Development of a Deprivation Index and its relation to premature mortality due to diseases of the circulatory system in Hungary, 1998-2004

Discrepancies between the Spatial Distribution of Cancer Incidence and Mortality as an Indicator of Unmet Needs in Cancer Prevention and/or Treatment in Hungary

There is a rich body of literature on the distribution of cancer incidence and mortality in socioeconomically different world regions, but none of the studies has compared the spatial distribution of mortality and incidence to see if they are consistent with each other. All malignant neoplasms combined and cervical, colorectal, breast, pancreatic, lung, and oral cancers separately were studied in the Hungarian population aged 25-64 years for 2007-2018 at the municipality level by sex. In each case, the spatial distribution of incidence and mortality were compared with each other and with the level of deprivation using disease mapping, spatial regression, risk analysis, and spatial scan statistics. A positive association between deprivation and mortality was found for each type of cancer, but there was no significant association for male colorectal cancer (relative risk (RR) 1.00; 95% credible interval (CI) 0.99-1.02), pancreatic cancer (RR: 1.01; 95%CI 0.98-1.04), and female colorectal cancer incidence (RR: 1.01; 95%CI 0.99-1.03), whereas a negative association for breast cancer (RR: 0.98; 95%CI 0.96-0.99) was found. Disease mapping analyses showed only partial overlap between areas of high incidence and mortality, often independent of deprivation. Our results highlight not only the diverse relationship between cancer burden and deprivation, but also the inconsistent relationship between cancer incidence and mortality, pointing to areas with populations that require special public health attention.

The complex link between socioeconomic deprivation and COVID-19. Evidence from small areas of Catalonia

This ecological study assesses the association between the incidence rate of COVID-19 confirmed cases and socioeconomic deprivation in the Catalan small areas for the first six waves of the pandemic. The association is estimated using Poisson regressions and, in contrast to previous studies, considering that the relationship is not linear but rather depends on the degree of deprivation. The results show that the association between deprivation and incidence varied between waves, not only in intensity but also in its sign. Although it was insignificant in the first, third and fourth waves, the association was positive and significant in the second, becoming significantly negative in the fifth and sixth waves. Interestingly, the evidence suggests that the link between both magnitudes was not homogeneous throughout the distribution of deprivation, the pattern also varying between waves. The results are discussed in view of the role of non-pharmacological interventions and vaccination, as well as potential biases (for example that associated with differences between population groups in the propensity to be tested in each wave).

Comparative analysis of health status and health service utilization patterns among rural and urban elderly populations in Hungary: a study on the challenges of unhealthy aging

The demographic transition poses a significant challenge for health systems, especially in Central and Eastern European (CEE) countries, where the healthcare needs of aging populations are on the rise. This study aimed to describe and compare the health status and utilization of health services among the elderly residing in urban and rural areas of the most deprived region in Hungary. A comprehensive health survey was conducted in 2022, involving a randomly selected sample of 443 older adults (≥ 65 years) in Northeast Hungary. Multivariable logistic regression models adjusting for age, sex, education, financial status, chronic diseases, and activity limitations were used to investigate the association between type of residence and health service use. Among the study participants, 62.3% were female, 38.3% attained primary education, 12.5% reported a bad or very bad financial situation and 52.6% lived in urban areas. Overall, 24% of the elderly rated their health as very good or good (27.8% in urban and 19.7% in rural areas), while 57.8% (52.6% and 63.5% in urban and rural areas) reported limitations in daily activities. Compared to urban residents, rural residents reported lower rates of dentist visits (p = 0.006), specialist visits (p = 0.028), faecal occult blood testing (p < 0.001), colorectal cancer screening with colonoscopy (p = 0.014), and breast cancer screening (p = 0.035), and a higher rate of blood pressure measurement (p = 0.042). Multivariable models indicated that urban residence was positively associated with faecal occult blood testing (OR = 2.32, p = 0.014), but negatively associated with blood pressure (OR = 0.42, p = 0.017) and blood glucose measurements (OR = 0.48, p = 0.009). These findings highlight the influence of residence on health service utilization among older adults in Hungary. Further comprehensive studies are needed to better understand the health needs of the elderly population and to develop policies aimed at promoting healthy aging in CEE countries.

Is area-level socioeconomic deprivation associated with mortality due to circulatory system diseases in Poland?

BACKGROUND

Socioeconomic deprivation (SED) is known to influence cardiovascular health. However, studies analyzing the relationship between deprivation and circulatory system diseases (CSD) in Central and Eastern Europe are limited. This study aimed to assess the relationship between SED and mortality due to CSD at a population level in 66 sub-regions of Poland.

