Using Data Envelopment Analysis Method to Measure the Efficiency Difference of Medical and Surgical Ward

• Main Authors: Mei-Hua Chen, 陳美華
• Other Authors: Yeuh-Juen Hwu
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/z93mfh

碩士 === 中臺科技大學 === 醫護管理研究所 === 97 === With the rapid change in the social environment and the implementation of global budgets limits of National Health Insurance (NHI) , this research surveys management efficiency of medical and surgical ward in order to provides the guidelines of the whole development in the hospital and the evaluation of management efficiency of the clinical nursing divisions. The objectives of this research include three approaches as follows: (1) to evaluate the total efficiency, pure technical efficiency, and scale efficiency of medical and surgical ward; (2) to find out the input and output evaluation items that are sensitive to relative efficiency evaluation, and (3) to find out the influence on medical and surgical ward when input and output measuring items are changed.Our research is a traversal progress that adopts regression data analysis for data choice and studies on the 11 units of medical and surgical wards and 33 Decision Making Units (DMU) for the medical center in the middle of Taiwan. Our resource data come from the regression data of the medical and surgical ward in the medical center, and then we get 3 input variables and 9 output variables from data collection of references and the investigation of Delphi technique. In the management evaluation, we address the Data Envelopment Analysis (DEA) method to achieve the evaluation of 11 units of medical and surgical wards. The method divides into two models: multiple input items and multiple output items (CCR model) and dynamic scale reward relationship between input and output items (BCC model). Based on these two models, we address our research in the efficient values analysis, reference combination analysis, differential variables analysis and sensitivity analysis.The experimental results show that (1) the efficiency value analysis: there are 29 Decision Making Units (DMUs) in the total efficiency and 28 DMUs in the pure technical efficiency and scale efficiency, respectively, (2) the reference combination analysis: there are 11 DMUs referred in the total efficiency and 11 DMUs referred in the pure technical efficiency, (3) the differential variables analysis: the average technical efficiency value is 0.996 and there are 29 DMUs to reach the relative efficiency, and (4) the sensitivity analysis: the number of departments and the occupational rates change mostly and all of relative efficiency values are greater than 1 in the number of patients when we delete an input variable. In the meanwhile,the restraint and infection rate change mostly in the total efficiency when we delete an output variable.Therefore, using the DEA-oriented CCR model to realize the relative efficiency of medical and surgical wards in 2004 to 2006 is a good way to help the nursing chiefs achieve the best total efficiency of the ward allocation and provides suggestions to refine the non-efficiency units in the goal values and scale.