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Hofmarcher, Maria M.; Paterson, Iain; Riedel, Monika

doi:10.1023/a:1013292801100

Cited by 106 publications

(11 citation statements)

References 4 publications

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“…The results about the growth in CHCs productivity can be compared to observed trends among similar healthcare facilities in Finland [22] ,Northern Ireland [23] and Austria [24, 25], Germany [13], Angola [7] and Ghana [14] albeit differences in the sources of growth in the respective countries. For example Pilyavsky, et al [26] documented that despite the efficiency improvements in Ukrainian and South African healthcare facilities, they experienced technological retrogression.…”

Section: Discussionmentioning

confidence: 99%

Towards an equitable healthcare in China: evaluating the productive efficiency of community health centers in Jiangsu Province

Zhou

Antwi

et al. 2017

Int J Equity Health

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BackgroundWhile the demand for the health service keeps escalating at the grass root or rural areas of China, a substantial portion of healthcare resources remains stagnant in the more developed cities and this has entrenched health inequity in many parts of China. At its conception, the Deepening Health Care Reform in 2012 China was intended to flush out these discrepancies and promote a more equitable and efficient distribution of health resources. Nearly half a decade of this reform, there are uncertainties as to whether the attainment of the objectives of the reform is in sight.MethodsWe divided Jiangsu Province into 3 zones according to the level of economic and social development i.e. developed, developing, and undeveloped areas. Using a hybrid of Panel data analysis and an augmented Data Envelopment Analysis (DEA), we model human resources, capital inputs of Community Health Centers to comprehensively determine the technical and scale efficiency of community health resources in 3 zones in Jiangsu Province.ResultsWe sampled data and analysed efficiency and productivity growth of 75 Community Health Centers in 13 cities of Jiangsu Province from 2011 to 2015, which shows that a significant productive growth among Community Health Centers between 2011 and 2015. Mirroring the behavior of Community Health Centers, technological progress was the underlying force for the growth and the deterioration in efficiency change was found. This can be credited partly to the Deepening Health Care Reform measures aimed at improving technology availability in health centers in sub-urban areas. The regional summary of the DEA result shows that the stage of economic development and the efficiency performance of hospital did not necessarily go hand in hand among the 3 zones of Jiangsu.ConclusionsThe government of China in general and Jiangsu province in particular could improve the efficiency of health resources allocation by improving the community health service system, rationalizing the allocation of health personnel, optimizing the allocation of material resources and enhancing the level of health of financial resources allocation.

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Section: Discussionmentioning

confidence: 99%

Towards an equitable healthcare in China: evaluating the productive efficiency of community health centers in Jiangsu Province

Zhou

Antwi

et al. 2017

Int J Equity Health

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“…Different input and output sets had been used in the DEA literature to analyze the efficiency of hospitals [ 32 , 33 ]. The basic principle, to identify variables, is to have a clear understanding of the “process” being evaluated among peer hospitals [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

Measuring the efficiency of Palestinian public hospitals during 2010–2015: an application of a two-stage DEA method

Sultan

Crispim

2018

BMC Health Serv Res

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BackgroundWhile health needs and expenditure in the Occupied Palestinian Territories (OPT) are growing, the international donations are declining and the economic situation is worsening. The purpose of this paper is twofold, to evaluate the productive efficiency of public hospitals in West Bank and to study contextual factors contributing to efficiency differences.MethodsThis study examined technical efficiency among 11 public hospitals in West Bank from 2010 through 2015 targeting a total of 66 observations. Nationally representative data were extracted from the official annual health reports. We applied input-oriented Data Envelopment Analysis (DEA) models to estimate efficiency scores. To elaborate further on performance, we used Tobit regression to identify contextual factors whose impact on inefficient performance is statistically significant.ResultsDespite the increase in efficiency mean scores by 4% from 2010 to 2015, findings show potential savings of 14.5% of resource consumption without reducing the volume of the provided services. The significant Tobit model showed four predictors explaining the inefficient performance of a hospital (p < 0.01) are: bed occupancy rate (BOR); the outpatient-inpatient ratio (OPIPR); hospital’s size (SIZE); and the availability of primary healthcare centers within the hospital’s catchment area (PRC). There is a strong effect of OPIPR on efficiency differences between hospitals: A one unit increase in OPIPR will lead a decrease of 19.7% in the predicted inefficiency level holding all other factors constant.ConclusionTo date, no previous studies have examined the efficiency of public hospitals in the OPT. Our work identified their efficiency levels for potential improvements and the determinants of efficient performance. Based on the measurement of efficiency, the generated information may guide hospitals’ managers, policymakers, and international donors improving the performance of the main national healthcare provider. The scope of this study is limited to public hospitals in West Bank. For a better understanding of the Palestinian market, further research on private hospitals and hospitals in Gaza Strip will be useful.Electronic supplementary materialThe online version of this article (10.1186/s12913-018-3228-1) contains supplementary material, which is available to authorized users.

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“…Hofmarcher, during a study entitled “Measuring Australian Hospitals Efficiency Using the DEA Approach,” concluded that in most studies, the number of beds is considered as a input variable and the number of hospital staff, the rate of discharge, the length of stay, and emergency visits are considered as output variables, but what is considered as a DEA advantage compared to other methods is that several inputs and several outputs are arisen in the process of efficiency measurement; but, on the other hand, the selection of the most suitable inputs and outputs is concern of researchers in this field of studies. [ 39 ]…”

Section: Discussionmentioning

confidence: 99%