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

Autor: Priscila de Brito Silva, Allan Riis, Diego Jaén-Carrillo, Pablo Herrero, Julia Blasco-Abadía, Pedro Berjano, Morten Hoegh, Carolina Jiménez-Sánchez, Steffan Wittrup Christensen, Thorvaldur Skuli Palsson, Víctor Doménech-García, Francesco Langella, Palle S. Jensen, Alice Baroncini, Pablo Bellosta-López, Sandra Calvo
Rok vydání: 2021
Předmět:
Zdroj: Bellosta-López, P, Domenech-Garcia, V, Palsson, T, Christensen, S W M, de Brito Silva, P, Langella, F, Berjano, P, Schlott Jensen, P, Riis, A, Baroncini, A, Blasco-Abadía, J, Jiménez-Sánchez, C, Calvo, S, Jaén-Carrillo, D, Herrero, P, Høgh, M S & Prevent4Work Study Group 2021, ' European knowledge alliance for innovative measures in prevention of work-related musculoskeletal pain disorders (Prevent4Work Project) : Protocol for an international mixed-methods longitudinal study ', BMJ Open, vol. 11, no. 9, e052602 . https://doi.org/10.1136/bmjopen-2021-052602, https://doi.org/10.1136/bmjopen-2021-052602
BMJ Open, Vol 11, Iss 9 (2021)
BMJ Open
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2021-052602
Popis: IntroductionWork-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and prevention of work-related MSK pain do not consistently integrate current evidence-based knowledge and seem to be outdated.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 analysisThis 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 disseminationThe 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.
Databáze: OpenAIRE