Huajun Sun, Xiaomeng Yu, Fangshi Li, Tingting Zhang, Jiahui Song, Yue Du, Hongliang Liu
{"title":"如何提高医学重点学科建设效率:一个三阶段DEA。","authors":"Huajun Sun, Xiaomeng Yu, Fangshi Li, Tingting Zhang, Jiahui Song, Yue Du, Hongliang Liu","doi":"10.1186/s12962-025-00649-1","DOIUrl":null,"url":null,"abstract":"<p><p>The construction of key medical disciplines plays a crucial role in enhancing the capacity of medical services, cultivating high-level medical professionals, and advancing the development of medical technology. However, there is a relative insufficiency in assessing the efficiency of constructing these key disciplines. Most existing evaluations focus primarily on health services. To address this gap, the present study evaluates the construction efficiency of key medical disciplines within Tianjin and identifies critical factors that significantly influence this efficiency, thereby providing strategies for optimization. This research employs a three-stage data envelopment analysis (DEA) model to measure the construction efficiency of key medical disciplines. The super-efficient non-expected SBM model is utilized to analyze both the first and third stages of this three-stage DEA framework. In the second stage, adjustments are made to input variables based on results from Stochastic Frontier Analysis (SFA). Furthermore, Tobit regression analysis is conducted to examine factors influencing efficiency. The findings reveal that the average technical efficiency of key medical disciplines stands at 0.18, with only 8.57% classified as DEA efficient. The Tobit regression analysis indicates a significant positive impact from the proportion of doctoral personnel, material costs and travel costs on construction efficiency. It is essential to allocate resources rationally for developing key medical disciplines while implementing various measures aimed at optimizing both educational structures within discipline teams and financial resource allocation in order to enhance overall construction efficiency.</p>","PeriodicalId":47054,"journal":{"name":"Cost Effectiveness and Resource Allocation","volume":"23 1","pages":"46"},"PeriodicalIF":2.5000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12462337/pdf/","citationCount":"0","resultStr":"{\"title\":\"How to improve the construction efficiency of key medical disciplines: a three-stage DEA.\",\"authors\":\"Huajun Sun, Xiaomeng Yu, Fangshi Li, Tingting Zhang, Jiahui Song, Yue Du, Hongliang Liu\",\"doi\":\"10.1186/s12962-025-00649-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The construction of key medical disciplines plays a crucial role in enhancing the capacity of medical services, cultivating high-level medical professionals, and advancing the development of medical technology. However, there is a relative insufficiency in assessing the efficiency of constructing these key disciplines. Most existing evaluations focus primarily on health services. To address this gap, the present study evaluates the construction efficiency of key medical disciplines within Tianjin and identifies critical factors that significantly influence this efficiency, thereby providing strategies for optimization. This research employs a three-stage data envelopment analysis (DEA) model to measure the construction efficiency of key medical disciplines. The super-efficient non-expected SBM model is utilized to analyze both the first and third stages of this three-stage DEA framework. In the second stage, adjustments are made to input variables based on results from Stochastic Frontier Analysis (SFA). Furthermore, Tobit regression analysis is conducted to examine factors influencing efficiency. The findings reveal that the average technical efficiency of key medical disciplines stands at 0.18, with only 8.57% classified as DEA efficient. The Tobit regression analysis indicates a significant positive impact from the proportion of doctoral personnel, material costs and travel costs on construction efficiency. It is essential to allocate resources rationally for developing key medical disciplines while implementing various measures aimed at optimizing both educational structures within discipline teams and financial resource allocation in order to enhance overall construction efficiency.</p>\",\"PeriodicalId\":47054,\"journal\":{\"name\":\"Cost Effectiveness and Resource Allocation\",\"volume\":\"23 1\",\"pages\":\"46\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12462337/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cost Effectiveness and Resource Allocation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12962-025-00649-1\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cost Effectiveness and Resource Allocation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12962-025-00649-1","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
How to improve the construction efficiency of key medical disciplines: a three-stage DEA.
The construction of key medical disciplines plays a crucial role in enhancing the capacity of medical services, cultivating high-level medical professionals, and advancing the development of medical technology. However, there is a relative insufficiency in assessing the efficiency of constructing these key disciplines. Most existing evaluations focus primarily on health services. To address this gap, the present study evaluates the construction efficiency of key medical disciplines within Tianjin and identifies critical factors that significantly influence this efficiency, thereby providing strategies for optimization. This research employs a three-stage data envelopment analysis (DEA) model to measure the construction efficiency of key medical disciplines. The super-efficient non-expected SBM model is utilized to analyze both the first and third stages of this three-stage DEA framework. In the second stage, adjustments are made to input variables based on results from Stochastic Frontier Analysis (SFA). Furthermore, Tobit regression analysis is conducted to examine factors influencing efficiency. The findings reveal that the average technical efficiency of key medical disciplines stands at 0.18, with only 8.57% classified as DEA efficient. The Tobit regression analysis indicates a significant positive impact from the proportion of doctoral personnel, material costs and travel costs on construction efficiency. It is essential to allocate resources rationally for developing key medical disciplines while implementing various measures aimed at optimizing both educational structures within discipline teams and financial resource allocation in order to enhance overall construction efficiency.
期刊介绍:
Cost Effectiveness and Resource Allocation is an Open Access, peer-reviewed, online journal that considers manuscripts on all aspects of cost-effectiveness analysis, including conceptual or methodological work, economic evaluations, and policy analysis related to resource allocation at a national or international level. Cost Effectiveness and Resource Allocation is aimed at health economists, health services researchers, and policy-makers with an interest in enhancing the flow and transfer of knowledge relating to efficiency in the health sector. Manuscripts are encouraged from researchers based in low- and middle-income countries, with a view to increasing the international economic evidence base for health.