Evidence map›Paper›PMID 30712089›Full record

ArticleMaternal and child health journal2019

Determinants of Severe Maternal Morbidity and Its Racial/Ethnic Disparities in New York City, 2008-2012.

Renata E Howland, Meghan Angley, Sang Hee Won, Wendy Wilcox, Hannah Searing, Sze Yan Liu, Emily White Johansson

Abstract read
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In one paragraph

Article in Maternal and child health journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
7.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 82 citations in OpenAlex.

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  9. New Yorkers Speak Up: Community Perspectives on Improving Healthcare Experiences in New York City.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Renata E HowlandNew York City Department of Health and Mental Hygiene, 42-09 28th Street, Long Island City, NY, 11101, USA. rr2717@cumc.columbia.edu.
Meghan AngleyNew York City Department of Health and Mental Hygiene, 42-09 28th Street, Long Island City, NY, 11101, USA.
Sang Hee WonNew York City Department of Health and Mental Hygiene, 42-09 28th Street, Long Island City, NY, 11101, USA.
Wendy WilcoxNew York City Department of Health and Mental Hygiene, 42-09 28th Street, Long Island City, NY, 11101, USA.
Hannah SearingNew York City Department of Health and Mental Hygiene, 42-09 28th Street, Long Island City, NY, 11101, USA.
Sze Yan LiuNew York City Department of Health and Mental Hygiene, 42-09 28th Street, Long Island City, NY, 11101, USA.
Emily White JohanssonNew York City Department of Health and Mental Hygiene, 42-09 28th Street, Long Island City, NY, 11101, USA.
New York City Department of Health and Mental Hygiene · USKings County Hospital Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives Severe maternal morbidity (SMM) is an important indicator for identifying and monitoring efforts to improve maternal health. Studies have identified independent risk factors, including race/ethnicity; however, there has been limited investigation of the modifying effect of socioeconomic factors. Study aims were to quantify SMM risk factors and to determine if socioeconomic status modifies the effect of race/ethnicity on SMM risk. Methods We used 2008-2012 NYC birth certificates matched with hospital discharge records for maternal deliveries. SMM was defined using an algorithm developed by the Centers for Disease Control and Prevention. Mixed-effects logistic regression models estimated SMM risk by demographic, socioeconomic, and health characteristics. The final model was stratified by Medicaid status (as a proxy for income), education, and neighborhood poverty. Results Of 588,232 matched hospital deliveries, 13,505 (229.6 per 10,000) had SMM. SMM rates varied by maternal age, birthplace, education, income, pre-existing chronic conditions, pre-pregnancy weight status, trimester of prenatal care entry, plurality, and parity. Race/ethnicity was consistently and significantly associated with SMM. While racial differences in SMM risk persisted across all socioeconomic groupings, the risk was exacerbated among Latinas and Asian-Pacific Islanders with lower income when compared to white non-Latinas. Similarly, living in the poorest neighborhoods exacerbated SMM risk among both black non-Latinas and Latinas. Conclusions for Practice SMM determinants in NYC mirror national trends, including racial/ethnic disparities. However, these disparities persisted even in the highest income and educational groups suggesting other pathways are needed to explain racial/ethnic differences.

Indexed as

MorbidityAdolescentAdultDiabetes MellitusFemaleHealthcare DisparitiesHumansLogistic ModelsMothersNew York CityObesityPopulation SurveillancePregnancyRace FactorsRisk FactorsSocial Determinants of HealthDisparitiesPregnancy complicationsSevere maternal morbiditySurveillance

Identifiers

PMID30712089
OpenAlexW2911999226

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.