Browsing by Author "Kludacz-Alessandri, Magdalena"
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- ItemThe Application of Data Envelopment Analysis for Evaluation of Efficiency of Healthcare Delivery for CVD Patients(Technická Univerzita v Liberci, ) Kočišová, Kristína; Cygańska, Małgorzata; Kludacz-Alessandri, Magdalena; Ekonomická fakultaThe focus placed on the effi ciency of the healthcare system can vary across the countries. This paper aims to analyse and compare the technical effi ciency of medical care for CVD patients across selected OECD countries using the data envelopment analysis (DEA) method according to two models. The fi rst model (TE) incorporates the quantitative outputs that are connected with the quantity of the hospital outcomes (the number of surgical operations and procedures related to disease of the circulatory system per 100,000 inhabitants; hospital discharge rates for in-patients with diseases of the circulatory system). The second model (QE) includes the quality outputs that are connected with the health outcomes (survival rates of patients with diseases of the circulatory system). A number of cardiologists and angiography equipment per 100,000 inhabitants and total healthcare costs of CVD patients per 100,000 inhabitants were considered as inputs in both models. Secondly, we analyse whether endogenous (institutional arrangements) and exogenous (population behaviour, economic determinants) factors are associated with the effi ciency of medical care. We utilise Data Envelopment Analysis (DEA) to calculate the effi ciency of medical care for CVD patients in selected OECD countries and establish healthcare systems’ rankings according to TE and effi cient healthcare delivery for CVD patients. The study found that the technically effi cient countries were not as far effi cient when the quality measure was used to calculation of effi ciency. On the other hand, some of the technically ineffi cient countries were performing well concerning effi ciency based on a quality measure.
- ItemUse of the DEA method to verify the performance model for hospitals(Technická Univerzita v Liberci, ) Kocisova, Kristina; Hass-Symotiuk, Maria; Kludacz-Alessandri, Magdalena; Ekonomická fakultaThis paper employs the method of data envelopment analysis (DEA) to compare the relative efficiency of Polish hospitals in meso perspective. It means that the indicators selected to measure the performance of hospitals were aggregated at the regional level (a level of 16 Polish provinces). As the hospitals are a critical part of the healthcare system, they are increasingly the subject of analyses aimed at defining, measuring, and improving their performance. Therefore, in the methodology part, we present the DEA as the method for efficiency measurement together with its advantages and limitations. The study attempts to find out which provinces can be used as models and illustrated the areas where inefficient units need to be improved. The hospital input measures included are the Average time of hospitalisation (in days), Average costs of day hospital treatment. The output measures included are the Average number of patients per bed per year, the Share of accredited hospitals as a proportion of the number of all hospitals, net profit per physician. The DEA models are solved using the computer program Frontier Analyst, Version 4. We found that five provinces were efficient and eleven were not, where the efficiency score varied from 76.2% to 100%. Provinces such as Lower Silesia Province, Lublin Province, Lubuskie Province, Świętokrzyskie Province, and Warmia-Masuria Province were the best performers in that they maximised both quantitative and qualitative outcomes. The identification of the strongest and the weakest within provinces could be beneficial in improving the efficiency and performance of the hospitals. The result identifies the inefficient provinces that can improve their efficiency by making the efficient provinces as their role model. This paper is the first published study that benchmarks the performance of healthcare services in Poland.