Avaliação da eficiência técnica dos hospitais de ensino do Brasil utilizando a análise envoltória de dados

Garmatz, Aline; Vieira, Guilherme Bergmann Borges; Sirena, Sérgio Antônio

doi:10.1590/1413-81232021269.2.34632019

Cited by 6 publications

(11 citation statements)

References 12 publications

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“…While others detailed the model as Radial, Non-Radial and Oriented, Non-Radial and Non-Oriented, and Radial and Non-Radial [23,126]. The majority of the research that were included used Radial DEA models (72 of 89, 80.90%) [46,48–52,54–62,65–77,79,80,82–86,89–94,96–100,102–116,118–124,127–130]. BCC, CCR or combination of both models were the specific model utilized in measuring efficiency via radial change of input and output values.…”

Section: Resultsmentioning

confidence: 99%

“…Among the studies, 80 (89.89%) conducted extended analysis in their research [46–56,58–64,66–69,71–77,79–94,96–98,101–116,118–125,128–135]. The type of data applied were almost equally distributed among the studies 51 (57.30%) [47,49,52,58–60,67,70–73,75–77,79,80,83–85,88,91,92,94,96,97,100,101,103,105–109,111,112,114–116,120–122,124,125,127,129–135] used panel data and 38 (42.70%) [46,48,50,51,53–57,61–66,68,69,74,78,81,82,86,87,89,90,93,95,98,99,102,104,110,113,117–119,123,128] used cross sectional data in their research. Forty extended analyses were identified within the included studies.…”

Section: Resultsmentioning

confidence: 99%

“…Some of the studies used combination of approaches. 63 studies (70.79%) used only literature review as their approach in selecting the input and output [46–48,50–55,59,60,62,64–78,81,82,85,86,89–92,94,96–98,101,103,105,108,110,111,113,115–122,124,125,127,128,130,132–135]. While the rest used literature review in combination with other approaches.…”

Section: Resultsmentioning

confidence: 99%

“…While others detailed the model as Radial, Non-Radial and Oriented, Non-Radial and Non-Oriented, and Radial and Non-Radial [23,126]. The majority of the research that were included used Radial DEA models (72 of 89, 80.90%) [46,[48][49][50][51][52][54][55][56][57][58][59][60][61][62][65][66][67][68][69][70][71][72][73][74][75][76][77]79,80,[82][83][84][85][86][89][90][91][92][93][94][96][97][98][99][100][102][103]…”

Section: Model Typementioning

confidence: 99%

“…In other words, the organization had little or no control over the output [46,51,110]. About a quarter of the studies (25.84%, 23 of 89) [49,[55][56][57]59,61,62,70,74,79,[82][83][84][85][86]102,108,112,117,119,122,123,134] expressed the opposite. The organization should me be able to produce more output given that the input is fixed and not easily increase.…”

Section: Model Orientationmentioning

confidence: 99%

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Approach in Inputs & Outputs Selection of Data Envelopment Analysis (DEA) Efficiency Measurement in Hospital: A Systematic Review

Zubir,

Noor,

Rizal

et al. 2023

Preprint

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Data Envelopment Analysis (DEA) has been employed as a performance evaluation tool in the evaluation of efficiency and productivity in numerous fields. This includes hospitals in particular as well as the broad healthcare industry. This review examines 89 papers that discuss the use of DEA in hospitals, paying particular attention to approaches for choosing inputs and outputs as well as the most recent developments in DEA studies. English articles with empirical data from year 2014-2022 (Web of Science, Scopus, PubMed, ScienceDirect, Springer Link, and Google Scholar) were extracted based on PRISMA methodology. DEA Model parameters were specified based on previous studies and approaches were identified narratively. The approaches can be grouped into four: (1) Literature review, (2) Data availability, (3) Systematic method and (4) Expert judgement. The approaches were applied as one strategy either by itself or in combination with others. This review's emphasis on approaches used in hospital may constrain its conclusions. There might be another strategy or method used to select the input and output for a DEA study in a different area or strategies based on different viewpoints. The trend for DEA application were quite similar to previous studies. There is no evidence that one model fits all DEA model parameters better than another. Based on the reviewed literature, we offer some recommendations and methodological principles for DEA studies.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…While others detailed the model as Radial, Non-Radial and Oriented, Non-Radial and Non-Oriented, and Radial and Non-Radial [23,126]. The majority of the research that were included used Radial DEA models (72 of 89, 80.90%) [46,[48][49][50][51][52][54][55][56][57][58][59][60][61][62][65][66][67][68][69][70][71][72][73][74][75][76][77]79,80,[82][83][84][85][86][89][90][91][92][93][94][96][97][98][99][100][102][103]…”