METHODS

The 2010-2014 data regarding mortality and SED components were obtained from the Central Statistical Office. An area-based SED index was calculated based on the higher education rates, employment structure, wages, unemployment, and poverty. The dynamics of changes in mortality due to CSD was expressed by the number of deaths prevented or postponed (DPP) in terciles of the SED index. The associations between the mortality from CSD and SED index were analyzed using multivariate Poisson regression models and generalized estimating equations.

RESULTS

Among men, the percentage of DPP in 2014 was 13.1% for CSD, 23.4% for ischemic heart disease (IHD), and 21.4% for cerebrovascular diseases (CeVD). In the case of women, the proportion of DPP was 12.8, 25.6, and 21.6%, respectively. More deprived sub-regions experienced a greater decrease in CSD-related mortality than less deprived sub-regions. The disparity in mortality reduction between more deprived and less deprived sub-regions was even more pronounced for women. After adjusting for smoking prevalence, average BMI, population density, and changes in mortality over time, it was found that the SED index over the 2010-2014 time period was significantly associated with CSD- and IHD-related mortality for men (respectively 5.3 and 19.5% expected mortality increase per 1-unit increase of SED index), and with IHD- and CeVD-related mortality for women (respectively 30.3 and 23.0% expected mortality increase per 1-unit increase of SED index).

CONCLUSIONS

Significant differences in mortality changes due to CSD in Poland could be observed in relation to socioeconomic deprivation, resulting in reduced health inequalities. To reduce CSD mortality, more comprehensive preventive measures, including approaches addressing the socioeconomic factors, mainly poverty, education and employment, are needed, particularly in less urbanized areas.

Neighborhood social context and suicide mortality: A multilevel register-based 5-year follow-up study of 2.7 million individuals

Previous studies have linked neighborhood social characteristics to suicide mortality. However, the effects of the operational definition of neighborhoods and the general importance of neighborhood context on suicide mortality have received little attention, with most studies using various administrative areas as neighborhood delineations. In this study, neighborhoods were delineated by micro-areas generated with an automated redistricting algorithm and divided by physical barriers, such as large roads. The geographic data were linked to register data on the Danish adult population in the age range of 20-59 years in December 2013 (N = 2,672,799 individuals nested into 7943 neighborhoods). This cohort was followed for five years to evaluate the association between suicide mortality and neighborhood socioeconomic deprivation, social fragmentation, and population density. We used the median hazard ratio (MHR) to quantify the general contextual effect (GCE) of neighborhoods on suicide mortality and hazard ratios to quantify the specific contextual effects (SCEs) using multilevel survival models stratified by age group. The results showed a larger GCE and larger SCEs of neighborhoods on suicide mortality for individuals aged 20-39 years compared with those aged 40-59 years. After controlling for individual characteristics, higher suicide mortality was observed for individuals living in the least densely populated neighborhoods and the most socially fragmented neighborhoods for both age groups. We found cross-level interactions between neighborhood population density and gender and ethnicity for those aged 40-59 years, as well as between neighborhood social fragmentation and ethnicity for those aged 20-39 years. The results indicate that beyond individual characteristics, the neighborhood social context may affect the risk of suicide, especially for people aged 20-39 years.

Opening the black box of the relationship between neighborhood socioeconomic status and mental health: Neighborhood social-interactive characteristics as contextual mechanisms

Previous studies have linked low neighborhood socioeconomic status (NSES) to mental health problems. However, few studies have investigated the mechanisms underlying this association and most focused on the association with negative indicators of mental health, such as symptoms of depression or anxiety. This paper investigated whether neighborhood social characteristics (social interaction, trust, safety, organization participation, and attachment) mediate the association between NSES and mental health. We combined Danish register data with survey data from the North Denmark Region Health Survey 2017. Mental health was assessed with the Rand 12-item Short-form Survey (SF-12). The sample consisted of 14,969 individuals nested in 1047 neighborhoods created with an automated redistricting algorithm. We fitted multilevel structural equation mediation models and used a Monte Carlo simulation method to estimate confidence intervals for the indirect effects. NSES was positively associated with mental health. Neighborhood trust significantly mediated this relationship, accounting for 34% of the association after controlling for other mediators. These results indicate that higher levels of mental health in more affluent neighborhoods are partially explained by higher levels of trust. Improving neighborhood trust could mitigate sociogeographic inequalities in mental health.

Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review

INTRODUCTION

Many studies around the world are undertaken to establish the association between deprivation and public health indicators. Both separate indicators (e.g., income, education, occupation, public security and social support) and complex models (indices) include several indicators. Deprivation indices are actively used in public health since the mid 1980s. There is currently no clear classification of indices.

