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1.
JAMA Health Forum ; 4(11): e233798, 2023 Nov 03.
Article de Anglais | MEDLINE | ID: mdl-37921746

RÉSUMÉ

Importance: Evidence suggests that racial disparities in health outcomes disappear or diminish when Black and White adults in the US live under comparable living conditions; however, whether racial disparities in health care expenditures concomitantly disappear or diminish is unknown. Objective: To examine whether disparities in health care expenditures are minimized when Black and White US adults live in similar areas of racial composition and economic condition. Design, Setting, and Participants: This cross-sectional study used a nationally representative sample of 7062 non-Hispanic Black or White adults who live in 2238 of 2275 US census tracts with a 5% or greater Black population and who participated in the Medical Expenditure Panel Study (MEPS) in 2016. Differences in total health care expenditures and 6 specific categories of health care expenditures were assessed. Two-part regression models compared expenditures between Black and White adults living in the same Index of Concentration at the Extremes (ICE) quintile, a measure of racialized economic segregation. Estimated dollar amount differences in expenditures were calculated. All analyses were weighted to account for the complex sampling design of the MEPS. Data analysis was performed from December 1, 2019, to August 7, 2023. Exposure: Self-reported non-Hispanic Black or non-Hispanic White race. Main Outcomes and Measures: Presence and amount of patient out-of-pocket and insurance payments for annual total health care expenditures; office-based, outpatient, emergency department, inpatient hospital, or dental visits; and prescription medicines. ICE quintile 5 (Q5) reflected tracts that were mostly high income with mostly White individuals, whereas Q1 reflected tracts that were mostly low income with mostly Black individuals. Results: A total of 7062 MEPS respondents (mean [SD] age, 49 [18] years; 33.1% Black and 66.9% White; 56.1% female and 43.9% male) who lived in census tracts with a 5% or greater Black population in 2016 were studied. In Q5, Black adults had 56% reduced odds of having any health care expenditures (odds ratio, 0.44; 95% CI, 0.27-0.71) compared with White adults, at an estimated $2145 less per year, despite similar health status. Among those in Q5 with any expenditures, Black adults spent 30% less on care (cost ratio, 0.70; 95% CI, 0.56-0.86). In Q3 (most racially and economically integrated), differences in total annual health care spending were minimal ($79 annually; 95% CI, -$1187 to $1345). Conclusions and Relevance: In this cross-sectional study of Black and White adults in the US, health care expenditure disparities diminished or disappeared under conditions of both racial and economic equity and equitable health care access; in areas that were mostly high income and had mostly White residents, Black adults spent substantially less. Results underscore the continuing need to recognize place as a contributor to race-based differences in health care spending.


Sujet(s)
, Dépenses de santé , Blanc , Adulte , Femelle , Humains , Mâle , Adulte d'âge moyen , Études transversales , Accessibilité des services de santé , États-Unis , Sujet âgé
2.
Article de Anglais | MEDLINE | ID: mdl-33126467

RÉSUMÉ

Racial disparities in hypertension remain a persistent public health concern in the US. While several studies report Black-White differences in the health impacts of gentrification, little is known concerning the impact of living in a gentrifying neighborhood on hypertension disparities. Data from the American Community Survey were used to identify gentrifying neighborhoods across the US from 2006 to 2017. Health and demographic data were obtained for non-Hispanic Black and White respondents of the 2014 Medical Expenditure Panel Survey (MEPS) residing in gentrifying neighborhoods. Modified Poisson models were used to determine whether there is a difference in the prevalence of hypertension of individuals by their race/ethnicity for those that live in gentrifying neighborhoods across the US. When compared to Whites living within gentrifying neighborhoods, Blacks living within gentrifying neighborhoods had a similar prevalence of hypertension. The non-existence of Black-White hypertension disparities within US gentrifying neighborhoods underscores the impact of neighborhood environment on race differences in hypertension.


Sujet(s)
Disparités de l'état de santé , Hypertension artérielle/ethnologie , Caractéristiques de l'habitat , Adolescent , Adulte , , Femelle , Humains , Mâle , Adulte d'âge moyen , Prévalence , États-Unis/épidémiologie , , Jeune adulte
3.
J Health Care Poor Underserved ; 30(3): 986-1000, 2019.
Article de Anglais | MEDLINE | ID: mdl-31422984

RÉSUMÉ

OBJECTIVE: To examine the availability of health care provider offices and facilities in predominantly White, minority, and integrated primary care service areas (PCSA). METHODS: National data from the American Community Survey and InfoUSA, linked at the PCSA-level, for 2005 (N=7,109) and 2014 (N=7,142). Associations between racial composition of PCSAs and numbers of health care offices and facilities were examined using multiple regression models. RESULTS: After adjustment for PCSA socio-demographic characteristics, predominantly minority PCSAs had fewer diagnostic imaging centers and offices for physicians, mental health providers, dentists, and other health practitioners than White PCSAs (Adj IRR range: 0.68-0.80, all p<.01). Availability was also lower for integrated PCSAs, but reductions were smaller and involved fewer service types (Adj IRR range: 0.85-0.91, all p<.05). CONCLUSION: Minority and integrated communities have fewer provider offices and facilities for important health services, which may contribute to the persistent racial/ethnic disparities in health care access and use.


Sujet(s)
Établissements de santé/ressources et distribution , Accessibilité des services de santé/statistiques et données numériques , Main-d'oeuvre en santé/statistiques et données numériques , Zone médicalement sous-équipée , Minorités/statistiques et données numériques , /statistiques et données numériques , Caractéristiques de l'habitat/statistiques et données numériques , Adolescent , Adulte , Sujet âgé , Enfant , Enfant d'âge préscolaire , Femelle , Disparités d'accès aux soins , Humains , Nourrisson , Nouveau-né , Mâle , Adulte d'âge moyen , Soins de santé primaires/organisation et administration , États-Unis , Jeune adulte
4.
Health Serv Res ; 47(6): 2353-76, 2012 Dec.
Article de Anglais | MEDLINE | ID: mdl-22524264

RÉSUMÉ

OBJECTIVE: To examine the association between residential segregation and geographic access to primary care physicians (PCPs) in metropolitan statistical areas (MSAs). DATA SOURCES: We combined zip code level data on primary care physicians from the 2006 American Medical Association master file with demographic, socioeconomic, and segregation measures from the 2000 U.S. Census. Our sample consisted of 15,465 zip codes located completely or partially in an MSA. METHODS: We defined PCP shortage areas as those zip codes with no PCP or a population to PCP ratio of >3,500. Using logistic regressions, we estimated the association between a zip code's odds of being a PCP shortage area and its minority composition and degree of segregation in its MSA. PRINCIPAL FINDINGS: We found that odds of being a PCP shortage area were 67 percent higher for majority African American zip codes but 27 percent lower for majority Hispanic zip codes. The association varied with the degree of segregation. As the degree of segregation increased, the odds of being a PCP shortage area increased for majority African American zip codes; however, the converse was true for majority Hispanic and Asian zip codes. CONCLUSIONS: Efforts to address PCP shortages should target African American communities especially in segregated MSAs.


Sujet(s)
Accessibilité des services de santé/statistiques et données numériques , Main-d'oeuvre en santé/statistiques et données numériques , Disparités d'accès aux soins/ethnologie , Médecins de premier recours/statistiques et données numériques , /statistiques et données numériques , Humains , Facteurs socioéconomiques
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