Selecting Strategies to Reduce High-Risk Unsafe Work Behaviors Using the Safety Behavior Sampling Technique and Bayesian Network Analysis.
BACKGROUND: High-risk unsafe behaviors (HRUBs) have been known as the main cause of occupational accidents. Considering the financial and societal costs of accidents and the limitations of available resources, there is an urgent need for managing unsafe behaviors at workplaces. The aim of the presen...
| Publicado en: | Journal of Research in Health Sciences Vol. 17; no. 1; pp. 1 - 7 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Hamadan University of Medical Sciences, School of Public Health
Winter2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=122513053&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 122513053 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 22287795 903Q jtl: Journal of Research in Health Sciences issn: 22287795 maglogo: N pubinfo: dt: Winter2017 vid: 17 iid: 1 pid: 54266 pub: Hamadan University of Medical Sciences, School of Public Health artinfo: ui: 122513053 122513053 122513053 122513053 ppf: 1 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Selecting Strategies to Reduce High-Risk Unsafe Work Behaviors Using the Safety Behavior Sampling Technique and Bayesian Network Analysis. aug: au: Ghasemi, Fakhradin Kalatpour, Omid Moghimbeigi, Abbas Mohammadfam, Iraj affil: Center of Excellence for Occupational Health, Research Center for Health science, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran sug: subj: Construction Industry Safety Behavior Work Public Health Occupational Health Structural Equation Modeling Focus Groups Path Analysis Case Studies Data Mining Multiple Regression Literature Review Cross Sectional Studies Study Design Confidence Intervals Comparative Studies Factor Analysis Probability Data Collection Sensitivity and Specificity Questionnaires Interviews ab: BACKGROUND: High-risk unsafe behaviors (HRUBs) have been known as the main cause of occupational accidents. Considering the financial and societal costs of accidents and the limitations of available resources, there is an urgent need for managing unsafe behaviors at workplaces. The aim of the present study was to find strategies for decreasing the rate of HRUBs using an integrated approach of safety behavior sampling technique and Bayesian networks analysis. STUDY DESIGN: A cross-sectional study. METHODS: The Bayesian network was constructed using a focus group approach. The required data was collected using the safety behavior sampling, and the parameters of the network were estimated using Expectation-Maximization algorithm. Using sensitivity analysis and belief updating, it was determined that which factors had the highest influences on unsafe behavior. RESULTS: Based on BN analyses, safety training was the most important factor influencing employees' behavior at the workplace. High quality safety training courses can reduce the rate of HRUBs about 10%. Moreover, the rate of HRUBs increased by decreasing the age of employees. The rate of HRUBs was higher in the afternoon and last days of a week. CONCLUSIONS: Among the investigated variables, training was the most important factor affecting safety behavior of employees. By holding high quality safety training courses, companies would be able to reduce the rate of HRUBs significantly. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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