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Long-Term Clinical Outcomes of a Remote Digital Musculoskeletal Program: An Ad Hoc Analysis from a Longitudinal Study with a Non-Participant Comparison Group
Open accessAbstract
Digital solutions have emerged as an alternative to conventional physiotherapy, particularly for chronic musculoskeletal pain (CMP) management; however, its long-term effects remain largely unexplored. This study focuses on patients reporting CMP, assessing 1-year clinical outcomes after a multimodal digital care program (DCP) versus non-participants, who enrolled in the program but never engaged in a single exercise session or partook of the educational content made available to them. In this longitudinal study ad-hoc analysis, pain and functionality outcomes at 1-year reassessment were studied, focusing on the odds of reaching minimal clinically important difference (MCID) and, overall average reduction in both outcomes. Healthcare utilization was additionally studied within the same period. From 867 individuals allocated to the study, 460 completed the 1-year reassessment (intervention group: 310; comparison group: 150). The intervention group presented sustained and greater pain reduction until 1-year reassessment than the comparison group, reflecting greater odds ratio of achieving the MCID both in pain and functionality (1.90 95% CI: 1.27–2.86, p = 0.002 and 2.02 95% CI: 1.31–3.12, p = 0.001, respectively). A lower healthcare utilization during the 1-year follow-up was observed in the intervention group than in the comparison group. This study suggests that a digital CMP program may have a lasting impact on improved pain and functionality in patients with CMP.
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Digital rehabilitation is effective among several musculoskeletal conditions regardless of race/ethnicity and socioeconomic backgrounds.
“Previous research supports its effectiveness among several musculoskeletal (MSK) conditions [16-18] regardless of race/ethnicity [19] and socioeconomic backgrounds [20].”
From Exploring the Importance of Race and Gender Concordance Between Patients and Physical Therapists in Digital Rehabilitation for Musculoskeletal Conditions: Observational, Longitudinal Study (2024) · cites this paper as [17]
Citation [20] is attached to the claim that effectiveness holds regardless of socioeconomic background. The Methods (§2.8) list employment status among baseline demographics, and the Results (§3.2) describe employment, but neither reports outcomes by socioeconomic background. Searches for socioeconomic status, income, and education found no passage establishing that qualifier. (LLM, conf=0.74)
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Self-citationReliability, minimal detectable change, and responsiveness of the Quick-FAAM
Hoch, J. M., Powden, C. J., & Hoch, M. C. (2018) · Physical Therapy in Sport · doi:10.1016/j.ptsp.2018.04.004 · Cited by 15
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Costa, F. M. T. A., Janela, D., Molinos, M., Moulder, R. G., Jr., Bento, V., Laíns, J., Scheer, J. K., Yanamadala, V., Cohen, S. P., & Correia, F. D. (2022) · Journal of Medical Internet Research · doi:10.2196/38942 · Cited by 12
Self-citationDigital Care Programs for Chronic Hip Pain: A Prospective Longitudinal Cohort Study
Janela, D., Costa, F. M. T. A., Areias, A. C., Molinos, M., Moulder, R. G., Jr., Laíns, J., Bento, V., Scheer, J. K., Yanamadala, V., Cohen, S. P., et al. (2022) · Healthcare · doi:10.3390/healthcare10081595 · Cited by 7
Self-citationCohort Studies in the Understanding of Chronic Musculoskeletal Pain
Santiesteban, C. S. (2018) · InTech eBooks · doi:10.5772/intechopen.75517 · Cited by 1
Flagged first, then by citations
2 of the 99 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
