835 Occupational health and safety management in thai hospital

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Abstract

Introduction

Statistic showed that hospital is the most hazardous workplace. More than 3 00 000 healthcare workers were employed in approximately 2627 public and 321 private hospitals in Thailand.

Methods

The cross-sectional study aimed to investigate the occupational health and safety management in five Thai hospitals. The questionnaire consisted of characteristic of healthcare workers both working directly with patient such as inpatient, out- patient and not working directly with patients such as nutrition service and hospital supporting service departments, accident statistics and occupational health and safety management.

Results

The result showed that healthcare workers in inpatient department had highest percentage reporting all 29 items of occupational health and safety management such as having safety policy, communication of policy to staff, having safety committee meeting, alarm system preparedness, fire prevention and protection preparedness, personal protective equipment provided, etc. followed by out-patient, nutrition service and hospital supporting service departments. The accident in the past three months indicated that the accident of sharp injury and falling from slippery floor in the nutrition service were 57.7% and 26.9%, respectively. Furthermore, the comparison of the accident of sharp injury and falling from slippery floor of nutrition service with other departments was statistically significant different (p<0.001). The accident of needle stick and contact with chemicals, body fluid in surgery and anaesthesia department were 26.9% and 11.5%, respectively. The comparison of needle stick and contact with chemicals, body fluid of surgery and anaesthesia department with other departments was statistically significant different that were p<0.001 and p=0.024, respectively.

Conclusion

The situations of occupational health and safety management in Thai hospital were crucial for problem recognition and making the further control measure

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