7TH INTERNATIONAL 17TH NATIONAL CONGRESS ON HEALTH AND HOSPİTAL ADMİNİSTRATİON
Evaluation of Technical Efficiency for Private Health Insurance Companies with Data Envelopment Analysis
Aim: Health insurance is an application that provides financial security for individuals' healthcare needs. It plays an important role in preventing individuals from financial difficulties when faced with unexpected health expenses. Health insurance covers various health services such as surgeries, doctor's examination fees, medicines, tests, and, in some cases, dental treatments. Health insurance in Turkey is divided into two main categories: Compulsory Health Insurance and Private Health Insurance. Compulsory Health Insurance is a health insurance that is mandatory for employees and provided by the state. Private Health Insurance is a type of insurance that individuals can additionally purchase, is more comprehensive and generally includes services provided in private hospitals In recent years, there has been a steady increase in premium production in the health/disease branch of private health insurance. This study was conducted to evaluate the technical efficiency levels of insurance companies operating in the health/disease branch within the insurance sector.Material and Method: In this study, the technical efficiency evaluation of 10 insurance companies operating in the health/disease branch of the insurance sector in 2021 was conducted using Data Envelopment Analysis. The Technical Profit/Balance status of these companies was defined as the output variable, while four input variables were identified: personnel expenses, administrative expenses, marketing expenses, and production expenses. The research was carried out using four input-output-oriented models based on BCC-CCR. Results: In the study, the technical efficiency values in BCC-CCR input-output-oriented models ranged between 0.456 and 0.739, with the number of efficient companies varying between 3 and 6 across all models. Additionally, the scale efficiency of the companies under investigation ranged between 0.636 and 0.648 in input-output-oriented models, and differences were identified in the companies' returns evaluation. Conclusion: It was determined that the insurance companies under study were operating at 63-64% capacity, and 40-70% of the companies were found to be inefficient. In light of these findings, it is recommended that the inefficient insurance companies evaluate their performance from a functional management perspective and undertake corrective actions to improve efficiency.