A. J. Abiodun, A. Ibidunni, N. B. Amos, T. Olusola
{"title":"衡量卫生资源贫乏环境下公立医院绩效:数据包络分析方法","authors":"A. J. Abiodun, A. Ibidunni, N. B. Amos, T. Olusola","doi":"10.1504/ijbhr.2019.10028475","DOIUrl":null,"url":null,"abstract":"Performance metrics of public hospitals in health resource poor environment should be considered crucial in the process of functional evaluation of the health sector. These metrics assume important dimensions in term of implication for service extension, stewardship and justifications of public resource expenditure. The present study utilised data envelopment analysis (DEA) methodology to shed light on the operational data of 32 government-owned hospitals in order to identify the magnitude of (in)efficiency in the hospital system. Results of DEA models indicate that 66.7% of these public hospitals are technically inefficient with overall average efficiency score of 0.73. In addition, 22 hospitals were found to be scale inefficient; 57.6% of these facilities being under increasing returns to scale regime. The study suggests a resource re-allocation strategy as well as managerial and policy initiatives focused on reducing costs of care.","PeriodicalId":90540,"journal":{"name":"International journal of behavioural & healthcare research","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measuring public hospitals performance in health resource poor environment: a data envelopment analysis approach\",\"authors\":\"A. J. Abiodun, A. Ibidunni, N. B. Amos, T. Olusola\",\"doi\":\"10.1504/ijbhr.2019.10028475\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Performance metrics of public hospitals in health resource poor environment should be considered crucial in the process of functional evaluation of the health sector. These metrics assume important dimensions in term of implication for service extension, stewardship and justifications of public resource expenditure. The present study utilised data envelopment analysis (DEA) methodology to shed light on the operational data of 32 government-owned hospitals in order to identify the magnitude of (in)efficiency in the hospital system. Results of DEA models indicate that 66.7% of these public hospitals are technically inefficient with overall average efficiency score of 0.73. In addition, 22 hospitals were found to be scale inefficient; 57.6% of these facilities being under increasing returns to scale regime. The study suggests a resource re-allocation strategy as well as managerial and policy initiatives focused on reducing costs of care.\",\"PeriodicalId\":90540,\"journal\":{\"name\":\"International journal of behavioural & healthcare research\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of behavioural & healthcare research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijbhr.2019.10028475\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of behavioural & healthcare research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijbhr.2019.10028475","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring public hospitals performance in health resource poor environment: a data envelopment analysis approach
Performance metrics of public hospitals in health resource poor environment should be considered crucial in the process of functional evaluation of the health sector. These metrics assume important dimensions in term of implication for service extension, stewardship and justifications of public resource expenditure. The present study utilised data envelopment analysis (DEA) methodology to shed light on the operational data of 32 government-owned hospitals in order to identify the magnitude of (in)efficiency in the hospital system. Results of DEA models indicate that 66.7% of these public hospitals are technically inefficient with overall average efficiency score of 0.73. In addition, 22 hospitals were found to be scale inefficient; 57.6% of these facilities being under increasing returns to scale regime. The study suggests a resource re-allocation strategy as well as managerial and policy initiatives focused on reducing costs of care.