Study The role of latent variables in lost working days by Structural Equation Modeling Approach
Background: Based on estimations, each year about 250 million work-related injuries and many temporary or permanent disabilities occur which most are preventable. Oil and Gas industries are among industries with high incidence of injuries in the world. The aim of this study has investigated &nbs...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Hamadan University of Medical Sciences
2016-12-01
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| Series: | Muhandisī-i bihdāsht-i ḥirfah/ī |
| Subjects: | |
| Online Access: | http://johe.umsha.ac.ir/browse.php?a_code=A-10-263-1&slc_lang=en&sid=1 |
| Summary: | Background: Based on estimations, each year about 250 million work-related injuries and many temporary or permanent disabilities occur which most are preventable. Oil and Gas industries are among industries with high incidence of injuries in the world. The aim of this study has investigated the role and effect of different risk management variables on lost working days (LWD) in the seismic projects.
Methods: This study was a retrospective, cross-sectional and systematic analysis, which was carried out on occupational accidents between 2008-2015(an 8 years period) in different seismic projects for oilfield exploration at Dana Energy (Iranian Seismic Company). The preliminary sample size of the study were 487accidents. A systems analysis approach were applied by using root case analysis (RCA) and structural equation modeling (SEM). Tools for the data analysis were included, SPSS23 and AMOS23 software.
Results: The mean of lost working days (LWD), was calculated 49.57, the final model of structural equation modeling showed that latent variables of, safety and health training factor(-0.33), risk assessment factor(-0.55) and risk control factor (-0.61) as direct causes significantly affected of lost working days (LWD) in the seismic industries (p< 0.05).
Conclusion: The finding of present study revealed that combination of variables affected in lost working days (LWD). Therefore,the role of these variables in accidents should be investigated and suitable programs should be considered for them. |
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| ISSN: | 2383-336X 2383-3378 |