| Literature DB >> 31772092 |
Anne-Marthe R Indregard1, Stein Knardahl2, Jan Shahid Emberland2, Øivind Skare3, Håkon A Johannessen4.
Abstract
INTRODUCTION: There is a need to evaluate whether, and to what degree, labour inspections or other regulatory tools have the desired effects on psychosocial, organisational and mechanical work environment, and employee health. The Norwegian Labour Inspection Authority (NLIA) uses different tools and strategies to enforce compliance with occupational safety and health (OSH) legislation. The aim of the present study is to evaluate the effects of labour inspections and other regulatory tools employed by the NLIA. The home-care service is one of the fastest growing occupations and a prioritised area for the NLIA, hence the present study will investigate regulatory tools in this sector. METHODS AND ANALYSIS: The research project has been designed as a longitudinal, cluster-randomised, controlled trial and will be conducted among Norwegian home-care workers. The objective of the research project is to evaluate the effects of the NLIA's regulatory tools (inspection and guidance) on: (1) compliance with OSH legislation and regulation; (2) psychosocial, organisational and mechanical work environment; (3) employee health in terms of musculoskeletal and mental health complaints; and (4) sickness absence. Public home-care services have been randomised to three intervention groups and one control group. Home-care services in the intervention groups will receive one of three intervention activities from the NLIA: (1) inspection from the Labour Inspection Authority; (2) guidance through an online interactive risk-assessment tool; and (3) guidance on psychosocial, organisational and mechanical work environment through workshops. The interventions will be performed at the organisational level (home-care service), and the effects of the interventions on the working environment and health complaints will be measured at the individual level (home-care employees). ETHICS AND DISSEMINATION: This project has been approved by the Regional Committees for Medical and Health Research Ethics (REC) in Norway (REC South East) (2018/2003/REK sør-øst C), the Norwegian Center for Research Data (566128), and will be conducted in accordance with the World Medical Association Declaration of Helsinki. The results will be reported in international peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT03855163. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: cluster-randomised controlled trial; effect evaluation; employee health; occupational safety and health; work environment
Mesh:
Year: 2019 PMID: 31772092 PMCID: PMC6886903 DOI: 10.1136/bmjopen-2019-031226
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Illustration of the process from OSH legislation and regulation to the different outcomes. OSH, occupational safety and health.
Figure 2Flow chart illustrating the timeline of the research project.
Primary and secondary outcomes and time points for measurement
| Time points for measurement after interventions | Statistical analyses and reporting | ||||
| 6 | 12 | 15 | 20 | ||
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| Self-reported work environment | |||||
| Psychosocial and organisational working conditions | ✓ | ✓ | Differences in means using linear mixed models/continuous outcomes | ||
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| Mechanical working conditions | ✓ | ✓ | Differences in means using linear mixed models/continuous outcomes | ||
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| Self-reported health complaints | |||||
| Mental health complaints | ✓ | ✓ | Differences in means using linear mixed models/continuous outcomes | ||
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| Musculoskeletal complaints | ✓ | ✓ | Differences in means using linear mixed models/continuous outcomes | ||
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| Work ability | ✓ | ✓ | Differences in means using linear mixed models/continuous outcomes | ||
| Sickness absence* | Risk ratios using Poisson mixed models/count outcomes | ||||
| Compliance with OSH legislation | ✓ | Differences in means using t-tests/count outcomes | |||
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| Self-reported work environment | ✓ | ✓ | |||
| New technology and work-related changes, predictability during the next month, positive challenges at work | Odds ratios using mixed logistic | ||||
| Self-reported health complaints | ✓ | ✓ | |||
| sleep | Differences in means using linear mixed models/continuous outcomes | ||||
| Occupational injuries | ✓ | ✓ | Odds ratios using mixed logistic regression/dichotomous outcomes | ||
| Systematic safety and health work | ✓ | ✓ | Odds ratios using mixed logistic regression/dichotomous outcomes | ||
| Additional effects of labour inspection on work environment and health | ✓ | Differences in means using linear mixed models/continuous outcomes | |||
*Sickness absence rates will be based on doctor-certified sickness absence 1 year before and the year following the interventions.
Figure 3Percentage of the population with mental distress (HSCL-5 ≥2) according to the different population mean scores on the HSCL-5-scale. HSCL, Hopkins Symptom Checklist.