Rural racial/ethnic minorities constitute a forgotten population. The limited research addressing rural Black, Hispanic, and American Indian/Alaska Native populations suggests that disparities in health and in health care access found among rural racial/ethnic minority populations are generally more severe than those among urban racial/ethnic minorities.

We suggest that disparities must be understood as both collective and contextual phenomena. Rural racial/ethnic minority disparities in part stem from the aggregation of disadvantaged individuals in rural areas. Disparities also emerge from a context of limited educational and economic opportunity. Linking public health planning to the education and economic development sectors will reduce racial/ethnic minority disparities while increasing overall well-being in rural communities.

Optimal health outcomes will not be achieved without a better balance in the medical and nonmedical determinants of health.

Kindig D et al.1(p1933)

DISPARITIES IN HEALTH resources and health outcomes among racial/ethnic minority populations have long been a recognized public health problem.2,3 However, rural racial/ethnic minorities are among the most understudied and under-served of all groups in the United States.4 Assessment, a key public health function,5 has often bypassed these populations.

Annual national tracking statistics, such as the Health US and Advance Data series published by the National Center for Health Statistics, present health indicators by race/ethnicity and by rural/urban residence but seldom report subsets within those categories. Important studies, such as the Community Tracking Study, generally report only national data,6 even when racial/ethnic minority populations are examined.7 The Agency for Healthcare Research and Quality attempted to examine racial/ethnic minority status and rurality simultaneously in its National Healthcare Disparities Report, but lack of data limited the analyses.8 In the rural research literature, published information is often insufficient to enable the reader to estimate prevalences within rural racial/ethnic minority populations. As a result, the extent of disparities in health, insurance, and health care experienced by rural racial/ethnic minorities is not adequately tracked, nor are strengths and advantages of rural communities identified and explored as potential models.

Research assessing rural racial/ethnic minorities is seldom conducted, perhaps because researchers fear that their work will be characterized as “discovering the obvious.”4(p234) However, aggregate rural statistics tend to reflect the White population. Of approximately 55 million persons residing outside metropolitan counties, 46 million (84%) are White. About 4.5 million (8%) are Black, 2.6 million (5%) are non-Black Hispanic, and 870 000 are American Indian/Alaska Native with about 745 000 Asian/Pacific Islanders (estimates developed by the authors from 2000 National Health Interview Survey data). Aggregate statistics obscure the situation of rural racial/ethnic minorities. Further, although the effect of racial/ethnic minority status is generally similar across rural and urban areas, the combined effects of rural residence and minority race/ethnicity can result in greater disadvantage than these characteristics alone.

Our article has a dual purpose. First, we wish to end the invisibility of rural racial/ethnic minorities. We hope to convince public health practitioners that these populations are sufficiently large, sufficiently distinct, and in many cases sufficiently disadvantaged to merit study. Second, we wish to highlight the role of community context in shaping health for rural racial/ethnic minority populations. Disadvantage among rural racial/ethnic minorities is a function of place as well as race, and programs designed to reduce disparities must address the role of community institutions in shaping individual experience.

A conceptual issue pertinent to geographic and race/ethnicity data is the distinction between collective and contextual effects.9 To some extent, information on rural racial/ethnic minorities describes “collective effects” resulting from the concentration of persons with certain characteristics. Public health research often incorporates collective effects, as when models control for median income in a neighborhood as well as individual economic status.10 Equally important, although more difficult to address, are “contextual effects . . . the broader political, cultural, or institutional context. . . .”9(p651) A review of 25 studies identified only 1 variable that explicitly pertained to the community (number of community groups) rather than being an aggregate of persons residing within the community.10 Increasing attention is being paid to contextual effects and how these are appropriately conceptualized and measured, although full agreement has not yet been reached.11 When we speak of contextual effects, we refer to culture and its expression through social institutions as well as resource availability. For example, states in which the segment of the population whose household income is below the federal poverty level and disproportionately composed of racial/ethnic minorities offer lower support through Aid to Families with Dependent Children than do other states.12 We view this difference as a contextual effect: the expression of a culture of racial bias through an institution, the Aid to Families with Dependent Children system.

We focus on disparities in 3 key areas: resources, health insurance, and access to care. We do not attempt to summarize the extensive literature on racial disparities in disease, quality of care, or mortality, as excellent reviews already address these issues.4,7,13–15

When reviewing the literature, we included any research described as addressing rural populations; definitions of rural used by individual studies vary. In analyses developed for this article, rural is defined by residence in a nonmetropolitan county, as classified by the Office of Management and Budget.16 As noted by previous analysts,17 a metropolitan/nonmetropolitan dichotomy drawn at the county level is limited. Large urban counties often contain areas that would be considered rural if measured at the census tract or zip code level. These rural areas are not captured in a dichotomous definition. At the other extreme, a single rural category hides distinctions between very small rural and frontier places and relatively populous rural areas. For certain populations, such as rural American Indians/Alaska Natives, significant differences between rural communities are obscured by a global definition.18

Finally, we are limited by the available literature and by population distributions to examining issues pertaining to Black, Hispanic, and, to a lesser extent, American Indian/Alaska Native rural populations. The Asian/Pacific Islander population tends to be urban; only 10 rural counties, in Hawaii and Alaska, have more than 10% of the total population in this group.

The concentration of rural racial/ethnic minority populations in specific geographic regions links collective and contextual effects for these populations (Figure 1). Half of rural Blacks live in just 4 states—Mississippi, Georgia, North Carolina, and South Carolina. Adding Alabama, Louisiana, and Texas brings the total to 75%. Rural Hispanics are similarly concentrated in the South and West. More than a quarter of all rural Hispanics live in Texas; including New Mexico, California, Arizona, and Colorado brings the total to 53%. More than half (54%) of all American Indians/Alaska Natives live in the 5 states of Oklahoma, Arizona, New Mexico, Alaska, and North Carolina. Cultural, social, economic, and health care institutions in these states have evolved in the presence of large racial/ethnic minority populations.

