A historical review of performance appraisal of public hospitals in China from the perspective of historical institutionalism

Li, Yaqing; He, Wensheng; Yang, Li; Zheng, Kang

doi:10.3389/fpubh.2022.1009780

Cited by 6 publications

(4 citation statements)

References 32 publications

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“…Relevant research has confirmed that income distribution is one of the most important aspects of hospital performance evaluation for medical staff ( 68 ). At present, there are still problems in the performance evaluation of public hospitals in China, such as emphasizing economic benefits, unreasonable indicator settings, and imperfect allocation methods ( 69 ). A series of health policies have significantly reduced hospital income while reducing the economic burden on patients, resulting in a decrease in the income of medical staff ( 70 ).…”

Section: Resultsmentioning

confidence: 99%

Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model

Li,

Meng

2024

Front. Public Health

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ObjectiveThis study explored the factors and influence degree of job satisfaction among medical staff in Chinese public hospitals by constructing the optimal discriminant model.MethodsThe participant sample is based on the service volume of 12,405 officially appointed medical staff from different departments of 16 public hospitals for three consecutive years from 2017 to 2019. All medical staff (doctors, nurses, administrative personnel) invited to participate in the survey for the current year will no longer repeat their participation. The importance of all associated factors and the optimal evaluation model has been calculated.ResultsThe overall job satisfaction of medical staff is 25.62%. The most important factors affecting medical staff satisfaction are: Value staff opinions (Q10), Get recognition for your work (Q11), Democracy (Q9), and Performance Evaluation Satisfaction (Q5). The random forest model is the best evaluation model for medical staff satisfaction, and its prediction accuracy is higher than other similar models.ConclusionThe improvement of medical staff job satisfaction is significantly related to the improvement of democracy, recognition of work, and increased employee performance. It has shown that improving these five key variables can maximize the job satisfaction and motivation of medical staff. The random forest model can maximize the accuracy and effectiveness of similar research.

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Section: Resultsmentioning

confidence: 99%

Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model

Li,

Meng

2024

Front. Public Health

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“…The simulation analysis confirms that the convergence of technological advancement benefits for hospitals is faster than that of their financial benefits. This can be attributed to the shift in focus of China’s public hospitals toward high-quality and substantive development, with sustainable operational capabilities and the construction of clinical specialties becoming key priorities in hospital development ( 66 ). This aligns with the direct settlement policy for cross-regional treatment as it provides hospitals with more elements of demand from a resource allocation perspective.…”

Section: Discussionmentioning

confidence: 99%

The cross-regional settlement methods in hospitals and the treatment-seeking behavior of patients with malignant tumors in China: an evolutionary game model

Zhao,

Li,

Zhang

2024

Front. Public Health

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BackgroundCross-regional settlement management is a key indicator of national health insurance system maturity. Given the significant demand for cross-regional medical treatment among Chinese patients with malignant tumors and the territorially managed health insurance system, further research is necessary to explore the relationship between hospital settlement methods and treatment-seeking behaviors among these patients. This study introduces and validates an evolutionary game model that provides a theoretical foundation for direct settlement policies in cross-regional treatment.MethodsAn evolutionary game model was constructed with patients and hospitals serving as strategic players within a dynamic system. This model integrates the patients’ treatment utility, medical and nonmedical costs, and hospitals’ financial and technological advancement benefits.ResultsThe evolutionary stability analysis revealed seven-game outcomes between hospitals and patients with malignant tumors. The numerical simulations suggest an evolutionary convergence toward strategy (1, 0), indicating a trend where patients with malignant tumors opt for cross-regional treatment, yet hospitals choose not to implement a direct settlement policy. Parameter sensitivity analysis showed that the parameters set in this study affected player behavioral choices and game equilibria.ConclusionA strong demand for cross-regional medical treatment among Chinese patients with malignant tumors, and some hospitals require more incentives to implement cross-regional settlements. The key factors influencing the willingness of some patients with malignant tumors to resettle include the costs of in-area medical care, costs of cross-regional treatment without direct settlement, and the utility of cross-regional treatment. Technological advancement benefits and input costs influence some hospitals’ motivation to adopt cross-regional settlements. Policy adjustments that effectively implement direct settlement policies can facilitate equilibrium, enhance the initiatives of some local health insurance management departments, improve the accessibility and efficiency of medical services, and reduce nonmedical expenses for patients.

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“…Drawing upon the perspectives on performance evaluation of public hospitals in China ( Li et al, 2022 ) and relevant literature reports ( George and Elrashid, 2023 ), we have identified a set of indicators for assessing the performance of this project, encompassing medical quality and safety, operational efficiency, and cost considerations. These indicators include:…”

Section: Methodsmentioning

confidence: 99%

Management of drug supply chain information based on “artificial intelligence + vendor managed inventory” in China: perspective based on a case study

Shen,

Bu,

et al. 2024

Front. Pharmacol.

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ObjectivesTo employ a drug supply chain information system to optimize drug management practices, reducing costs and improving efficiency in financial and asset management.MethodsA digital artificial intelligence + vendor managed inventory (AI+VMI)-based system for drug supply chain information management in hospitals has been established. The system enables digitalization and intelligentization of purchasing plans, reconciliations, and consumption settlements while generating purchase, sales, inventory reports as well as various query reports. The indicators for evaluating the effectiveness before and after project implementation encompass drug loss reporting, inventory discrepancies, inter-hospital medication retrieval frequency, drug expenditure, and cloud pharmacy service utilization.ResultsThe successful implementation of this system has reduced the hospital inventory rate to approximately 20% and decreased the average annual inventory error rate from 0.425‰ to 0.025‰, significantly boosting drug supply chain efficiency by 42.4%. It has also minimized errors in drug application, allocation, and distribution while increasing adverse reaction reports. Drug management across multiple hospital districts has been standardized, leading to improved access to medicines and enhanced patient satisfaction.ConclusionThe AI+VMI system improves drug supply chain management by ensuring security, reducing costs, enhancing efficiency and safety of drug management, and elevating the professional competence and service level of pharmaceutical personnel.

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A historical review of performance appraisal of public hospitals in China from the perspective of historical institutionalism

Cited by 6 publications

References 32 publications

Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model

Effective analysis of job satisfaction among medical staff in Chinese public hospitals: a random forest model

The cross-regional settlement methods in hospitals and the treatment-seeking behavior of patients with malignant tumors in China: an evolutionary game model

Management of drug supply chain information based on “artificial intelligence + vendor managed inventory” in China: perspective based on a case study

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