China implemented the public hospital reform in 2012. This study utilized bootstrapping data envelopment analysis（DEA） to evaluate the technical efficiency（TE） and productivity of county public hospitals in Easter...China implemented the public hospital reform in 2012. This study utilized bootstrapping data envelopment analysis（DEA） to evaluate the technical efficiency（TE） and productivity of county public hospitals in Eastern, Central, and Western China after the 2012 public hospital reform. Data from 127 county public hospitals（39, 45, and 43 in Eastern, Central, and Western China, respectively） were collected during 2012–2015. Changes of TE and productivity over time were estimated by bootstrapping DEA and bootstrapping Malmquist. The disparities in TE and productivity among public hospitals in the three regions of China were compared by Kruskal–Wallis H test and Mann–Whitney U test. The average bias-corrected TE values for the four-year period were 0.6442, 0.5785, 0.6099, and 0.6094 in Eastern, Central, and Western China, and the entire country respectively, with average non-technical efficiency, low pure technical efficiency（PTE）, and high scale efficiency found. Productivity increased by 8.12%, 0.25%, 12.11%, and 11.58% in China and its three regions during 2012–2015, and such increase in productivity resulted from progressive technological changes by 16.42%, 6.32%, 21.08%, and 21.42%, respectively. The TE and PTE of the county hospitals significantly differed among the three regions of China. Eastern and Western China showed significantly higher TE and PTE than Central China. More than 60% of county public hospitals in China and its three areas operated at decreasing return scales. There was a considerable space for TE improvement in county hospitals in China and its three regions. During 2012–2015, the hospitals experienced progressive productivity; however, the PTE changed adversely. Moreover, Central China continuously achieved a significantly lower efficiency score than Eastern and Western China. Decision makers and administrators in China should identify the causes of the observed inefficiencies and take appropriate measures to increase the efficiency of county public hospitals in the three areas of China, especially in Central China.展开更多
Background： China began to implement the national medical and health system and public hospital reforms in 2009 and 2012, respectively. Anhui Province is one of the four pilot provinces, and the medical reform measur...Background： China began to implement the national medical and health system and public hospital reforms in 2009 and 2012, respectively. Anhui Province is one of the four pilot provinces, and the medical reform measures received wide attention nationwide. The effectiveness of the above reform needs to get attention. This study aimed to master the efficiency and productivity of county-level public hospitals based on the data envelopment analysis （DEA） model and Malmquist index in Anhui, China, and then provide improvement measures for the future hospital development. Methods： We chose 12 country-level hospitals based on geographical distribution and the economic development level inAnhui Province. Relevant data that were collected in the field and then sorted were provided by the administrative departments of the hospitals. DEA models were used to calculate the dynamic efficiency and Malmquist index factors for the 12 institutions. Results： During 2010-2015, the overall average relative service efficiency of 12 county-level public hospitals was 0.926, and the number of hospitals achieved an effective DEA for each year from 2010 to 2015 was 4, 6, 7, 7, 6, and 8, respectively, as measured using DEA. During this same period, the average overall production efficiency was 0.983, and the total productivity factor had declined. The overall production efficiency of five hospitals was 〉1, and the rest are 〈1 between 2010 and 2015. Conclusions： In 2010-2015, the relative service efficiency of 12 county-level public hospitals in Anhui Province showed a decreasing trend, and the service efficiency of each hospital changed. In the past 6 years, although some hospitals have been effective, the efficiency of the county-level public hospitals in Anhui Province has not improved significantly, and the total factor productivity has not been effectively improved. County-level public hospitals need to combine their own reality to find their own deficiencies.展开更多
目的通过仿真创伤全流程早期救治模拟演练分析我国县域医院创伤救治能力现状。方法2018年7月—2022年7月在全国40家县域医院举办了中国创伤救治培训基层版(China trauma training basic,CTCT?-B),培训包括仿真的创伤早期全流程救治模拟...目的通过仿真创伤全流程早期救治模拟演练分析我国县域医院创伤救治能力现状。方法2018年7月—2022年7月在全国40家县域医院举办了中国创伤救治培训基层版(China trauma training basic,CTCT?-B),培训包括仿真的创伤早期全流程救治模拟演练。本研究对演练中创伤院前急救、院前院内信息联动、院内早期评估与处置、院内救治模式和流程、影响救治结局因素等进行归纳统计分析。结果40家县域医院,其中二级医院29家,三级医院11家;院前急救模式:依托型32家,指挥型6家,独立型2家;院前急救能力方面:院前规范处置31家,不规范处置7家,不处置2家;院前院内信息联动方面:电话/微信24家,院前急救系统8家,中国创伤联盟紫云系统6家,无信息交互2家;院内交接和早期评估:能够按照创伤救治规范化培训要求进行评估和处置23家,不规范17家;创伤救治模式方面:以急诊科为主导的多学科会诊模式34家,创伤科主导的创伤救治模式4家,专科主导多学科会诊模式2家;实体创伤病房6家,急诊病房23家,无病房11家;40名模拟创伤患者16人死亡,其余存活,死亡原因为早期评估和处置不规范,输血流程不合理、创伤相关核心技术缺乏,有效运行的创伤多学科团队缺乏。结论县域创伤救治过程中存在创伤早期评估和核心技术不足、缺乏院内高效的多学科救治团队、创伤集中收治模式尚未普及等问题,亟须重视解决。展开更多