Regional concentration of rural racial/ethnic minorities reflects historic patterns and may be perpetuated by land ownership. Land has “tremendous economic, cultural, and political value to rural communities”19(p63) and constitutes a resource that cannot be transported or easily duplicated elsewhere if sold. Although this topic is beyond the scope of this article, policies that support the retention of land by racial/ethnic minority populations should be considered as a key element in rural economic development and social justice.

Research on the Black population has found that geographic concentration has deleterious effects on health and mortality; such effects may also be present among other racial/ethnic minority groups and in rural as well as urban locales.20 As the proportion of Blacks in the population increases across US counties, so do age-, gender- and race-adjusted Black mortality rates.21 Geographic areas with high concentration of Blacks (focal and surrounding areas) have greater occupational and wage disparities between Blacks and Whites.22 Disadvantage is both a collective and a contextual effect: geographic units surrounded by other units with high Black concentrations tend to be in the South, a less supportive institutional environment. Institutional effects, measured at the state level, also affect occupation and wage outcomes.22

Health issues among rural racial/ethnic minorities cannot be separated from educational and economic issues. Education has direct effects on health, through enabling care for self and children, and indirect effects, by facilitating access to jobs with health insurance. In 1999–2000, nearly one third of rural Black working-age adults (39.5%) and one half of rural Hispanic working-age adults (50.0%) lacked a high school diploma, compared with 19.3% and 42.2%, respectively, in urban areas.23 Among Whites, 14.9% of rural and 8.6% of urban adults had not completed high school.23 The educational status of older racial/ethnic minority adults reflects the school systems and economic realities of their youth. More than three quarters of rural Black (76%) and Hispanic (81%) elders lacked a high school diploma in 1997–1998; corresponding urban values were 54% and 67%.24 Among Whites, 39% of rural and 28% of urban older adults lacked a high school diploma.24

Educational disadvantage among rural Blacks is exacerbated by migration patterns. In the South, Blacks moving from rural to urban areas have been more highly educated than either those who remain or those who move from urban to rural areas. The net result is a loss of college graduates in rural areas and an increase in persons with less than a high school education.25 In this context, continuing rural—urban disparities in school systems, particularly in the South, are not encouraging.26

In 2001, poverty among rural residents was 28% higher than among urban dwellers, 14% versus 11%, respectively.27 Although approximately 1 in every 9 rural Whites (12%) lived in poverty in 1999, nearly 3 of every 10 rural Blacks and American Indians/Alaska Natives (30%, both), and about 1 in every 4 rural Hispanics (26%), did so. Further, as the proportion of racial/ethnic minority residents in a community increases, so do poverty, educational disadvantage, and isolation in the community overall (Table 1).

Although unemployment is higher in rural than in urban areas,28 poverty among rural racial/ethnic minorities is not solely attributable to unemployment or underemployment. Rural racial/ethnic minorities are more likely than both rural Whites and corresponding urban racial/ethnic minorities to hold occupations in which the likelihood that a worker will remain in poverty is relatively high.29 The proportion of rural racial/ethnic minorities in high-poverty job classifications is startling: 68% of rural Blacks, 62% of rural Hispanics, and 48% of rural Native Americans hold such jobs, compared with 43% of rural Whites. Among urban residents, high-poverty occupations are held by 47% of Blacks, 57% of Hispanics, 44% of Native Americans, and 28% of Whites.29 Discouragingly, many of the low-paying jobs held by rural racial/ethnic minorities are classifications likely to move offshore in search of still-cheaper labor.30

Support systems to counteract poverty, such as Temporary Assistance for Needy Families and Medicaid, differ at the state level. States with low per capita incomes, states in which the poverty population is largely rural, and states in which the poverty population is largely racial/ethnic minority, generally offer lower Temporary Assistance for Needy Families benefits per poor child.12 These differences particularly affect rural racial/ethnic minorities, given their concentration in states that also have low per capita incomes.31

Health insurance coverage affects decisions about seeking care when experiencing illness,32 the level of care received if sought,33 and health outcomes.34 Both race and residence have been found to influence the likelihood that an adult will have insurance.35 Rural job categories, lack of unionization, and small employers contribute to poorer insurance coverage among rural workers.36 Low-income workers are least likely to be eligible for health insurance, and to take it if eligible.37,38

Rural racial/ethnic minority residents are generally less likely to be insured if aged younger than 65 years and less likely to have supplemental insurance if Medicare-eligible, than both rural White populations and urban populations of all racial/ethnic groups (Table 2). When insured, rural racial/ethnic minorities are more likely than White rural residents to rely on public insurance. The proportion of rural children with private insurance, for example, ranges from 22% among American Indian/Alaska Native children to 43% among children of “other” race; all racial/ethnic minorities are far below the 71% of White rural children who are privately insured. A similar pattern of reduced access to private insurance among rural racial/ethnic minorities is present across age groups. Further, the effects of race/ethnicity on insurance are more severe in rural areas across all age groups, as indicated by a significant interaction term (described in a note to Table 2).

Improvement is not likely to occur without intervention. Gaps in insurance coverage between racial/ethnic minority and White populations nationally have persisted between 1987 and 199638 and between 1997 and 2001.6 Nationally, Spanish-speaking Hispanic adults are least likely to have health insurance of any ethnic group.40 Periodic gaps in coverage contribute to lack of insurance in rural areas,41 and because of preexisting condition exclusions, can hinder access when insurance is regained.42 More than a third of rural children (36%) experienced insurance gaps over a 3-year period, compared with 31% of urban children.43 Racial/ethnic minority status, low parental education, and low income were associated with increased risk of lost coverage. Insurance type may contribute to gaps in coverage. Because of limited eligibility periods, persons insured by Medicaid are more likely to lose coverage during the course of a year than those with private insurance.44

Access requires a provider. Across rural America, 65% of rural counties are whole or partial health professional shortage areas (HPSAs). Shortages are more common in counties where racial/ethnic minorities represent more than half the population. Four of every 5 rural counties (81%) in which Hispanics are the majority population are HPSAs, as are 83% of counties with a Black majority, and 92% of counties with an American Indian/Alaska Native majority. Absence of providers is entwined with rural poverty and lack of insurance, as estimates suggest that rural racial/ethnic minority communities cannot economically support needed health care providers.45

