병원조직 구성원이 인식한 첨단기술에 대한 변화불안 유형과 소진의 차이: 잠재프로파일 분석
Profiles of Technology-Related Change Anxiety and Differences in Burnout Among Hospital Employees: A Latent Profile Analysis
최지현(고려대학교)
20권 1호, 1~11쪽
초록
The purpose of this study was to analyze the profiles of technology-related change anxiety among medical professionals in hospital organizations as medical environments become increasingly advanced and technologically driven. Specifically, this study aimed to identify latent profiles of change anxiety, examine their predictors, and investigate differences in burnout across profiles to inform strategies for improving the well-being of medical professionals. This study used the 7th wave data provided by the Occupational Safety and Health Research Institute (2025). A total of 758 responses from physicians, nurses, and medical technicians were analyzed using latent profile analysis. The results are as follows. (a) Three profiles of change anxiety regarding advanced technologies perceived by hospital employees were identified: a low-anxiety group (25.3%, n = 192), a moderate-anxiety group (51.1%, n = 387), and a high-anxiety group (23.6%, n = 179). (b) The predictors of change anxiety profiles were age, work–family conflict, job automation, and job satisfaction. Individuals who were relatively younger, experienced higher work–family conflict, had a greater proportion of automated tasks, and reported lower job satisfaction were more likely to belong to the high-anxiety group. (c) There were significant differences in burnout across the profiles, with higher levels of change anxiety associated with higher levels of burnout. These findings suggest that hospital organizations should implement effective change management strategies to improve the well-being of medical professionals and the quality of medical and healthcare services. In particular, targeted interventions should be prioritized for the high-anxiety group.
Abstract
The purpose of this study was to analyze the profiles of technology-related change anxiety among medical professionals in hospital organizations as medical environments become increasingly advanced and technologically driven. Specifically, this study aimed to identify latent profiles of change anxiety, examine their predictors, and investigate differences in burnout across profiles to inform strategies for improving the well-being of medical professionals. This study used the 7th wave data provided by the Occupational Safety and Health Research Institute (2025). A total of 758 responses from physicians, nurses, and medical technicians were analyzed using latent profile analysis. The results are as follows. (a) Three profiles of change anxiety regarding advanced technologies perceived by hospital employees were identified: a low-anxiety group (25.3%, n = 192), a moderate-anxiety group (51.1%, n = 387), and a high-anxiety group (23.6%, n = 179). (b) The predictors of change anxiety profiles were age, work–family conflict, job automation, and job satisfaction. Individuals who were relatively younger, experienced higher work–family conflict, had a greater proportion of automated tasks, and reported lower job satisfaction were more likely to belong to the high-anxiety group. (c) There were significant differences in burnout across the profiles, with higher levels of change anxiety associated with higher levels of burnout. These findings suggest that hospital organizations should implement effective change management strategies to improve the well-being of medical professionals and the quality of medical and healthcare services. In particular, targeted interventions should be prioritized for the high-anxiety group.
- 발행기관:
- 경영연구원
- 분류:
- 의료경영