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Validation of newly developed and redesigned key indicator methods for assessment of different working conditions with physical workloads based on mixed-methods design: a study protocol

INTRODUCTION: The impact of work-related musculoskeletal disorders is considerable. The assessment of work tasks with physical workloads is crucial to estimate the work-related health risks of exposed employees. Three key indicator methods are available for risk assessment regarding manual lifting,...

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Autores principales: Klussmann, Andre, Liebers, Falk, Brandstädt, Felix, Schust, Marianne, Serafin, Patrick, Schäfer, Andreas, Gebhardt, Hansjürgen, Hartmann, Bernd, Steinberg, Ulf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Open 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724210/
https://www.ncbi.nlm.nih.gov/pubmed/28827239
http://dx.doi.org/10.1136/bmjopen-2016-015412
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author Klussmann, Andre
Liebers, Falk
Brandstädt, Felix
Schust, Marianne
Serafin, Patrick
Schäfer, Andreas
Gebhardt, Hansjürgen
Hartmann, Bernd
Steinberg, Ulf
author_facet Klussmann, Andre
Liebers, Falk
Brandstädt, Felix
Schust, Marianne
Serafin, Patrick
Schäfer, Andreas
Gebhardt, Hansjürgen
Hartmann, Bernd
Steinberg, Ulf
author_sort Klussmann, Andre
collection PubMed
description INTRODUCTION: The impact of work-related musculoskeletal disorders is considerable. The assessment of work tasks with physical workloads is crucial to estimate the work-related health risks of exposed employees. Three key indicator methods are available for risk assessment regarding manual lifting, holding and carrying of loads; manual pulling and pushing of loads; and manual handling operations. Three further KIMs for risk assessment regarding whole-body forces, awkward body postures and body movement have been developed de novo. In addition, the development of a newly drafted combined method for mixed exposures is planned. All methods will be validated regarding face validity, reliability, convergent validity, criterion validity and further aspects of utility under practical conditions. METHODS AND ANALYSIS: As part of the joint project MEGAPHYS (multilevel risk assessment of physical workloads), a mixed-methods study is being designed for the validation of KIMs and conducted in companies of different sizes and branches in Germany. Workplaces are documented and analysed by observations, applying KIMs, interviews and assessment of environmental conditions. Furthermore, a survey among the employees at the respective workplaces takes place with standardised questionnaires, interviews and physical examinations. It is intended to include 1200 employees at 120 different workplaces. For analysis of the quality criteria, recommendations of the COSMIN checklist (COnsensus-based Standards for the selection of health Measurement INstruments) will be taken into account. ETHICS AND DISSEMINATION: The study was planned and conducted in accordance with the German Medical Professional Code and the Declaration of Helsinki as well as the German Federal Data Protection Act. The design of the study was approved by ethics committees. We intend to publish the validated KIMs in 2018. Results will be published in peer-reviewed journals, presented at international meetings and disseminated to actual users for practical application.
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spelling pubmed-57242102017-12-19 Validation of newly developed and redesigned key indicator methods for assessment of different working conditions with physical workloads based on mixed-methods design: a study protocol Klussmann, Andre Liebers, Falk Brandstädt, Felix Schust, Marianne Serafin, Patrick Schäfer, Andreas Gebhardt, Hansjürgen Hartmann, Bernd Steinberg, Ulf BMJ Open Occupational and Environmental Medicine INTRODUCTION: The impact of work-related musculoskeletal disorders is considerable. The assessment of work tasks with physical workloads is crucial to estimate the work-related health risks of exposed employees. Three key indicator methods are available for risk assessment regarding manual lifting, holding and carrying of loads; manual pulling and pushing of loads; and manual handling operations. Three further KIMs for risk assessment regarding whole-body forces, awkward body postures and body movement have been developed de novo. In addition, the development of a newly drafted combined method for mixed exposures is planned. All methods will be validated regarding face validity, reliability, convergent validity, criterion validity and further aspects of utility under practical conditions. METHODS AND ANALYSIS: As part of the joint project MEGAPHYS (multilevel risk assessment of physical workloads), a mixed-methods study is being designed for the validation of KIMs and conducted in companies of different sizes and branches in Germany. Workplaces are documented and analysed by observations, applying KIMs, interviews and assessment of environmental conditions. Furthermore, a survey among the employees at the respective workplaces takes place with standardised questionnaires, interviews and physical examinations. It is intended to include 1200 employees at 120 different workplaces. For analysis of the quality criteria, recommendations of the COSMIN checklist (COnsensus-based Standards for the selection of health Measurement INstruments) will be taken into account. ETHICS AND DISSEMINATION: The study was planned and conducted in accordance with the German Medical Professional Code and the Declaration of Helsinki as well as the German Federal Data Protection Act. The design of the study was approved by ethics committees. We intend to publish the validated KIMs in 2018. Results will be published in peer-reviewed journals, presented at international meetings and disseminated to actual users for practical application. BMJ Open 2017-08-21 /pmc/articles/PMC5724210/ /pubmed/28827239 http://dx.doi.org/10.1136/bmjopen-2016-015412 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Occupational and Environmental Medicine
Klussmann, Andre
Liebers, Falk
Brandstädt, Felix
Schust, Marianne
Serafin, Patrick
Schäfer, Andreas
Gebhardt, Hansjürgen
Hartmann, Bernd
Steinberg, Ulf
Validation of newly developed and redesigned key indicator methods for assessment of different working conditions with physical workloads based on mixed-methods design: a study protocol
title Validation of newly developed and redesigned key indicator methods for assessment of different working conditions with physical workloads based on mixed-methods design: a study protocol
title_full Validation of newly developed and redesigned key indicator methods for assessment of different working conditions with physical workloads based on mixed-methods design: a study protocol
title_fullStr Validation of newly developed and redesigned key indicator methods for assessment of different working conditions with physical workloads based on mixed-methods design: a study protocol
title_full_unstemmed Validation of newly developed and redesigned key indicator methods for assessment of different working conditions with physical workloads based on mixed-methods design: a study protocol
title_short Validation of newly developed and redesigned key indicator methods for assessment of different working conditions with physical workloads based on mixed-methods design: a study protocol
title_sort validation of newly developed and redesigned key indicator methods for assessment of different working conditions with physical workloads based on mixed-methods design: a study protocol
topic Occupational and Environmental Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5724210/
https://www.ncbi.nlm.nih.gov/pubmed/28827239
http://dx.doi.org/10.1136/bmjopen-2016-015412
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