Most studies have assessed the effects of racial/ethnic minority status, but not residence, when examining access. Nationally, nonelderly Hispanics and Blacks have greater unmet needs, are more likely not to have a regular doctor, are less likely to use mental health services, and report fewer physician visits than Whites.6,46,47 Nationally, non-White children are more likely to have unmet clinical needs, to lack appropriate immunizations, to report having foregone care, to lack a usual source of care,48 and to report fewer physician visits than White children. Further, it has been suggested that even with equal utilization, racial/ethnic minority children would benefit less because of cultural differences and use of different care venues.48

Information regarding racial/ethnic minority populations in rural areas is sparse. Analysis of the 1992 National Health Interview Survey found that rural residents aged younger than 65 years of all race/ethnicity groups were less likely to have visited a physician in the previous year than were urban Whites. Race was not significant when insurance, need, and demographic factors were held constant.50 A multivariate analysis of the 1997–1998 National Health Interview Survey that was similar but limited to working-age adults found that both rural residence and Hispanic or “other” ethnicity reduced the odds of a recent physician visit.23 Analysis of the 1999–2000 National Health and Nutrition Examination study revealed that rural Blacks were more likely than urban Whites to have undetected diabetes and, when diagnosed, were less likely to have their diabetes well controlled.51

Table 2 shows 1999–2000 estimates of the proportion of children, working-age adults, and elders who visited a provider at least once during the past year, a simple measure of access. At all ages, differences between racial/ethnic minority and White populations are statistically significant. Rural/urban differences were only significant for Black children.

Much of the literature on rural access disparities examines specific services or populations within specific states. Among children and working-age adults, the general pattern is lower use of services among rural racial/ethnic minorities, although differences may be attributable to population characteristics rather than to location. For example, rural racial/ethnic minorities report lower use of services for sickle cell anemia than urban racial/ethnic minorities.52 Rural racial/ethnic minorities have reduced odds of receiving preventive care53 and cancer screening services,54 effects linked to differences in education and other characteristics. Rural American Indians/Alaska Natives are more likely to have inadequate prenatal care than urban American Indians/Alaska Natives; both populations fare worse than Whites.55

There are generally few race and rurality differences in health care use among persons aged 65 years and older after need is taken into account.23,56 Optimistically, less severe declines in disability and functional health status over time have been found among Black and Hispanic older adults than among Whites, with distance to care (proxy for rural) having no significant effect.57

Hospitalization for ambulatory care–sensitive (ACS) conditions is one metric for lack of access to primary care.58,59 Results vary depending on the populations studied and the methods used, but both rurality and non-White race/ethnicity are generally positively associated with hospitalization for ACS conditions.59–65 In general, low levels of community resources, including socioeconomic indicators and provider availability, and high proportions of racial/ethnic minority residents have been associated with high rates of ACS hospitalization, although the relative roles of health care infrastructure and other factors remain to be determined.66 Several risk factors converge for rural racial/ethnic minorities. For example, residence in an HPSA has been associated with increased rates of ACS hospitalizations67; counties with large racial/ethnic minority populations disproportionately have HPSA status.

An End to Invisibility

Surveillance activities carried out to track the health of the nation must routinely include rural racial/ethnic minority populations. Evidence from a clinical context suggests that programs designed around urban circumstances can fail to address rural needs.68,69 However, if results are aggregated at a state or national level, planners may never recognize that rural racial/ethnic minority populations are not receiving intended programs and services. Improved surveillance will require increasing the number of rural racial/ethnic minority respondents to national health surveys in order to generate sufficient observations for accurate estimation. Similarly, state and local departments of health must monitor potential disparities among rural as well as urban racial/ethnic minorities.

Context in Disparities Research

Recognition that communities have important effects on health is growing.70,71 Many analyses explicitly include collective effects, such as the proportion of racial/ethnic minority individuals within a given county or zip code. A contextual perspective is present in studies of the effects of residential segregation on health outcomes among Blacks72,73 in research linking measures of income inequality to health or mortality,74 and in research exploring the effects of rural residence on mortality.75,76 However, many of these analyses, including an important effort to delineate key contextual correlates of health,11 focus on urban communities.

A study of cancer screening rates illustrates the interplay between persons and places that is important when studying rural racial/ethnic minority health. The researchers studied cancer screening among Black and White residents in 3 types of county: majority Black counties in the South, other counties in the “Southern Black Belt,” and the rest of the United States. Within each type of county, there were no racial differences in cancer screening rates. However, rates were consistently lower in Black counties and in other counties in the Black Belt than in the rest of the United States.77 An analysis with no geographic component could have attributed the observed differences to race, ignoring county effects. A contextual perspective suggests that institutions in majority Black counties disadvantage all residents, moving the appropriate remedial action from the personal to the institutional level.

The links between rural residence, racial/ethnic minority status, and the social and economic correlates of health are highly correlated in the present and have had mutually reinforcing effects over the past century. Communities change their institutions only slowly. Persistent poverty counties, which tend to have large racial/ethnic minority populations, retain that status over decades.78 In health, communities with high rates of ACS condition hospitalizations in 1990 still had high ACS rates in 1998.79 Despite the difficulty, change in the context surrounding rural racial/ethnic minorities is needed to bring about lasting health improvement.

Interdisciplinary and Interinstitutional Cooperation

Policy development in public health must become “cross-sectoral” when assessing, and improving, institutions that affect rural racial/ethnic minority health.1 Cross-sectoral work would examine income, economic development, education, housing, social and political climate, environment, and practitioners when studying health outcomes, as well as public health and medicine.1

An example of cross-sectoral effects may illustrate why public health should expand its purview. Recently, a “natural experiment,” opening of an American Indian casino in a rural area, raised rural American Indian families out of poverty through a combination of distribution of casino profits and increased job availability. Economic change, with no other intervention, was sufficient to improve the mental health of children in these families through increased parental attention.80 This outcome should be used as a model, and cooperation with rural economic development boards and educational systems should become an important public health activity.

