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

Author:

Bellosta-López PabloORCID,Domenech-Garcia VictorORCID,Palsson Thorvaldur SkuliORCID,Christensen Steffan Wittrup,Silva Priscila de BritoORCID,Langella FrancescoORCID,Berjano Pedro,Jensen Palle Schlott,Riis Allan,Baroncini Alice,Blasco-Abadía Julia,Jiménez-Sánchez Carolina,Calvo Sandra,Jaén-Carrillo Diego,Herrero PabloORCID,Hoegh Morten

Abstract

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and prevention of work-related MSK pain do not consistently integrate current evidence-based knowledge and seem to be outdated.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.

Funder

Erasmus+ Program

Ministerio de Universidades, Spain.

Italian Ministry of Health

Gobierno de Aragón

Publisher

BMJ

Subject

General Medicine

Reference28 articles.

1. Education as a strategy for managing occupational-related musculoskeletal pain: a scoping review

2. Work ability and quality of life in patients with work-related musculoskeletal disorders;Chang;Int J Environ Res Public Health,2020

3. de Kok J , Vroonhof P , Snijders J . Work-Related musculoskeletal disorders: prevalence, costs and demographics in the EU. Luxembourg: European agency for safety and health at work, 2019. Available: https://osha.europa.eu/sites/default/files/publications/documents/Work-related_MSDs_prevalence_costs_and_demographics_in_the_EU_report.pdf

4. Parent-Thirion A , Biletta I , Cabrita J . Sixth European working conditions survey – overview report (2017 update). Luxembourg: European foundation for the improvement of living and working conditions, 2017. Available: https://www.eurofound.europa.eu/sites/default/files/ef_publication/field_ef_document/ef1634en.pdf

5. Isusi I . Work-related musculoskeletal disorders – facts and figures. Luxembourg: European agency for safety and health at work, 2020. Available: https://osha.europa.eu/sites/default/files/publications/documents/Work_related_musculoskeletal_disorders_%20Facts_and_figures.pdf

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3