reported Outcomes in Rheumatoid Arthritis: A Randomized Controlled Trial.Arthritis & rheumatology (Hoboken, N.J.) · 2021Trial
- Evaluating a Smartphone App-Based Module for Joint Self-Assessment as a Complementary Tool in Rheumatoid Arthritis Remote Disease Management.ACR open rheumatology · 2026Article
- Predictors of adherence to a digital health application in patients with inflammatory arthritis: retrospective analysis.Rheumatology international · 2025Article
- Evaluation of mobile applications related to patients with Parkinson's disease based on their essential features and capabilities.BMC medical informatics and decision making · 2024Article
- Expert Usability Evaluation of a Mobile Application for Systematic Caries Management in Children and Adolescents: A Cross-sectional Study.International journal of clinical pediatric dentistry · 2024Article
- Digital Storytelling for People With Cognitive Impairment Using Available Mobile Apps: Systematic Search in App Stores and Content Analysis.JMIR aging · 2024Article
- Which Educational Topics and Smartphone App Functions Are Prioritized by US Patients With Rheumatic and Musculoskeletal Diseases? A Mixed-Methods Study.The Journal of rheumatology · 2024Article
23 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRheumatoid arthritis (RA) is a chronic inflammatory arthritis requiring long-term treatment with regular monitoring by a rheumatologist to achieve good health outcomes. Since people with RA may wish to monitor their own disease activity with a smartphone app, it is important to understand the functions and quality of apps for this purpose.
objectiveThe aim of our study was to assess the features and quality of apps to assist people to monitor their RA disease activity by (1) summarizing the available apps, particularly the instruments used for measurement of RA disease activity; (2) comparing the app features with American College of Rheumatology and European League against Rheumatism (ACR and EULAR) guidelines for monitoring of RA disease activity; and (3) rating app quality with the Mobile App Rating Scale (MARS).
methodsSystematic searches of the New Zealand iTunes and Google Play app stores were used to identify all apps for monitoring of RA disease activity that could be used by people with RA. The apps were described by both key metadata and app functionality. App adherence with recommendations for monitoring of RA disease activity in clinical practice was evaluated by identifying whether apps included calculation of a validated composite disease activity measure and recorded results for future retrieval. App quality was assessed by 2 independent reviewers using the MARS.
resultsThe search identified 721 apps in the Google Play store and 216 in the iTunes store, of which 19 unique apps met criteria for inclusion (8 from both app stores, 8 iTunes, and 3 Google Play). In total, 14 apps included at least one validated instrument measuring RA disease activity; 7 of 11 apps that allowed users to enter a joint count used the standard 28 swollen and tender joint count; 8 apps included at least one ACR and EULAR-recommended RA composite disease activity (CDA) measure; and 10 apps included data storage and retrieval. Only 1 app, Arthritis Power, included both an RA CDA measure and tracked data, but this app did not include the standard 28 tender and swollen joint count. The median overall MARS score for apps was 3.41/5. Of the 6 apps that scored ≥4/5 on the overall MARS rating, only 1 included a CDA score endorsed by ACR and EULAR; however, this app did not have a data tracking function.
conclusionsThis review found a lack of high-quality apps for longitudinal assessment of RA disease activity. Current apps fall into two categories: simple calculators primarily for rheumatologists and data tracking tools for people with RA. The latter do not uniformly collect data using validated instruments or composite disease activity measures. There is a need for appropriate, high-quality apps for use by rheumatologists and patients together in co-management of RA.
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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.