Similarly, rural health planners must advocate support for local health care providers as an economic investment. Racial/ethnic minority physicians may be economic drivers in rural racial/ethnic minority communities,81 in addition to providing care.82 Provider training and placement programs, such as the National Health Service Corps, can affect local economies. A South Carolina study found that National Health Service Corps physician alumni, in addition to serving rural and racial/ethnic minority populations,83 generated an estimated $15 million in annual billings (in 1998) per county in rural HPSA counties.84 Conversely, the loss of health care providers as employers within small rural counties has significant detrimental economic consequences.85

Building an Equal Future

Better surveillance through improved sampling of rural racial/ethnic minority populations and routine reporting of rural racial/ethnic minority data constitutes the first step toward improving the health and welfare of rural America. Surveillance and interventions must address the context in which health care is made available and delivered, exploring institutions and communities as well as individuals. Cross-sectoral approaches to health improvement must be tailored to local socioeconomic environments,86 obtaining advice and guidance from racial/ethnic minorities living within those environments.87–89

Examining health disparities as a function of effects across multiple sectors and disciplines reflects the general trend toward multidisciplinary and multiinstitutional approaches in health services research and demonstration.90 This broad approach can improve the policy process in our poorest counties. Rural America is a reflection of our national character. Rural racial/ethnic minorities are linked to rural America through ties of land and history, and it is critical that we understand their lives as well as their health. Only then will we be in a position to develop a rural health that benefits all Americans.

Table
TABLE 1— Selected Characteristics of Rural Counties, by Proportion of Racial/Ethnic Minority Populations: United States, 2000
TABLE 1— Selected Characteristics of Rural Counties, by Proportion of Racial/Ethnic Minority Populations: United States, 2000
  Racial/Ethnic Minority Populations in Rural CountiesTotal County Population
Proportion of Racial/Ethnic Population, %Minority Number of CountiesAverage Percentage Racial/Ethnic MinorityAverage Percentage Racial/Ethnic Minority Population Living Below Federal Poverty LevelAverage Percentage Aged 0–17 Years Living Below Federal Poverty LevelAverage Percentage With Income Below Federal Poverty LevelAverage Percentage Families With Income Below Federal Poverty LevelPercentage Adults With High-School DiplomaPercentage Housing With Telephone
Black
    0–112310.319.018.013.610.279.696.1
    1–54402.521.120.515.011.274.895.5
    5–101537.222.021.014.911.173.595.2
    ≥1049732.530.926.016.016.068.793.1
Hispanic
    0–18330.720.420.115.512.075.395.3
    1–59542.222.619.514.911.177.395.3
    5–102007.125.318.713.510.078.895.7
    ≥ 1031629.926.524.817.613.871.894.8
American Indian/Alaska Native
    0–118250.424.220.215.111.575.295.4
    1–53012.124.720.515.011.379.195.9
    5–10637.027.219.014.310.680.495.8
    ≥ 1011431.730.223.921.317.077.191.0

Note. A separate tabulation is not provided for Asian/Pacific Islander rural populations, because this population is not highly concentrated. The Asian/Pacific Islander population reaches 10% of the total population in only 7 rural counties: 3 in Alaska and 4 in Hawaii.

Source: Area Resource File.90

Table
TABLE 2— Insurance Status and Ambulatory Care Visits (Yes or No) Among US Residents, by Age, Residence, and Race/Ethnicity: United States, 1999–2000
TABLE 2— Insurance Status and Ambulatory Care Visits (Yes or No) Among US Residents, by Age, Residence, and Race/Ethnicity: United States, 1999–2000
 White, % (SE)Black, % (SE)Hispanic, % (SE)AI/AN, % (SE)Other % (SE)
Children (aged 0–17 y)
Rural
    Health insurance
        Private71.2 (1.1)37.5 (2.1)39.0 (4.2)21.5 (6.6)43.1 (6.7)
        Public18.3 (1.0)47.8 (2.2)32.0 (3.1)38.5 (5.9)38.1 (10.0)
        Uninsured10.5 (0.6)14.7 (2.2)29.0 (3.1)40.0 (5.7)a18.9 (7.6)
    Visit within past yearb87.3 (0.8)77.9 (2.7)77.6 (1.9)72.5 (4.9)87.3 (4.4)
Urban
    Health insurance
        Private83.8 (0.5)53.0 (1.5)46.3 (0.9)49.3 (5.0)74.5 (2.1)
        Public8.9 (0.4)35.5 (1.3)27.8 (0.8)24.3 (5.3) u14.9 (1.6)
        Uninsured7.3 (0.3)11.5 (0.7)26.0 (0.7)26.4 (5.6)10.6 (1.3)
    Visit within past year89.9 (0.4)86.9 (0.8)80.1 (0.8)81.7 (5.0)84.5 (1.4)
Working-age adults (aged 18–64 y)
Rural
    Health insurance
        Private75.5 (0.8)50.8 (2.0)45.6 (4.0)41.6 (8.1)59.2 (4.8)
        Public6.8 (0.4)17.3 (1.5)9.5 (2.0)16.5 (3.4)14.2 (3.5)
        Uninsured17.8 (0.6)31.9 (1.6)44.9 (5.2)41.9 (7.6)26.6 (4.3)
    Visit within past year80.1 (0.5)73.1 (3.0)62.4 (2.6)77.1 (3.3)84.9 (3.5)
Urban     
    Health insurance     
        Private84.3 (0.3)65.1 (1.0)51.9 (0.9)55.0 (4.2)77.2 (1.3)
        Public3.8 (0.1)13.5 (0.7)9.2 (0.4)12.8 (2.4)4.6 (0.7)
        Uninsured12.0 (0.3)21.4 (0.7)39.0 (0.9)32.2 (4.9)18.2 (1.2)
    Visit within past year80.5 (0.3)77.2 (0.6)64.8 (0.9)67.1 (5.9)72.0 (1.2)
Older adults (aged ≥ 65 y)
Rural
    Health insurance
        Private78.5 (1.0)27.3 (3.3)34.3 (7.8)48.8 (11.3)u67.7 (14.2) u
        Public21.1 (1.0)70.4 (3.8)58.8 (7.6)41.1 (12.0) u32.3 (14.2) u
        Uninsured0.4 (0.1)2.3 (1.1)6.9 (3.8)10.1 (6.7) u0
    Visit within past year90.8 (0.7)90.1 (2.2)84.5 (5.9)100.0 (0.0) u92.1 (8.5) u
Urban
    Health insurance
        Private77.3 (0.7)51.0 (2.2)35.0 (1.9)33.9 (11.6) u51.0 (4.5)
        Public22.1 (0.7)48.0 (2.2)60.9 (1.9)58.6 (12.8) u45.3 (4.5)
        Uninsured0.5 (0.1)1.0 (0.3) u4.1 (0.9)7.4 (7.1) u3.8 (1.9) u
    Visit within past year92.6 (0.4)90.0 (1.1)87.2 (1.2)65.2 (12.5) u90.8 (2.2)

