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Implementation of Online Behavior Modification Techniques in the Management of Chronic Musculoskeletal Pain : A Systematic Review and Meta-Analysis.

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Implementation of Online Behavior Modification Techniques in the Management of Chronic Musculoskeletal Pain : A Systematic Review and Meta-Analysis.

dc.contributor.author	Cuenca Martínez, Ferran
dc.contributor.author	López Bueno, Laura
dc.contributor.author	Suso Martí, Luis
dc.contributor.author	Varangot Reille, Clovis
dc.contributor.author	Calatayud Villalba, Joaquín
dc.contributor.author	Herranz Gómez, Aida
dc.contributor.author	Romero Palau, Mario
dc.contributor.author	Casaña Granell, José
dc.date.accessioned	2023-05-17T13:26:32Z
dc.date.available	2023-05-17T13:26:32Z
dc.date.issued	2022
dc.identifier.citation	Cuenca Martínez, Ferran López Bueno, Laura Suso Martí, Luis Varangot Reille, Clovis Calatayud Villalba, Joaquín Herranz Gómez, Aida Romero Palau, Mario Casaña Granell, José 2022 Implementation of Online Behavior Modification Techniques in the Management of Chronic Musculoskeletal Pain : A Systematic Review and Meta-Analysis. Journal Of Clinical Medicine 11javascript:Fi 1 81
dc.identifier.uri	https://hdl.handle.net/10550/86670
dc.description.abstract	Purpose: The main aim of this systematic review and meta-analysis (MA) was to assess the effectiveness of online behavior modification techniques (e-BMT) in the management of chronic musculoskeletal pain. Methods: We conducted a search of Medline (PubMed), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, APA PsychInfo, and Psychological and Behavioral Collections, from inception to the 30 August 2021. The main outcome measures were pain intensity, pain interference, kinesiophobia, pain catastrophizing and self-efficacy. The statistical analysis was conducted using RStudio software. To compare the outcomes reported by the studies, we calculated the standardized mean difference (SMD) over time and the corresponding 95% confidence interval (CI) for the continuous variables. Results: Regarding pain intensity (vs. usual care/waiting list), we found a statistically significant trivial effect size in favor of e-BMT (n = 5337; SMD = −0.17; 95% CI −0.26, −0.09). With regard to pain intensity (vs. in-person BMT) we found a statistically significant small effect size in favor of in-person BMT (n = 486; SMD = 0.21; 95%CI 0.15, 0.27). With respect to pain interference (vs. usual care/waiting list) a statistically significant small effect size of e-BMT was found (n = 1642; SMD = −0.24; 95%CI −0.44, −0.05). Finally, the same results were found in kinesiophobia, catastrophizing, and self-efficacy (vs. usual care/waiting list) where we found a statistically significant small effect size in favor of e-BMT. Conclusions: e-BMT seems to be an effective option for the management of patients with musculoskeletal conditions although it does not appear superior to in-person BMT in terms of improving pain intensity.
dc.language.iso	eng
dc.relation.ispartof	Journal Of Clinical Medicine, 2022, vol. 11javascript:Fi, p. 1-81
dc.subject	Modificació de la conducta
dc.subject	Articulacions Malalties
dc.subject	Ossos Malalties
dc.title	Implementation of Online Behavior Modification Techniques in the Management of Chronic Musculoskeletal Pain : A Systematic Review and Meta-Analysis.
dc.type	journal article
dc.date.updated	2023-05-17T13:26:34Z
dc.identifier.doi	10.3390/jcm11071806
dc.identifier.idgrec	158512
dc.rights.accessRights	open access