Efficiency of acute public hospitals in the region of Murcia, Spain

Fuentes, Ramón; Ferrándiz-Gomis, Roberto; Fuster, Begoña

doi:10.2217/cer-2018-0150

Cited by 10 publications

(6 citation statements)

References 81 publications

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“…Therefore, it is reasonable and necessary to use the improved three-stage DEA method when measuring the efficiency of public hospitals for accurate results. The results for efficiency indicated that the mean efficiency score of public hospitals in Guangdong was 0.891, which was higher than that in Palestine (0.853) [32], Serbia (0.782) [45], Turkey (0.724) [69], Saudi Arabia (0.76) [50], Jordan (0.547) [70], and Iran (0.873) [71] and lower than that in Spain (1.016) [72], Wuhan, China (0.899) [73], and Taiwan, China (0.973) [74]. Only 38.1% of cities were found to be efficient in 2020.…”

Section: Discussionmentioning

confidence: 99%

Equity and efficiency of public hospitals’ health resource allocation in Guangdong Province, China

Fan

et al. 2022

Int J Equity Health

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Background To better meet people’s growing demand for medical and health services, 21 cities in Guangdong Province were involved in the reform of public hospitals in 2017. This paper evaluates the equity and efficiency of public hospitals’ health resource allocation in Guangdong Province and explores ways to change the current situation. Methods Data were collected from the Guangdong Health Statistical Yearbook 2016–2020 and Guangdong Statistical Yearbook 2017–2021. The Gini coefficient (G), Theil index (T), and health resource density index (HRDI) were used to measure the equity of health resource allocation. An improved three-stage DEA method was applied in efficiency evaluation. The entropy weight method was employed to calculate the weight of different indicators to obtain a comprehensive indicator representing the overall volume of health resources in each city. A two-dimensional matrix was drawn between the HRDI of the comprehensive indicator and efficiency and the per capita government financial subsidies and efficiency to observe the coordination of equity and efficiency across regions. Results From 2016 to 2020, the G of public hospital, bed, and health technician allocation by population remained below 0.2, while that by geographical area ranged from 0.4 to 0.6; the G of government financial subsidies by population was above 0.4, while that by geographical area was greater than 0.7. The results for T showed that inequality mainly comes from intraregional differences, and the Pearl River Delta contributes most to the overall differences. Although the HRDI of the Pearl River Delta is far greater than that of other regions, obvious differences exist across cities in the region. Only 38.1% of cities were found to be efficient in 2020. The Pearl River Delta was in the first quadrant, and the other three regions were in the third quadrant, accounting for a large proportion. Conclusion The equity of government financial subsidies allocation was the worst, and there were distinct regional differences in the geographical distribution of health resources. The development of healthcare within the Pearl River Delta was highly unbalanced. The development of healthcare was uneven between the Pearl River Delta, eastern, western, and mountainous regions. In addition, most cities in the eastern, western, and mountainous regions bore the dual pressures of relatively insufficient health resources and inefficiency.

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Section: Discussionmentioning

confidence: 99%

Equity and efficiency of public hospitals’ health resource allocation in Guangdong Province, China

Fan

et al. 2022

Int J Equity Health

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“…First, the hospital efficiency in different countries or regions is discussed by using the classical DEA method from the microcosmic level. Kawaguchi et al [ 9 ], Sohn et al [ 10 ], Chowdhury et al [ 11 ], Gholami et al [ 12 ], Flokou et al [ 13 ], Blatnik et al [ 14 ], Campanella et al [ 15 ], and Fuentes et al [ 16 ] respectively evaluated the hospital efficiency of developed countries or regions, namely Japan, South Korea, the United States, Ontario, Greece, Slovenia, Italy, and Murcia of Spain. Jat et al [ 17 ] and Gimenez et al [ 18 ] assessed the hospital efficiency of the developing countries India and Colombia.…”

Section: Introductionmentioning

confidence: 99%

Regional Differences and Influencing Factors of Allocation Efficiency of Rural Public Health Resources in China

