A Study on the the Preferences for Professional Risks Insurance among Healthcare Professionals in Tertiary Hospitals in China: Based on a Discrete Choice Experiment from 9 Hospitals in Shandong Province

Corresponding author: Gaohongxia, gaohongxia@hust.edu.cn

DOI: 10.12201/bmr.202502.00052

•  

  Abstract: Objective: To investigate the preferences for professional risks insurance among healthcare professionals in Chinese tertiary hospitals, providing a reference for understanding core demands and formulating personalized insurance plans. Methods: A questionnaire survey was conducted among 187 healthcare professionals from 9 tertiary hospitals in Shandong Province using a combination of stratified and convenience sampling. Mixed Logit models and the joint utility method were employed for analysis of the overall sample and clinical/non-clinical subgroups. Results: The mixed Logit model revealed that the type of compensation, insurance platform, and insurance duration significantly influenced the insurance attribute preferences of healthcare professionals (p < 0.05), with the type of compensation having the greatest impact (β=0.220). The joint utility analysis indicated that insurance duration was of the highest relative importance (39%), while the premium amount was of the least importance (4%). In subgroup analysis, for clinical professionals, the type of compensation and insurance duration significantly influenced insurance attribute preferences, with the type of compensation having the greatest impact (β=0.277), followed by insurance duration. For non-clinical professionals, the premium amount and insurance platform were significant factors, with the premium amount being the most influential. Conclusion: Efficiency is a common core consideration for healthcare professionals when choosing insurance preferences, while economic factors are not central to the considerations of clinical professionals. The influence and role of medical associations in ensuring professional risks need to be enhanced. It is suggested that future insurance products should fully consider the differences in the scope of practice, target certain attributes for enhancement, and strengthen the influence of medical associations in ensuring professional risks.

  Key words: Professional Risks; Preference Research; Tertiary Hospitals; Discrete Choice Experiment

  Submit time: 24 February 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• LI Xin-yan, ZHANG Yue, SUN Yu-xin, LIN Xing, HAN You-li.. A study on the job preferences and heterogeneity of medical students from different birthplaces: A discrete choice experiment based on six hospitals in Beijing. 2024. doi: 10.12201/bmr.202402.00002

  Zhang Lijiang, WEI qI, Sun Jianwei, Meng Yong. Research on the preference of doctors in public hospitals to carry out Internet diagnosis and treatment services -- Based on discrete selection experiment. 2022. doi: 10.12201/bmr.202212.00004

  TUO Ze-gui, CHEN Si-si, CHEN Yi-xuan, YAN Hao, SHI Xue-feng. A study of job selection preferences of CDC staffs at the prefectural-levels in Shandong Province: based on a discrete choice experiment. 2024. doi: 10.12201/bmr.202402.00003

  wuxiaolu, zhangzhiguo. Research on Online Psychological Consultation Users’ Preference for Doctor Selection——Based on the Discrete Choice Experiment. 2021. doi: 10.12201/bmr.202102.00006

  wu mengqiu, li yuhan, ma chengyu. Study on physicians’ choice preference for internet diagnosis and treatment services based on discrete choice experiments. 2023. doi: 10.12201/bmr.202303.00009

  GENG Minghui, SUN Jiaying, MOU Yifan, LUO Jinping, ZHANG Baoxuan, YIN Wenqiang, CHEN Zhongming, MA Dongping. Family doctors of chronic disease comorbid patients based on discrete choice experimentresearch on preference of contract service selection. 2024. doi: 10.12201/bmr.202412.00002

  tongxiyang, lihongyu, sujun, zhangjinxin, zhaoshichao, sunxiaojie. Comparison of Patient Trust Patterns between Tertiary Hospitals and Primary Healthcare Institutions: A Mixed Research Based on Interviews and Survey Experiments. 2024. doi: 10.12201/bmr.202405.00005

  chenyixuan, shixuefeng, yangwanjin, gengxinqi, niehanlin, mamingli, niuxiaowei, wangyaoqi. Preferences for Achievements Transformation of Hospital Traditional Chinese Medicine（TCM） Preparation Among Medical Staff in TCM hospitals in Beijing. 2025. doi: 10.12201/bmr.202512.00002

  SHANZHIYI, anxinying. Research Efficiency of Tertiary Hospitals in Shenzhen based on Stochastic Frontier Analysis Model. 2022. doi: 10.12201/bmr.202208.00001

  gaozhan, gaoyan, hanjiuyang, zhaoliang. Mining of Diagnosis and Treatment Data for the Study of Developmental Strategy of Departments of Grade III Level A Hospitals. 2021. doi: 10.12201/bmr.202105.00006

• ID	Submit time	Number	Download
  1	2024-12-10	10.12201/bmr.202502.00052V1	Download

• Public  Anonymous  To author only Submit Comments