County-Level Associations Between Pregnancy-Related Mortality Ratios and Contextual Sociospatial Indicators.

OBJECTIVE: To characterize county-level differences in pregnancy-related mortality as a function of sociospatial indicators. METHODS: We conducted a cross-sectional multilevel analysis of all pregnancy-related deaths and all live births with available ZIP code or county data in the Pregnancy Mortality Surveillance System during 2011-2016 for non-Hispanic Black, Hispanic (all races), and non-Hispanic White women aged 15-44 years. The exposures included 31 conceptually-grounded, county-specific sociospatial indicators that were collected from publicly available data sources and categorized into domains of demographic; general, reproductive, and behavioral health; social capital and support; and socioeconomic contexts. We calculated the absolute difference of county-level pregnancy-related mortality ratios (deaths per 100,000 live births) per 1-unit increase in the median absolute difference between women living in counties with higher compared with lower levels of each sociospatial indicator overall and stratified by race and ethnicity. RESULTS: Pregnancy-related mortality varied across counties and by race and ethnicity. Many sociospatial indicators were associated with county-specific pregnancy-related mortality ratios independent of maternal age, population size, and Census region. Across domains, the most harmful indicators were percentage of low-birth-weight births (absolute ratio difference [RD] 6.44; 95% CI 5.36-7.51), percentage of unemployed adults (RD 4.98; 95% CI 3.91-6.05), and food insecurity (RD 4.92; 95% CI 4.14-5.70). The most protective indicators were higher median household income (RD -2.76; 95% CI -3.28 to -2.24), percentage of college-educated adults (RD -2.28; 95% CI -2.81 to -1.75), and percentage of owner-occupied households (RD -1.66; 95% CI -2.29 to -1.03). The magnitude of these associations varied by race and ethnicity. CONCLUSION: This analysis identified sociospatial indicators of pregnancy-related mortality and showed an association between pregnancy-related deaths and place of residence overall and stratified by race and ethnicity. Understanding county-level context associated with pregnancy-related mortality may be an important step towards building public health evidence to inform action to reduce pregnancy-related mortality at local levels.

Enhancing Reviews and Surveillance to Eliminate Maternal Mortality.

Multisectoral investments over the past decade have accelerated the growth of Maternal Mortality Review Committee (MMRC) programs across the United States. The U.S. Centers for Disease Control and Prevention (CDC) launched the Enhancing Reviews and Surveillance to Eliminate Maternal Mortality (ERASE MM) Initiative in 2019. Under ERASE MM, CDC directly funds 24 U.S. jurisdictions supporting MMRCs in 25 states. With increased investment in programs nationally, the CDC has designed a performance management framework to identify areas for improvement or sustained achievement and standardize measurement of key process benchmarks across programs. This article presents a report on the baseline measures collected through this performance management approach and suggests key partnerships required to continue to accelerate progress toward the elimination of preventable maternal mortality in the United States.

Urban-rural differences in pregnancy-related deaths, United States, 2011-2016.

BACKGROUND: The US pregnancy-related mortality ratio has not improved over the past decade and includes striking disparities by race and ethnicity and by state. Understanding differences in pregnancy-related mortality across and within urban and rural areas can guide the development of interventions for preventing future pregnancy-related deaths. OBJECTIVE: We sought to compare pregnancy-related mortality across and within urban and rural counties by race and ethnicity and age. STUDY DESIGN: We conducted a descriptive analysis of 3747 pregnancy-related deaths during 2011-2016 (the most recent available data) with available zone improvement plan code or county data in the Pregnancy Mortality Surveillance System, among Hispanic and non-Hispanic White, Black, American Indian or Alaska Native, and Asian or Pacific Islander women aged 15 to 44 years. We aggregated data by US county and grouped counties per the National Center for Health Statistics Urban-Rural Classification Scheme for Counties. We used R statistical software, epitools, to calculate the pregnancy-related mortality ratio (number of pregnancy-related deaths per 100,000 live births) for each urban-rural grouping, obtain 95% confidence intervals, and perform exact tests of ratio comparisons using the Poisson distribution. RESULTS: Of the total 3747 pregnancy-related deaths analyzed, 52% occurred in large metro counties, and 7% occurred in noncore (rural) counties. Large metro counties had the lowest pregnancy-related mortality ratio (14.8; 95% confidence interval, 14.2-15.5), whereas noncore counties had the highest (24.1; 95% confidence interval, 21.4-27.1), including race and ethnicity and age groups. Pregnancy-related mortality ratio age disparities increased with rurality. Women aged 25 to 34 years and 35 to 44 years living in noncore counties had pregnancy-related mortality ratios 1.5 and 3 times higher, respectively, than women of the same age groups in large metro counties. Within each urban-rural category, pregnancy-related mortality ratios were higher among non-Hispanic Black women than non-Hispanic White women. Non-Hispanic American Indian or Alaska Native pregnancy-related mortality ratios in small metro, micropolitan, and noncore counties were 2 to 3 times that of non-Hispanic White women in the same areas. CONCLUSION: Although more than half of pregnancy-related deaths occurred in large metro counties, the pregnancy-related mortality ratio rose with increasing rurality. Disparities existed in urban-rural categories, including by age group and race and ethnicity. Geographic location is an important context for initiatives to prevent future deaths and eliminate disparities. Further research is needed to better understand reasons for the observed urban-rural differences and to guide a multifactorial response to reduce pregnancy-related deaths.