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Evaluating Real-World Adherence and Effectiveness of the "Reboot Online" Program for the Management of Chronic Pain in Routine Care.
Lim, Derek Z; Newby, Jill M; Gardner, Tania; Haskelberg, Hila; Schultz, Regina; Faux, Steven G; Shiner, Christine T.
Afiliação
  • Lim DZ; Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Newby JM; Department of Pain Medicine, St Vincent's Hospital, Sydney, NSW, Australia.
  • Gardner T; Clinical Research Unit for Anxiety and Depression (CRUfAD), University of New South Wales and St Vincent's Hospital, Sydney, NSW, Australia.
  • Haskelberg H; School of Psychology, University of New South Wales, Sydney, NSW, Australia.
  • Schultz R; Department of Pain Medicine, St Vincent's Hospital, Sydney, NSW, Australia.
  • Faux SG; Clinical Research Unit for Anxiety and Depression (CRUfAD), University of New South Wales and St Vincent's Hospital, Sydney, NSW, Australia.
  • Shiner CT; Department of Pain Medicine, St Vincent's Hospital, Sydney, NSW, Australia.
Pain Med ; 22(8): 1784-1792, 2021 08 06.
Article em En | MEDLINE | ID: mdl-33729536
ABSTRACT

OBJECTIVE:

Chronic pain is a prevalent and disabling condition. Reboot Online was developed as a multidisciplinary and widely accessible online treatment program for chronic pain. It has been shown to be effective in clinical trials, but the effectiveness of this program in routine care settings remains unknown. This study aimed to examine program adherence and effectiveness in a real-world sample of participants completing Reboot Online in the community. DESIGN AND

SUBJECTS:

A retrospective cohort study was conducted using real-world data from participants referred the Reboot Online program by clinicians as part of their routine care, from April 2017 to April 2019.

METHODS:

Routinely collected data on program adherence, participant demography and clinical outcomes were included in the analyses. Measures included the Pain Self Efficacy Questionnaire, Brief Pain Inventory, Tampa Scale of Kinesiophobia, Pain-Disability Index, and Patient Health Questionnaire 9-item (depression). Logistic regression was used to investigate whether certain factors predict program adherence (completion versus noncompletion), and linear mixed models were used to examine effectiveness.

RESULTS:

In total, 867 participants were included in the analyses, and 583 engaged with at least one Reboot Online lesson. Of these, 42% (n = 247) completed the course in its entirety, with rurality and lower Tampa scores being significant predictors of adherence. Completers demonstrated significant improvements across all outcome measures (effect sizes ranging from 0.22 to 0.51).

CONCLUSIONS:

Reboot Online is an effective treatment for chronic pain in the routine care setting. Adherence was variable (overall 42%), and could be predicted by rurality and less fear of movement at baseline.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dor Crônica Tipo de estudo: Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dor Crônica Tipo de estudo: Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article