Liu

Chen

et al. 2020

Healthcare

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In the face of increasingly growing health demands and the impact of various public health emergencies, it is of great significance to study the regional differences in the allocation efficiency of the rural public health resources and its improvement mechanism. In this paper, the game competition relationship is included in the evaluation model, and the game cross-efficiency model is used to measure the allocation efficiency of the rural public health resources in 31 provinces of China from 2008 to 2017. Then, the Theil index model and the Gini index model are applied in exploring the regional differences in the allocation efficiency of rural public health resources and its sources. Finally, the bootstrap truncated regression model is used to analyze the influencing factors of the allocation efficiency of the rural public health resources in China. The results show that, first, the total allocation efficiency level of the rural public health resources in China from 2008 to 2017 is relatively low, and it presents a U-shaped trend, first falling and then rising. Second, the changing trend of the allocation efficiency of the rural public health resources in the eastern, central, and western regions of China is similar to that in the nationwide region, and it shows a gradient trend that “the allocation efficiency in the eastern region is high, the allocation efficiency in the western region is low, and the allocation efficiency in the Central region is at the medium level”. However, the gap among the three regions is continually narrowing. Third, the calculation results of the Theil index and the Gini index show that intra-regional differences are the major source of the regional differences in the allocation efficiency of the rural public health resources in China, and the inter-regional differences demonstrate an expansion trend. Finally, the improvement of the education level and the social support level will generally improve the allocation efficiency of the rural public health resources in China and its three regions. The increased governmental financial support and urbanization level will reduce the allocation efficiency of the rural public health resources in China and its three regions. The economic development level, the living conditions and the population density are the important influencing factors of the allocation efficiency differences of the rural public health resources in the three regions. Therefore, on the basis of ensuring the increase of the total supply of the rural public health resources, more attention should be paid to the improvement of the allocation efficiency. Moreover, on the basis of continually narrowing the inter-regional differences among the eastern, central, and western regions, more attention should be paid to the intra-regional differences of the allocation efficiency of the rural public health resources among the different provinces. The various economic and social policies should be constantly optimized to jointly improve the allocation efficiency of the rural public health resources.

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“…Specifically, we compare traditionally managed public hospitals, public hospitals managed by a private finance initiative (PFI. The expenditure of goods and services commonly referred as hospital operational costs (Fuentes et al, 2019). Operational costs often included in the productivity analysis which can show good comparisons in terms of units and time (Anthun et al, 2017(Anthun et al, )1999(Anthun et al, -2014 This period was characterized by a large ownership reform with subsequent hospital reorganizations and mergers.…”

Section: (4) Operational Costmentioning

confidence: 99%

“…Many articles use the term "discharged patient" to represent the number of inpatients (Li & Dong, 2015;Narcı et al, 2015;Jiang et al, 2016;Jia & Yuan, 2017;Li et al, 2017;Giancotti et al, 2018;Kiani et al, 2018;Zhang et al, 2018;Zheng et al, 2018;Fuentes et al, 2019;Miguel et al, 2019;Jing et al, 2020). From patients who have been discharged, it can shows how was the capacity of services that have been used (Li et al, 2017).…”

Section: (1) the Number Of Inpatientsmentioning

confidence: 99%

“…Realized that inpatient services have different features and consume more resources that outpatients, the use of term "days of inpatient" is considered more medically homogenous than the term "number of patients hospitalized" and can provide a more significant output (Wang et al, 2017). The use of days of inpatient widely used in the form of the Average Lentgh of Stay (ALoS) (Fuentes et al, 2019;Pirani et al, 2018;Giancotti et al, 2018;Jia & Yuan, 2017;Kalhor et al, 2016). But in other hand, the varying length of days the hospitalized can be considered a distortion of ALoS calculation because the level of use can be higher or lower within patient (Flokou et al, 2017).…”

Section: (3) Days Of Inpatientmentioning

confidence: 99%

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A Literature review on the Identification of Variables for Measuring Hospital Efficiency in the Data Envelopment Analysis (DEA)

Fazria

Dhamanti

2021

UJPH

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The selection of input and output variables usually pose a problem when carrying out efficiency assessment in hospitals. Data Envelopment Analysis (DEA) is an instrument that is used to calculate the efficiency of a hospital using some inputs and outputs. Therefore, this study aims to identify the most frequently used hospital inputs and outputs from an existing paper,, in order to assist the hospital management staffs in choosing the relevant variables that can represent available inputs, are easily accessible, and need improvement. It was conducted using keywords such as “hospital efficiency” and “DEA for hospital” to search for peer-reviewed journals in the PubMed and Open Knowledge Maps from the year 2014-2020. From, the 586 articles, 54 samples were obtained from the about 5-3504 hospitals which were analyzed from 23 countries. The results showed that, the five most used inputs were the number of beds, medical personnel, non-medical staff, medical technician staff and operational costs, while the most used outputs were number of inpatients, surgeries, emergency visits, outpatient service, and days of inpatients. These variables are often used for accessing the efficiency of hospitals in the DEA application.

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Efficiency of acute public hospitals in the region of Murcia, Spain

Cited by 10 publications

References 81 publications

Equity and efficiency of public hospitals’ health resource allocation in Guangdong Province, China

Equity and efficiency of public hospitals’ health resource allocation in Guangdong Province, China

Regional Differences and Influencing Factors of Allocation Efficiency of Rural Public Health Resources in China

A Literature review on the Identification of Variables for Measuring Hospital Efficiency in the Data Envelopment Analysis (DEA)

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