Ekonomika a management
THE APPLICATION OF DATA ENVELOPMENT ANALYSIS FOR EVALUATION OF EFFICIENCY OF HEALTHCARE DELIVERY FOR CVD PATIENTS
Leading cause of death in Europe and worldwide are cardiovascular diseases (CVDs). According to AstraZeneca (2014), they are estimated to account for 31% of all global deaths, 47% of all deaths in Europe and 40% of all deaths in the European Union (EU). The economic costs to societies of cardiovascular problems are enormous, including sick leave and lost employment, reduced efficiency at work and premature mortality. Patients with CVD cost the EU economy around 210 billion EUR per year. As mentioned by Wilkins et al. (2017), funding for CVDs as a proportion of the total health budget in the EU is estimated to account for 8%, and it ranges from around 19% in Hungary to around 3% in other countries like Denmark, Sweden and Ireland. Around 53% of the total cost is due to direct healthcare costs, 26% to productivity losses and 21% to the informal care of people with CVD. The relatively significant burden of cardiovascular diseases and a high level of resources allocated to healthcare delivery for CVD patients makes the performance in this health area very critical important issue.
Jméno a příjmení autora:
Kristína Kočišová, Małgorzata Cygańska, Magdalena Kludacz-Alessandri
Healthcare system efficiency, OECD countries, DEA analysis, efficiency of healthcare delivery, CVD patients
DOI (& full text):
The focus placed on the efficiency of the healthcare system can vary across the countries. This paper aims to analyse and compare the technical efficiency of medical care for CVD patients across…více
The focus placed on the efficiency of the healthcare system can vary across the countries. This paper aims to analyse and compare the technical efficiency of medical care for CVD patients across selected OECD countries using the data envelopment analysis (DEA) method according to two models. The first 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 efficiency of medical care. We utilise Data Envelopment Analysis (DEA) to calculate the efficiency of medical care for CVD patients in selected OECD countries and establish healthcare systems’ rankings according to TE and efficient healthcare delivery for CVD patients. The study found that the technically efficient countries were not as far efficient when the quality measure was used to calculation of efficiency. On the other hand, some of the technically inefficient countries were performing well concerning efficiency based on a quality measure.
Ekonomika a management