Mental health status of employees in large public hospitals and its correlation with social support and other factors
10.3760/cma.j.cn115624-20240517-00414
- VernacularTitle:公立大型医院职工心理健康现况及其与社会支持等因素的相关性
- Author:
Hongmin WANG
1
;
Guanzhou CHEN
;
Yan ZHANG
;
Zheng LI
;
Liang SUN
Author Information
1. 北京医院国家老年医学中心 中国医学科学院老年医学研究院，北京 100730
- Keywords:
Mental health;
Social support;
Hospital employees;
Demographic characteristics;
Influencing factors
- From:
Chinese Journal of Health Management
2024;18(10):783-789
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the current mental health status of employees in large public hospitals and its correlation with factors such as social support.Methods:A cross-sectional study was conducted in November 2023. Using cluster sampling, employees from Beijing Hospital, China-Japan Friendship Hospital, and the Cancer Hospital of the Chinese Academy of Medical Sciences were surveyed. An electronic questionnaire was used to collect indicators related to mental health. Mental health status was assessed using a self-evaluation questionnaire, with scores ≤6 indicating good mental health and scores ≥7 indicating the need for attention. A total of 3 828 questionnaires were distributed, and 3 803 valid responses were included in the final analysis. The study analyzed the current mental health status and its correlation with factors such as social support among the included employees. Social support indicators included living alone, frequency of contact with relatives or friends, and participation in group activities. Other factors included job type (physicians, nurses, medical technicians and researchers, and administrative and logistical employees), gender, professional title, education level, and satisfaction with workplace benefits.Results:The study included 3 803 respondents, comprising 874(23.0%) males and 2 929 (77.0%) females; 743 (19.5%) aged ≤30 years, 2 177 (57.2%) aged 31-45 years, and 883 (23.2%) aged >45 years. Among them, 1 238 (32.6%) employees needed attention for their mental health. The female, nurse, unmarried, post-graduate degree or less, and employees with low satisfaction with unit welfare need to pay attention to their mental health (all P<0.05), their total social support score ( t=138.59, P<0.001) and grade ( χ2=255.25, P<0.001) are lower. In terms of social support factors, non-living alone, frequent communication with relatives and friends and participation in group activities were independent protective factors for mental health (all P<0.05). The protective association between education and mental health of female workers was stronger than that of male workers (female OR=0.348, 95% CI: 0.198-0.614 vs male OR=0.653, 95% CI: 0.430-0.994). Non-living alone was the only protective factor for nurses′ mental health ( OR=0.515, 95% CI: 0.367-0.723); However, high professional title ( OR=0.362, 95% CI: 0.182-0.720) and educational background ( OR=0.365, 95% CI: 0.175-0.758) were only protective factors for physicians′ mental health (all P<0.05). Conclusions:The mental health of employees in large public hospitals is differentiated among different subgroups, such as gender, position and educational background, which needs attention in general. In terms of social support factors, non-living alone, frequent communication with relatives and friends, and participation in group activities were associated with good mental health. Hospital trade unions and other departments should carry out more targeted help and support to create a better mental health environment for employees.