METHODS

In the current review, data related to deprivation indices are combined and analyzed in order to create a taxonomy of indices based on the results obtained. The search was carried out using two bibliographic databases. After conducting a full-text review of the articles and searching and adding relevant articles from the bibliography, and articles that were already known to the authors, sixty studies describing the use of sixty deprivation indices in seventeen countries were included in the narrative synthesis, resulting in development of a taxonomy of indices. When creating the taxonomy, an integrative approach was used that allows integrating new classes and sub-classes in the event that new information appears.

RESULTS

In the review, 68% (41/60) of indices were classified as socio-economic, 7% (4/60) of indices as material deprivation, 5% (3/60) of indices as environmental deprivation and 20% (12/60) as multidimensional indices.

CONCLUSIONS

The data stimulates the use of a competent approach, and will help researchers and public health specialist in resolving conflicts or inconsistencies that arise during the construction and use of indices.

Characteristics of the Third COVID-19 Pandemic Wave with Special Focus on Socioeconomic Inequalities in Morbidity, Mortality and the Uptake of COVID-19 Vaccination in Hungary

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.

Neighborhood socioeconomic deprivation and psychiatric medication purchases. Different neighborhood delineations, different results? A nationwide register-based multilevel study

Previous studies of neighborhood socioeconomic deprivation and mental health treatment have shown mixed results. Multiple reviews have highlighted that the definition and measurement of neighborhoods can lead to different results, providing one explanation for these mixed findings. This study compares the use of micro-areas created using an automated redistricting algorithm and divided by physical barriers with the use of two administrative units, Danish parishes and postal codes. The geographical data are linked to Danish register data of the Danish population from age 16 in 2017, N = 4,347,001, to measure the association between the purchase of psychiatric medication and neighborhood socioeconomic deprivation using logistic multilevel models. Neighborhood socioeconomic deprivation is associated with a slightly increased probability of redeeming prescriptions for psychiatric medication after controlling for individual sociodemographic composition. However, this association was present only for micro-areas and not for parishes or postal codes. The results indicate that neighborhood effects on psychiatric medication purchases are affected by the neighborhood delineations used and that future studies should carefully consider how neighborhoods are defined and measured.

Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic

Introduction

We describe COVID-19 morbidity, mortality, case fatality and excess death in a country-wide study of municipalities in Hungary, exploring the association with socioeconomic status.

Methods

The spatial distribution of morbidity, mortality and case fatality was mapped using hierarchical Bayesian smoothed indirectly standardised ratios. Indirectly standardised ratios were used to evaluate the association between deprivation and the outcome measures. We looked separately at morbidity and mortality in the 10 districts with the highest and 10 districts with the lowest share of Roma population.

Results

Compared with the national average, the relative incidence of cases was 30%–36% lower in the most deprived quintile but the relative mortality and case fatality were 27%–32% higher. Expressed as incidence ratios relative to the national average, the most deprived municipalities had a relative incidence ratio of 0.64 (CI: 0.62 to 0.65) and 0.70 (CI: 0.69 to 0.72) for males and females, respectively. The corresponding figures for mortality were 1.32 (CI: 1.20 to 1.44) for males and 1.27 (CI: 1.16 to 1.39) for females and for case fatality 1.27 (CI: 1.16 to 1.39) and 1.32 (CI: 1.20 to 1.44) for males and females, respectively. The excess death rate (per 100 000) increased with deprivation levels (least deprived: 114.12 (CI: 108.60 to 119.84) and most deprived: 158.07 (CI: 149.30 to 167.23)). The 10 districts where Roma formed the greatest share of the population had an excess mortality rate 17.46% higher than the average for the most deprived quintile.

Conclusions

Those living in more deprived municipalities had a lower risk of being identified as a confirmed COVID-19 case but had a higher risk of death. An inverse association between trends in morbidity and mortality by socioeconomic conditions should be a cause for concern and points to the need for responses, including those involving vaccination, to pay particular attention to inequalities and their causes.

Social gradient in health-related quality of life among urban middle-age residents in Limassol, Cyprus: research article

Background

Social inequalities in health threaten social cohesion and their investigation is an important research field. Monitoring the health of the population is necessary to identify health needs, design programs focused in people’s needs and to evaluate the effectiveness of health policies.

Methods

A cross-sectional survey using primary data was applied. The study investigated the size and the extent of social inequalities in quality of life and health behaviours in Limassol, Cyprus. Data collection was done door-to-door in the form of survey interviews. The sample consisted of 450 residents aged 45–64 across 45 randomly selected neighbourhoods, that met the selection criteria. The tools used were: Demographic questionnaire, SF 36 Questionnaire, IPAQ- International Physical Activity Questionnaire short form.

