Efficiency Evaluation of Hospitals in the Environment of the Czech and Slovak Republic

Sendek, Stanislav; Svitálková, Zuzana; Angelovičová, Katarína

doi:10.11118/actaun201563062109

Cited by 8 publications

(8 citation statements)

References 21 publications

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“…Its particular application in the healthcare sector can be found in studies of Kazley and Ozcan [ 33 ] or Jia and Yuan [ 31 ]. In Slovakia, the issue of healthcare and the application of the DEA window analysis method were dealt with by Sendek et al [ 60 ], who focused on assessing the efficiency of hospitals in the Czech and Slovak Republics using the BCC model. Many authors prefer the application of DEA methods due to several advantages like simultaneous use of multiple inputs and outputs (e.g.…”

Section: Introductionmentioning

confidence: 99%

Healthcare efficiency assessment using DEA analysis in the Slovak Republic

2018

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A regional disparity is becoming increasingly important growth constraint. Policy makers need quantitative knowledge to design effective and targeted policies. In this paper, the regional efficiency of healthcare facilities in Slovakia is measured (2008–2015) using data envelopment analysis (DEA). The DEA is the dominant approach to assessing the efficiency of the healthcare system but also other economic areas. In this study, the window approach is introduced as an extension to the basic DEA models to evaluate healthcare technical efficiency in individual regions and quantify the basic regional disparities and discrepancies. The window DEA method was chosen since it leads to increased discrimination on results especially when applied to small samples and it enables year-by-year comparisons of the results. Two stable inputs (number of beds, number of medical staff), three variable inputs (number of all medical equipment, number of magnetic resonance (MR) devices, number of computed tomography (CT) devices) and two stable outputs (use of beds, average nursing time) were chosen as production variable in an output-oriented 4-year window DEA model for the assessment of technical efficiency in 8 regions. The database was made available from the National Health Information Center and the Slovak Statistical Office, as well as from the online databases Slovstat and DataCube. The aim of the paper is to quantify the impact of the non-standard Data Envelopment Analysis (DEA) variables as the use of medical technologies (MR, CT) on the results of the assessment of the efficiency of the healthcare facilities and their adequacy in the evaluation of the monitored processes. The results of the analysis have shown that there is an indirect dependence between the values of the variables over time and the results of the estimated efficiency in all regions. The regions that had low values of the variables over time achieved a high degree of efficiency and vice versa. Interesting knowledge was that the gradual addition of variables number of MR, number of CT and number of medical devices together, to the input side did not have a significant impact on the overall estimated efficiency of healthcare facilities.

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Section: Introductionmentioning

confidence: 99%

Healthcare efficiency assessment using DEA analysis in the Slovak Republic

2018

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“…According to these authors, we could not assume that the healthcare sectors have the same (or very similar) size and we could not assume that there are proportionate changes between input and output variables, which is a condition in case of the constant returns to scale assumption. Also, Sendek et al (2015) pointed to the fact, that we could not expect that the increase in bed capacities or of any other input necessarily lead to the same increase of hospitalisation and outpatient services, which could be considered as relatively stable in the region during the analysed period. On the other hand, Jacobs et al (2006) pointed to the fact, that in the healthcare sector the input and output variables often have the form of ratios rather than absolute numbers (e.g.…”

Section: Resultsmentioning

confidence: 97%

“…For example, Retzlaff-Roberts et al (2004), Adang and Borm (2007), Ramírez-Valdivia et al (2011), Hadad et al (2013, Medeiros and Schwierz (2015), Samut and Cafri (2016) applied the basic model to evaluate efficiency in OECD countries, and EU countries. In the condition of the Czech Republic and Slovakia we can find the application of the basic DEA models in study of Grausová et al (2014), Grausová et al (2015), Vaňková and Vrabková (2014), Sendek et al (2015), Stefko et al (2016), Staňková and Papadaki (2017). Retzlaff-Roberts et al (2004) analysed the technical efficiency in OECD countries in 1998.…”

Section: Literature Reviewmentioning

confidence: 99%

The Efficiency of Public Health and Medical Care Systems in EU Countries: Dynamic Network Data Envelopment Analysis

Kočišová¹,

Sopko²

2020

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Our paper analyses the technical efficiency and the change in the efficiency of the healthcare systems in 23 European Union (EU) countries between 2008 and 2016 based on the data published by OECD. We apply Dynamic Network Data Envelopment Analysis (DNDEA) to assess the efficiency of the medical care system and public health system, together with overall healthcare system efficiency. The findings suggest that the efficiency of public health systems in 2016 were higher than the efficiency of medical care systems in the same year only in Denmark. In the case of France, Hungary, Ireland, Lithuania, Poland, Portugal, Spain and the United Kingdom, the medical systems were more efficient. The model marked Austria, Czech Republic, Estonia, Finland, Germany, Greece, Italy, Latvia, Luxembourg, Netherlands, Slovak Republic, Slovenia and Sweden as efficient in terms of the medical care system as well as the public health system in 2016.

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“…The studies we researched prove that a dichotomous approach founded on the smoking history of oncological patients has a sound basis and is instrumental in better understanding the changes in various QOL domain resulting in a more consistent and targeted response to patient therapy and life-style within both health and nursing care. In addition, we would like to draw attention to electronic healthcare (e-health) as a promising means of computerizing the processes involved in health-care provision (Sendek, Svitálková, Angelovičová, 2015). Health records, for instance, could be based on advanced computer (datamining) techniques and outputs from clinical decision-support systems based on algorithms of patient risk evaluation.…”

Section: Discussionmentioning

confidence: 99%

Relationship between quality of life of lung cancer patients and smoking

Dimunová¹,

Veselská²,

Rakova³

et al. 2018

Cent Eur J Nurs Midw

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Aim: To describe the relationship between quality of life (QOL) and cigarette smoking among lung cancer patients as measured by the functional and lung cancer symptom scale. Design: Data for this exploratory study were collected using a cross-sectional model. Methods: The research sample consisted of 198 patients from six hospitals in Slovakia. Two questionnaires were used in this study, the EORTC QLQ-C30 (version 3) and its module EORTC QLQ-LC13. Results: The average age of respondents was 60.28 (SD ± 13.83). 40% of patients were current smokers, 39% were former smokers, and 21% were non-smokers. Global health status and physical functioning were better among non-smokers in comparison with former smokers and current smokers. Significant differences were found in symptomspain, dyspnoea, coughing, haemoptysis, dysphagia, pain in chest, and pain in other parts, all of which were worse among current smokers and former smokers in comparison with non-smokers. Conclusion: Smoking seems to be a risk factor that has an impact on the quality of life of the patients with lung cancer. It is necessary to improve interventions focusing on prevention and overcoming of addiction to smoking in a multidisciplinary context.

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Efficiency Evaluation of Hospitals in the Environment of the Czech and Slovak Republic

Cited by 8 publications

References 21 publications

Healthcare efficiency assessment using DEA analysis in the Slovak Republic

Healthcare efficiency assessment using DEA analysis in the Slovak Republic

The Efficiency of Public Health and Medical Care Systems in EU Countries: Dynamic Network Data Envelopment Analysis

Relationship between quality of life of lung cancer patients and smoking

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