Novrikasari, Novrikasari (2023) Determinan kecelakaan kerja pada peserta BPJS ketenagakerjaan cabang Palembang_Artikel. Holistik Jurnal Kesehatan, 16 (7). ISSN 2620-7478
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Abstract
Background: Causing injury or pain (depending on the severity), even death. The ILO estimates that 2.34 million people died due to 86 percent due to work-related diseases and 14 percent due to work-related accidents. Data from the Employees' Social Security System in Palembang Region, it is known that there are 10,334 work accident insurance claims in 2021. Purpose: To analyze the most dominant factor causing the number of work accidents in Employees' Social Security System members in Palembang Method: An analytic descriptive study with a cross-sectional approach. The sample in this study was all Employees of Social Security System members in Palembang Branch who experienced work accidents n=1856. This study uses secondary data obtained from reporting Employees of the Social Security System in 2021. Data analysis includes univariate analysis, bivariate analysis using the chi-square statistical test, and multivariate analysis using the logistic regression statistical test. Results: Showed that 3.6 percent of workers had serious work accidents, 84.4 percent of workers had moderate work accidents, and 12 percent of workers had mild work accidents. There is a significant relationship between age (p-value=0.007; OR=2.007), type of participation (p-value=0.025; OR=2.936), work environment risk (pvalue=0.0001), work location (p-value=0.046; OR=1.705), and unsafe conditions (p-value=0.044; OR=1.808) with the level of work accidents. The most dominant factor affecting the level of work accidents is unsafe conditions. Conclusion: There is a correlation between age, work environment risks, accident locations, and unsafe conditions with work accidents, while length of work is confounding. The most dominant factor in the accident rate is unsafe conditions
Item Type: | Article |
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Subjects: | R Medicine > RA Public aspects of medicine > RA565-600 Environmental health. Including sewage disposal, air pollution, nuisances, |
Divisions: | 10-Faculty of Public Health > 13101-Public Health Science (S2) |
Depositing User: | Dr Novrikasari Novrikasari |
Date Deposited: | 27 Feb 2023 05:30 |
Last Modified: | 27 Feb 2023 05:30 |
URI: | http://repository.unsri.ac.id/id/eprint/89253 |
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