Results

The social gradient appears in all social indicators. Physical dimension of health has a strong relationship between health-related quality of life with the education index. Specifically, the range is 12 points for males and 14 points for females (p for interaction = 0.16). Profession systematically appears to have a stronger relationship with men than with women, and is present in both physical and mental dimensions. The range is 13 points for men and 10 points for women (p for interaction = 0.31).

Conclusions

It seems that young highly educated males, employed full time, earning high income and engaging in mild physical activity, have significantly higher level of health-related life quality, compared to other middle age adult groups, living in Limassol. This finding is in agreement with other studies that show correlations between gender and the patterns of risk factors.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-020-10027-6.

Preventive Metformin Monotherapy Medication Prescription, Redemption and Socioeconomic Status in Hungary in 2018-2019: A Cross-Sectional Study

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.

Life expectancy inequalities in Hungary over 25 years: The role of avoidable deaths

Using mortality registers and administrative data on income and population, we develop new evidence on the magnitude of life expectancy inequality in Hungary and the scope for health policy in mitigating this. We document considerable inequalities in life expectancy at age 45 across settlement-level income groups, and show that these inequalities have increased between 1991-96 and 2011-16 for both men and women. We show that avoidable deaths play a large role in life expectancy inequality. Income-related inequalities in health behaviours, access to care, and healthcare use are all closely linked to the inequality in life expectancy.Supplementary material for this article is available at: https://doi.org/10.1080/00324728.2021.1877332.

Investigating the Geographic Disparities of Amenable Mortality and Related Ambulance Services in Hungary

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.

Antithrombotic Preventive Medication Prescription Redemption and Socioeconomic Status in Hungary in 2016: A Cross-Sectional Study

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.

Analysis of Low Cancer Mortality Rates in the Wine Regions of Tokaj and Balaton in Hungary

The age-adjusted death rates (AADRs) due to cancers were investigated in two historical regions of white wines (Tokaj and Balaton) and in Hódmezővásárhely (HMV) as a control territory in Hungary between 2000 and 2010 evaluating 111,910 persons. The results of AADRs due to the eight most frequent types/gastrointestinal cancers were as follows: Tokaj 2120/664, Balaton: 2417/824, HMV: 2770/821, nationwide: 2773/887. The values found in Tokaj and Balaton regions were significantly less than those of HMV and nationwide. However, the least values were found in Tokaj. This Tokaj-related strong difference was not found among the regions in the case of young populations with hematological diseases but only in the older people who have been consuming their wines for decades. Supposedly, this wine-specific anti-cancer phenomenon could be related to the chemical differences existing in the two types of white wines, namely, to the pro-oxidant molecules of Tokaj wines derived from Botrytis cinerea. The roles of red meat consumption, hardness of drinking water, mineral content of soil, and socioeconomic status were negligible. It should be stressed that these data are valid only for these populations, for this period. Noteworthily, the different types of wines may have different effects on mortality rates during long-lasting consumptions.

Availability, access, analysis and dissemination of small-area data

In this era of 'big data', there is growing recognition of the value of environmental, health, social and demographic data for research. Open government data initiatives are growing in number and in terms of content. Remote sensing data are finding widespread use in environmental research, including in low- and middle-income settings. While our ability to study environment and health associations across countries and continents grows, data protection rules and greater patient control over the use of their data present new challenges to using health data in research. Innovative tools that circumvent the need for the physical sharing of data by supporting non-disclosive sharing of information, or that permit spatial analysis without researchers needing access to underlying patient data can be used to support analyses while protecting data confidentiality. User-friendly visualizations, allowing small-area data to be seen and understood by non-expert audiences, are revolutionizing public and researcher interactions with data. The UK Small Area Health Statistics Unit's Environment and Health Atlas for England and Wales, and the US National Environmental Public Health Tracking Network offer good examples. Open data facilitates user-generated outputs, and 'mash-ups', and user-generated inputs from social media, mobile devices and wearable tech are new data streams that will find utility in future studies, and bring novel dimensions with respect to ethical use of small-area data.

