Regional indices of socio-economic and health inequalities: a tool for public health programming.

OBJECTIVES: The aim was to provide an affordable method of computing socio-economic (SE) deprivation indices at the regional level, in order to reveal the specific aspects of the relationship between SE inequalities and health outcomes. The Umbria Region Socio-Health Index (USHI) was computed and compared with the Italian National Deprivation Index at the Umbria regional level (NDI-U). METHODS: The USHI was computed by applying factor analysis to census tract SE variables correlated with general mortality and validated through comparison with the NDI-U. RESULTS: Overall mortality presented linear positive trends in USHI, while trends in NDI-U proved non-linear or non-significant. Similar results were obtained with regard to specific causes of death according to deprivation groups, gender and age. CONCLUSIONS: The USHI better describes a local population in terms of health-related SE status. Policy-makers could therefore adopt this method in order to obtain a better picture of SE-associated health conditions in regional populations and to target strategies for reducing health inequalities.

The local Socio-Economic Health Deprivation Index: methods and results.

INTRODUCTION: A socio-economic (SE) deprivation index is a measure that aims to provide an indication of SE hardship and disadvantage in the population. Our aim was constructing 10 Socio-Economonic and Health Deprivation Indexes (SEHDI) by means of the same method. This particular method enables these indexes to be used to investigate the relationships between SE inequalities and aspects of health and prevention in the population. MATERIALS AND METHODS: Data on the demographic and SE situation of the populations were taken from the 2011 Census at the Census Tract (CT) level (2001 for Rome municipality). To construct the SEHDIs, variables displaying a statistically significant correlation with the SMRs of overall mortality were subjected to a tolerance test of linearity, in order to eliminate collinear variables. The variables selected underwent PCA factor analysis, in order to obtain the factors to be linearly combined into the SEHDI. The final values were scaled from minimum to maximum deprivation, and the quantitative scale was converted into five ordinal normalized population groups. The SEHDIs were validated at the SE level by comparing them with the trends of the main SE indexes used in the 2011 Census (2001 for Rome municipality), and at the health level by comparing them with the trends of some causes of death. Both comparisons were made by means of ANOVA. RESULTS: The 10 areas considered were: the municipalities of Cagliari, Ferrara, Florence, Foggia, Genoa, Rome, Palermo, Sassari, Siena, and the ULSS 7 Veneto area. For each one, a specific SEHDI was computed and the different variables comprising each index focused on particular aspects of SE and health deprivation at the area level. The SEHDIs showed good percentages of explained variance (from 72.2% to 49.1%) and a linear distribution of the main statistical SE indices and of overall mortality in each area; these findings were in line with the literature on the relationship between the SE condition and health status of the population. The distribution of cause-specific mortality across the SEHDIs deprivation clusters is analyzed in other articles, which deal with the findings of the study in each area. CONCLUSIONS: The SEHDIs showed good ability to identify the elements of SE inequalities that impact on the health conditions of populations; to depict the distribution of causes of death that are sensitive to SE differences concerning aspects of the social and family support structure. From a public health perspective, these results are relevant because they enable interventions of health promotion and prevention to be implemented on the basis of the characteristics that define deprivation groups.

Analysis of influenza vaccination coverage among the elderly in Genoa (Italy) based on a deprivation index, 2009-2013.

