The Second People’s Hospital of Yibin was taken over by West China Hospital of Sichuan University into its close hospital alliance, and simultaneously undertook the task of construction of regional hospital alliance in Yibin city. The article introduces the experiences of the Second People’s Hospital of Yibin in the high-quality development of novel healthcare system. Led by West China Hospital of Sichuan University and based on all-level medical institutions in Yibin, the Second People’s Hospital of Yibin preliminarily established a four-level hierarchical medical system as “province, city, county, village” model, according to the guide of governments within the whole region. It aims to propose a “Yibin model exploration” in hospital alliance construction based on the western regional situation.
Objective To establish a cooperative decision-making model of county-level public hospitals, so as to freely select the best partner in different decision-making units and promote the optimal allocation of medical resources. Methods The input and output data of 10 adjacent county-level public hospitals in Henan province from 2017 to 2019 was selected. Based on the traditional data envelopment analysis (DEA) model, a generalized fuzzy DEA cooperative decision-making model with better applicability to fuzzy indicators and optional decision-making units was constructed. By inputting index information such as total number of employees, number of beds, annual outpatient and emergency volume, number of discharged patients, total income and hospital grade evaluation, the cooperation efficiency intervals of different hospitals were calculated to scientifically select the best partner in different decision-making units.Results After substituting the data of 10 county-level public hospitals in H1-H10 into the model, taking H2 hospital as an example to make cooperative decision, among the four hospitals in H1, H2, H7 and H10 of the same scale, under optimistic circumstances, the best partner of H2 hospital was H7 hospital, and the cooperation efficiency value was 1.97; in a pessimistic situation, the best partner of H2 hospital was H10 hospital, and the cooperation efficiency value was 0.98. The model had good applicability in the cooperative decision-making of county-level public hospitals. Conclusion The generalized fuzzy DEA model can better evaluate the cooperative decision-making analysis between county-level public hospitals.
As the implementation of the high-quality development policy of public hospitals is faced with the problems of diversified environment and the coordination of execution of complex actors, the network structure has changed from the closed resistance type to the open competition type. At present, China’s high-quality development policy of public hospitals needs to improve the policy system and refine the top-level design; strengthen the executive power of network entities and innovate the joint governance mechanism; optimize the structure of policy tools to improve the resilience and flexibility of the network; implement the performance evaluation mechanism and strengthen supervision. This article is based on policy network theory and provides an in-depth analysis of the current high-quality development policy texts for public hospitals in China, with the aim of providing suggestions for policy development
Objective To explore the influencing factors of the usage behavior of the scientific research management system and provide references for hospitals in constructing scientific research management systems. Methods Data were collected through questionnaires in April 2024. Based on the unified theory of acceptance and use of technology (UTAUT), the information system success model, and the self-efficacy theory, a research model on the influencing factors of the usage behavior of the scientific research management system among medical staff was constructed from the dual perspectives of users and information systems. The structural equation model was utilized to explore the influencing factors of the usage behavior of the scientific research management system. Results A total of 527 questionnaires were collected. Among them, there were 157 males and 370 females. The overall Cronbach α coefficient of the questionnaire was 0.916, and the KMO value was 0.896. For Bartlett’s test of sphericity (P<0.001). The composite reliability of each latent variable was greater than 0.7, and the average variance extracted was greater than 0.5. Therefore, this questionnaire had good reliability and validity. The research showed that information quality, performance expectancy, effort expectancy, and system quality all had significant positive impacts on the usage intention of users of the scientific research management system (P<0.05). Meanwhile, facilitating conditions and usage intention both had significant positive impacts on the usage behavior of users (P<0.05). Conclusions The construction of the scientific research management system should be guided by management needs, comprehensively sort out the general scientific research work needs of medical staff. Through the apply information-based means, various forms of training, and strengthening policy guidance, the aim is to improve the intelligence level of system operations, enhance the convenience of user self-service, and promote the effective construction of the ecosystem of the scientific research management system.
Objective To investigate the influencing factors on the promotion and appointment of reserve management talents in public hospitals, providing references for the full-cycle management of these talents. Methods A case-control study was conducted on reserve management talents at West China Hospital of Sichuan University from 2016 to 2023 to explore factors associated with their promotion and appointment. Results A total of 348 reserve management talents were included, with 102 in the promoted group and 246 in the non-promoted group. Univariate analysis revealed that age, academic degree, length of hospital service, employment type, professional title, supervisor type, and whether serving as a medical team leader were significantly associated with promotion (P<0.05). Multivariate logistic regression analysis revealed that reserve management talent category [part-time project supervisor vs. part-time dean’s assistant: odds ratio (OR)=0.050, 95% confidence interval (CI) (0.004, 0.594), P=0.018], doctoral degree [OR=9.279, 95%CI (2.626, 32.792), P=0.001], >10 years of hospital service [OR=3.598, 95%CI (1.892, 6.842), P<0.001], and supervisor type [master’s supervisor vs. non-supervisor: OR=2.234, 95%CI (1.148, 4.349), P=0.018; doctoral supervisor vs. non-supervisor: OR=7.604, 95%CI (2.882, 20.061), P<0.001] as independent predictors of promotion. Conclusion Reserve management talent category, advanced academic degrees (doctorate), longer service duration (>10 years), and qualification as a graduate supervisor are independent predictors of promotion to management positions, highlighting the competitive advantage of candidates with academic credentials, practical experience, and competencies in both teaching and administration.