The Hardness of Drinking Water Negatively while Socio-Economic Deprivation Positively Correlate with the Age-Adjusted Mortality Rates due to Cardiovascular Diseases in Hungarian Wine Regions

We compared the age-adjusted death rates (AADR) for cardiovascular diseases (CVD) among 206,159 inhabitants analyzed between 2000 and 2010 in four wine territories of Hungary: Tokaj (white wines), Eger (mostly red wines), Balaton (mostly white wines), Szekszárd-Villány (mostly red wines) and Hódmezővásárhely (HMV) (not a wine region). The mortality rates were also assessed from the aspects of total hardness of drinking water and index of socio-economic deprivation (ID). We found the highest cardiovascular mortality in the Tokaj region and HMV. On the other hand, lower numbers of CVD were observed in Szekszárd-Villány, Balaton and Eger. These findings on cardiovascular mortality correlated negatively and significantly with the values of total hardness of drinking waters, which were low in Tokaj and HMV. They were higher in Szekszárd-Villány, Balaton and Eger. Additionally, and surprisingly, the mortality of CVD correlated positively and significantly with the ID values despite of the small numeric differences. The hardness of drinking water and the level of socio-economic state seem to have a greater impact on the mortality rate of CVD than the consumption of “red” or “white” dominant types of wines at a region. This study shows data on a population larger than 200,000 persons.

Geodemographic Area Classification and Association with Mortality: An Ecological Study of Small Areas of Cyprus

Geographical investigations are a core function of public health monitoring, providing the foundation for resource allocation and policies for reducing health inequalities. The aim of this study was to develop geodemographic area classification based on several area-level indicators and to explore the extent of geographical inequalities in mortality. A series of 19 area-level socioeconomic indicators were used from the 2011 national population census. After normalization and standardization of the geographically smoothed indicators, the k-means cluster algorithm was implemented to classify communities into groups based on similar characteristics. The association between geodemographic area classification and the spatial distribution of mortality was estimated in Poisson log-linear spatial models. The k-means algorithm resulted in four distinct clusters of areas. The most characteristic distinction was between the ageing, socially isolated, and resource-scarce rural communities versus metropolitan areas with younger population, higher educational attainment, and professional occupations. By comparison to metropolitan areas, premature mortality appeared to be 44% (95% Credible Intervals [CrI] of Rate Ratio (RR): 1.06-1.91) higher in traditional rural areas and 36% (95% CrI of RR: 1.13-1.62) higher in young semi-rural areas. These findings warrant future epidemiological studies investigating various causes of the urban-rural differences in premature mortality and implementation policies to reduce the mortality gap between urban and rural areas.

Workforce crisis in primary healthcare worldwide: Hungarian example in a longitudinal follow-up study

OBJECTIVE

The study was designed to explore the development of the general practitioner (GP) shortage in primary care and its characteristics in Hungary.

DESIGN

Longitudinal follow-up study over the decade 2007-2016.

METHODS

Analyses were performed on changes in number, age and sex of GPs by practice type (adult, paediatric and mixed), as well as on their geographical distribution and migration between areas characterised by deprivation index (DI) at municipality level. The association between deprivation and vacancy for GPs was studied by risk analysis. The number of population underserved was defined by DI quintile.

SETTING AND SUBJECTS

The study involved all general practices and GPs in the period examined.

MAIN OUTCOME MEASURE

It is showed that the number of general practices with unfilled GP posts was increasing exponentially, mainly in the most deprived areas of the country.

RESULTS

A decrease in the number of GPs in all types of practices, especially in mixed (by 7.7%; p<0.001) and paediatric (by 6.5%; p<0.001) ones, was shown; the number of adult practices with unfilled GP posts doubled, while the number of paediatric practices with a vacancy for a paediatrician more than tripled. The average age of GPs was increased by 3.7 years (p<0.001) in adult, by 5.4 years (p<0.001) in paediatric and by 4.2 years (p<0.001) in mixed practices. In 2007, 52.27% (95% CI 51.03 to 53.5) of the GPs were women, and this rate increased to 56.19% (95% CI 54.93 to 57.44) by the end of the decade. An exponential association between relative vacancy rate and deprivation was confirmed. As a result of the migration of GPs, in the most deprived areas, the number of GPs decreased by 8.43% (95% CI 5.86 to 10.99).

CONCLUSIONS

The workforce crisis in Hungarian primary care is progressively deepening and resulting in more severe inequity in access to healthcare.

Small-area socioeconomic deprivation indices in Cyprus: development and association with premature mortality

BACKGROUND

Area-level measures of socioeconomic deprivation are important for understanding and describing health inequalities. The aim of this study was the development and validation of a small-area index of socioeconomic deprivation for Cypriot communities and the investigation of its association with the spatial distribution of all-cause premature adult mortality.