基金supported by the National Natural Science Foundation of China(No.71473099)
文摘China implemented the public hospital reform in 2012. This study utilized bootstrapping data envelopment analysis（DEA） to evaluate the technical efficiency（TE） and productivity of county public hospitals in Eastern, Central, and Western China after the 2012 public hospital reform. Data from 127 county public hospitals（39, 45, and 43 in Eastern, Central, and Western China, respectively） were collected during 2012–2015. Changes of TE and productivity over time were estimated by bootstrapping DEA and bootstrapping Malmquist. The disparities in TE and productivity among public hospitals in the three regions of China were compared by Kruskal–Wallis H test and Mann–Whitney U test. The average bias-corrected TE values for the four-year period were 0.6442, 0.5785, 0.6099, and 0.6094 in Eastern, Central, and Western China, and the entire country respectively, with average non-technical efficiency, low pure technical efficiency（PTE）, and high scale efficiency found. Productivity increased by 8.12%, 0.25%, 12.11%, and 11.58% in China and its three regions during 2012–2015, and such increase in productivity resulted from progressive technological changes by 16.42%, 6.32%, 21.08%, and 21.42%, respectively. The TE and PTE of the county hospitals significantly differed among the three regions of China. Eastern and Western China showed significantly higher TE and PTE than Central China. More than 60% of county public hospitals in China and its three areas operated at decreasing return scales. There was a considerable space for TE improvement in county hospitals in China and its three regions. During 2012–2015, the hospitals experienced progressive productivity; however, the PTE changed adversely. Moreover, Central China continuously achieved a significantly lower efficiency score than Eastern and Western China. Decision makers and administrators in China should identify the causes of the observed inefficiencies and take appropriate measures to increase the efficiency of county public hospitals in the three areas of China, especially in Central China.
基金This research＇was supported by the grants from the National Natural Science Foundation of China （No. 71473003）, and National Natural Science Foundation of China （71774001）.
文摘Background： China began to implement the national medical and health system and public hospital reforms in 2009 and 2012, respectively. Anhui Province is one of the four pilot provinces, and the medical reform measures received wide attention nationwide. The effectiveness of the above reform needs to get attention. This study aimed to master the efficiency and productivity of county-level public hospitals based on the data envelopment analysis （DEA） model and Malmquist index in Anhui, China, and then provide improvement measures for the future hospital development. Methods： We chose 12 country-level hospitals based on geographical distribution and the economic development level inAnhui Province. Relevant data that were collected in the field and then sorted were provided by the administrative departments of the hospitals. DEA models were used to calculate the dynamic efficiency and Malmquist index factors for the 12 institutions. Results： During 2010-2015, the overall average relative service efficiency of 12 county-level public hospitals was 0.926, and the number of hospitals achieved an effective DEA for each year from 2010 to 2015 was 4, 6, 7, 7, 6, and 8, respectively, as measured using DEA. During this same period, the average overall production efficiency was 0.983, and the total productivity factor had declined. The overall production efficiency of five hospitals was 〉1, and the rest are 〈1 between 2010 and 2015. Conclusions： In 2010-2015, the relative service efficiency of 12 county-level public hospitals in Anhui Province showed a decreasing trend, and the service efficiency of each hospital changed. In the past 6 years, although some hospitals have been effective, the efficiency of the county-level public hospitals in Anhui Province has not improved significantly, and the total factor productivity has not been effectively improved. County-level public hospitals need to combine their own reality to find their own deficiencies.
文摘目的通过仿真创伤全流程早期救治模拟演练分析我国县域医院创伤救治能力现状。方法2018年7月—2022年7月在全国40家县域医院举办了中国创伤救治培训基层版(China trauma training basic,CTCT?-B),培训包括仿真的创伤早期全流程救治模拟演练。本研究对演练中创伤院前急救、院前院内信息联动、院内早期评估与处置、院内救治模式和流程、影响救治结局因素等进行归纳统计分析。结果40家县域医院,其中二级医院29家,三级医院11家;院前急救模式:依托型32家,指挥型6家,独立型2家;院前急救能力方面:院前规范处置31家,不规范处置7家,不处置2家;院前院内信息联动方面:电话/微信24家,院前急救系统8家,中国创伤联盟紫云系统6家,无信息交互2家;院内交接和早期评估:能够按照创伤救治规范化培训要求进行评估和处置23家,不规范17家;创伤救治模式方面:以急诊科为主导的多学科会诊模式34家,创伤科主导的创伤救治模式4家,专科主导多学科会诊模式2家;实体创伤病房6家,急诊病房23家,无病房11家;40名模拟创伤患者16人死亡,其余存活,死亡原因为早期评估和处置不规范,输血流程不合理、创伤相关核心技术缺乏,有效运行的创伤多学科团队缺乏。结论县域创伤救治过程中存在创伤早期评估和核心技术不足、缺乏院内高效的多学科救治团队、创伤集中收治模式尚未普及等问题,亟须重视解决。
