Maria Carabello's research while affiliated with University of Michigan and other places

Publications (5)

Article
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Studies consistently show that Hispanics, especially first-generation Mexican immigrants, face lower mortality risks in mid-to-late life than US-born non-Hispanic whites. This extended lifespan defies expectations given Hispanics’ disadvantaged socioeconomic status relative to whites and thus is referred to as the Hispanic paradox. However, it rema...
Article
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Although Mexican immigrants to the United States (US) have historically held health and mortality advantages over US-born groups, evolving population dynamics in Mexico paired with shifts in Mexico-US immigration patterns and policy regimes have raised new concerns about the metabolic health of recent cohorts of Mexican immigrants. Using a national...
Article
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Importance: While the literature documenting health disparities has advanced in recent decades, less is known about the pattern of racial/ethnic disparities in emergency care in the United States. Objective: To describe the trends and differences of health outcomes and resource utilization among racial/ethnic groups in US emergency care for adult p...
Article
Full-text available
Background: There is an incomplete understanding of disparities in emergency care for children across racial and ethnic groups in the United States. In this project, we sought to investigate patterns in emergency care utilization, disposition, and resource use in children by race and ethnicity after adjusting for demographic, socioeconomic, and cli...

Citations

... The KBO decomposition is a statistical method developed in Downloaded from http://ahajournals.org by on November 6, 2022 the economics literature to explain inequalities between groups. [17][18][19] It has been used in public health research to understand and identify potential intervention targets to reduce health inequities [20][21][22] such as to identify the contribution of social determinants to diabetes health disparities in Hispanic and Latinx populations, 23,24 and to characterize factors that explain the racial and ethnic differences in CVD risk factors among mid-life women. 25 Here, we applied the KBO decomposition to statistically quantify the amount of the difference in mean CVH between racial and ethnic groups that is associated with (1) "explained differences," which are the between-group differences in the levels of the factors of interest (i.e., differences based on the observable factors as included in the statistical regression models), and (2) "unexplained differences," which are differences due unobserved factors (e.g., discrimination) that result in differential magnitudes of association (i.e., differences in regression coefficients, or slope of regression line) of the individual-level factors with CVH within each racial and ethnic group. ...
... 32 In this light, racial inequities in wait times for obstetric ED care are of serious concern, given the existing evidence linking extended wait times/delays in care with increased odds of morbidity and mortality. 25,34 Not only do prolonged wait times increase the risk that Black women's health needs are not addressed in a timely and equitable manner, but they also increase the risk that women will leave the ED prior to receiving care. 27 When women do not receive care related to their presenting complaints, women's perinatal health issues may go undetected and unaddressed. ...
... Optimal disposition of ED visits and referral for follow-up medical care are shared interests of patients, government officials, and health insurance companies because of population growth, hospital readmissions, maximizing clinical care, racial/ethnic disparities in care and outcomes, and ED overcrowding. 16,[18][19][20][21] We describe characteristics of patients and ED visits that result in referral for follow-up medical care in a nationally representative sample of ED visits by age group, sex, race/ethnicity, US geographic region, insurance payment type, and diagnosis, and we highlight inequalities by population group. ...