ArticleBMC musculoskeletal disorders2022
Smartphone-based behavioral monitoring and patient-reported outcomes in adults with rheumatic and musculoskeletal disease.
Article in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Responsiveness and sensitivity of PROMs to change in disease activity status in early and established rheumatoid arthritis.Rheumatology (Oxford, England) · 2025Trial
- Evaluation of artificial ıntelligence use in ankylosing spondylitis with ChatGPT-4: patient and physician perspectives.Clinical rheumatology · 2025Article
- Collecting patient-reported outcomes via the COTIDIANA smartphone app: a prospective validity study.RMD open · 2025Article
- PhysioDimClassifier-imbalance data classifier model for IoMT-based remote patient monitoring systems.MethodsX · 2025Article
- Sleep disorders in rheumatoid arthritis, axial spondyloarthritis and psoriatic arthritis.Rheumatology international · 2025Review
- Expert Consensus on Developing Information and Communication Technology-Based Patient Education Guidelines for Rheumatic Diseases in the Korea.Journal of Korean medical science · 2025Article
- Digital health: current applications, challenges, and future directions for enhancing healthcare quality and safety.Frontiers in public health · 2025Review
- Combining patient-reported outcome measures to screen for active disease in rheumatoid arthritis and psoriatic arthritis.RMD open · 2024Article
- Acceptability, Perceptions, and Experiences Regarding Electronic Patient-Reported Outcomes After Laparoscopic Cholecystectomy: Protocol for a Mixed Methods Feasibility Study.JMIR research protocols · 2024Article
- A Real-World Effectiveness Study Using a Mobile Application to Evaluate Early Outcomes with Upadacitinib in Rheumatoid Arthritis.Rheumatology and therapy · 2023Article
- Digital health in musculoskeletal care: where are we heading?BMC musculoskeletal disorders · 2023Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRheumatic and musculoskeletal diseases (RMD) are associated with depression, fatigue, and disturbed sleep - symptoms that often impact behavior and activity. Patient reported outcomes (PROs) are a way of collecting information on the patient symptom experience directly from the individual. The purpose of this study was to measure and compare user smartphone sensor and activity data in adults with RMDs and assess associations with PROs.
methodsWe invited adults with RMDs enrolled in the FORWARD Databank to participate by installing a custom app on their smartphone and answering PROs (pain, global, HAQ-II) questions daily and weekly over 3 years. Passive data collected included mobility distance, unique calls and text messages, call durations, and number of missed calls. Confounders included sociodemographic, clinical, passive phone behavior, and seasonal factors. Kappa statistics between PRO and flares were computed to measure agreement. The agreement between daily and weekly VAS pain was estimated using the intraclass (ICC) correlation of a two-way random effect model. The relationship between the weekly PRO outcomes and the passive phone data was analyzed with a linear mixed-effect model (LMM), including a random intercept for participant and slope for time in the study with an unstructured covariate structure.
resultsOf the 446 participants, the mean (SD) age was 54 (12) years, most (65.5%) had rheumatoid arthritis (RA), the vast majority (91%) were female, and the US Northeast has the least representation (12%). Longer reaction times, interaction diversity, and higher mobility were associated with worse PROs while longer text messages were associated with better PROs. Participants in this study showed good levels of adherence which holds promise for future interventions using passive behavior measures in self-management and clinical follow-up.
conclusionThis is the first study to examine passive smartphone behavior with PROs in RMDs and we found significant associations between these behaviors and important health outcomes of pain and function. As smartphone usage continues to change, future studies should validate and expand on our findings with a goal of finding changes in patient symptoms passively through mobile device monitoring.
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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.