METHODS

Six area-level socioeconomic indicators were used from the 2011 national population census (low educational attainment, unemployment, not owner occupied household, single-person household, divorced or widowed and single-parent households). After normalization and standardization of the geographically smoothed indicators, Principal Component Analysis (PCA) was used to construct indicator weights. The association between deprivation indices and the spatial distribution of all-cause premature adult mortality was estimated in Poisson log-linear spatial models.

RESULTS

PCA resulted in two principal components explaining the 65.7% of the total variance. The first principal component included four indicators (low educational attainment, single-person households, divorced or widowed and single-parent households, the latter however with a negative loading) and it thought more likely to capture rural-related aspects of deprivation. The second principal component included the other two indicators (unemployment and not owner occupied households) and it is more likely to capture urban-related aspects of material deprivation. Restricting the analysis in the metropolitan areas of the island resulted in a different set of indicators for the urban-specific deprivation index. All developed indices were linearly associated with all-cause premature adult mortality. The all-cause premature adult mortality increased by 17% per 1 standard deviation (SD) increase in rural-related socioeconomic deprivation (95% CrI: 8-27%) and 8% per 1 SD increase in urban-related aspects of material deprivation (95% CrI: 3-15%) in the nationwide analysis and 9% per 1 SD increase in urban-specific socioeconomic deprivation (95% CrI: 4-15%) across metropolitan areas.

CONCLUSIONS

The results of this study demonstrate that a set of small-area indices of socioeconomic deprivation across Cypriot communities have good construct and predictive validity. However, the study indicates that different aspects of socioeconomic deprivation may be important in rural and urban areas in Cyprus. The developed socioeconomic deprivation indices could offer a valid new tool for Cypriot public health research and policy in terms of identifying areas in greatest need, guiding resource allocation and developing area-targeted public health programmes and policies.

High Inequalities Associated With Socioeconomic Deprivation in Cardiovascular Disease Burden and Antihypertensive Medication in Hungary

The wide life expectancy gap between the old and new member states of the European Union is most strongly related to the high rate of premature mortality caused by cardiovascular diseases (CVDs). To learn more about the background of this gap, the relationship of socioeconomic status (SES) with CVD mortality, morbidity and the utilization of antihypertensive drugs was studied in Hungary, a Central-Eastern European country with an extremely high relative risk of premature CVD mortality. Risk analysis capabilities were used to estimate the relationships between SES, which was characterized by tertiles of a multidimensional composite indicator (the deprivation index) and CVD burden (mortality and morbidity) as well as the antihypertensive medications at the district level in Hungary. The excess risks caused by premature mortality from CVDs showed a strong correlation with deprivation using the Rapid Inquiry Facility. The distribution of prevalence values related to these diseases was found to be similar, but in the areas of highest deprivation, where the prevalence of chronic ischaemic heart diseases and cerebrovascular diseases was found to be higher than the national average by 30 and 20%, the prevalence of hypertension exceeded the national average by only 4%. A linear association between the relative frequency of prescriptions/redemptions and deprivation for most antihypertensive drugs, except angiotensinogen receptor blockers, was shown. More intense screening for hypertension is proposed to improve the control of CVDs in countries affected by high disease burden.

Association between the General Practitioner Workforce Crisis and Premature Mortality in Hungary: Cross-Sectional Evaluation of Health Insurance Data from 2006 to 2014

The workforce crisis of primary care is reflected in the increasing number of general medical practices (GMP) with vacant general practitioner (GP) positions, and the GPs’ ageing. Our study aimed to describe the association between this crisis and premature mortality. Age-sex-standardized mortality for 18–64 years old adults was calculated for all Hungarian GMPs annually in the period from 2006 to 2014. The relationship of premature mortality with GPs’ age and vacant GP positions was evaluated by standardized linear regression controlled for list size, urbanization, geographical location, clients’ education, and type of the GMP. The clients’ education was the strongest protective factor (beta = −0175; p < 0.001), followed by urban residence (beta = −0.149; p < 0.001), and bigger list size (beta_1601–2000 = −0.054; p < 0.001; beta_2001−X = −0.096; p < 0.001). The geographical localization also significantly influenced the risk. Although GMPs with a GP aged older than 65 years (beta = 0; p = 0.995) did not affect the risk, GP vacancy was associated with higher risk (beta = 0.010; p = 0.033), although the corresponding number of attributable cases was 23.54 over 9 years. The vacant GP position is associated with a significant but hardly detectable increased risk of premature mortality without considerable public health importance. Nevertheless, employment of GPs aged more than 65 does not impose premature mortality risk elevation.

Delivery of cardio-metabolic preventive services to Hungarian Roma of different socio-economic strata

BACKGROUND

Because the cardiovascular mortality in Hungary is high, particularly among the socio-economically deprived and the Roma, it is implied that primary health care (PHC) has a limited ability to exploit the opportunities of evidence-based preventions, and it may contribute to social health inequalities.

