Measuring the Capacity Utilization of Public District Hospitals in Tunisia: Using Dual Data Envelopment Analysis Approach
نویسندگان
چکیده
BACKGROUND Public district hospitals (PDHs) in Tunisia are not operating at full plant capacity and underutilize their operating budget. METHODS Individual PDHs capacity utilization (CU) is measured for 2000 and 2010 using dual data envelopment analysis (DEA) approach with shadow prices input and output restrictions. The CU is estimated for 101 of 105 PDH in 2000 and 94 of 105 PDH in 2010. RESULTS In average, unused capacity is estimated at 18% in 2010 vs. 13% in 2000. Of PDHs 26% underutilize their operating budget in 2010 vs. 21% in 2000. CONCLUSION Inadequate supply, health quality and the lack of operating budget should be tackled to reduce unmet user's needs and the bypassing of the PDHs and, thus to increase their CU. Social health insurance should be turned into a direct purchaser of curative and preventive care for the PDHs.
منابع مشابه
Measuring the Capacity Utilization of Public District Hospitals in Tunisia: Using Dual Data Envelopment Analysis Approach
Background Public district hospitals (PDHs) in Tunisia are not operating at full plant capacity and underutilize their operating budget. Methods Individual PDHs capacity utilization (CU) is measured for 2000 and 2010 using dual data envelopment analysis (DEA) approach with shadow prices input and output restrictions. The CU is estimated for 101 of 105 PDH in 2000 and 94 of 105 PDH in 2010. ...
متن کاملEstimating Capacity Utilization in Two-Stage Production Systems: A Data Envelopment Analysis Approach
The current study investigates performance in two-stage production systems through the measurement of capacity utilization (CU). In short-run, the degree of capacity utilization depends on the ability of decision making units to utilize fixed production factors. To develop this indicator in two-stage production processes, a modified SBM network DEA model is proposed. A numerical example is also...
متن کاملMeasuring Performance, Estimating Most Productive Scale Size, and Benchmarking of Hospitals Using DEA Approach: A Case Study in Iran
Background and Objectives: The goal of current study is to evaluate the performance of hospitals and their departments. This manuscript aimed at estimation of the most productive scale size (MPSS), returns to scale (RTS), and benchmarking for inefficient hospitals and their departments. Methods: The radial and non-radial data envelopment analysis (DEA) ap...
متن کاملMeasuring the efficiency of a three-stage network using data envelopment analysis approach considering dual boundary
This paper presents a method for performance evaluation, ranking and clustering based on the double-frontier view to analyze the complex networks. The model allows us to open the structure of the “black box” and can help to obtain important information about efficient and inefficient points of the system. In this paper, we consider a three-stage network, in respect to the additional desirable a...
متن کاملکارایی بیمارستانهای ایران: یک مرور نظام مند و متا آنالیز دو دهه پژوهش
Background and Aim: Increasing healthcare organizations’ efficiency is a necessity due to the resource scarcity in health sector. The aim of this study was to evaluate hospitals’ efficiency in Iran. Materials and Methods: This study was conducted using a systematic review and meta-analysis approach to find empirical research papers published on hospital efficiency in Iran between 1997 and 2016...
متن کامل