Variation in Access to Health Care for Different Racial/Ethnic Groups by the Racial/Ethnic Composition of an Individual's County of Residence
Bibliographic Data
| ID | 9099297 |
|---|---|
| Authors | Jennifer S Haas (0000-0001-7227-851X, Brigham and Women's Hospital, corresponding author), Kimberley A Phillips (0000-0003-0822-4968), Kathryn A Phillips, Dean Sonneborn, Charles E Mcculloch (0000-0002-1279-6179), Lindsey C Baker (0000-0001-5032-794X, Harvard University, corresponding author), Laurence C Baker, Celia P Kaplan (0009-0008-8376-6656, University of California, San Francisco), Eliseo J Pérez-Stable (0000-0002-1577-2738, University of California, San Francisco), Su-Ying Liang, Su‐Ying Liang (0000-0002-6616-5970) |
| Year | 2004 |
| Volume | 42 |
| Issue | 7 |
| Pages | 707-714 |
| Publication date | 2004-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/01.mlr.0000129906.95881.83 |
| PMID | 15213496 |
| OpenAlex | W1984308996 |
| Language | EN |
| Citations received | 36 |
| References cited | 30 |
BACKGROUND: Although the majority of studies examining racial/ethnic disparities in health care have focused on the characteristics of the individual, more recently there has been growing attention to the notion that an individual's health practices could be influenced by the characteristics of the place where they reside. OBJECTIVE: The objective of this study was to examine whether access to care for individuals of different racial/ethnic groups varies by the prevalence of blacks and the prevalence of Latinos in their county of residence. STUDY DESIGN: We conducted a cross-sectional cohort. PARTICIPANTS: Individuals from the 1996 Medical Expenditure Panel Survey, a nationally representative sample of U.S. households, who described their race/ethnicity as white, black, or Latino, and who resided in 1 of 677 counties (n = 14740) were studied. MEASURES: Counties were assigned to 6 groups based on the prevalence of blacks and Latinos who resided there ( or=40% referred to as "high prevalence" separately for both blacks and Latinos). Outcomes included whether during the past year any family members: 1). experienced difficulty obtaining any type of health care, delayed obtaining care, or did not receive health care they thought they needed (referred to as "difficulty obtaining care"); or (2). did not receive a doctor's care or a prescription medication because the family needed money to buy food, clothing, or pay for housing (referred to as "financial barriers"). RESULTS: After controlling for other individual and area-level covariates, blacks reported lower rates of both outcome variables when they lived in a county with a high prevalence of blacks compared with blacks who lived in a county with a low prevalence of blacks (difficulty obtaining care: 4.3% vs. 18.8%, P <0.005; financial barriers: 1.6% vs. 10.5%, P <0.005). There was a similar association for Latinos by the prevalence of Latinos in the county for difficulty obtaining care (high: 5.0% vs. low: 13.4%, P <0.05), but not the financial barriers outcome (high: 2.2% vs. low: 2.4%, P = 0.90). Whites who lived in an area with a high prevalence of Latinos were more likely to report both outcomes compared with whites who lived in a county with a low prevalence of Latinos (difficulty obtaining care: 17.7% vs. 9.4%, P <0.05; financial barriers: 8.5% vs. 3.2%, P <0.005) . CONCLUSIONS: Blacks and Latinos may perceive fewer barriers to care when they live in a county with a high prevalence of people of similar race/ethnicity. Conversely, whites may perceive more difficulty receiving care when they live in an area with a high prevalence of Latinos. Diminishing disparities in access to health care may require interventions that extend beyond the individual
Composition (language) · Ethnic composition · Ethnic group · Race (biology) · Racial composition · Residence · Sociology · Variation (astronomy) · Anthropology · Cultural Competency in Health Care · Demography · Gender Studies · Global Health Workforce Issues · Medicine · Migration, Health and Trauma · Gerontology
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| Unique citing works | 36 |
|---|---|
| Citations per year | 1,8 |
| Citation span | 2006 - 2023 (18) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 35 |