Measuring the efficiency of the healthcare sector in Poland – a window-DEA evaluation

Miszczyńska, Katarzyna; Miszczyński, Piotr

doi:10.1108/ijppm-06-2020-0276

Cited by 22 publications

(15 citation statements)

References 84 publications

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“…, 2019; Blass et al. , 2017; Miszczynska and Miszczyński, 2022; Pasqualini et al. , 2016; Sumaedi et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Various sustainability performance assessment frameworks have been developed in numerous studies; however, little attention has been paid to the healthcare industry and to hospitals in particular (Hussain et al, 2018). The evaluation of sustainability performance in hospitals is still in its infancy, and the majority of the research carried out in this field focuses on specific areas, such as environmental performance, service quality, patient satisfaction, cost management, productivity and efficiency (Ansari et al, 2019;Blass et al, 2017;Miszczynska and Miszczy nski, 2022;Pasqualini et al, 2016;Sumaedi et al, 2016a, b). For example, Pink et al (2001) have considered hospital performance evaluation from four perspectives: patient satisfaction, clinical utilization and outcomes, financial performance, and system integration and change.…”

Section: Performance Evaluation In Hospitalsmentioning

confidence: 99%

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A hybrid multi-criteria decision-making approach for hospitals’ sustainability performance evaluation under fuzzy environment

Regragui

Sefiani

Azzouzi

et al. 2023

IJPPM

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PurposeHospital structures serve to protect and improve public health; however, they are recognized as a major source of environmental degradation. Thus, an effective performance evaluation framework is required to improve hospital sustainability. In this context, this study presents a holistic methodology that integrates the sustainability balanced scorecard (SBSC) with fuzzy Delphi method and fuzzy multi-criteria decision-making approaches for evaluating the sustainability performance of hospitals.Design/methodology/approachInitially, a comprehensive list of relevant sustainability evaluation criteria was considered based on six SBSC-based dimensions, in line with triple-bottom-line sustainability dimensions, and derived from the literature review and experts’ opinions. Then, the weights of perspectives and their respective criteria are computed and ranked utilizing the fuzzy analytic hierarchy process. Subsequently, the hospitals’ sustainable performance values are ranked based on these criteria using the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution.FindingsA numerical application was conducted in six public hospitals to exhibit the proposed model’s applicability. The results of this study revealed that “Patient satisfaction,” “Efficiency,” “Effectiveness,” “Access to care” and “Waste production,” respectively, are the five most important criteria of sustainable performance.Practical implicationsThe new model will provide decision-makers with management tools that may help them identify the relevant factors for upgrading the level of sustainability in their hospitals and thus improve public health and community well-being.Originality/valueThis is the first study that proposes a new hybrid decision-making methodology for evaluating and comparing hospitals’ sustainability performance under a fuzzy environment.

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“…, 2019; Blass et al. , 2017; Miszczynska and Miszczyński, 2022; Pasqualini et al. , 2016; Sumaedi et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Performance Evaluation In Hospitalsmentioning

confidence: 99%

A hybrid multi-criteria decision-making approach for hospitals’ sustainability performance evaluation under fuzzy environment

Regragui

Sefiani

Azzouzi

et al. 2023

IJPPM

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“…Windows for the three-year window-DEA application (Muhammad, Ra & Farooq, 2018) The main advantage of the approach with this method is the successful treatment of small samples of data and the examination of trends in efficiency change in different time periods (Ohe & Peypoch, 2016). The method serves to assess technical efficiency in individual regions, allowing quantification of regional disparities, but also allows comparison of results from year to year (Miszczynska, & Miszczyński, 2021). Window DEA has been widely used in the study of changing hospital efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Greek health system efficiency and productivity: A window DEA and Malmquist method measurement

Farantos¹,

Koutsoukis²

2022

10.5267/j.jfs

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To calculate the change in the values of efficiency and productivity of public hospitals in Greece during the period 2015 to 2019. The calculation of the efficiency values includes the technical, pure and scale efficiency using the window-DEA method and the productivity change using the Malmquist index. The source of the data used to calculate the change in the efficiency of Greek public hospitals is the statistical databases of the Greek Ministry of Health that have resulted from the collection of data through Information Systems in combination with data provided by the Greek Statistical Authority (ELSTAT). The design of the study was based on the realization of a Window DEA study and the calculation of the Malmquist index with its components. The study was designed to measure the change in efficiency and productivity but over a relatively long period of time. The data were obtained from the databases of both financial and operational data of Greek Public Hospitals held by the Greek Ministry of Health and located on the Ministry’s website. Also, additional data were requested and obtained from ELSTAT. The data were examined and those which were appropriate for the conduct of the study were selected. The technical efficiency of Greek hospitals follows a slightly upward trend with ups and downs. Their pure efficiency follows a steady course with ups and downs. Scale efficiency is on an upward course. Productivity exhibits an overall negligible change. The research’s fluctuation of the inputs and outputs determines the change in the values of efficiency and, in combination with technological change, of productivity. During the period under study, the best placement of Greek hospitals on the scale is achieved in terms of their size. Hospital management cannot achieve better utilization of resources. A parallel increase of some of the inputs and outputs prevents increase in the values of technical and pure efficiency. The change in efficiency constrains the change in productivity.

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“…Their ultimate purpose for the healthcare system is to maximize the population’s health and alleviate health inequalities [ 3 ]. Thus, the public and private health sectors are often viewed as being critical roles of resources to improve the efficiency of healthcare resource utilities [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

A Dynamic DEA Analysis of Health Output Efficiencies of Cities and Counties in Taiwan

Chuang

Yeh

2023

IJERPH

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This research utilizes the dynamic slack-based measure (DSBM) model to evaluate health output efficiencies in Taiwan’s administrative districts from 2014 to 2018. To measure health output efficiency, it adopts four input variables, one output variable, and one carry-over (exercise expenditure). This paper includes both public goods in totals and private goods per capita as the inputs of health output. Empirical results indicate that health output efficiencies in the south and east areas relatively lower. Lastly, the overall efficiency of urban areas may not be better than that in non-urban areas.

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Measuring the efficiency of the healthcare sector in Poland – a window-DEA evaluation

Cited by 22 publications

References 84 publications

A hybrid multi-criteria decision-making approach for hospitals’ sustainability performance evaluation under fuzzy environment

A hybrid multi-criteria decision-making approach for hospitals’ sustainability performance evaluation under fuzzy environment

Greek health system efficiency and productivity: A window DEA and Malmquist method measurement

A Dynamic DEA Analysis of Health Output Efficiencies of Cities and Counties in Taiwan

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