Dataset Information

Race, Ethnicity, Health Insurance, and Mortality in Older Survivors of Critical Illness.

ABSTRACT: To determine whether minority race or ethnicity is associated with mortality and mediated by health insurance coverage among older (? 65 yr old) survivors of critical illness.A retrospective cohort study.Two New York City academic medical centers.A total of 1,947 consecutive white (1,107), black (361), and Hispanic (479) older adults who had their first medical-ICU admission from 2006 through 2009 and survived to hospital discharge.None.We obtained demographic, insurance, and clinical data from electronic health records, determined each patient's neighborhood-level socioeconomic data from 2010 U.S. Census tract data, and determined death dates using the Social Security Death Index. Subjects had a mean (SD) age of 79 years (8.6 yr) and median (interquartile range) follow-up time of 1.6 years (0.4-3.0 yr). Blacks and Hispanics had similar mortality rates compared with whites (adjusted hazard ratio, 0.92; 95% CI, 0.76-1.11 and adjusted hazard ratio, 0.92; 95% CI, 0.76-1.12, respectively). Compared to those with commercial insurance and Medicare, higher mortality rates were observed for those with Medicare only (adjusted hazard ratio, 1.43; 95% CI, 1.03-1.98) and Medicaid (adjusted hazard ratio, 1.30; 95% CI, 1.10-1.52). Medicaid recipients who were the oldest ICU survivors (> 82 yr), survivors of mechanical ventilation, and discharged to skilled-care facilities had the highest mortality rates (p-for-interaction: 0.08, 0.03, and 0.17, respectively).Mortality after critical illness among older adults varies by insurance coverage but not by race or ethnicity. Those with federal or state insurance coverage only had higher mortality rates than those with additional commercial insurance.

SUBMITTER: Baldwin MR

PROVIDER: S-EPMC5433910 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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Race, Ethnicity, Health Insurance, and Mortality in Older Survivors of Critical Illness.

Baldwin Matthew R MR Sell Jessica L JL Heyden Nina N Javaid Azka A Berlin David A DA Gonzalez Wendy C WC Bach Peter B PB Maurer Mathew S MS Lovasi Gina S GS Lederer David J DJ

Critical care medicine 20170601 6

<h4>Objectives</h4>To determine whether minority race or ethnicity is associated with mortality and mediated by health insurance coverage among older (≥ 65 yr old) survivors of critical illness.<h4>Design</h4>A retrospective cohort study.<h4>Setting</h4>Two New York City academic medical centers.<h4>Patients</h4>A total of 1,947 consecutive white (1,107), black (361), and Hispanic (479) older adults who had their first medical-ICU admission from 2006 through 2009 and survived to hospital dischar ...[more]

PMID: 28333761

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Project description:OBJECTIVES:The 1.5 million Medicare beneficiaries who survive intensive care each year have a high post-hospitalization mortality rate. We aimed to determine whether mortality after critical illness is higher for Medicare beneficiaries with Medicaid compared with those with commercial insurance. DESIGN:A retrospective cohort study from 2010 through 2014 with 1 year of follow-up using the New York Statewide Planning and Research Cooperative System database. SETTING:A New York State population-based study of older (age??65?y) survivors of intensive care. PARTICIPANTS:Adult Medicare beneficiaries age 65?years or older who were hospitalized with intensive care at a New York State hospital and survived to discharge. INTERVENTION:None. MEASUREMENT:Mortality in the first year after hospital discharge. RESULTS:The study included 340 969 Medicare beneficiary survivors of intensive care with a mean (standard deviation) age of 77 (8) years; 20% died within 1 year. There were 152 869 (45%) with commercial insurance, 78 577 (23%) with Medicaid, and 109 523 (32%) with Medicare alone. Compared with those with commercial insurance, those with Medicare alone had a similar 1-year mortality rate (adjusted hazard ratio [aHR]?=?1.01; 95% confidence interval [CI]?=?.99-1.04), and those with Medicaid had a 9% higher 1-year mortality rate (aHR?=?1.09; 95% CI?=?1.05-1.12). Among those discharged home, the 1-year mortality rate did not vary by insurance coverage, but among those discharged to skilled-care facilities (SCFs), the 1-year mortality rate was 16% higher for Medicaid recipients (aHR?=?1.16; 95% CI?=?1.12-1.21; P for interaction <.001). CONCLUSIONS:Older adults with Medicaid insurance have a higher 1-year post-hospitalization mortality compared with those with commercial insurance, especially among those discharged to SCFs. Future studies should investigate care disparities at SCFs that may mediate these higher mortality rates. J Am Geriatr Soc 67:2497-2504, 2019.

