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Developing a Holistic-Comprehensive Assessment Model: Factors Contributing to Personal Protective Equipment Compliance among Indonesian Cement Workers

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 r...

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Detalles Bibliográficos
Autores principales: Setyawan, Febri E. B., Supriyanto, Stefanus, Ernawaty, Ernawaty, Lestari, Retno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227741/
https://www.ncbi.nlm.nih.gov/pubmed/32435110
http://dx.doi.org/10.4103/ijoem.IJOEM_115_19
Descripción
Sumario: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.