Note. AI/AN = American Indian/Alaska Native. Data for the analysis were drawn from the 1999–2000 National Health Interview Surveys. Estimates flagged with a u are based on fewer than 30 unweighted observations or have standard errors greater than 30% of the estimate. These estimates are considered statistically unreliable and should be interpreted with caution. Boldface numbers indicate that rural estimates differ from urban estimates, based on χ2 testing, at P = .01 or better. Tests for insurance have 2 df; tests for visits have 1 df. Race/ethnicity effects within rurality: type of insurance differs significantly by race/ethnicity within residence at P < .0001 for all age groups; likelihood of visit within past year varies by race/ethnicity within residence at P < .0001 for all categories except rural older adults; for rural older adults, race effects are significant at P = .0482. Interaction between race/ethnicity and rurality: interaction effects are significant for type of insurance for all age categories. (For children, P = .0106; for working-age adults and older adults, P < .0001); interaction effects are significant for visit within past year for working-age adults (P = .0107) but not for children or older adults.

aAmong American Indian/Alaska Native populations, persons whose only source of care is the Indian Health Service are classified as uninsured.

b“Visit within past year” does not include hospitalization, emergency room visits, or home health visits.

The South Carolina Rural Health Research Center is funded by the Health Resources and Services Administration’s Office of Rural Health Policy (Grant 1 U1C RH 00045).

We acknowledge the contribution of P. Daniel Patterson, MPH, PhD, who developed the map shown as Figure 1.

Human Participant Protection No protocol approval was needed for this study. Analyses of the 1999–2000 National Health Interview Survey used only secondary data stripped of identifiers and were exempt from review.

