JCNRJournal of Clinical and Nursing Research2208-36852208-3693Bio-Byword Scientific Publishing Pty. Ltd.10.26689/jcnr.v9i4.10338ArticleEmpirical Study and Optimization Strategies of Psychological Support Measures for Psychiatric Medical Staffhttps://artdesignp.com/journal/JCNR/9/4/10.26689/jcnr.v9i4.10338QuFengxia,YinXianghong,LiNanyun,GaoYuxia2025942025-04-28Objective: This study adopts empirical research methods to analyze the impact of intervention measures such as psychological counseling, team building, and stress management training on the mental health of psychiatric medical staff. Methods: This study selected 211 medical staff (including doctors, nurses, and psychotherapists) from the psychiatric department of a tertiary hospital as research subjects. They were divided into an experimental group (receiving psychological support measures) and a control group (not receiving psychological support measures) according to whether they received psychological support measures. Among them, the experimental group was divided into a total of 106 patients, while the control group was divided into a total of 105 patients. After the implementation of psychological support measures, the work efficiency of both groups of patients was evaluated from three aspects: psychological health level, occupational burnout level, and job satisfaction. Results: After intervention with psychological support measures, the experimental group patients showed significantly higher levels of mental health, occupational burnout, and job satisfaction than the control group, and the above differences were statistically significant (P < 0.05). Conclusion: For psychiatric medical staff, the regular implementation of psychological support measures can significantly improve their mental health level, and on the basis of psychological support, the professional enthusiasm and job satisfaction of medical staff have been significantly improved.

Zhang Q, Shi W, Yu L, et al., 2024, Analysis of the Current Status and Influencing Factors of Occupational Quality of Life Among Psychiatric Medical Staff. China Health Standards Management, 15(24): 50–55.

Wan Q, Hu S, 2024, Exploration of Medical Technology Strategies for Psychiatric Specialized Hospitals: A Case Study of the Third People's Hospital Project in Ganzhou City. China Hospital Architecture and Equipment, 25(12): 42–46.

Guo Hao, Shi Peifang, Liu Huan The predictive value of machine learning early warning models for psychiatric violence [J]. Shanxi Medical Journal, 2024, 53 (18): 1395-1399.

Zhao X, Zhu J, Luo P, 2024, On the Advantages of Traditional Chinese Medicine in the Management of Psychiatric Wards from the Perspective of Scientific Development. Journal of Traditional Chinese Medicine Management, 32(17): 82–84.

Zhang S, Shi K, Qi Y, 2024, The Application of Traditional Chinese Medicine Cultural Concepts in Psychiatric Management. Journal of Traditional Chinese Medicine Management, 32(16): 244–246.

Zheng W, Zhao Y, Sun H, et al., 2024, Analysis of the Psychological Health Status and Influencing Factors of Medical Staff in Mental Health Specialized Hospitals after Sudden Public Health Emergencies. Psychology Monthly, 19(15): 215–217.

Han L, Huang J, Chen Y, 2024, Reflections on Traditional Chinese Medicine Culture and Technology Popularization from the Perspective of New Media. Journal of Traditional Chinese Medicine Management, 32(15): 250–252.

Liu R, Wu Y, 2024, Research Progress on Mental Health Literacy of Medical Staff. Occupational and Health, 40(17): 2444–2448.

Ma M, 2024, The Relationship Between Challenging Obstructive Stressors and Depression Among Healthcare Workers, thesis, Northwest Normal University.

Xu J, Huang L, Wang J, et al., 2024, Meta Integration of Qualitative Research on Shared Decision-Making Promotion and Obstacle Factors Among Psychiatric Medical Staff. Journal of Nursing, 31(10): 53–58.

Zhang Z, 2024, Research on the Mechanism of Psychological Health Risk Formation and Risk Management of Medical Staff, thesis, Huazhong University of Science and Technology

Cao T, Ding X, Wu S, et al., 2024, The Influencing Factors of Health Risk Stress and Prevention Measures for Injuries Among Frontline Psychiatric Medical Staff. Injury Medicine (Electronic Version), 13(01): 38–43.

Cai Y, Jiang Q, 2024, Research Progress on Attitudes of Clinical Medical Staff Towards Non-Suicidal Self-Injury Patients. Journal of Fujian Medical University (Social Sciences Edition), 25(01): 54–61, 72.

Zheng S, 2023, Research on the Evolution and Optimization Path of Mental Health Policies in China, thesis, Shandong University.

Cai Q, Ma Y, Zheng L, et al., 2023, Analysis of the Current Status of Mental Health Literacy Among Medical Staff in Jilin Province. Psychology Monthly, 18(21): 207–209.

Li L, Li S, Sun Y, et al., 2023, The Impact of Online Barinte Group on Occupational Burnout and Emotions of Psychiatric Nurses. China Medical News, 20(29): 161–165.

Sun Y, Zhiyuan S, 2023, The Relationship Between Subjective Well-Being and Depressive Symptoms Among Psychiatric Healthcare Workers. Occupational and Health, 39(19): 2668–2671.

Huang B, Lu H, 2023, How to Break Through the Dilemma of Talent Introduction in Specialized Hospitals. Human Resources, (14): 108–110.

Cao T, 2023, A Study on the Impact of Occupational Stress on Occupational Burnout Among Psychiatric Healthcare Workers: The Moderating Effects of Empathy and Personality Traits, thesis, Shenzhen University.

Gu L, Tang S, 2023, Application of Traditional Chinese Medicine Mental Health Service Management Model in Psychiatry. Journal of Traditional Chinese Medicine Management, 31(11): 191–193.