OBJECTIVES

Our study investigated the underuse of PHC preventive services.

METHODS

Random samples of adults aged 21-64 years free of hypertension and diabetes mellitus were surveyed with participation rate of 97.7% in a cross-sectional study. Data from 2199 adults were collected on socio-demographic status, ethnicity, lifestyle and history of cardio-metabolic preventive service use. Delivery rates were calculated for those aged 21-44 years and those aged 45-64 years, and the influence of socio-demographic variables was determined using multivariate logistic regression.

RESULTS

Delivery rates varied between 12.79% and 99.06%, and the majority was far from 100%. Although most preventive service use was independent of education, younger participants with vocational educations underutilized problematic drinking (P = 0.011) and smoking (P = 0.027) assessments, and primary or less educated underutilized blood glucose (P = 0.001) and serum cholesterol (P = 0.005) checks. Health care measures of each lifestyle assessment (P _nutrition = 0.032; P _smoking = 0.021; P _alcohol = 0.029) and waist circumference measurement (P = 0.047) were much less frequently used among older Roma. The blood glucose check (P = 0.001) and family history assessment (P = 0.043) were less utilized among Roma.

CONCLUSIONS

The Hungarian PHC underutilizes the cardio-metabolic prevention contributing to the avoidable mortality, not generating considerably health inequalities by level of education, but contributing to the bad health status among the Roma.

Incorporating Environmental Justice into Second Generation Indices of Multiple Deprivation: Lessons from the UK and Progress Internationally

Second generation area-based indices of multiple deprivation have been extensively used in the UK over the last 15 years. They resulted from significant developments in political, technical, and conceptual spheres for deprivation data. We review the parallel development of environmental justice research and how and when environmental data was incorporated into these indices. We explain the transfer of these methods from the UK to Germany and assess the progress internationally in developing such indices. Finally, we illustrate how billions of pounds in the UK was allocated by using these tools to tackle neighbourhood deprivation and environmental justice to address the determinants of health.

Relationship between Statin Utilization and Socioeconomic Deprivation in Hungary

The risk of premature mortality caused by cardiovascular diseases (CVDs) is approximately three times higher in the Central Eastern European region than in high income European countries, which suggests a lack and/or ineffectiveness of preventive interventions against CVDs. The aim of the present study was to provide data on the relationship between premature CVD mortality, statin utilization as a preventive medication and socioeconomic deprivation at the district level in Hungary. As a conceptually new approach, the prescription of statins, the prescription redemption and the ratio between redemption and prescription rates were also investigated. The number of prescriptions for statins and the number of redeemed statin prescriptions were obtained from the National Health Insurance Fund Administration of Hungary for each primary healthcare practice for the entire year of 2012. The data were aggregated at the district level. To define the frequency of prescription and of redemption, the denominator was the number of the 40+-year-old population adjusted by the rates of 60+-year-old population of the district. The standardized mortality rates, frequency of statin prescriptions, redeemed statin prescriptions, and ratios for compliance in relation to the national average were mapped using the “disease mapping” option, and their association with deprivation (tertile of deprivation index as a district-based categorical covariate) was defined using the risk analysis capabilities within the Rapid Inquiry Facility. The risk analysis showed a significant positive association between deprivation and the relative risk of premature cardiovascular mortality, and a reverse J-shaped association between the relative frequency of statin prescriptions and deprivation. Districts with the highest deprivation showed a low relative frequency of statin prescriptions; however, significantly higher primary compliance (redemption) was observed in districts with the highest deprivation. Our data clearly indicate that insufficient statin utilization is strongly linked to the so-called physician-factor, i.e., a statin prescription. Consequently, statin treatment is poor and represents a significant barrier to reducing mortality, particularly among people living in highly deprived areas of the country.

A new reliable index to measure individual deprivation: the EPICES score

BACKGROUND

Deprivation is associated with inequalities in health care and higher morbidity and mortality. To assess the reliability of a new individual deprivation score, the EPICES score and to analyse the association between the Townsend index, the Carstairs index and the EPICES score and causes of death in one French administrative region.

METHODS

Eligible patients were 16 years old or more who had come for consultation in Health Examination Centres of the French administrative region of Nord-Pas-de-Calais. An ecological study was performed between 2002 and 2007 in the 392 districts of this administrative region. The EPICES score was compared with the Townsend and the Carstairs indices. These three measurements of deprivation were compared with social characteristics, indicators of morbidity, health-care use and mortality and specific causes of death. The Pearson correlation coefficients were calculated to assess the reliability of the EPICES score. The association between deprivation and mortality was assessed by comparison of the standardized mortality ratio (SMR) between the most and least deprived districts.

