Treatment effect modifiers for return-to-work in patients with musculoskeletal disorders.

Treatment effect modifiers chronic pain musculoskeletal disorders vocational interventions

Journal

The journal of pain
ISSN: 1528-8447
Titre abrégé: J Pain
Pays: United States
ID NLM: 100898657

Informations de publication

Date de publication:
04 May 2024
Historique:
received: 20 02 2024
revised: 14 04 2024
accepted: 28 04 2024
medline: 7 5 2024
pubmed: 7 5 2024
entrez: 6 5 2024
Statut: aheadofprint

Résumé

Investigating how individual characteristics modify treatment effects can improve understanding, interpretation, and translation of trial findings. The purpose of this secondary analysis was to identify treatment effect modifiers of the MI-NAV trial, a three arm, parallel randomized controlled trial which compared motivational interviewing and stratified vocational advice intervention in addition to usual case management, to usual case management alone. This study included (n=514) participants with musculoskeletal disorders on sick leave for at least 50% of their contracted work hours for at least 7 consecutive weeks with the Norwegian Labour and Welfare Administration. Sickness absence days was the primary outcome, measured from baseline assessment date until the six-month follow-up. Potential treatment effect modifiers, identified a priori and informed by expert consultation and literature, were evaluated using linear regression models and statistical interaction tests. For motivational interviewing versus usual case management, age (mean difference -0.7, 95% confidence interval -1.5 to 0.2; P=0.13) and self-perceived health status (mean difference -0.3, 95% confidence interval -0.7 to 0.1; P=0.19) were identified as potential effect modifiers (p ≤ 0.2). For stratified vocational advice intervention versus usual case management, analgesic medication use (MD -26.2, 95% CI -45.7 to -6.7; P=0.009) was identified as a treatment effect modifier (p ≤ 0.05). These findings may assist in more targeted treatment adaptation and translation as well as the planning of future clinical trials. PERSPECTIVE: This secondary analysis of the MI-NAV trial found that analgesic medication use, age and self-perceived health may modify the effect of two vocational interventions on reducing sickness absence in people with musculoskeletal disorders.

Identifiants

pubmed: 38710259
pii: S1526-5900(24)00486-3
doi: 10.1016/j.jpain.2024.104556
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104556

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Conflicts of interest The authors declare no conflict of interests.

Auteurs

Martjie Venter (M)

Centre for Pain IMPACT, Neuroscience Research Australia, Australia. Electronic address: m.venter@neura.edu.au.

Margreth Grotle (M)

Centre for Intelligent Musculoskeletal Health, Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway; Research and Communication Unit for MSK Health (FORMI), Division of Clinical Neuroscience, Oslo University Hospital, Oslo, Norway.

Britt Elin Øiestad (BE)

Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway.

Fiona Aanesen (F)

National Institute of Occupational Health, Oslo, Norway.

Alexander Tingulstad (A)

Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway.

Tarjei Rysstad (T)

Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway.

Michael C Ferraro (MC)

Centre for Pain IMPACT, Neuroscience Research Australia, Australia; School of Health Sciences, University of New South Wales, Australia.

James H McAuley (JH)

Centre for Pain IMPACT, Neuroscience Research Australia, Australia; School of Health Sciences, University of New South Wales, Australia.

Aidan G Cashin (AG)

Centre for Pain IMPACT, Neuroscience Research Australia, Australia; School of Health Sciences, University of New South Wales, Australia.

Classifications MeSH