Relation between income inequality and mortality: empirical demonstration

Income Inequality, HIV Stigma, and Preventing HIV Disease Progression in Rural Communities

Antiretroviral therapies (ART) suppress HIV replication, thereby preventing HIV disease progression and potentially preventing HIV transmission. However, there remain significant health disparities among people living with HIV, particularly for women living in impoverished rural areas. A significant contributing factor to HIV-related disparities is a stigma. And yet, the relative contributions of stigma, gender, socio-economics, and geography in relation to health outcomes are understudied. We examined the associations of internalized stigma and enacted stigma with community-level income inequality and HIV viral suppression-the hallmark of successful ART-among 124 men and 74 women receiving care from a publicly funded HIV clinic serving rural areas with high-HIV prevalence in the southeastern US. Participants provided informed consent, completed computerized interviews, and provided access to their medical records. Gini index was collected at the census tract level to estimate community-level income inequality. Individual-level and multilevel models controlled for point distance that patients lived from the clinic and quality of life, and included participant gender as a moderator. We found that for women, income inequality, internalized stigma, and enacted stigma were significantly associated with HIV suppression. For men, there were no significant associations between viral suppression and model variables. The null findings for men are consistent with gender-based health disparities and suggest the need for gender-tailored prevention interventions to improve the health of people living with HIV in rural areas. Results confirm and help to explain previous research on the impact of HIV stigma and income inequality among people living with HIV in rural settings.

Do alternative weighting approaches for an Index of Multiple Deprivation change the association with mortality? A sensitivity analysis from Germany

OBJECTIVES

This study aimed to assess the impact of using different weighting procedures for the German Index of Multiple Deprivation (GIMD) investigating their link to mortality rates.

DESIGN AND SETTING

In addition to the original (normative) weighting of the GIMD domains, four alternative weighting approaches were applied: equal weighting, linear regression, maximization algorithm and factor analysis. Correlation analyses to quantify the association between the differently weighted GIMD versions and mortality based on district-level official data from Germany in 2010 were applied (n=412 districts).

OUTCOME MEASURES

Total mortality (all age groups) and premature mortality (<65 years).

RESULTS

All correlations of the GIMD versions with both total and premature mortality were highly significant (p<0.001). The comparison of these associations using Williams's t-test for paired correlations showed significant differences, which proved to be small in respect to absolute values of Spearman's rho (total mortality: between 0.535 and 0.615; premature mortality: between 0.699 and 0.832).

CONCLUSIONS

The association between area deprivation and mortality proved to be stable, regardless of different weighting of the GIMD domains. The theory-based weighting of the GIMD should be maintained, due to the stability of the GIMD scores and the relationship to mortality.

Income Inequality and Mortality Owing to Breast Cancer: Evidence From Brazil

BACKGROUND

The relationship between breast cancer and inequality income is unclear. This study analyzed the correlation between income inequality and mortality standardized by age and proportional mortality owing to breast cancer among Brazilian women.

PATIENTS AND METHODS

This is an ecological study using data of the federative units and Federal District of Brazil in 2010. The age-standardized mortality owing to breast cancer was estimated using data from the Department of Informatics of Brazil's Unified Health System. Income inequality indicators used included the Gini index, Theil-L index, Palma index, and the ratio of income distribution quintiles obtained from the United Nations Development Program. We used Pearson correlation and linear regression adjusted for income per capita and other variables.

RESULTS

An increase of 0.1 in the Gini index was associated with increases of 9.8 deaths per 100,000 women (95% confidence interval [CI], 1.7-17.9); an increase in the Palma index was associated with increases in mortality of 0.7 deaths per 100,000 women (95% CI, 0.1-1.4), an increase in the Theil-L index was associated with increases in mortality of 4.9 deaths per 100,000 women (95% CI, 1.9-7.9), and of 0.8 (95% CI, 0.2-1.5) in the proportional mortality.

CONCLUSION

Income inequality, as assessed by the Gini, Palma, and Theil-L indexes, is positively associated with an increase in breast cancer mortality in Brazil.

Shape of the association between income and mortality: a cohort study of Denmark, Finland, Norway and Sweden in 1995 and 2003

OBJECTIVES

Prior work has examined the shape of the income-mortality association, but work has not compared gradients between countries. In this study, we focus on changes over time in the shape of income-mortality gradients for 4 Nordic countries during a period of rising income inequality. Context and time differentials in shape imply that the relationship between income and mortality is not fixed.

SETTING

Population-based cohort study of Denmark, Finland, Norway and Sweden.

PARTICIPANTS

We collected data on individuals aged 25 or more in 1995 (n=12.98 million individuals, 0.84 million deaths) and 2003 (n=13.08 million individuals, 0.90 million deaths). We then examined the household size equivalised disposable income at the baseline year in relation to the rate of mortality in the following 5 years.

RESULTS

A steep income gradient in mortality in men and women across all age groups except the oldest old in Denmark, Finland, Norway and Sweden. From the 1990s to 2000s mortality dropped, but generally more so in the upper part of the income distribution than in the lower part. As a consequence, the shape of the income gradient in mortality changed. The shift in the shape of the association was similar in all 4 countries.

CONCLUSIONS

A non-linear gradient exists between income and mortality in most cases and because of a more rapid mortality decline among those with high income the income gradient has become steeper over time.