Project description:ImportanceWhile the Affordable Care Act (ACA) set out to eliminate insurer discrimination based on preexisting conditions, the ACA health exchanges allow insurers to select what markets to enter and afford them great freedom on how they design their physician networks. Strategic market participation and physician network design based on population race, ethnicity, and health characteristics may give rise to a present-day form of redlining within health insurance markets-ie, a systematic underprovision of insurance plans and in-network practitioners within areas that are populated with higher proportions of non-Hispanic Black residents.ObjectiveTo examine if markets with relatively higher non-Hispanic Black populations have systematically fewer insurers and lower network inclusion of physicians residing within these areas.Design, setting, and participantsThis cohort study conducted a regression analysis of the US ACA health insurance exchange marketplace across 34 states with federal exchanges and physicians located within the 500 most populous US cities in 2014. County-level data were sourced from individual market and issuer enrollment databases and county health rankings; census tract data came from a national database of physician networks in 2014 marketplace plans, US Census Bureau data, and the Centers for Disease Control and Prevention's PLACES database. Adjustment was made for a rich set of county (or census tract) controls and state fixed effects to capture broad market and/or policy differences across states. Analyses were performed in June 2021.Main outcomes and measuresThe raw count of insurers within a county and the mean percentage of insurance networks that physicians participate in within each census tract.ResultsA total of 2270 counties were examined within our first analyses. In the counties analyzed, a mean (SD) of 23.0% (3.2%) of the population was aged 18 years or younger, and a mean (SD) of 11.0% (15.8%) of the population had non-Hispanic Black race and ethnicity. For the second analysis, 16 006 to 25 096 census tracts were examined (depending on physician specialty). With adjustment for population size, age, and race and ethnicity, a 1-SD increase in the county non-Hispanic Black population was associated with a 14.1% reduction in the number of insurers (mean [SE] marginal effect size, -2.18 [0.13]; P < .001). Accounting for additional county-level risk selection controls and state fixed effects, a 1-SD increase in the non-Hispanic Black population was associated with a 2.3% reduction in available insurers (marginal effect size, -0.36 [0.17]; P = .04). For practitioners network breadth inclusion, a 1-SD increase in the non-Hispanic Black population was associated with a 15.8% (marginal effect size, -0.32 [0.01]; P < .001) to 24.7% (marginal effect size, -0.14 [0.02]; P < .001) reduction in the physicians' network participation depending on their specialty. Adjusting for additional state fixed effects yielded estimates of 6% (marginal effect size, -0.08 [0.01]; P < .001) to 13.5% (marginal effect size, -0.12 [0.02]; P < .001) reductions in practitioner network participation.Conclusions and relevanceThese findings suggest that strategic decisions by insurers may contribute toward markets with higher racial or ethnic minority populations having systematically fewer participating insurers, as well as a higher prevalence of local physicians not included in coverage networks. These findings call for further examination of potential insurance redlining within the ACA marketplaces.

Project description:BACKGROUND:Very few studies with nationally representative samples have investigated the combined effects of race/ethnicity and socioeconomic position (SEP) on polypharmacy (PP) among older Americans. For instance, we do not know if prevalence of PP differs between African Americans (AA) and white older adults, whether this difference is due to a racial gap in SEP, or whether racial and ethnic differences exist in the effects of SEP indicators on PP. Aims: We investigated joint effects of race/ethnicity and SEP on PP in a national household sample of American older adults. Methods: The first wave of the University of Michigan National Poll on Healthy Aging included a total of 906 older adults who were 65 years or older (80 AA and 826 white). Race/ethnicity, SEP (income, education attainment, marital status, and employment), age, gender, and PP (using 5+ medications) were measured. Logistic regression was applied for data analysis. Results: Race/ethnicity, age, marital status, and employment did not correlate with PP; however, female gender, low education attainment, and low income were associated with higher odds of PP among participants. Race/ethnicity interacted with low income on odds of PP, suggesting that low income might be more strongly associated with PP in AA than white older adults. Conclusions: While SEP indicators influence the risk of PP, such effects may not be identical across diverse racial and ethnic groups. That is, race/ethnicity and SEP have combined/interdependent rather than separate/independent effects on PP. Low-income AA older adults particularly need to be evaluated for PP. Given that race and SEP have intertwined effects on PP, racially and ethnically tailored interventions that address PP among low-income AA older adults may be superior to universal interventions and programs that ignore the specific needs of diverse populations. The results are preliminary and require replication in larger sample sizes, with PP measured directly without relying on individuals' self-reports, and with joint data collected on chronic disease.

Dataset Information

Race, Ethnicity, Health Insurance, and Mortality in Older Survivors of Critical Illness.

Publications

Race, Ethnicity, Health Insurance, and Mortality in Older Survivors of Critical Illness.

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