State-level variations in income-related inequality in health and health achievement in the US

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Abstract

The objective of this study was to examine state-level variations in income-related inequality in health and overall health achievement in the US. Data that were representative of the US and each state in 2001 were extracted from the Current Population Survey 2001. Income-related inequality in health and health achievement were measured by Health Concentration and Health Achievement Indices, respectively. Significant variations were found across states in income-related inequality in health and health achievement. In particular, states in the south and east regions, on average, experienced a higher degree of health inequality and lower health achievement. About 80% of the state-level variation in health achievement could be explained by demographics, economic structure and performance, and state and local government spending and burden. In contrast, medical care resource indicators were not found to contribute to health achievement in states. States with better health achievement were more urbanized, had lower proportions of minority groups, females and the elderly, fewer individuals below the poverty line, larger primary industry, and lower unemployment rates. Also, per capita state and local government spending, particularly the proportion spent on public health, was positively associated with better health achievement. Because of the direct implications of health level and distribution in resource allocation and social norms, states with a lower level of health achievement need to prioritize efforts in increasing and reallocating resources to diminish health inequality and to improve population health.

Section snippets

Background

The positive correlation between poverty and poor health has been well documented in the literature. In studies of the US, income inequality was used to predict health (measured by several indicators such as mortality and prevalence of diseases) at the state level (Kawachi & Kennedy, 1997; Kennedy, Kawachi, & Prothrow-Stith, 1996). Over half of the variation in age-adjusted total mortality was explained by income inequality. Furthermore, one study using multi-level analysis found that

Measures of income-related inequality in health and health achievement

Although inequality in health can be generally measured by contrasting the health status of individuals who differ by socio-economic characteristics, such as educational achievement (Kunst & Mackenbach, 1994) and race/ethnicity, (Baker, Hoel, Mohr, Lipsitz, & Lackland, 2000; Keppel, Pearcy, & Wagener, 2002; Saftlas, Koonin, & Atrash, 2000; Stewart & Silverstein, 2002) income distribution has been predominantly used in the literature because it is the strongest predictor of the availability of

Results

The average health value of the population in the United States was 0.867, with the average health for the states ranging from 0.845 to 0.887. All states in the US including the District of Columbia had a positive HCI, indicating health inequalities favoring the well offs (Table 1). For the entire US population, the HCI had a value of 0.0166, with the states’ values ranging from 0.0072 to 0.0259. The higher the HCI value, the greater the degree of inequalities. All HCIs were significantly

Discussion

The investigation of health inequality suggests that income-related inequality in health exists in not only the developing countries, but also industrialized countries, among which the United States as a nation often ranks at the low end when income-related inequality in health is measured by HCI as in the current study (Humphries & van Doorslaer, 2000; van Doorslaer et al., 1997). It is possible that the lower rank of the United States compared to the other industrialized countries, in terms

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