INTRODUCTION: The elderly suffer the most influenza-related complications, and 90% of deaths due to influenza occur in older subjects. Consequently, the elderly are among the main targets of influenza vaccination campaigns. The use of deprivation indexes can help to identify subgroups with lower vaccination uptake. This study analyzed influenza vaccination coverage in elderly persons living in Genoa (Italy) in relation to a local Index of Socio-Economic and Health Deprivation (SEHDI) in order to identify population subgroups needing specific intervention to improve vaccination coverage. METHODS: The study targeted subjects aged ≥ 65 years living in Genoa in the period 2009-2013. Information on vaccination coverage was provided by general practitioners and Local Health Units. A combination of linear regression, factor analysis and cluster analysis was used to construct the SEHDI at Census Tract (CT) level, on the basis of data from the 2011 Italian census. RESULTS: In 2011, people aged ≥ 65 years accounted for the 27.7% of the population of Genoa. Most elderly subjects were assigned to either the medium (45.3%) or medium-high (32%) deprivation groups, while the percentages in the extreme tails were low (3.6% high deprivation; 1.3% low deprivation). Significant, non-linear (p < 0.05 NL) relationships were observed in both sexes with regard to mortality due to all respiratory diseases (RD) and chronic obstructive pulmonary disease (COPD), with the highest Standardized Mortality Ratio (SMR) values in women in the high deprivation group of women (1.81, p < 0.05 RD; 1.79, p < 0.05 COPD). The SMRs for influenza and pneumonia showed a positive linear trend in women (p < 0.05) with the highest value in the high deprivation group (1.97, p < 0.05), while in men the trend was NL (p < 0.05). A positive linear trend (p < 0.05) was found with regard to vaccination coverage, which grew weakly as deprivation increased, up to the medium-high deprived group (from 34.6% to 44.4%). However, the high deprivation group showed the lowest value (33.3%). CONCLUSIONS: The results revealed a relationship between deprivation and influenza vaccination coverage in the elderly. This finding should be taken into account in the organization of vaccination campaigns and should prompt differentiated intervention in each local area.

Application of socio-economic-health deprivation index, analysis of mortality and influenza vaccination coverage in the elderly population of Tuscany.

OBJECTIVE: The aim of this paper is to describe the results obtained from the application of a specific local deprivation index, to general and cause-specific mortality and influenza vaccination coverage among elderly people in the municipality of Florence. METHODS: General and cause-specific mortality data (2009-2013) and influenza vaccination coverage data (2015/16 and 2016/17) were collected for subjects aged ≥ 65 years residing in the municipality of Florence (Tuscany), at the 2011 Census section level. A Socio-Economic and Health Deprivation Index (SEHDI) was constructed and validated by means of socio-economic indicators and mortality ratios. RESULTS: Half of the population of Florence belonged to the medium deprivation group; about 25% fell into the two most deprived groups, and the remaining 25% were deemed to be wealthy. Elderly people mostly belonged to the high deprivation group. All-cause mortality and cause-specific mortality (cancer and respiratory diseases) reached their highest values in the high deprivation group. Influenza vaccination coverage (VC) was 54.7% in the 2015/16 and 2016/17 seasons, combined. VC showed a linear rising trend as deprivation increased and appeared to be correlated with different factors in the different deprivation groups. CONCLUSIONS: As socio-economic deprivation plays an important role in health choices, application of the SEHDI enables us to identify the characteristics of the main sub-groups of the population with low adherence to influenza vaccination. The results of the present study should be communicated to General Practitioners, in order to help them to promote influenza vaccination among their patients.

Analysis of influenza vaccination coverage among the elderly living in Rome, based on a deprivation index, 2009-2013.

INTRODUCTION: Elderly people are more likely to develop influenza-related complications. However, despite the recommendations, the optimal vaccination coverage is not reached. The use of deprivation indexes can help to identify subgroups with lower vaccination uptake. We analyzed vaccination coverage among elderly subjects living in the city of Rome on the basis of their socioeconomic characteristics by using a local deprivation index. METHODS: We focused on the population aged ≥ 65 years living in the city of Rome from 2009 to 2013. Information on vaccination coverage was collected from general practitioners. A combination of multivariate techniques, including multiple linear regression, factor and cluster analysis, was used to construct a composite area-based Index of Socio-Economic and Health Deprivation (SEHDI). The index was calculated for each census tract on the basis of data from the 2001 Italian census. RESULTS: The majority of elderly subjects living in Rome belonged to the medium (40.4%) and medium-high (24%) deprivation groups; only 4.5% of the population was in the low-deprivation group. An inverse relationship was found between influenza vaccination coverage and the deprivation index: elderly subjects in the low-deprivation group displayed lower coverage (55.45%) than those in the high-deprivation group (57.59%). Specifically, vaccination coverage decreased with the increase of replacement index, employment rate and the percentage of: single and divorced individuals; university and high-school graduates; employees, entrepreneurs and freelancers, family assistants, students; foreigners and stateless persons residing in Italy; families consisting of one person. CONCLUSIONS: Our results show an inverse relationship between deprivation and vaccination coverage and may help to identify subgroups that could benefit from targeted initiatives to increase vaccination coverage.

