Developing a framework of non-fatal occupational injury surveillance for risk control in palm oil mills

Ruslan, Rumaizah (2018) Developing a framework of non-fatal occupational injury surveillance for risk control in palm oil mills. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.


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Non-fatal occupational injury (NFOI) and its risk factors have become a current global concern. The need of research towards the relationship between occupational injury and its risk factor is essential, to fulfil the purpose and setting the priority of implementing safety preventive approaches at workplace. This research intended to develop a framework of NFOI surveillance by using epidemiological data, noise exposure data and NFOI data among palm oil mills’ workers. A total of 420 respondents who assigned in operation and processing areas (OP) (n=333) and general or office workers (n=87) had voluntary participated in this research. A questionnaire session with respondents was held to obtain epidemiological data and NFOI information via validated questionnaire. Noise hazard monitoring was executed by using Sound Level Meter (SLM) for environmental noise monitoring and Personal Sound Dosimeter for personal noise monitoring. Gathered data were analysed in quantitative method by using statistical software IBM SPSS Statistic version 21 and a risk matrix table for injury risk rating evaluation. It was discovered that high noise exposure level (≥ 85 dB[A]) was significantly associated with non-fatal occupational injury among OP workers (φ=0.123, p<0.05) with OR=1.87 (95% CI, 1.080-3.235, p<0.05). Risk rating for reported NFOI was at moderate level, with minor cuts and scratches were the dominant type of injury (42.6%). Analysis of logistic regression indicated that working in shift, not wearing protective gloves, health problems such as shortness of breath and ringing in ears, and excessive noise level (≥ 85 dB[A]) were the risk factors of NFOI in palm oil mills among OP workers. A framework of nonfatal injury surveillance in palm oil mills was developed based on the findings with integration of risk management process and injury prevention principles. This framework is anticipated to help the management in decision making for preventive actions and early detection of occupational health effects among workers.

Item Type: Thesis (Doctoral)
Subjects: T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering
Divisions: Faculty of Engineering Technology > Department of Civil Engineering Technology
Depositing User: Mrs. Sabarina Che Mat
Date Deposited: 14 Jul 2021 01:56
Last Modified: 14 Jul 2021 01:56

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