The Application of Data Envelopment Analysis for Evaluation of Efficiency of Healthcare Delivery for CVD Patients
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Technická Univerzita v Liberci
Technical university of Liberec, Czech Republic
Technical university of Liberec, Czech Republic
Abstract
The 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.
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Subject(s)
healthcare system efficiency, OECD countries, DEA analysis, efficiency of healthcare delivery, CVD patients
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ISSN
1212-3609