References

1. Kindig D, Day P, Fox DM, et al. What new knowledge would help policymakers better balance investments for optimal health outcomes? Health Services Res. 2003;38(6, pt 2):1923–1937. Crossref, MedlineGoogle Scholar
2. Williams DR, Lavizzo-Mourey RA, Warren RC. The concept of race and health status in America. Public Health Rep. 1994;109:26–41. MedlineGoogle Scholar
3. Braithwaite RL, Taylor SE. African American health: an introduction. In: Braithwaite RL, Taylor SE, eds. Health Issues in the Black Community. San Francisco, Calif: Jossey-Bass;1992:3–5. Google Scholar
4. Mueller KJ, Ortega ST, Parker K, Patil K, Askenazi A. Health status and access to care among rural minorities. J Health Care Poor Underserved. 1999; 10:230–249. Crossref, MedlineGoogle Scholar
5. Institute of Medicine. The Future of Public Health. Washington, DC: National Academy Press; 1988. Google Scholar
6. Strunk BE, Cunningham PJ. Treading water: Americans’ access to needed medical care, 1997–2001. Track Rep. March 2002;(1):1–6. Available at: http://www.hschange.com/CONTENT/421/421.pdf (PDF file). Accessed December 23, 2003. Google Scholar
7. Hargraves JL. The insurance gap and minority health care, 1997–2001. Track Rep. June 2002;(2):1–4. Available at: http://www.hschange.com/CONTENT/443/443.pdf (PDF file). Accessed December 23, 2003. Google Scholar
8. Agency for Healthcare Research and Quality, US Department of Health and Human Services. National Healthcare Disparities Report. Available at: http://qualitytools.ahrq.gov/disparitiesreport/download_report.aspx. Accessed January 12, 2004. Google Scholar
9. Kawachi I, Subramanian SC, Almeido-Filho N. A glossary for health inequalities. J Epidemiol Community Health. 2002;56:647–652. Crossref, MedlineGoogle Scholar
10. Pickett KE, Pearl M. Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review. J Epidemiol Community Health. 2001;55:111–122. Crossref, MedlineGoogle Scholar
11. Hillemeier MM, Lynch J, Harper S, Casper M. Measuring contextual characteristics for community health. Health Serv Res. 2003;38(6):1645–1717. Crossref, MedlineGoogle Scholar
12. Nord M. Racial and spatial equity in welfare programs. Interstate and intercounty differences in welfare spending. Rural Dev Perspect. 2001;13(3):11–18. Google Scholar
13. Mayberry RM, Mili F, Ofili E. Racial and ethnic differences in access to medical care. Med Care Res Rev. 2000; 57(suppl 1):108–145. Crossref, MedlineGoogle Scholar
14. Gaskin DJ, Hoffman C. Racial and ethnic differences in preventable hospitalizations across 10 states. Med Care Res Rev. 2000;57(suppl 1):85–107. Crossref, MedlineGoogle Scholar
15. Smedley BD, Stith AY, Nelson AR, eds. Unequal Treatment: Confronting Racial and Ethnic Disparities in Health Care. Washington, DC: Institute of Medicine; 2003. Google Scholar
16. Ricketts TC, Johnson-Webb KD, Taylor P. Definitions of Rural: A Handbook for Health Policy Makers and Researchers. Chapel Hill, NC: North Carolina Rural Health Research Program; 1999 Technical report for the Federal Office of Rural Health Policy. Google Scholar
17. Cunningham PH, Cornelius LJ. Access to ambulatory care for American Indians and Alaska Natives; the relative importance of personal and community resources. Soc Sci Med. 1995;40:393–407. Crossref, MedlineGoogle Scholar
18. Gilbert J, Wood SD, Sharp G. Who owns the land? Agricultural land ownership by race/ethnicity. Rural America. 2002;17(4):55–62. Google Scholar
19. Acevedeo-Garcia D, Lochner KA, Osypuk TL, Subramanian SV. Future directions in residential segregation and health research: a multilevel approach. Am J Public Health. 2003;93:215–221. LinkGoogle Scholar
20. McLaughlin DK, Stokes CS. Income inequality and mortality in US counties: does minority racial concentration matter? Am J Public Health. 2002; 92:99–104. LinkGoogle Scholar
21. Beggs JJ, Villemez WJ, Arnold R. Black population concentration and black-white inequality: expanding the consideration of place and space effects. Social Forces. 1997;76:65–92. CrossrefGoogle Scholar
22. Glover S, Moore CG, Probst JC, Samuels ME. Disparities in access to care among rural working age adults. J Rural Health. 2004;20:193–205. Crossref, MedlineGoogle Scholar
23. Probst JC, Samuels ME, Moore CG, Gdovin J. Access to Care among Rural Minorities: Older Adults. Report submitted under Grant No. 6 U1C RH 00045–01, Office of Rural Health Policy, Health Resources and Services Administration. October 2002. Available at: http://rhr.sph.sc.edu/index6.html. Accessed July 28, 2004. Google Scholar
24. Fuguitt G, Fulton J, Beale C. The Shifting Pattern of Black Migration From and Into the Nonmetropolitan South, 1965–95. Washington, DC: US Department of Agriculture, Economic Research Service; 2001. Rural Development Research Report RDRR93. Available at: http://www.ers.usda.gov/publications/rdrr93. Accessed July 28, 2004. Google Scholar
25. McGranahan DA. New economy manufacturing meets old economy education policies in the rural South. Rural America. 2001;15(4):19–27. Google Scholar
26. Jolliffe D. Rural income, poverty and welfare. Electronic Briefing Room. Available at: http://www.ers.usda.gov/Briefing/IncomePovertyWelfare. Accessed December 22, 2003. Google Scholar
27. Brown DL, Hirschl TA. Household poverty in rural and metropolitan-core areas of the United States. Rural Sociology. 1995;60:44–66 CrossrefGoogle Scholar
28. Jensen L. Employment hardship and rural minorities: theory, research, and policy. Rev Black Political Economy. 1994;22:125–144. CrossrefGoogle Scholar
29. Gibbs RM. Trends in occupational status among rural southern blacks. In: Swanson LL, ed. Minorities in Rural Areas: Progress and Stagnation, 1980–1990. Washington, DC: US Department of Agriculture; 1996. Agricultural Economic Report ERSAER731. Available at: http://www.ers.usda.gov/publications/aer731. Accessed July 28, 2004. Google Scholar
30. Swanson L. Minorities represent growing share of tomorrow’s work force. Rural Conditions Trends. 2001; 9(2):9–13. Google Scholar
31. Baker DW, Shapiro MF, Schur CL. Health insurance and access to care for symptomatic conditions. Arch Intern Med. 2000;160:1269–1274. Crossref, MedlineGoogle Scholar
32. Glied S, Little SC. The uninsured and the benefits of medical progress. Health Aff (Millwood). 2003;22:210–219. Crossref, MedlineGoogle Scholar
