Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/114415
DC FieldValueLanguage
dc.contributor.authorJanela, Dora-
dc.contributor.authorCosta, Fabíola-
dc.contributor.authorWeiss, Brandon-
dc.contributor.authorAreias, Anabela C.-
dc.contributor.authorMolinos, Maria-
dc.contributor.authorScheer, Justin K-
dc.contributor.authorLaíns, Jorge-
dc.contributor.authorBento, Virgílio-
dc.contributor.authorCohen, Steven P.-
dc.contributor.authorCorreia, Fernando Dias-
dc.contributor.authorYanamadala, Vijay-
dc.date.accessioned2024-03-27T10:31:14Z-
dc.date.available2024-03-27T10:31:14Z-
dc.date.issued2023-
dc.identifier.issn2055-2076pt
dc.identifier.urihttps://hdl.handle.net/10316/114415-
dc.description.abstractBackground: Musculoskeletal conditions are the leading cause of disability worldwide. Telerehabilitation may be a viable option in the management of these conditions, facilitating access and patient adherence. Nevertheless, the impact of biofeedback- assisted asynchronous telerehabilitation remains unknown. Objective: To systematically review and assess the effectiveness of exercise-based asynchronous biofeedback-assisted telerehabilitation on pain and function in individuals with musculoskeletal conditions. Methods: This systematic review followed Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The search was conducted using three databases: PubMed, Scopus, and PEDro. Study criteria included articles written in English and published from January 2017 to August 2022, reporting interventional trials evaluating exercise-based asynchronous telerehabilitation using biofeedback in adults with musculoskeletal disorders. The risks of bias and certainty of evidence were appraised using the Cochrane tool and Grading of Recommendations, Assessment, Development, and Evaluation (GRADE), respectively. The results are narratively summarized, and the effect sizes of the main outcomes were calculated. Results: Fourteen trials were included: 10 using motion tracker technology (N=1284) and four with camera-based biofeedback (N=467). Telerehabilitation with motion trackers yields at least similar improvements in pain and function in people with musculoskeletal conditions (effect sizes: 0.19–1.45; low certainty of evidence). Uncertain evidence exists for the effectiveness of camera-based telerehabilitation (effect sizes: 0.11–0.13; very low evidence). No study found superior results in a control group. Conclusions: Asynchronous telerehabilitation may be an option in the management of musculoskeletal conditions. Considering its potential for scalability and access democratization, additional high-quality research is needed to address long-term outcomes, comparativeness, and cost-effectiveness and identify treatment responders.pt
dc.language.isoengpt
dc.publisherSAGEpt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt
dc.subjectPainpt
dc.subjectphysical therapypt
dc.subjectremote carept
dc.subjectnonsynchronous carept
dc.subjectmotion sensorspt
dc.titleEffectiveness of biofeedback-assisted asynchronous telerehabilitation in musculoskeletal care: A systematic reviewpt
dc.typearticle-
degois.publication.firstPage20552076231176696pt
degois.publication.titleDigital Healthpt
dc.peerreviewedyespt
dc.identifier.doi10.1177/20552076231176696pt
degois.publication.volume9pt
dc.date.embargo2023-01-01*
uc.date.periodoEmbargo0pt
item.openairetypearticle-
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:FMUC Medicina - Artigos em Revistas Internacionais
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This item is licensed under a Creative Commons License Creative Commons