Use of glucose-lowering drugs in Hungary between 2008 and 2017: the increasing use of novel glucose-lowering drug groups.

AIMS: To analyse glucose-lowering drug utilization, focusing on the novel glucose-lowering drug groups dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists and sodium-glucose co-transporter-2 inhibitors, and the financial burden they entail. METHODS: Crude reimbursed national drug utilization and expenditure data for the entire population of Hungary were obtained from the National Health Insurance Fund for the study period: 2008 to 2017. Data were analysed using the WHO's Anatomical Therapeutic Chemical Classification/defined daily dose system and were expressed in defined daily dose per 1000 inhabitants per day. RESULTS: Total glucose-lowering drug consumption in Hungary showed an 18% increase over the study period, reaching 74.7 defined daily doses per 1000 inhabitants per day, while novel glucose-lowering drug use increased to 11.7 defined daily doses per 1000 inhabitants per day (16% of total glucose-lowering drug use) by 2017. Dipeptidyl-peptidase 4 inhibitor consumption grew to 7.4 defined daily doses per 1000 inhabitants per day by 2017. The most widely used dipeptidyl-peptidase 4 inhibitor was sitagliptin. Glucagon-like peptide-1 receptor agonists were used the least, but by 2017 rose to 1.5 defined daily doses per 1000 inhabitants per day, led by liraglutide. Sodium-glucose co-transporter-2 inhibitors appeared in the utilization data in 2014 and their consumption, mainly empagliflozin, reached 2.8 defined daily doses per 1000 inhabitants per day by 2017. The total expenditure on glucose-lowering drugs increased 94% between 2008 and 2017, and the total cost of novel glucose-lowering drug utilization comprised 44% of the total glucose-lowering drug expenditure in 2017. CONCLUSIONS: Both the use of and the financial burden posed by novel glucose-lowering drugs in Hungary increased steadily between 2008 and 2017. This increase is expected to continue.

Hungarian hospital antibiotic consumption at the regional level, 1996-2005.

BACKGROUND: Regional variations in antibiotic consumption in outpatients have been reported previously, but nothing is as yet known about the regional distribution of antibiotic consumption in the hospital sector in Hungary. This study was designed to explore regional variations and investigate determinants of antibiotic consumption in hospital care in Hungary. MATERIALS AND METHODS: Regional distribution-based antibiotic sales data were obtained for a 10-year period (1996-2005) for the 20 Hungarian counties. Systemic antibacterial use (Anatomical Therapeutic Chemical code: J01) was expressed as the number of defined daily doses (DDD) per 100 patient-days. The multiple linear regression model was applied to investigate the determinants of regional differences in hospital antibiotic consumption. Independent variables related to health care access, utilization of hospital resources, doctors' workload, type of hospital care provided, and patient's characteristics and infections were considered as possible determinants, and data on these variables were obtained for 2 years (2004, 2005). We also tested the association between hospital and ambulatory care antibiotic consumption in Hungarian regions using the Pearson correlation test. RESULTS: For each year during the 1996-2005 study period, there were large and stable variations in total hospital antibiotic consumption (e.g., min-max(1996): 16.0-28.2; min-max(2005): 15.2-32.2 DDD per 100 patient-days) depending on the region. In the two developed models (Model 1 and Model 2), the number of reported infections accounted for 53% of the observed regional variations in hospital antibiotic consumption (Model 1), and the number of reported infections together with the case-mix index were responsible for 61% (Model 2) . Total antibiotic consumption in hospitals showed a positive correlation (R = 0.71, p = 0.002) with total antibiotic consumption in ambulatory care. CONCLUSION: The case-mix index and the number of reported infections explained some of the observed regional variations. However, the moderate value of the models in explaining these regional variations suggest that determinants which could not be explored in this preliminary study may also contribute to regional differences. Future studies should aim at collecting data for each individual hospital as well as data on possible determinants for hospital antibiotic consumption.