El-Tallawy, S. N., Pergolizzi, J. V., Vasiliu-Feltes, I., Ahmed, R. S., LeQuang, J. A., Alzahrani, T., Varrassi, G., Awaleh, F. I., Alsubaie, A. T., & Nagiub, M. S. (2024) · Pain and Therapy · doi:10.1007/s40122-024-00620-7 · Cited by 77
Pain Management in the Post-COVID Era—An Update: A Narrative Review
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Feasibility of 3D Body Tracking from Monocular 2D Video Feeds in Musculoskeletal Telerehabilitation
Clemente, C., Chambel, G., Silva, D. C. F., Montes, A. M., Pinto, J. F., & Silva, H. (2023) · Sensors · doi:10.3390/s24010206 · Cited by 27
Areias, A. C., Janela, D., Molinos, M., Moulder, R. G., Jr., Bento, V., Yanamadala, V., Cohen, S. P., Correia, F. D., & Costa, F. M. T. A. (2023) · JMIR Rehabilitation and Assistive Technologies · doi:10.2196/49673 · Cited by 14
Self-citationMusculoskeletal and Neuropathic Pain in COVID-19
Lam, C. M., Sanderson, M., Vu, D. T., Sayed, D., Latif, U., Chadwick, A. L., Staats, P. S., York, A., Smith, G. V., Velagapudi, V., et al. (2024) · Diagnostics · doi:10.3390/diagnostics14030332 · Cited by 11
Kang, D.-H., Park, J. H., Yoon, C., Choi, C.-H., Lee, S., Park, T. H., Chang, S. Y., & Jang, S. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13237377 · Cited by 8
Recovering Work Productivity in a Population With Chronic Musculoskeletal Pain
Janela, D., Areias, A. C., Moulder, R. G., Jr., Molinos, M., Bento, V., Yanamadala, V., Correia, F. D., & Costa, F. M. T. A. (2024) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000003191 · Cited by 4
Self-citationAreias, A. C., Janela, D., Molinos, M., Bento, V., Moreira, C., Yanamadala, V., Cohen, S. P., Correia, F. D., & Costa, F. (2024) · Journal of Medical Internet Research · doi:10.2196/65354 · Cited by 3
Self-citationPereira, A. P. D., Seet, A. M., Janela, D., Pradhan, A., Areias, A. C., Domingues, B., Bento, V., Yanamadala, V., Cohen, S. P., Correia, F. D., et al. (2025) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2025.09.010 · Cited by 3
Self-citationHalliday, B., Chatfield, S., Cameron, L., Hosking, J., Chynoweth, J., Stockley, L., Bailey, M. P., Shawe, J., Hawton, A., Hayward, C. J., et al. (2025) · Pilot and Feasibility Studies · doi:10.1186/s40814-025-01638-0 · Cited by 1
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Milewska, A., Przedborska, A., & Irzmański, R. (2025) · Applied Sciences · doi:10.3390/app152011065 · Cited by 1
Rhon, D. I., McDevitt, A. W., Magel, J. S., & Donaldson, M. B. (2025) · Sports Health A Multidisciplinary Approach · doi:10.1177/19417381251372980
Initial Exploration of a Music-Based Telehealth Support for Medically-Complex Chronic Pain Patients
Hunt, A. M., Schug, S., Maitin, A., Peluso, A., Patel, A., & Bailey, J. (2026) · Journal of Pain Research · doi:10.2147/jpr.s571972
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Metadata
- Authors
- Areias, A. C., Costa, F., Janela, D., Molinos, M., Moulder, R. G., Lains, J., Scheer, J. K., Bento, V., Yanamadala, V., & Correia, F. D.
- Affiliations
- Sword Health Inc., Draper, UT 84043, USA
- Institute for Cognitive Science, University of Colorado Boulder, Boulder, CO 80309, USA
- Rovisco Pais Medical and Rehabilitation Centre, 3064-908 Tocha, Portugal
- University of California, San Francisco (US)
- Quinnipiac University (US)
- Corresponding author
- Correia, Fernando Dias
- ORCID
- Venue
- Healthcare
- Publisher
- MDPI AG
- Published
- 2022-11-23
- Volume
- 10
- Issue
- 12
- Pages
- 2349
- ISSN
- 2227-9032 (ISSN-L)
- PMC
- PMC9778537
- OpenAlex
- W4309728731
- Cited by
- 15
- References
- 99
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 5 · 2023: 3
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Healthcare (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- chronic musculoskeletal pain, remote physiotherapy, exercise intervention, analgesia, functional capacity, minimal clinically important difference, health care utilization, long-term outcomes
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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