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 ORIGINAL ARTICLE
Year : 2020  |  Volume : 24  |  Issue : 1  |  Page : 19-24

Developing a holistic-comprehensive assessment model: factors contributing to personal protective equipment compliance among indonesian cement workers


1 Doctoral Program of Public Health, Faculty of Public Health, Universitas Airlangga, Mulyorejo, Surabaya; Faculty of Medicine, University of Muhammadiyah Malang, Malang, Indonesia
2 Doctoral Program of Public Health, Faculty of Public Health, Universitas Airlangga, Mulyorejo, Surabaya, Indonesia
3 Doctoral Program of Public Health, Faculty of Public Health, Universitas Airlangga, Mulyorejo, Surabaya; Study Program of Nursing Science, Faculty of Medicine, University of Brawijaya, Malang, Indonesia

Correspondence Address:
Dr. Febri E B. Setyawan
Faculty of Public Health, Universitas Airlangga, Jl. Mulyorejo, Surabaya, Jawa Timur - 60115
Indonesia
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijoem.IJOEM_115_19

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Context: Noncompliance with personal protective equipment (PPE) in industrial workers results in increased injury or illness and is commonly reported worldwide. Numerous guidelines and management policies are employed to prevent work-related health hazards, yet industrial workers still exhibit low rates of PPE compliance, especially in outsourced workers. Aims: The aim of this study was to develop a holistic-comprehensive assessment framework model summarizing the key factors in achieving the stated goals of interventions targeting PPE compliance in Indonesian cement workers. Settings and Design: An analytic observational study was conducted among 183 Indonesian cement workers from a simple random sampling technique. Methods and Material: A self-designed questionnaire was used to investigate factors influencing PPE compliance among cement workers as well as management policies in place. Statistical Analysis Used: Statistical analysis was conducted using SPSS version 24. Results were tabulated using frequency distribution and mean with a standard deviation. The logistic regression model was developed to identify the factors that affect PPE compliance. Results: The highest rate of compliance was 43.7%, a still low figure. Using correlation coefficients and logistic regression, both the behavior of the workers and the existing management policies were found to be significant contributing factors (P < 0.05). Punitive management policies were also found to be a determining factor (OR 5.22; 95% CI 1.01–1.07). Conclusions: Management policy, specifical punishment for noncompliance, was shown to be the strongest influence on PPE compliance in Indonesian cement workers.






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