Determinants of inpatient costs of angina pectoris, myocardial infarction, and heart failure in a university hospital setting in Turkey

• Published in: Anatolian journal of cardiology 2015-04, Vol.15 (4), p.325-333
• Main Authors: Sözmen, Kaan, Pekel, Özlem, Yılmaz, Tuba Sevim, Şahan, Ceyda, Ceylan, Ali, Güler, Ercan, Korkmaz, Eren, Ünal, Belgin
• Format: Article
• Language: English
• Subjects: Aged; Angina Pectoris - economics; Angina Pectoris - epidemiology; Female; Health Care Costs - statistics & numerical data; Heart Failure - economics; Heart Failure - epidemiology; Hospitalization - economics; Hospitals, University; Humans; Male; Middle Aged; Myocardial Infarction - economics; Myocardial Infarction - epidemiology; Original Investigation; Retrospective Studies; Socioeconomic Factors; Turkey - epidemiology
• ISSN: 2149-2263; 2149-2271
• DOI: 10.5152/akd.2014.5320

This study aimed to determine the correlates of in-hospital costs for angina pectoris (AP), myocardial infarction (MI), and heart failure (HF) in a university hospital setting. This is a retrospective cost-of-illness study using data from the records of patients who were admitted with AP, MI, or HF to Dokuz Eylül University Hospital during 2008. Direct medical costs were calculated from the Social Security Institute perspective using a bottom-up approach. Socio-demographic and clinical information was abstracted from patient files. Costs were presented in Turkish lira (TL). A generalized linear model was used in the multivariate analysis. We included 337 in-patients in total in the study. AP was present in 26.4% (n=89), MI was present in 55.8% (n=188), and HF was present in 17.8% (n=60) of patients. MI was the most costly disease (2760 TL), followed by HF (2350 TL) and AP (1881 TL). The largest proportion of the total cost was formed by medical interventions (27.5%), followed by surgery (22.2%). Presence of DM, smoking, diagnosis of MI, HF, need for intensive care, and resulting in death were strong predictors of treatment costs. Both preadmission characteristics of patients (diabetes mellitus, smoking, use of anti-aggregant before admission) and in-patient characteristics (diagnosis, coronary artery bypass grafting, intensive care need, death) predicted the hospital cost of cardiovascular diseases (CVDs) independently. Our results may be used as input for health-economic models and economic evaluations to support the decision-making of reimbursement and the cost-effectiveness of public health interventions in healthcare.