Dataset Information

Insurance status, not race, is associated with mortality after an acute cardiovascular event in Maryland.

ABSTRACT:

Background

It is unclear how lack of health insurance or otherwise being underinsured contributes to observed racial disparities in health outcomes related to cardiovascular disease.

Objective

To determine the relative risk of death associated with insurance and race after hospital admission for an acute cardiovascular event.

Design

Prospective cohort study in three hospitals in Maryland representing different demographics between 1993 and 2007.

Patients

Patients with an incident admission who were either white or black, and had either private insurance, state-based insurance or were uninsured. 4,908 patients were diagnosed with acute myocardial infarction, 6,759 with coronary atherosclerosis, and 1,293 with stroke.

Main measures

Demographic and clinical patient-level data were collected from an administrative billing database and neighborhood household income was collected from the 2000 US Census. The outcome of all-cause mortality was collected from the Social Security Death Master File.

Key results

In an analysis adjusted for race, disease severity, location, neighborhood household income among other confounders, being underinsured was associated with an increased risk of death after myocardial infarction (relative hazard, 1.31 [95 % CI: 1.09, 1.59]), coronary atherosclerosis (relative hazard, 1.50 [95 % CI: 1.26, 1.80]) or stroke (relative hazard, 1.25 [95 % CI: 0.91, 1.72]). Black race was not associated with an increased risk of death after myocardial infarction (relative hazard, 1.03 [95 % CI: 0.85, 1.24]), or after stroke (relative hazard, 1.18 [95 % CI: 0.86, 1.61]) and was associated with a decreased risk of death after coronary atherosclerosis (relative hazard, 0.82 [95 % CI: 0.69, 0.98]).

Conclusions

Race was not associated with an increased risk of death, before or after adjustment. Being underinsured was strongly associated with death among those admitted with myocardial infarction, or a coronary atherosclerosis event. Our results support growing evidence implicating insurance status and socioeconomic factors as important drivers of health disparities, and potentially racial disparities.

SUBMITTER: Ng DK

PROVIDER: S-EPMC3445670 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Insurance status, not race, is associated with mortality after an acute cardiovascular event in Maryland.

Ng Derek K DK Brotman Daniel J DJ Lau Bryan B Young J Hunter JH

Journal of general internal medicine 20121001 10

<h4>Background</h4>It is unclear how lack of health insurance or otherwise being underinsured contributes to observed racial disparities in health outcomes related to cardiovascular disease.<h4>Objective</h4>To determine the relative risk of death associated with insurance and race after hospital admission for an acute cardiovascular event.<h4>Design</h4>Prospective cohort study in three hospitals in Maryland representing different demographics between 1993 and 2007.<h4>Patients</h4>Patients wit ...[more]

PMID: 22821570

Similar Datasets

Project description:Background Persistent racial/ethnic disparities in cardiovascular disease (CVD) mortality are partially explained by healthcare access and socioeconomic, demographic, and behavioral factors. Little is known about the association between race/ethnicity-specific CVD mortality and county-level factors. Methods and Results Using 2017 county-level data, we studied the association between race/ethnicity-specific CVD age-adjusted mortality rate (AAMR) and county-level factors (demographics, census region, socioeconomics, CVD risk factors, and healthcare access). Univariate and multivariable linear regressions were used to estimate the association between these factors; R2 values were used to assess the factors that accounted for the greatest variation in CVD AAMR by race/ethnicity (non-Hispanic White, non-Hispanic Black, and Hispanic/Latinx individuals). There were 659 740 CVD deaths among non-Hispanic White individuals in 2698 counties; 100 475 deaths among non-Hispanic Black individuals in 717 counties; and 49 493 deaths among Hispanic/Latinx individuals across 267 counties. Non-Hispanic Black individuals had the highest mean CVD AAMR (320.04 deaths per 100 000 individuals), whereas Hispanic/Latinx individuals had the lowest (168.42 deaths per 100 000 individuals). The highest CVD AAMRs across all racial/ethnic groups were observed in the South. In unadjusted analyses, the greatest variation (R2) in CVD AAMR was explained by physical inactivity for non-Hispanic White individuals (32.3%), median household income for non-Hispanic Black individuals (24.7%), and population size for Hispanic/Latinx individuals (28.4%). In multivariable regressions using county-level factor categories, the greatest variation in CVD AAMR was explained by CVD risk factors for non-Hispanic White individuals (35.3%), socioeconomic factors for non-Hispanic Black (25.8%), and demographic factors for Hispanic/Latinx individuals (34.9%). Conclusions The associations between race/ethnicity-specific age-adjusted CVD mortality and county-level factors differ significantly. Interventions to reduce disparities may benefit from being designed accordingly.

