ArticleFrontiers in public health2022
Levels, trends, and determinants of effectiveness on the hierarchical medical system in China: Data envelopment analysis and bootstrapping truncated regression analysis.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 24 citations in OpenAlex.
- Evaluation of equity and efficiency in health resource allocation in underdeveloped county areas: empirical research from Guangxi, China.BMC health services research · 2026Article
- Policy Levers for First-Contact Healthcare Provider Choice: A Discrete Choice Experiment in Shanghai's Hierarchical Medical System.Applied health economics and health policy · 2026Article
- Social network analysis of stakeholders in China's hierarchical medical system: toward a collaborative governance framework for enhanced integration.Frontiers in public health · 2026Article
- Exploring the effectiveness of proactive service models in preventing medical disputes and petitions: a pilot investigation using a before-and-after design at a single center in Hangzhou, China.Frontiers in public health · 2026Observational
- Efficiency assessment and demand forecasting in China's primary healthcare system: a comprehensive SBM-DDF-GML analysis.Frontiers in public health · 2026Article
- The impact of the hierarchical medical system on medical resource allocation in China.Scientific reports · 2025Article
- Enhancing Efficiency in Multi-Stage Pharmaceutical Manufacturing: A Process-Based Network DEA Approach.F1000Research · 2025Article
- Does an innovative case-based payment scheme promote the hierarchical medical system? A tripartite evolutionary game analysis.International journal for equity in health · 2024Article
- Sustainable Implementation of Physician-Pharmacist Collaborative Clinics for Diabetes Management in Primary Healthcare Centers: A Qualitative Study.Journal of epidemiology and global health · 2024Article
- Efficiency evaluation and promoter identification of primary health care system in China: an enhanced DEA-Tobit approach.BMC health services research · 2024Article
- New evidence on the real role of digital economy in influencing public health efficiency.Scientific reports · 2024Article
- Health resource allocation within the close-knit medical consortium after the Luohu healthcare reform in China: efficiency, productivity, and influencing factors.Frontiers in public health · 2024Article
- Evaluating the efficiency of primary health care institutions in China: an improved three-stage data envelopment analysis approach.BMC health services research · 2023Article
- Agent-Based Modeling and Simulation (ABMS)on the influence of adjusting medical service fees on patients' choice of medical treatment.BMC health services research · 2023Article
- Assessing resource allocation based on workload: a data envelopment analysis study on clinical departments in a class a tertiary public hospital in China.BMC health services research · 2023Article
- Analyzing the efficiency of Chinese primary healthcare institutions using the Malmquist-DEA approach: Evidence from urban and rural areas.Frontiers in public health · 2023Article
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4 authors at 3 institutions in 1 country.
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Abstract
Background: The hierarchical medical system (HMS) refers to the classification of treatment according to disease priorities based on severity and difficulty to promote the fairness of medical services for residents, which is regarded as the key to the success of medical reform in China. Methods: In the past decade of "New Medical Reform," the efficiency of HMS, including secondary and tertiary hospitals and primary healthcare centers (PHCs), was measured horizontally and vertically by employing the combination of an output-oriented superefficiency slack-based model-data envelopment analysis (SE-SBM-DEA) model with the Malmquist total factor productivity index (MTFP). In the second stage, the overall technical efficiency (OTE) scores were regressed against a set of environmental characteristics and several managerial factors through bootstrapping truncated regression. Results: On average, the OTE score in tertiary hospitals was 0.93, which was higher than that in secondary hospitals and PHCs (0.9 and 0.92, respectively). In terms of trend, the OTE of tertiary hospitals declined at first and then increased. The opposite was true of secondary hospitals, in which the APC of the OTE was 10.82 and -3.11% in early and late 2012, respectively. The PHCs generally showed a fluctuating downward trend. In the aspects of productivity, all institutions showed a downturn by an annual average rate of 2.73, 0.51, and 2.70%, respectively. There was a significant negative relationship between the ratio of outpatients to inpatients and tertiary hospitals. Additionally, the medical technical personnel per 1,000 population negatively affected PHCs. In contrast, the GDP per capita had a significantly positive effect on tertiary hospitals, and the number of beds per 1,000 population positively influenced PHCs. Conclusion: The efficiency of medical institutions at various levels in HMS was unbalanced and took the form of an "inverted pyramid." Multilateral factors influence the efficiency of HMS, and to address it, multi-intervention packages focusing on sinking high-quality medical resources and improving healthcare capacity, and guiding hierarchical medical practice should be adopted.
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