"Big Data" Health - Economics Research Group
Prof. Dr. Imre Boncz
Group activities
The main objective of the Health Economics sub-programme is to investigate the epidemiological, social and health-economic context of human reproduction.
The epidemiological study will identify the population-level risk factors that occur with cumulative frequency in individuals participating in an artificial insemination programme. The analysis of social factors will include an assessment of the quality of life of individuals undergoing IVF using general and condition-specific questionnaires. This will include quality of life before, during and after the intervention. In the framework of health economic analysis, a national health insurance burden of disease assessment of reproduction-related morbidities, health gain determination, cost-effectiveness of IVF procedures and national economic returns will be determined.
The data content of the Reproductive Procedures Database is regulated by Government Decree 339/2008 (XII. 30.) on the scope of the mandatory publication of outcome data and statistics related to human reproductive procedures, the method and place of publication and the method of control.
The research programme will review the current data collection system for reproductive procedures, propose new data collection and validation procedures, and establish a National Reproduction Registry.
The research programme will be based to a large extent on the national database of the National Health Insurance Fund of Hungary (NHIF), in compliance with the relevant data protection provisions. Research based on large-scale databases of tens or hundreds of thousands of patients (big data), together with data from a wide range of routine daily medical activities (real-world data), will complement the results of human clinical trials (mostly randomised controlled trials), which are usually based on a few hundred patients.
