Testing for cost efficiency differences between two groups of rural hospitals

Nedelea, I. Cristian; Fannin, James Matthew

doi:10.1080/20479700.2016.1259146

Cited by 10 publications

(2 citation statements)

References 15 publications

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“…Data envelopment analysis has such superior aspects as well as some limitations. Ignoring the impacts of external factors and statistical errors, a non-parametric method and influenced by outliers and deviations from the efficiency frontier are the weaknesses of the DEA method [36][37][38][39][40].…”

Section: Discussionmentioning

confidence: 99%

Investigation of factors affecting efficiency of primary healthcare in Turkey with two-stage data envelopment analysis

İlgün

Şahin

2020

International Journal of Healthcare Management

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This study had two aims, one of which was to reflect the efficiencies of all institutions providing primary healthcare in Turkey between the years of 2012-2014 at the level of provinces. The second aim was to identify the factors that affect the efficiency scores. Two-stage data envelopment analysis method was utilized accordingly. The findings of the study showed that the number of provinces providing primary healthcare efficiently was found as 20 for 2012, 17 for 2013 and 24 for 2014. The study also showed that the efficiency scores of the provinces in primary healthcare changed according to income, apart from the input and output variables. According to the results of the study, it was found that most of the provinces are inefficient. In order to improve this, attention should be paid to decreasing inputs and infant mortality rate and increasing the average number of follow-up per infant, especially in provinces where income per capita is low. In addition, it is thought that the results of this study will provide important information to healthcare administrators and policy makers regarding primary care, which has an important role in preventing outbreaks (for example COVID-19), monitoring diseases, protecting and promoting health.

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Section: Discussionmentioning

confidence: 99%

Investigation of factors affecting efficiency of primary healthcare in Turkey with two-stage data envelopment analysis

İlgün

Şahin

2020

International Journal of Healthcare Management

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“…Miller et al (2017) use disease-specific process indicators to investigate the effect of a US health care reform on hospital efficiency. Nedelea and Fannin (2017) explore efficiency differences between US hospitals against the background of their different reimbursement schemes. They use disease-specific clinical indicators similar to those of Miller et al (2017).…”

Section: Hospital Studies Including Cross-provider Studiesmentioning

confidence: 99%

Health care quality in nonparametric efficiency studies: a review

Sommersguter-Reichmann

2021

Cent Eur J Oper Res

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Scientists are increasingly considering quality in nonparametric frontier efficiency studies in health care. There are many ways to include quality in efficiency analyses. These approaches differ, among other things, in the underlying assumptions about the influence of quality on the attainable efficiency frontier and the distribution of inefficiency scores. The aim is to provide an overview of how scholars have taken quality into account in nonparametric frontier efficiency studies and, at the same time, to address the underlying assumptions on the relationship between efficiency and quality. To this end, we categorized empirical efficiency studies according to the methodological approaches and quality dimensions and collected the quality indicators used. We performed a Web of Science search for studies published in journals covered by the Science Citation Index Expanded, the Social Sciences Citation Index, and the Emerging Sources Citation Index between 1980 and 2020. Of the 126 studies covered in this review, 78 are one-stage studies that incorporate quality directly into the efficiency model and thus assume that quality impacts the attainable efficiency frontier. Forty-four articles are two-stage studies that consider quality in the first and the second stage or the second stage only. Four studies do not assume a priori a specific association between efficiency and quality. Instead, they test for this relationship empirically. Outcome quality is by far the most frequently incorporated quality dimension. While most studies consider structural quality as an environmental variable in the second stage, they include outcome quality predominantly directly in the efficiency model. Process quality is less common.

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