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Managing Musculoskeletal Pain in Older Adults Through a Digital Care Solution: Secondary Analysis of a Prospective Clinical Study.
Areias, Anabela C; Janela, Dora; Molinos, Maria; Moulder, Robert G; Bento, Virgílio; Yanamadala, Vijay; Cohen, Steven P; Correia, Fernando Dias; Costa, Fabíola.
Afiliación
  • Areias AC; Sword Health, Inc, Draper, UT, United States.
  • Janela D; Sword Health, Inc, Draper, UT, United States.
  • Molinos M; Sword Health, Inc, Draper, UT, United States.
  • Moulder RG; Sword Health, Inc, Draper, UT, United States.
  • Bento V; Institute for Cognitive Science, University of Colorado Boulder, Boulder, CO, United States.
  • Yanamadala V; Sword Health, Inc, Draper, UT, United States.
  • Cohen SP; Sword Health, Inc, Draper, UT, United States.
  • Correia FD; Department of Surgery, Frank H Netter School of Medicine, Quinnipiac University, Hamden, CT, United States.
  • Costa F; Department of Neurosurgery, Hartford Healthcare Medical Group, Westport, CT, United States.
JMIR Rehabil Assist Technol ; 10: e49673, 2023 Aug 15.
Article en En | MEDLINE | ID: mdl-37465960
ABSTRACT

BACKGROUND:

Aging is closely associated with an increased prevalence of musculoskeletal conditions. Digital musculoskeletal care interventions emerged to deliver timely and proper rehabilitation; however, older adults frequently face specific barriers and concerns with digital care programs (DCPs).

OBJECTIVE:

This study aims to investigate whether known barriers and concerns of older adults impacted their participation in or engagement with a DCP or the observed clinical outcomes in comparison with younger individuals.

METHODS:

We conducted a secondary analysis of a single-arm investigation assessing the recovery of patients with musculoskeletal conditions following a DCP for up to 12 weeks. Patients were categorized according to age ≤44 years old (young adults), 45-64 years old (middle-aged adults), and ≥65 years old (older adults). DCP access and engagement were evaluated by assessing starting proportions, completion rates, ability to perform exercises autonomously, assistance requests, communication with their physical therapist, and program satisfaction. Clinical outcomes included change between baseline and program end for pain (including response rate to a minimal clinically important difference of 30%), analgesic usage, mental health, work productivity, and non-work-related activity impairment.

RESULTS:

Of 16,229 patients, 12,082 started the program 38.3% (n=4629) were young adults, 55.7% (n=6726) were middle-aged adults, and 6% (n=727) were older adults. Older patients were more likely to start the intervention and to complete the program compared to young adults (odds ratio [OR] 1.72, 95% CI 1.45-2.06; P<.001 and OR 2.40, 95% CI 1.97-2.92; P<.001, respectively) and middle-aged adults (OR 1.22, 95% CI 1.03-1.45; P=.03 and OR 1.38, 95% CI 1.14-1.68; P=.001, respectively). Whereas older patients requested more technical assistance and exhibited a slower learning curve in exercise performance, their engagement was higher, as reflected by higher adherence to both exercise and education pieces. Older patients interacted more with the physical therapist (mean 12.6, SD 18.4 vs mean 10.7, SD 14.7 of young adults) and showed higher satisfaction scores (mean 8.7, SD 1.9). Significant improvements were observed in all clinical outcomes and were similar between groups, including pain response rates (young adults 949/1516, 62.6%; middle-aged adults 1848/2834, 65.2%; and older adults 241/387, 62.3%; P=.17).

CONCLUSIONS:

Older adults showed high adherence, engagement, and satisfaction with the DCP, which were greater than in their younger counterparts, together with significant clinical improvements in all studied outcomes. This suggests DCPs can successfully address and overcome some of the barriers surrounding the participation and adequacy of digital models in the older adult population.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Rehabil Assist Technol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Rehabil Assist Technol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos