Health insurance and chronic conditions in low-income urban whites

Racial and Ethnic Disparities among Pregnancies with Chronic Hypertension and Adverse Outcomes

OBJECTIVE

We aimed to ascertain whether the risk of adverse pregnancy outcomes in the United States among individuals with chronic hypertension differed by maternal race and ethnicity and to assess the temporal trend.

STUDY DESIGN

Population-based retrospective study using the U.S. Vital Statistics datasets evaluated pregnancies with chronic hypertension, singleton live births that delivered at 24 to 41 weeks. The coprimary outcomes were a composite maternal adverse outcome (preeclampsia, primary cesarean delivery, intensive care unit admission, blood transfusion, uterine rupture, or unplanned hysterectomy) and a composite neonatal adverse outcome (preterm birth, small for gestational age, Apgar's score <5 at 5 minutes, assisted ventilation> 6 hours, seizure, or death). Multivariable Poisson regression models were used to estimate adjusted relative risks (aRRs) and 95% confidence intervals (CIs).

RESULTS

Between 2014 and 2019, the rate of chronic hypertension in pregnancy increased from 1.6 to 2.2%. After multivariable adjustment, an increased risk for the composite maternal adverse outcome was found in Black (aRR = 1.10, 95% CI = 1.09-1.11), Hispanic (aRR = 1.04, 95% CI = 1.02-1.05), and Asian/Pacific Islander (aRR = 1.07, 95% CI = 1.05-1.10), compared with White individuals. Compared with White individuals, the risk of the composite neonatal adverse outcome was higher in Black (aRR = 1.39, 95% CI = 1.37-1.41), Hispanic (aRR = 1.15, 95% CI = 1.13-1.16), Asian/Pacific Islander (aRR = 1.34, 95% CI = 1.31-1.37), and American Indian (aRR = 1.12, 95% CI = 1.07-1.17). The racial and ethnic disparity remained unchanged during the study period.

CONCLUSION

We found a racial and ethnic disparity with maternal and neonatal adverse outcomes in pregnancies with chronic hypertension that remained unchanged throughout the study period.

KEY POINTS

· Between 2014 and 2019, the rate of chronic hypertension in pregnancy increased.. · Among people with chronic hypertension, there are racial and ethnic disparities in adverse outcomes.. · Black, Hispanic, and Asian/Pacific Islander have a higher risk of the adverse neonatal outcomes..

Doenças crônicas não transmissíveis e fatores associados em adultos numa área urbana de pobreza do nordeste brasileiro

Resumo Objetiva-se analisar a prevalência e os fatores associados às Doenças Crônicas não Transmissíveis (DCNT), em adultos residentes numa área urbana de pobreza situada em Recife, Nordeste do Brasil. Trata-se de um estudo transversal, com amostra de 631 adultos de 20 a 59 anos. Analisaram-se possíveis associações das DCNT com fatores demográficos, socioeconômicos, comportamentais e relativos à saúde, por meio de Regressão de Poisson, considerando-se como estatisticamente significantes aqueles com valor de p < 0,05. A prevalência de DCNT foi de 56,7%, sendo maior no sexo masculino (60,8%), entre os adultos com 50-59 anos (80,5%), de menor classe econômica (57,7%) e menor nível de instrução (62%). O problema também predominou entre aqueles com IMC ≥ 25Kg/m2 (34,2%) e que referiram estado de saúde ruim (76,4%). No modelo multivariado hierarquizado, as variáveis estatisticamente significantes foram: escolaridade, IMC, percepção da própria saúde, sexo e faixa etária. Observou-se, neste estudo, uma elevada prevalência de pelo menos uma DCNT, bem como, associação estatisticamente significante entre DCNT e as variáveis: escolaridade, IMC, percepção da própria saúde, sexo e faixa etária. Estes resultados sugerem a necessidade de se intensificar as ações de promoção à saúde, em comunidades carentes, com vistas ao seu melhor controle.

Variation of preventive service utilization by state Medicaid coverage, cost-sharing, and Medicaid expansion status

Preventive services can help reduce costs associated with chronic conditions. Medicaid beneficiaries have high rates of chronic conditions, but state Medicaid coverage and cost-sharing of preventive services varies widely. States that chose to expand Medicaid under the ACA were incentivized to cover recommended preventive services at no cost-sharing. This study evaluates whether state Medicaid policy and Medicaid expansion were associated with overall utilization, and disparities in utilization of preventive services among vulnerable populations. We used Medicaid policy data from Kaiser Family Foundation and MEPS data (2009-2014, n = 15,610), collected and analyzed in 2017. We used multivariable logistic regression, difference-in-differences, and difference-in-difference-in-differences models to examine the association between state Medicaid preventive service policy and Medicaid expansion on overall utilization, and disparities in utilization among race/ethnicity and income groups for blood pressure check, cholesterol screening, and flu shot. Medicaid coverage of flu shot was significantly associated with utilization (p < 0.001). Medicaid expansion significantly increased flu shot utilization among near-poor individuals (p < 0.01), Asians, and Latinos and blood pressure screening among African Americans (p < 0.05). For flu shot, the ACA is reaching its target audience: those in the coverage gap between Medicaid and private insurance. Increasing access to preventive services may not be enough to increase utilization, especially for vulnerable populations and/or the previously uninsured. Focusing on provider adherence to preventive service guidelines and education around who is eligible for what service and when could help increase utilization of preventive services in the future.

Adapting Andersen's Behavioral Model of Health Service Use to Examine Risk Factors for Hypertension Among U.S. MSM

Hypertension affects nearly a third of U.S. adult males and is a leading risk factor for cardiovascular disease, but there is a paucity of hypertension research among men who have sex with men (MSM). Andersen's model of health service use was adapted to examine factors associated with hypertension among MSM. In 2008, 7,454 U.S. MSM completed an online survey. Overall, 16.5% of the sample reported a lifetime diagnosis of hypertension. In hierarchical logistic regression, Black MSM had increased odds of reporting hypertension (adjusted odds ratio [AOR] = 1.79, 95% confidence interval [CI] [1.24, 2.60]) compared with White MSM, as did men aged 30 years and older (age 30-39: AOR = 2.46, 95% CI [1.84, 3.29]; age 40-49: AOR = 3.76, 95% CI [2.85, 4.97]; age 50+: AOR = 6.40, 95% CI [4.78, 8.58]; Reference: 18-29 years). Health conditions associated with hypertension included diabetes (AOR = 3.62, 95% CI [2.81, 4.68]), heart disease (AOR = 5.19, 95% CI [3.99, 6.75]), depression (AOR = 1.38, 95% CI [1.17, 1.63]), anxiety (AOR = 1.30, 95% CI [1.09, 1.57]), and being overweight (AOR = 2.23, 95% CI [1.91, 2.59]). Having a primary care provider (AOR = 2.19, 95% CI [1.64, 2.93]) and residing in South Atlantic (AOR = 1.39, 95% CI [1.12, 1.74]) or South Central (AOR = 1.59, 95% CI [1.27, 2.00]) regions was also associated with reporting hypertension. Study findings are consistent with those in the literature for the general population. To address health care inequities, the Internet could serve as a potential access point for health screening and referral for care.

Measures of SES for Electronic Health Record-based Research

INTRODUCTION

Although infrequently recorded in electronic health records (EHRs), measures of SES are essential to describe health inequalities and account for confounding in epidemiologic research. Medical Assistance (i.e., Medicaid) is often used as a surrogate for SES, but correspondence between conventional SES and Medical Assistance has been insufficiently studied.

METHODS

Geisinger Clinic EHR data from 2001 to 2014 and a 2014 questionnaire were used to create six SES measures: EHR-derived Medical Assistance and proportion of time under observation on Medical Assistance; educational attainment, income, and marital status; and area-level poverty. Analyzed in 2016-2017, associations of SES measures with obesity, hypertension, type 2 diabetes, chronic rhinosinusitis, fatigue, and migraine headache were assessed using weighted age- and sex-adjusted logistic regression.

RESULTS

Among 5,550 participants (interquartile range, 39.6-57.5 years, 65.9% female), 83% never used Medical Assistance. All SES measures were correlated (Spearman's p≤0.4). Medical Assistance was significantly associated with all six health outcomes in adjusted models. For example, the OR for prevalent type 2 diabetes associated with Medical Assistance was 1.7 (95% CI=1.3, 2.2); the OR for high school versus college graduates was 1.7 (95% CI=1.2, 2.5). Medical Assistance was an imperfect proxy for SES: associations between conventional SES measures and health were attenuated <20% after adjustment for Medical Assistance.

CONCLUSIONS

Because systematically collected SES measures are rarely available in EHRs and are unlikely to appear soon, researchers can use EHR-based Medical Assistance to describe inequalities. As SES has many domains, researchers who use Medical Assistance to evaluate the association of SES with health should expect substantial unmeasured confounding.

Disparities Report: Disparities Among Minority Women With Breast Cancer Living in Impoverished Areas of California

BACKGROUND

Interaction effects of poverty and health care insurance coverage on overall survival rates of breast cancer among women of color and non-Hispanic white women were explored.

METHODS

We analyzed California registry data for 2,024 women of color (black, Hispanic, Asian, Pacific Islander, American Indian, or other ethnicity) and 4,276 non-Hispanic white women (Anglo-European ancestries and no Hispanic-Latin ethnic backgrounds) diagnosed with breast cancer between the years 1996 and 2000 who were then followed until 2011. The 2000 US census categorized rates of neighborhood poverty. Health care insurance coverage was either private, Medicare, Medicaid, or none. Cox regression was used to model rates of survival.

RESULTS

A 3-way interaction between ethnicity, health care insurance coverage, and poverty was observed. Women of color inadequately insured and living in poor or near-poor neighborhoods in California were the most disadvantaged. Women of color adequately insured and who lived in such neighborhoods in California were also disadvantaged. The incomes of such women of color were typically lower than the incomes of non-Hispanic white women.

CONCLUSIONS

Women of color with or without insurance coverage are disadvantaged in poor and near-poor neighborhoods of California. Such women may be less able to bare the indirect, direct, or uncovered costs of health care for breast cancer treatment.