33. Baker DW, Sudano JJ, Albert JM, Borawski EA, Dor A. lack of health insurance and decline in overall health in late middle age. N Engl J Med. 2001; 345:1106–1112. Crossref, MedlineGoogle Scholar
34. Seccombe K, Amey C. Playing by the rules and losing: health insurance and the working poor. J Health Soc Behav. 1995;36:168–181. Crossref, MedlineGoogle Scholar
35. Duncan RP, Seccombe K, Amey C. Changes in health insurance coverage within rural and urban environments 1977–1987. J Rural Health. 1995;11:169–176. Crossref, MedlineGoogle Scholar
36. Collins SR, Schoen C, Colasanto D, Downey DA. On the edge: low-wage workers and their health insurance coverage. Issue brief, the Commonwealth Fund, April 2003. Available at: http://www.cmwf.org/programs/insurance/collins_ontheedge_ib_626.pdf (PDF file). Accessed December 23, 2003. Google Scholar
37. Guendelman S, Pearl M. Access to care for children of the working poor. Arch Pediatr Adolesc Med. 2001;155:651–658. Crossref, MedlineGoogle Scholar
38. Monheit AC, Vistnes JP. Race/ethnicity and health insurance status: 1987 and 1996. Med Care Res Rev. 2000;57(suppl 1):11–35. Crossref, MedlineGoogle Scholar
39. Doty MM. Hispanic patients’ double burden: lack of health insurance and limited English. The Commonwealth Fund, February 2003. Report No. 592. Available at: http://www.cmwf.org/programs/insurance/doty_hispanicdoubleburden_592.pdf (PDF file). Accessed December 29, 2003. Google Scholar
40. Mueller KJ, Patil K, Ullrich F. Lengthening spells of uninsurance and their consequences. J Rural Health. 1997;13:29–37. Crossref, MedlineGoogle Scholar
41. Short PR, Graefe DR. Battery-powered health insurance? Stability in coverage of the uninsured. Health Aff (Millwood). 2003;22:244–255. Crossref, MedlineGoogle Scholar
42. Coburn AF, McBride TD, Ziller EC. Patterns of health insurance coverage among rural and urban children. Med Care Res Rev. 2002;59:272–292. Crossref, MedlineGoogle Scholar
43. Ku L, Ross DC. Staying covered: the importance of retaining health insurance for low-income families. The Commonwealth Fund, December 2002. Available at: http://www.cmwf.org/programs/insurance/ku_stayingcovered_586.pdf (PDF file). Accessed January 16, 2004. Google Scholar
44. Smith MW, Kreutzer RA, Goldman L, Casey-Paal A, Kizer KW. How economic demand influences access to medical care for rural Hispanic children. Med Care. 1996;34:1135–1148. Crossref, MedlineGoogle Scholar
45. Alegria M, Canino G, Rios R, et al. Inequalities in use of specialty mental health services among Latinos, African Americans, and non-Latino whites. Psychiatr Serv. 2002;53:1547–1555. Crossref, MedlineGoogle Scholar
46. Weinick RM, Zuvekas SH, Cohen JW. Racial and ethnic differences in access to and use of health care services, 1977 to 1996. Med Care Res Rev. 2000;57 (suppl 1):36–54. Crossref, MedlineGoogle Scholar
47. Weinick RM, Krauss NA. Racial/ethnic differences in children’s access to care. Am J Public Health. 2000;90:1771–1774. LinkGoogle Scholar
48. Stevens GD, Shi L. Racial and ethnic disparities in the primary care experiences of children: a review of the literature. Med Care Res Rev. 2003;60:3–30. Crossref, MedlineGoogle Scholar
49. Mueller KJ, Patil K, Boilesen E. The role of uninsurance and race in healthcare utilization by rural minorities. Health Serv Res. 1998;33(3):597–610. MedlineGoogle Scholar
50. Mainous AG III, King DE, Garr DR, Pearson WS. Diabetes and Cardiovascular Disease Among Rural African Americans. Report submitted under Grant 6 U1C RH 00045–02, Office of Rural Health Policy, Health Resources and Services Administration, August 2002. Available from the South Carolina Rural Health Research Center, 220 Stoneridge Drive, Suite 204, Columbia, SC 29210. Google Scholar
51. Telfair J, Haque A, Etienne M, Tang S, Strasser S. Rural/urban differences in access to and utilization of services among people in Alabama with sickle cell disease. Public Health Rep. 2003;118:27–36. Crossref, MedlineGoogle Scholar
52. Cornelius LJ, Smith PL, Simpson GM. What factors hinder women of color from obtaining preventive health care? Am J Public Health. 2002;92:535–539. LinkGoogle Scholar
53. Thompson B, Coronado GD, Solomon CC, McClerran DF, Neuhouser ML, Feng Z. Cancer prevention behaviors and socioeconomic status among Hispanics and non-Hispanic whites in a rural population in the United States. Cancer Causes Control. 2002;13:719–728. Crossref, MedlineGoogle Scholar
54. Baldwin LM, Grossman DC, Casey S, et al. Perinatal and infant health among rural and urban American Indians/Alaska Natives. Am J Pubic Health. 2002;92:1491–1497. LinkGoogle Scholar
55. Mentnech R, Ross W, Park Y, Benner S. An analysis of utilization and access from the NHIS: 1984–92. Health Care Financ Rev. 1995;17(2):51–59. MedlineGoogle Scholar
56. Porell FW, Miltiades HB. Access to care and functional status change among aged Medicare beneficiaries. J Gerontol B Psychol Sci Soc Sci. 2001; 56(2):S69–83. Crossref, MedlineGoogle Scholar
57. Agency for Healthcare Research and Quality. Safety net monitoring [Web site with various data resources available for download]. Available at: http://www.ahrq.gov/data/safetynet. Accessed May 14, 2004. Google Scholar
58. Bindman AB, Grumbach K, Osmond D, et al. Preventable hospitalizations and access to health care. JAMA. 1995;274:305–311. Crossref, MedlineGoogle Scholar
59. Culler SD, Parchman ML, Przybylski M. Factors related to potentially preventable hospitalizations among the elderly. Med Care. 1998;35:804–817. CrossrefGoogle Scholar
60. Pappas G, Hadden WC, Kozak LJ, Fisher GF. Potentially avoidable hospitalizations: inequalities in rates between US socioeconomic groups. Am J Public Health. 1997;87:811–816. LinkGoogle Scholar
61. Schreiber S, Zielinski T. The meaning of ambulatory care sensitive admissions: urban and rural perspectives. J Rural Health. 1997;13:276–284. Crossref, MedlineGoogle Scholar
62. Shi L, Samuels ME, Pease M, Bailey WP, Corley EH. Patient characteristics associated with hospitalizations for ambulatory care sensitive conditions in South Carolina. South Med J. 1999; 92:989–998. Crossref, MedlineGoogle Scholar
63. Garg A, Probst JC, Sease T, Samuels ME. Hospitalization for pediatric ambulatory care sensitive conditions in South Carolina. South Med J. 2003;96:850–858. Crossref, MedlineGoogle Scholar
64. Korenbrot CC, Ehlers S, Crouch JA. Disparities in hospitalizations of rural American Indians. Med Care. 2003;41:626–636. MedlineGoogle Scholar