Project description:BackgroundSevere maternal morbidity and mortality are increasing in the United States with continued healthcare disparities among Non-Hispanic Black women. However, there is sparse data on the disparities of severe maternal morbidity and mortality by race/ethnicity as it relates to community type.ObjectiveTo determine whether residing in rural communities increases the racial/ethnic disparities in severe maternal morbidity and mortality.DesignThis study is a cross-sectional analysis of women admitted for delivery from 2015 to 2020. A total of 204,140 adults who self-identified as women, were admitted for delivery, who resided in Maryland, and were between the ages 15 and 54 were included in our analysis. Community type was defined as either rural or urban.MethodsA multivariable logistic regression, which included an interaction term between race/ethnicity and community type, was used to assess the effect of community type on the relationship between race/ethnicity and severe maternal morbidity and mortality. Data were obtained from the Maryland Health Service Cost Review Commission database. The primary outcome was a composite, binary variable of severe maternal morbidity and mortality. Exposures of interest were residence in either rural or urban counties in Maryland and race/ethnicity.ResultsOur study found that after adjusting for confounders, odds of severe maternal morbidity and mortality were 65% higher in Non-Hispanic Black women (odds ratio 1.65, 95% confidence interval: 1.46-1.88, p < 0.001) and 54% higher in Non-Hispanic Asian women (odds ratio 1.54, 95% confidence interval: 1.24-1.90, p < 0.001) compared to Non-Hispanic White women. The interaction term used to determine whether community type modified the relationship between race/ethnicity and severe maternal morbidity and mortality was not statistically significant for any race/ethnicity (Non-Hispanic Black women, p = 0.60; Non-Hispanic Asian women, p = 0.91; Hispanic women, p = 0.15; Other/Unknown race/ethnicity, p = 0.54).ConclusionAlthough our study confirmed the known disparities in maternal outcomes by race/ethnicity, we found that residing in rural communities did not increase racial/ethnic disparities.

Project description:BackgroundHealthcare disparities are well documented across multiple subspecialties in orthopaedics. The widespread implementation of telemedicine risks worsening these disparities if not carefully executed, despite original assumptions that telemedicine improves overall access to care. Telemedicine also poses unique challenges such as potential language or technological barriers that may alter previously described patterns in orthopaedic disparities.Questions/purposesAre the proportions of patients who use telemedicine across orthopaedic services different among (1) racial and ethnic minorities, (2) non-English speakers, and (3) patients insured through Medicaid during a 10-week period after the implementation of telemedicine in our healthcare system compared with in-person visits during a similar time period in 2019?MethodsThis was a retrospective comparative study using electronic medical record data to compare new patients establishing orthopaedic care via outpatient telemedicine at two academic urban medical centers between March 2020 and May 2020 with new orthopaedic patients during the same 10-week period in 2019. A total of 11,056 patients were included for analysis, with 1760 in the virtual group and 9296 in the control group. Unadjusted analyses demonstrated patients in the virtual group were younger (median age 57 years versus 59 years; p < 0.001), but there were no differences with regard to gender (56% female versus 56% female; p = 0.66). We used self-reported race or ethnicity as our primary independent variable, with primary language and insurance status considered secondarily. Unadjusted and multivariable adjusted analyses were performed for our primary and secondary predictors using logistic regression. We also assessed interactions between race or ethnicity, primary language, and insurance type.ResultsAfter adjusting for age, gender, subspecialty, insurance, and median household income, we found that patients who were Hispanic (odds ratio 0.59 [95% confidence interval 0.39 to 0.91]; p = 0.02) or Asian were less likely (OR 0.73 [95% CI 0.53 to 0.99]; p = 0.04) to be seen through telemedicine than were patients who were white. After controlling for confounding variables, we also found that speakers of languages other than English or Spanish were less likely to have a telemedicine visit than were people whose primary language was English (OR 0.34 [95% CI 0.18 to 0.65]; p = 0.001), and that patients insured through Medicaid were less likely to be seen via telemedicine than were patients who were privately insured (OR 0.83 [95% CI 0.69 to 0.98]; p = 0.03).ConclusionDespite initial promises that telemedicine would help to bridge gaps in healthcare, our results demonstrate disparities in orthopaedic telemedicine use based on race or ethnicity, language, and insurance type. The telemedicine group was slightly younger, which we do not believe undermines the findings. As healthcare moves toward increased telemedicine use, we suggest several approaches to ensure that patients of certain racial, ethnic, or language groups do not experience disparate barriers to care. These might include individual patient- or provider-level approaches like expanded telemedicine schedules to accommodate weekends and evenings, institutional investment in culturally conscious outreach materials such as advertisements on community transport systems, or government-level provisions such as reimbursement for telephone-only encounters.Level of evidenceLevel III, therapeutic study.

Dataset Information

Insurance status, not race, is associated with mortality after an acute cardiovascular event in Maryland.

Background

Objective

Design

Patients

Main measures

Key results

Conclusions

Publications

Insurance status, not race, is associated with mortality after an acute cardiovascular event in Maryland.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets