Quality Improvement in Health Care (한국의료질향상학회지)

Korean Society for Quality in Health Care (한국의료질향상학회)
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Safety Attitudes among Vietnamese Medical Staff in a Vietnam Disadvantaged Area: Latent Class Analysis

  • Thang Huu Nguyen (School for Preventive Medicine and Public Health, Hanoi Medical University) ;
  • Thanh Hai Pham (School for Preventive Medicine and Public Health, Hanoi Medical University) ;
  • Hue Thi Vu (International school, Vietnam National University) ;
  • Minh-Nguyet Thi Doan (School for Preventive Medicine and Public Health, Hanoi Medical University) ;
  • Huong Thanh Tran (School for Preventive Medicine and Public Health, Hanoi Medical University) ;
  • Mai Phuong Nguyen (Hanoi Medical University)
  • Received : 2023.03.11
  • Accepted : 2024.02.29
  • Published : 2024.06.30
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Abstract

Purpose: We conducted this study with the aim of characterizing safety attitudes (SA) among medical staff in a disadvantaged area of Vietnam and examining associated factors with SA. Methods: A cross-sectional survey was conducted on 442 health staff members at four hospitals in Son La Province from June until August 2021. We used the Vietnamese shortened edition of the Safety Attitudes Questionnaire to measure the SA of study participations. We chose latent class analysis (LCA) to identifying the number of latent classes of SA among the study subjects. Multinomial logistic regression was used to examine factors associated with the identified SA classes. Results: The results of our LCA showed that there were three latent classes, namely high SA group (n=150, 33.9%), moderate SA group (n=236, 53.4%), and low SA group (n=56, 12.7%). The multinomial logistic regression analysis found that medical staff who had university education and above, who were nurses, and who served in non-clinical areas were more likely to be in the moderate SA group and in the high SA group than in the low SA group. Conclusion: Based on these results, several recommendations could be made to improve the SA of healthcare workers in disadvantaged areas. Further research with larger sample sizes and more diverse populations is needed to confirm these findings and to develop effective interventions to improve the SA of healthcare workers in disadvantaged areas.

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