Governments are increasingly looking to vaccination to provide a path out of the COVID-19 pandemic. Hungary offers an example to investigate whether social inequalities compromise what a successful vaccine program can achieve. COVID-19 morbidity, mortality, and vaccination coverage were characterized by calculation of indirectly standardized ratios in the Hungarian population during the third pandemic wave at the level of municipalities, classified into deprivation quintiles. Then, their association with socioeconomic deprivation was assessed using ecological regression. Compared to the national average, people living in the most deprived municipalities had a 15–24% lower relative incidence of confirmed COVID-19 cases, but a 17–37% higher relative mortality and a 38% lower vaccination coverage. At an ecological level, COVID-19 mortality showed a strong positive association with deprivation and an inverse association with vaccination coverage (RRVaccination = 0.86 (0.75–0.98)), but the latter became non-significant after adjustment for deprivation (RRVaccination = 0.95 (0.84–1.09), RRDeprivation = 1.10 (1.07–1.14)). Even what is widely viewed as one of the more successful vaccine roll outs was unable to close the gap in COVID-19 mortality during the third pandemic wave in Hungary. This is likely to be due to the challenges of reaching those living in the most deprived municipalities who experienced the highest mortality rates during the third wave.
30 September 2011 in European Journal of Public Health
Background: Recently, research focus has returned to amenable mortality to health care, despite the decreasing trend, as it remains a significant contributor to social and economic loss due to premature death. This article assesses the trends of amenable mortality over time and, its spatial inequalities with respect to deprivation, in Hungary. Methods: An ecological analysis of mortality amenable to health care was carried out using smoothed indirectly standardized mortality ratios, calculated by full hierarchical Bayesian methods, at municipality level. The association between the spatial distribution of amenable mortality and deprivation was also assessed using a Hungarian specific deprivation index. Results: Trends of mortality amenable to health care were characterized by a decreasing pattern across the studied period, 1996–2008. Areas of significantly high risk of amenable mortality were identified in the North-eastern, Eastern and South-western parts of Hungary. A statistically significant association was found between amenable mortality and deprivation status in both genders. After correcting for bias due to socio-economic confounders, the patterns of areas with excess risks significantly changed. Conclusion: Differences in deprivation alone cannot explain the spatial distribution of mortality amenable to health care. This study highlights the importance of exploring other factors (e.g. health-care system and individual life style) beyond socio-economic status, which affect health inequalities particularly for health policy makers, who are responsible for the mitigation of health disparities.
11 November 2013 in European Journal of Public Health
Background: Excess alcohol consumption is a major public health issue in Hungary, with high mortality rates from alcohol disease. In addition, excess alcohol consumption has been found to differ by socioeconomic and environmental factors. Methods: The spatial pattern of mortality from alcoholic liver disease across Hungary for the period 2005 and 2010, at municipality level, was investigated by sex using Bayesian modelling. The changes in mortality over this 6-year period were analysed using hierarchical spatio-temporal disease mapping. The association between the spatial distribution of mortality from alcoholic liver disease and cirrhosis and deprivation (by sex) was also assessed using a Hungarian-specific deprivation index. Results: A statistically significant association was found between mortality and deprivation status in males. Areas of significantly highest age-adjusted relative risks were found, for males, in the south-western part, and at the eastern border of the country. A number of areas showed area-specific trends that were significantly steeper than the national average mortality trend. Conclusion: Using our findings, population groups with increasing mortality trends were identified, which may help decision makers fund effective health promotion programmes to reduce mortality rates in the working-age population.
This work was designed to investigate antithrombotic drug utilization and its link with the socioeconomic characteristics of specific population groups in Hungary by a comparative analysis of data for prescriptions by general practitioners and the redeemed prescriptions for antithrombotic drugs. Risk analysis capabilities were applied to estimate the relationships between socioeconomic status, which was characterized by quintiles of a multidimensional composite indicator (deprivation index), and mortality due to thromboembolic diseases as well as antithrombotic medications for the year 2016 at the district level in Hungary. According to our findings, although deprivation is a significant determinant of mortality due to thromboembolic diseases, clusters can be identified that represent exemptions to this rule: an eastern part of Hungary, consisting of two highly deprived counties, had significantly lower mortality than the country average; by contrast, the least-deprived northwestern part of the country, consisting of five counties, had significantly higher mortality than the country average. The fact that low socioeconomic status in general and poor adherence to antithrombotic drugs irrespective of socioeconomic status were associated with increased mortality indicates the importance of more efficient control of preventive medication and access to healthcare in all districts of the country to reduce mortality due to thromboembolic diseases.
This study was designed to characterize the spatial distribution of metformin medication used as first-line monotherapy for prevention of T2DM in relationship with the socioeconomic status (level of deprivation) and T2DM mortality at district level in a nationwide cross-sectional ecological study for the first time in a European country, Hungary. Risk analysis was used to estimate the relationships between socioeconomic status, characterized by tertiles of deprivation index, and mortality caused by diabetes, and metformin medication (both prescription and redemption) for the years of 2018 and 2019 at the district level. The spatial distribution of districts with a higher relative frequency of metformin prescriptions and redemptions showed a positive correlation with socio-economic deprivation. Significant association between the relatively high T2DM mortality and the highest level of deprivation could also be detected, but less-deprived regions with high T2DM mortality and low metformin utilization could also be identified. Although the statistical associations detected in this ecological study do not indicate a causal relationship, it is reasonable to suppose that the underuse of metformin medication may contribute to the unfavourable T2DM mortality in certain regions. Our findings underline the need for more effective preventive services including metformin medication to decrease T2DM morbidity and mortality burden.
The aim of this study was to investigate how amenable mortality and related ambulance services differ on a county level in Hungary. The differences in mortality rates and ambulance services could identify counties where stronger ambulance services are needed. The datasets for 2018 consisted of county level aggregated data of citizens between the ages 15–64. The study examined how both the mortality rates and the ambulance rescue deliveries differ from the national average. The analyses were narrowed down to disease groups, such as acute myocardial infarction, hemorrhagic and ischemic stroke. Inequalities were identified regarding the distribution of number of ambulance deliveries, several counties had rates more than double that of the national average. For both mortality and ambulance services some of the counties had significantly better results and others had significantly worse compared to the national average. In Borsod-Abaúj-Zemplén county’s case, hemorrhagic stroke mortality was significantly higher (1.73 [1.35–2.11]), while ambulance deliveries were significantly lower (0.58 [0.40–0.76]) compared to the national average. The research has shown that regarding the investigated mortality rates and ambulance services there are considerable differences between the counties in Hungary. In this regard policy makers should implement policies to tackle these discrepancies.