RESULTS

The EPICES score was strongly correlated with the Townsend and Carstairs indices and with the health indicators measured. SMR increased with deprivation and the higher the deprivation the higher the SMR for all-cause mortality, premature and avoidable deaths and for most specific causes of death.

CONCLUSION

The individual deprivation EPICES score is reliable. Deprivation was related to excess death rate, which clearly indicates that deprivation is a determinant factor that should be considered systematically by health policy makers and health-care providers.

The impact of winter cold weather on acute myocardial infarctions in Portugal

Mortality due to cardiovascular diseases shows a seasonal trend that can be associated with cold weather. Portugal is the European country with the highest excess winter mortality, but nevertheless, the relationship between cold weather and health is yet to be assessed. The main aim of this study is to identify the contribution of cold weather to cardiovascular diseases within Portugal. Poisson regression analysis based on generalized additive models was applied to estimate the influence of a human-biometeorological index (PET) on daily hospitalizations for myocardial infarction. The main results revealed a negative effect of cold weather on acute myocardial infarctions in Portugal. For every degree fall in PET during winter, there was an increase of up to 2.2% (95% CI = 0.9%; 3.3%) in daily hospital admissions. This paper shows the need for public policies that will help minimize or, indeed, prevent exposure to cold.

Hierarchical spatio-temporal mapping of premature mortality due to alcoholic liver disease in Hungary, 2005-2010

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.

A socioeconomic deprivation index for small areas in Denmark

Aims: To describe the development of a deprivation index for Danish parishes and to investigate its association with all-cause mortality compared with the Townsend index and individual-level factors. Methods: Nine socioeconomic factors were aggregated to the parish level from individual-level register data comprising the entire Danish population in 2005. A principal component analysis was conducted to reduce the number of factors and to apply weights. An ecological analysis investigated the association between the Danish Deprivation Index (DANDEX) and standardised mortality ratios in Danish parishes. Results were compared with the Townsend index and a possible modifying effect of population density was investigated. Sensitivity of the index was investigated with multilevel survival analyses evaluating the association between all-cause mortality and DANDEX, the Townsend Index, individual-level socioeconomic factors, and population density. Results: DANDEX consists of two components measuring socioeconomic properties of all 2119 Danish parishes. The first component measures deprivation related to housing (house and car ownership) while the second component is related to classical measures of socioeconomic status (education, income, occupation). A clear gradient in standardised mortality ratios was seen across quintiles of both index components. Modifying effects were seen when stratifying the index components by population density. In a frailty model, DANDEX accounted for 76% of the between-parish variation in all-cause mortality, while the Townsend index and individual socioeconomic factors accounted for 71 and 76%, respectively. Conclusions: The index can be used to identify Danish parishes by their levels of deprivation and it provides municipalities with a tool to allocate resources to the geographic areas where they are most needed.

Mortality amenable to health care and its relation to socio-economic status in Hungary, 2004-08

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.

Evaluation of spatial relationships between health and the environment: the rapid inquiry facility

BACKGROUND

The initiation of environmental public health tracking systems in the United States and the United Kingdom provided an opportunity to advance techniques and tools available for spatial epidemiological analysis integrating both health and environmental data.

OBJECTIVE

The Rapid Inquiry Facility (RIF) allows users to calculate adjusted and unadjusted standardized rates and risks. The RIF is embedded in ArcGIS so that further geographical information system (GIS) spatial functionality can be exploited or results can be exported to statistical packages for further tailored analyses where required. The RIF also links directly to several statistical packages and displays the results in the GIS.

METHODS

The value of the RIF is illustrated here with two case studies: risk of leukemia in areas surrounding oil refineries in the State of Utah (USA) and an analysis of the geographical variation of risk of esophageal cancer in relation to zinc cadmium sulfide exposure in Norwich (United Kingdom).

RESULTS

The risk analysis study in Utah did not suggest any evidence of increased relative risk of leukemia, multiple myeloma, or Hodgkin's lymphoma in the populations around the five oil-refining facilities but did reveal an excess risk of non-Hodgkin's lymphoma that might warrant further investigation. The disease-mapping study in Norwich did not reveal any areas with higher relative risks of esophageal cancer common to both males and females, suggesting that a common geographically determined exposure was unlikely to be influencing cancer risk in the area.

CONCLUSION

The RIF offers a tool that allows epidemiologists to quickly carry out ecological environmental epidemiological analysis such as risk assessment or disease mapping.