Section: Model Typementioning

confidence: 99%

Section: Model Orientationmentioning

confidence: 99%

See 3 more Smart Citations

Approach in Inputs & Outputs Selection of Data Envelopment Analysis (DEA) Efficiency Measurement in Hospital: A Systematic Review

Zubir,

Noor,

Rizal

et al. 2023

Preprint

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Benchmarking non-pharmacological policies from an efficient administration perspective: a panel DEA approach with strategic insights for the post-pandemic

Nepomuceno

Silva

Mori

et al. 2023

IJSE

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PurposeThe recent increase in the number of infections and mortality rates in many regions has emphasized the cyclical nature of this pandemic, with new variants emerging constantly. Understanding what has been done by efficient administrations to contain the outbreak is essential while new immunization developments for the new variants are not available.Design/methodology/approachThis work adapts the traditional Banker, Charnes and Cooper (BCC) Variable Returns to Scale model for including panel data on the Brazilian Federal Government spending over the first pandemic months in Pernambuco to identify efficient municipalities and conduct a benchmark on the best practices, reactions and implications that can serve as a guide for the post-Covid recurrence era.FindingsThe results provide an interesting panorama of municipal response to the pandemic and some quantitative and qualitative prospects on potentials for improvements from the perspective of efficient and inefficient cities. Only one administration (São Bento do Una) was identified as efficient for the entire period. The authors’ benchmark and discussion are focused on this municipality.Originality/valueThe authors believe this work has two innovative components. The first is a robust and systematic methodology integrating the advances in testing convexity and returns to scale in the construction of a production frontier based on panel data. The second is a discussion on what drives efficiency (benchmarking of best practices) in addition to how to quantitatively attain such efficiency prospects. To the best of the authors’ knowledge, both methodological and empirical implications are original to the present manuscript.

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Level of technical efficiency and associated factors among health centers in East Gojjam Zone, Northwest Ethiopia: an application of the data envelopment analysis

Lamesgen,

Mengist,

Mazengia

et al. 2024

BMC Health Serv Res

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Background Besides the scarcity of resources, inefficient utilization of available health service resources has been the bottleneck to deliver quality health services in Ethiopia. However, Information regarding the efficiency of health service providers is limited in the country. Health service managers and policy makers must be well informed about the efficiency of health service providers and ways of using limited resources efficiently to make evidence-based decisions. This study aimed to assess the level of technical efficiency and associated factors among health centers in East Gojjam Zone, Northwest Ethiopia. Methods A facility-based cross-sectional study was conducted among 27 randomly selected health centers in East Gojjam zone, Northwest Ethiopia, from October 30, 2022, to April 30, 2023. Using an interviewer-administered questionnaire and document review checklist, health centers’ data was collected and entered to Epi-Data version 4.6. The data was exported to Microsoft office excel and Stata version 14 for analysis. A two-stage output-oriented data envelopment analysis with a variable return to scale assumption was employed to determine the level of technical efficiencies. Finally, the tobit regression model was applied to identify the associated factors at 5% level of significance. Results In this study, 59.3% of the health centers were technically efficient. The mean technical efficiency score of the health centers was 0.899 ± 0.156. Inefficient health centers could provide more 22, 433 outpatient visits, 1,351 family planning visits, 155 referral services, 206 skilled deliveries and 385 fully vaccinations of children if they were technically efficient as their peer health centers for the same year. From the tobit regression, the catchment population and number of administrative staffs were statistically significant determinants of the technical efficiency of health centers. Conclusions The mean technical efficiency of the health centers in East Gojjam zone, Northwest Ethiopia was high. However, nearly half of the health centers were technically inefficient, which indicates the exitance of a space for further improvements in the productivity of these health centers. Employing excess number administrative staffs (above the optimal level) should be discouraged and selecting appropriate sites where the health centers to be constructed (to have large catchment population coverage) could improve the productivity of health centers.

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Avaliação da eficiência técnica dos hospitais de ensino do Brasil utilizando a análise envoltória de dados

Cited by 6 publications

References 12 publications

Approach in Inputs & Outputs Selection of Data Envelopment Analysis (DEA) Efficiency Measurement in Hospital: A Systematic Review

Approach in Inputs & Outputs Selection of Data Envelopment Analysis (DEA) Efficiency Measurement in Hospital: A Systematic Review

Benchmarking non-pharmacological policies from an efficient administration perspective: a panel DEA approach with strategic insights for the post-pandemic

Level of technical efficiency and associated factors among health centers in East Gojjam Zone, Northwest Ethiopia: an application of the data envelopment analysis

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