Understanding the social determinants of health among Indigenous Canadians: priorities for health promotion policies and actions

Background

Indigenous Canadians have a life expectancy 12 years lower than the national average and experience higher rates of preventable chronic diseases compared with non-Indigenous Canadians. Transgenerational trauma from past assimilation policies have affected the health of Indigenous populations.

Objective

The purpose of this paper is to comprehensively examine the social determinants of health (SDH), in order to identify priorities for health promotion policies and actions.

Design

We undertook a series of systematic reviews focusing on four major SDH (i.e. income, education, employment, and housing) among Indigenous peoples in Alberta, following the protocol Preferred Reporting Items for Systematic Reviews and Meta-Analysis-Equity.

Results

We found that the four SDH disproportionately affect the health of Indigenous peoples. Our systematic review highlighted 1) limited information regarding relationships and interactions among income, personal and social circumstances, and health outcomes; 2) limited knowledge of factors contributing to current housing status and its impacts on health outcomes; and 3) the limited number of studies involving the barriers to, and opportunities for, education.

Conclusions

These findings may help to inform efforts to promote health equity and improve health outcomes of Indigenous Canadians. However, there is still a great need for in-depth subgroup studies to understand SDH (e.g. age, Indigenous ethnicity, dwelling area, etc.) and intersectoral collaborations (e.g. community and various government departments) to reduce health disparities faced by Indigenous Canadians.

Incorporation of socioeconomic status indicators into policies for the meaningful use of electronic health records

Socioeconomic status (SES) has an important effect on health. Individuals with lower SES experience more chronic disease, are less likely to receive preventive care, and have shorter life expectancies. As the Affordable Care Act is implemented and increasing numbers of previously uninsured people gain access to health care, the imperative to recognize patients' SES and develop health initiatives that account for the social determinants of health increases. Health care providers across the nation are adopting electronic health records (EHRs). Policies such as Meaningful Use offer opportunities systematically to incorporate the collection of standardized SES indicators into EHRs in ways that improve health, increase the understanding of the relationship between SES and health, and inform future policies. This paper examines the use of SES indicators in research, national surveys, and federal programs and finds adding an income question is the most feasible and optimal SES indicator for the inclusion in EHRs.

Disparities in engagement in care and viral suppression among persons with HIV

BACKGROUND

Engagement across the spectrum of HIV care can improve health outcomes and prevent HIV transmission. We used HIV surveillance data to examine these outcomes.

METHODS

San Francisco residents who were diagnosed with HIV between 2009 and 2010 were included. We measured the characteristics and proportion of persons linked to care within 6 months of diagnosis, retained in care for second and third visits, and virally suppressed within 12 months of diagnosis.

RESULTS

Of 862 persons included, 750 (87%) entered care within 6 months of diagnosis; of these, 72% had a second visit in the following 3-6 months; and of these, 80% had a third visit in the following 3-6 months. Viral suppression was achieved in 50% of the total population and in 76% of those retained for 3 visits. Lack of health insurance and unknown housing status were associated with not entering care (P < 0.01). Persons with unknown insurance status were less likely to be retained for a second visit; those younger than 30 years were less likely to be retained for a third visit. Independent predictors of failed viral suppression included age <40 years, homelessness, unknown housing status, and having a single or 2 medical visits compared with 3 visits.

CONCLUSIONS

Socioeconomic resources and age, not race or gender, are associated with disparities in engagement in HIV care in San Francisco.

Differences in income-related inequality and horizontal inequity in ambulatory care use between rural and non-rural areas: using the 1998-2001 U.S. National Health Interview Survey data

Background

To better understand income-related inequalities in health care use, it is imperative to identify sources of inequalities and assess the extent to which health care use is still related to income after differences in need across the income distribution are accounted for. Little is known regarding rural-urban differences in income-related inequalities and subgroup variation in horizontal inequities in health care use. This study decomposes income-related inequalities in ambulatory care use into contributions of need and non-need factors and compares horizontal inequities of subgroups in rural and non-rural areas.

Methods

This analysis used non-elderly adult samples from the 1998 to 2001 U.S. National Health Interview Survey data. The area of residence was categorized as rural for non-Metropolitan Statistical Area (MSA) and non-rural for MSA. Concentration indices of ambulatory care use were used to gauge income-related inequalities and decomposed into contributing factors. Horizontal inequities were measured using two methods and the results were compared.

Results

Ambulatory care use was disproportionately concentrated in the poor before need adjustment. However, the results of decomposition and horizontal inequity analyses indicate that the pro-poor concentration of health care use was due to greater health care need in low-income groups. Adjusting for need, ambulatory care use was distributed favoring the better-off, to a larger degree in non-rural areas. Health-related variables were the major contributors to income-related inequalities. Non-need factors, including socioeconomic factors, health insurance, and usual source of care, also contributed to income-related inequalities. There were variation in determinants' contributions to income-related inequalities between rural and non-rural populations and subgroup differences in horizontal inequities. Horizontal inequities were greater within non-whites, high school graduates, individuals with private health insurance, and those without a usual source of care with some geographic variation.

Conclusions

Our analysis shows that seemingly pro-poor income-related inequalities in ambulatory care use were largely due to greater health care need among low-income groups. The results demonstrate different contributions of determinants to income-related inequalities and variation in horizontal inequities by subgroup and locale. The findings of this study should help identify targets for policy intervention for each rural and non-rural area.