Physicians' Overwork Impacts Patient Satisfaction via Physician-Nurse Collaboration and Patients' Medical Risk Perception in China

在中国,医生过度劳累通过医护协作和患者对医疗风险的认知影响患者满意度。

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Abstract

BACKGROUND AND OBJECTIVE: To enhance healthcare service quality and foster harmonious doctor-patient relationships, it is necessary to explore the impact of physicians' overwork on patient satisfaction, with the mediating roles of physician-nurse collaboration and patients' medical risk perception in these relationships. METHODS: Using a stratified random sampling method, questionnaire surveys were conducted from June to September 2023 among 90 physicians and 550 inpatients in 13 Grade A tertiary public hospitals across five provinces in China. This survey collected data on physicians' overwork, physician-nurse collaboration, patient's medical risk perception, and patient satisfaction. The data were analyzed using the PROCESS macro (Model 6) in SPSS 23 to examine the chain mediation model. RESULTS: A total of 81 physicians and 512 inpatients were included. Physicians' overwork had a significant negative effect on patient satisfaction (β = -0.426, p < 0.001). Physician-nurse collaboration (β = 0.463, p < 0.001) and patients' medical risk perception (β = -0.260, p < 0.001) acted as partial mediators, accounting for 24.41% and 5.87% of the total effect, respectively. Furthermore, physicians' overwork indirectly affected patient satisfaction through a chain mediation pathway involving physician-nurse collaboration followed by patients' medical risk perception (β = -0.014, p < 0.001), accounting for 3.29% of the total effect. CONCLUSION: Physicians' overwork demonstrates a significant negative predictive effect on patient satisfaction, encompassing both direct and indirect effects mediated by physician-nurse collaboration and patients' medical risk perception. To improve healthcare quality and satisfaction, governments should address physicians' overwork and patient risk perception. Future research could explore physician-patient trust as a mediator or analyze how different dimensions of risk perception influence chain-mediated pathways.

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