Dataset Information

Race and Ethnicity, Medical Insurance, and Within-Hospital Severe Maternal Morbidity Disparities.

ABSTRACT:

Objective

To examine within-hospital racial and ethnic disparities in severe maternal morbidity rates and determine whether they are associated with differences in types of medical insurance.

Methods

We conducted a population-based, cross-sectional study using linked 2010-2014 New York City discharge and birth certificate data sets (N=591,455 deliveries) to examine within-hospital black-white, Latina-white, and Medicaid-commercially insured differences in severe maternal morbidity. We used logistic regression to produce risk-adjusted rates of severe maternal morbidity for patients with commercial and Medicaid insurance and for black, Latina, and white patients within each hospital. We compared these within-hospital adjusted rates using paired t-tests and conditional logit models.

Results

Severe maternal morbidity was higher among black and Latina women than white women (4.2% and 2.9% vs 1.5%, respectively, P<.001) and among women insured by Medicaid than those commercially insured (2.8% vs 2.0%, P<.001). Women insured by Medicaid compared with those with commercial insurance had similar risk for severe maternal morbidity within the same hospital (P=.54). In contrast, black women compared with white women had significantly higher risk for severe maternal morbidity within the same hospital (P<.001), as did Latina women (P<.001). Conditional logit analyses confirmed these findings, with black and Latina women compared with white women having higher risk for severe maternal morbidity (adjusted odds ratio [aOR] 1.52; 95% CI 1.46-1.62 and aOR 1.44; 95% CI 1.36-1.53, respectively) and women insured by Medicaid compared with those commercially insured having similar risk.

Conclusion

Within hospitals in New York City, black and Latina women are at higher risk of severe maternal morbidity than white women; this is not associated with differences in types of insurance.

SUBMITTER: Howell EA

PROVIDER: S-EPMC7117864 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Publications

Race and Ethnicity, Medical Insurance, and Within-Hospital Severe Maternal Morbidity Disparities.

Howell Elizabeth A EA Egorova Natalia N NN Janevic Teresa T Brodman Michael M Balbierz Amy A Zeitlin Jennifer J Hebert Paul L PL

Obstetrics and gynecology 20200201 2

<h4>Objective</h4>To examine within-hospital racial and ethnic disparities in severe maternal morbidity rates and determine whether they are associated with differences in types of medical insurance.<h4>Methods</h4>We conducted a population-based, cross-sectional study using linked 2010-2014 New York City discharge and birth certificate data sets (N=591,455 deliveries) to examine within-hospital black-white, Latina-white, and Medicaid-commercially insured differences in severe maternal morbidity ...[more]

PMID: 31923076

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Project description:ObjectiveTo investigate differences in severe maternal morbidity between Hispanic mothers and three major Hispanic subgroups compared with non-Hispanic white mothers and the extent to which differences in delivery hospitals may contribute to excess morbidity among Hispanic mothers.MethodsWe conducted a population-based cross-sectional study using linked 2011-2013 New York City discharge and birth certificate data sets (n=353,773). Rates of severe maternal morbidity were calculated using a published algorithm based on diagnosis and procedure codes. Mixed-effects logistic regression with a random hospital-specific intercept was used to generate risk-standardized severe maternal morbidity rates for each hospital taking into consideration patient sociodemographic characteristics and comorbidities. Differences in the distribution of Hispanic and non-Hispanic white deliveries were assessed among these hospitals in relation to their risk-adjusted morbidity. Sensitivity analyses were conducted after excluding isolated blood transfusion from the morbidity composite.ResultsSevere maternal morbidity occurred in 4,541 deliveries and was higher among Hispanic than non-Hispanic white women (2.7% compared with 1.5%, P<.001); this rate was 2.9% among those who were Puerto Rican, 2.7% among those who were foreign-born Dominican, and 3.3% among those who were foreign-born Mexican. After adjustment for patient characteristics, the risk remained elevated for Hispanic women (odds ratio [OR] 1.42, 95% confidence interval [CI] 1.22-1.66) and for all three subgroups compared with non-Hispanic white women (P<.001). Risk for Hispanic women was attenuated in sensitivity analyses (OR 1.17, 95% CI 1.02-1.33). Risk-standardized morbidity across hospitals varied sixfold. We estimate that Hispanic-non-Hispanic white differences in delivery location may contribute up to 37% of the ethnic disparity in severe maternal morbidity rates in New York City hospitals.ConclusionHispanic compared with non-Hispanic white mothers are more likely to deliver at hospitals with higher risk-adjusted severe maternal morbidity rates and these differences in site of delivery may contribute to excess morbidity among Hispanic mothers. Our results suggest improving quality at the lowest performing hospitals could benefit both non-Hispanic white and Hispanic women and reduce ethnic disparities in severe maternal morbidity rates.

Project description:ObjectivesTo assess the scale of ethnic inequalities in severe maternal morbidity (SMM) rates and quantify the contribution of maternal characteristics to these disparities.DesignRetrospective cohort study.SettingWhole-of-population linked administrative data from 2002 to 2015 in Western Australia.ParticipantsWomen with 410 043 birth events (includes all births from the same pregnancy) of 20 weeks' or more gestation, including terminations for congenital anomalies.Primary and secondary outcome measuresWomen with SMM were identified based on a composite indicator of SMM using diagnosis and procedure codes developed for use in routinely collected data. Mothers were classified into seven ethnic groups, based on their reported ethnic origin. The associations between maternal ethnic origin and SMM were examined using a log-binomial model, which estimates risk ratios (RRs) and 95% CIs. The Blinder-Oaxaca decomposition technique was employed to partition the disparity in SMM between Aboriginal and Caucasian populations into 'explained' and 'unexplained' components.ResultsDuring the study period, 9378 SMM cases were documented. In the adjusted model, Aboriginal (RR 1.73, 95% CI 1.59 to 1.87), African (RR 1.64, 95% CI 1.43 to 1.89) and 'other' ethnicity (RR 1.49, 95% CI 1.37 to 1.63) women were at significantly higher risk of SMM compared with Caucasian women. Teenage and older mothers and socioeconomically disadvantaged women were also at greater risk of SMM. Differences in sociodemographic characteristics explained 33.2% of the disparity in SMM between Aboriginal and Caucasian women.ConclusionsThere are distinct disparities in SMM by ethnicity in Western Australia, with a greater risk among Aboriginal and African women. While improvements in SES and a reduction in teenage pregnancy can potentially support a sizeable reduction in SMM rate inequalities, future research should investigate other potential pathways and targeted interventions to close the ethnicity disparity.

Dataset Information

Race and Ethnicity, Medical Insurance, and Within-Hospital Severe Maternal Morbidity Disparities.

Objective

Methods

Results

Conclusion

Publications

Race and Ethnicity, Medical Insurance, and Within-Hospital Severe Maternal Morbidity Disparities.

Similar Datasets

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