Identifying Ferrara's elderly people with low influenza immunization rates: the contribution of a local socio-economic deprivation index.

Influenza immunization coverage rates remain far below the optimal value recommended by the World Health Organization, even in groups considered at high risk, such as the elderly. A possible explanation for this suboptimal vaccination uptake may be deprivation. A specifically developed local deprivation index was proposed for the classification of residents in the municipality of Ferrara in order to evaluate the characteristics of subjects over 65 years of age who accepted/refused influenza immunization (2010-2015). The variables building this deprivation index were primarily related to demographic aspects, such as age, widow/widower status, education, family composition and housing characteristics. Influenza immunization coverage rates were unsatisfactory in all categories of deprivation. A statistically significant decreasing trend in coverage rates was observed with decreasing deprivation in the general population and in males, but not in females. In addition to factors composing the local deprivation index, being separated, living in a family of three members and independent contractor were features that hindered immunization among very deprived elderly.

Influenza vaccination coverage and deprivation among the elderly in the municipality of Cagliari: results and perspectives.

INTRODUCTION: The elderly are among the main targets of influenza vaccination campaigns. Previous studies have shown that socio-economic status influences compliance with influenza vaccination, particularly in the elderly. Deprivation indexes can therefore be useful in identifying population groups with lower vaccination uptake and guide targeted intervention to improve vaccination coverage. We analysed the correlation between influenza vaccination coverage and levels of socio-economic and health deprivation among the population of Cagliari, by means of an Index of Socio-Economic and Health Deprivation (SEHDI) specifically tailored to the city, in order to identify population subgroups needing specific intervention to improve vaccination coverage. METHODS: A combination of linear regression, factor analysis and cluster analysis was adopted in order to build the SEHDI at the Census Tract (CT) level; data were taken from the 2011 Italian Census. Mortality among subjects aged ≥ 65 years in Cagliari in the period 2013-2015 was used to select the SEHDI variables. On the basis of the SEHDI, his population was classified into five normalised deprivation groups. Information on vaccination coverage was provided by general practitioners and Local Health Units. Cause-specific mortality and information on vaccination coverage in the deprivation groups were analysed by means of ANOVA (F test at p < 0.05). RESULTS: Around 20% of the Cagliari population was seen to be living in disadvantaged conditions. The trends in Standard Mortality Rates (SMRs) for all causes and for respiratory diseases, chronic obstructive pulmonary diseases (COPD), influenza and pneumonia were analysed across the deprivation groups. Pneumonia and flu mortality rates displayed a non-linear trend in men and a positive linear trend in women. Flu vaccination uptake rates were low: 27%. Coverage proved to be lower in the two extreme categories and higher in the medium deprivation ones. CONCLUSIONS: The correlation between low vaccination coverage and socio-economic deprivation not only underlines the important role of vaccination in safeguarding health, but also the fact that it can be considered a factor in ensuring the system's equality, thanks to its role in limiting health impacts on those living in the most problematic or disadvantaged circumstances. It also stresses the characteristics which contribute to low compliance. Therefore, this finding should be taken into account in the organization of vaccination campaigns and should prompt differentiated interventions in each local area.