65. Ricketts TC, Randolph R, Howard HA, Pathman D, Carey T. Hospitalization rates as indicators of access to primary care. Health Place. 2001;7:27–38. Crossref, MedlineGoogle Scholar
66. Parchman ML, Culler SD. Preventable hospitalizations in primary care shortage areas. An analysis of vulnerable Medicare beneficiaries. Arch Fam Med. 1999;8:487–491. Crossref, MedlineGoogle Scholar
67. Schaffer SJ, Kincaid MS, Entres N, Weitzman M. Lead poisoning risk determination in a rural setting. Pediatrics. 1996;97:84–90. MedlineGoogle Scholar
68. Thomas JC, Schoenbach VJ, Weiner DH, Parker ED, Earp JA. Rural gonorrhea in the southeastern United States: a neglected epidemic? Am J Epidemiol. 1996;143:269–277. Crossref, MedlineGoogle Scholar
69. Hillemeier MM, Lynch J, Harper S, Casper M. Measuring contextual characteristics for community health. Health Serv Res. 2003;38(6):1645–1717. Crossref, MedlineGoogle Scholar
70. Hargraves M. Elevating the voices of rural minority women. Am J Public Health. 2002;92:514–515. LinkGoogle Scholar
71. Cooper RS, Kennelly JF, Durazo-Arvizu R, Oh H-J, Kaplan G, Lynch J. Relationship between premature mortality and socioeconomic factors in black and white populations in US metropolitan areas. Public Health Rep. 2001;116:464–473. Crossref, MedlineGoogle Scholar
72. LaVeist TA. Racial segregation and longevity among African Americans: an individual-level analysis. Health Serv Res. 2003;38(6):1719–1733. Crossref, MedlineGoogle Scholar
73. Andersen RM, Yu H, Wyn R, Davidson PL, Brown ER, Teleki S. Access to medical care for low-income persons: how do communities make a difference? Med Care Res Rev. 2002;9: 384–411. CrossrefGoogle Scholar
74. Geronimus AT, Bound J, Waidmann TA. Poverty, time and place: variation in excess mortality across selected US populations, 1980–1990. J Epidemiol Community Health. 1999;53:325–334. Crossref, MedlineGoogle Scholar
75. House JS, Lepkowski JM, Williams DR, et al. Excess mortality among urban residents: how much, for whom, and why? Am J Public Health. 2000;90:1989–1904. LinkGoogle Scholar
76. Coughlin SS, Thompson TD, Seeff L, Richards T, Stallings F. Breast, cervical, and colorectal carcinoma screening in a demographically defined region of the southern US. Cancer. 2002;95:2211–2122. Crossref, MedlineGoogle Scholar
77. Ghelfi LM. Most persistently poor counties in the South remained poor in 1995. Rural America. 2001;15(4):36–49. Google Scholar
78. DeLia D. Distributional issues in the analysis of preventable hospitalizations. Health Serv Res. 2003;38(6):1761–1779. Crossref, MedlineGoogle Scholar
79. Costello EJ, Compton SN, Keeler G, Angold A. Relationships between poverty and psychopathology: a natural experiment. JAMA. 2003;290:2023–2029. Crossref, MedlineGoogle Scholar
80. Gale HF, McGranahan DA, Teixeira R, Greenberg E. Rural Competitiveness: Results of the 1996 Rural Manufacturing Survey. Washington, DC: Food and Economics Division, Economic Research Service, US Department of Agriculture; 1999. Agricultural Economics Report 776. Google Scholar
81. Rabinowitz HK, Diamond JJ, Veloski JJ, Gayle JA. The impact of multiple predictors on generalist physicians’ care of underserved populations. Am J Public Health. 2000;90:1225–1228. LinkGoogle Scholar
82. Probst JC, Samuels ME, Shaw TV, Hart LG, Daly C. The National Health Service Corps and Medicaid inpatient care: experience in a Southern state, South Medical J. 2003;96:775–783. Crossref, MedlineGoogle Scholar
83. Samuels ME, Probst JC, Shaw TV, Bailey W, Corley E. Assessing the Contribution of National Health Service Corps Alumni to Underserved Rural Communities and Minorities. Bethesda, Md: Office of Evaluation, Analysis and Research, Bureau of Primary Health Care, Health Resources and Services Administration; 2000. Final report, Contract 000-BHPC-0033. Google Scholar
84. Probst JC, Samuels ME, Hussey JR, Berry DE. Economic impact of hospital closure on small rural counties, 1984–1988. J Rural Health. 1999;15:375–390. Crossref, MedlineGoogle Scholar
85. Waidmann TA, Rahan S. Race and ethnic disparities in health care access and utilization: an examination of state variation. Med Care Res Rev. 2000;57 (suppl 1):55–84. Crossref, MedlineGoogle Scholar
86. Roubideaux Y. Perspectives on American Indian health. Am J Public Health. 2002;92:1401–1403. LinkGoogle Scholar
87. Brach C, Fraser I. Can cultural competency reduce racial and ethnic health disparities? A review and conceptual model. Med Care Res Rev. 2000; 57(suppl 1):181–217. Crossref, MedlineGoogle Scholar
88. Zambrana RE. The role of Latino/Hispanic communities in health services research: strategies for a meaningful partnership. J Med Syst. 1996;20:317–328. Crossref, MedlineGoogle Scholar
89. Krieger N. The ostrich, the albatross, and public health: an ecosocial perspective—or why an explicit focus on health consequences of discrimination and deprivation is vital for good science and public health practice. Public Health Rep. 2001;116:419–423. Crossref, MedlineGoogle Scholar
90. Area Resource File. Rockville, Md: US Department of Health and Human Services, Health Resources and Services Administration, Bureau of Health Professions; 2003. Google Scholar
91. US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, Division of Health Interview Statistics, Hyattsville, Md. 1999 National Health Interview Survey public use data release available at: ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/NHIS/1999/. Accessed July 2, 2003. 2000 public use data release available at: ftp://ftp.cdc.gov/pub/Health_Statistics/NCHS/NHIS/2000/. Accessed July 2, 2003. Google Scholar

Related

No related items

TOOLS

SHARE

ARTICLE CITATION

Janice C. Probst, PhD, Charity G. Moore, PhD, MSPH, Saundra H. Glover, PhD, and Michael E. Samuels, DrPH Janice C. Probst and Saundra H. Glover are with the Department of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia. Charity G. Moore is with the Department of Epidemiology and Biostatistics, Arnold School of Public Health. Janice C. Probst, Charity G. Moore, and Saundra H. Glover are also with the South Carolina Rural Health Research Center, Columbia, SC. Michael E. Samuels is with the University of Kentucky College of Medicine, Lexington. “Person and Place: The Compounding Effects of Race/Ethnicity and Rurality on Health”, American Journal of Public Health 94, no. 10 (October 1, 2004): pp. 1695-1703.

https://doi.org/10.2105/AJPH.94.10.1695

PMID: 15451735