European knowledge alliance for innovative measures in prevention of work-related musculoskeletal pain disorders (Prevent4Work Project): Protocol for an international mixed-methods longitudinal study

Pablo Bellosta-López, Victor Domenech-Garcia, Thorvaldur Palsson, Steffan Wittrup McPhee Christensen, Priscila de Brito Silva, Francesco Langella, Pedro Berjano, Palle Schlott Jensen, Allan Riis, Alice Baroncini, Julia Blasco-Abadía, Carolina Jiménez-Sánchez, Sandra Calvo, Diego Jaén-Carrillo, Pablo Herrero, Morten Sebastian Høgh, Prevent4Work Study Group

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

10 Citationer (Scopus)
37 Downloads (Pure)

Abstract

Introduction Work-related musculoskeletal (MSK) pain is a highly prevalent condition and one of the main contributors to disability and loss of work capacity. Current approaches to the management and prevention of work-related MSK pain do not consistently integrate current evidence-based knowledge and seem to be outdated. The Prevent4Work (P4W) Project aims to collect and spread evidence-based information to improve the management and prevention of work-related MSK pain. P4W will longitudinally investigate (1) risk factors associated with the prevalence of work-related MSK pain, (2) predictive factors for new events of work-related MSK pain in the short term and (3) the modification of pain beliefs after participating in evidence-based e-learning courses. Methods and analysis This project employs a mixed-methods design with international cohorts of workers from Spain, Italy and Denmark. All participants will be assessed using self-reported variables at baseline (ie, cross-sectional design) with follow-up after 3 and 6 months (ie, prospective-predictive design). Throughout the first phase (0-3 months), all participants will be offered to self-enrol in e-learning courses on work-related MSK pain. Changes in pain beliefs (if any) will be assessed. The dataset will include sociodemographic characteristics, physical and psychological job demands, lifestyle-related factors, MSK pain history and pain beliefs. At baseline, all participants will additionally complete the P4W questionnaire developed to detect populations at high risk of suffering work-related MSK pain. Descriptive statistics, binary logistic regression, and analysis of variance will be used to identify the significant factors that influence the history of work-related MSK pain, evaluate the short-term prediction capacity of the P4W questionnaire, and investigate whether workers' participation in e-learning courses will modify their pain beliefs. Ethics and dissemination The study received ethical approval from the Ethical Committee of San Jorge University (USJ011-19/20). The results will be made available via peer-reviewed publications, international conferences and P4W official channels.

OriginalsprogEngelsk
Artikelnummere052602
TidsskriftBMJ Open
Vol/bind11
Udgave nummer9
Antal sider6
ISSN2044-6055
DOI
StatusUdgivet - 14 sep. 2021

Bibliografisk note

Funding Information:
Funding This study was funded by Erasmus+ Program (agreement no. 2018-2381/001-001, project no.19 600920-EPP-1-2018-1-ES-EPPKA2-KA). PB-L has been supported during the elaboration of the present work by the Grant CPB09/18 from 'Gobierno de Aragón' and co-financed by 'Programa Operativo FSE Aragón 2014–2020, Construyendo Europa desde Aragón' and the Grant FPU19/05237. FL, PB and AB are supported by the Italian Ministry of Health (agreement number not applicable). Disclaimer The funders did not have any role in this study. Competing interests None declared.

Publisher Copyright:
© Author(s) (or their employer(s)) 2021.

Fingeraftryk

Dyk ned i forskningsemnerne om 'European knowledge alliance for innovative measures in prevention of work-related musculoskeletal pain disorders (Prevent4Work Project): Protocol for an international mixed-methods longitudinal study'. Sammen danner de et unikt fingeraftryk.

Citationsformater