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Article

Digital Rehabilitation for Elbow Pain Musculoskeletal Conditions: A Prospective Longitudinal Cohort Study

1
SWORD Health, Inc., Draper, UT 84043, USA
2
Institute for Cognitive Science, University of Colorado Boulder, Boulder, CO 80309, USA
3
Rovisco Pais Medical and Rehabilitation Centre, 3064-908 Tocha, Portugal
4
Faculty of Medicine, Coimbra University, 3004-504 Coimbra, Portugal
5
Department of Neurological Surgery, University of California, San Francisco, CA 94143, USA
6
Department of Surgery, Frank H. Netter School of Medicine, Quinnipiac University, Hamden, CT 06473, USA
7
Department of Neurosurgery, Hartford Healthcare Medical Group, Westport, CT 06103, USA
8
Department of Anesthesiology & Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
9
Department of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
10
Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
11
Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA
12
Department of Anesthesiology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
13
Department of Physical Medicine and Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
14
Department of Neurology, Centro Hospitalar e Universitário do Porto, 4099-001 Porto, Portugal
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(15), 9198; https://doi.org/10.3390/ijerph19159198
Submission received: 16 June 2022 / Revised: 20 July 2022 / Accepted: 25 July 2022 / Published: 27 July 2022
(This article belongs to the Special Issue New Technologies, Rehabilitation and Health)

Abstract

Elbow musculoskeletal pain (EP) is a major cause of disability. Telerehabilitation has shown great potential in mitigating musculoskeletal pain conditions, but EP is less explored. This single-arm interventional study investigates clinical outcomes and engagement levels of a completely remote multimodal digital care program (DCP) in patients with EP. The DCP consisted of exercise, education, and cognitive-behavioral therapy for 8 weeks. Primary outcome: disability change (through the Quick Disabilities of the Arm, Shoulder, and Hand questionnaire (QuickDASH), treatment response cut-offs: 12.0-point reduction and 30% change). Secondary outcomes: pain, analgesic intake, surgery intent, mental health, fear–avoidance beliefs, work productivity, and patient engagement. Of the 132 individuals that started the DCP, 112 (84.8%) completed the intervention. Significant improvements were observed in QuickDASH with an average reduction of 48.7% (11.9, 95% CI 9.8; 14.0), with 75.3% of participants reporting ≥30% change and 47.7% reporting ≥12.0 points. Disability change was accompanied by reductions in pain (53.1%), surgery intent (57.5%), anxiety (59.8%), depression (68.9%), fear–avoidance beliefs (34.2%), and productivity impairment (72.3%). Engagement (3.5 (SD 1.4) sessions per week) and satisfaction 8.5/10 (SD 1.6) were high. The significant improvement observed in clinical outcomes, alongside high engagement, and satisfaction suggests patient acceptance of this care delivery mode.
Keywords: musculoskeletal pain; physical therapy; telerehabilitation; digital therapy; eHealth; motion trackers musculoskeletal pain; physical therapy; telerehabilitation; digital therapy; eHealth; motion trackers

Share and Cite

MDPI and ACS Style

Janela, D.; Costa, F.; Molinos, M.; Moulder, R.G.; Lains, J.; Bento, V.; Scheer, J.K.; Yanamadala, V.; Cohen, S.P.; Correia, F.D. Digital Rehabilitation for Elbow Pain Musculoskeletal Conditions: A Prospective Longitudinal Cohort Study. Int. J. Environ. Res. Public Health 2022, 19, 9198. https://doi.org/10.3390/ijerph19159198

AMA Style

Janela D, Costa F, Molinos M, Moulder RG, Lains J, Bento V, Scheer JK, Yanamadala V, Cohen SP, Correia FD. Digital Rehabilitation for Elbow Pain Musculoskeletal Conditions: A Prospective Longitudinal Cohort Study. International Journal of Environmental Research and Public Health. 2022; 19(15):9198. https://doi.org/10.3390/ijerph19159198

Chicago/Turabian Style

Janela, Dora, Fabíola Costa, Maria Molinos, Robert G. Moulder, Jorge Lains, Virgílio Bento, Justin K. Scheer, Vijay Yanamadala, Steven P. Cohen, and Fernando Dias Correia. 2022. "Digital Rehabilitation for Elbow Pain Musculoskeletal Conditions: A Prospective Longitudinal Cohort Study" International Journal of Environmental Research and Public Health 19, no. 15: 9198. https://doi.org/10.3390/ijerph19159198

APA Style

Janela, D., Costa, F., Molinos, M., Moulder, R. G., Lains, J., Bento, V., Scheer, J. K., Yanamadala, V., Cohen, S. P., & Correia, F. D. (2022). Digital Rehabilitation for Elbow Pain Musculoskeletal Conditions: A Prospective Longitudinal Cohort Study. International Journal of Environmental Research and Public Health, 19(15), 9198. https://doi.org/10.3390/ijerph19159198

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