Evidence map›Paper›PMID 36905984›Full record

ArticleAmerican journal of obstetrics & gynecology MFM2023

Neighborhood disinvestment and severe maternal morbidity in the state of California.

Mahasin S Mujahid, Elizabeth Wall-Wieler, Elleni M Hailu, Rachel L Berkowitz, Xing Gao, Colleen M Morris, Barbara Abrams, Audrey Lyndon, Suzan L Carmichael

Open access · hybridAbstract read
In one paragraph

Article in American journal of obstetrics & gynecology MFM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
13.4field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 23 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Mahasin S MujahidDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA (Dr Mujahid, Mses Hailu, Gao, and Morris, and Dr Abrams). Electronic address: mmujahid@berkeley.edu.
Elizabeth Wall-WielerDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University (Drs Wall-Wieler and Carmichael); Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada (Dr Wall-Wieler).
Elleni M HailuDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA (Dr Mujahid, Mses Hailu, Gao, and Morris, and Dr Abrams).
Rachel L BerkowitzDivision of Health Policy and Management, School of Public Health, University of California, Berkeley, Berkeley, CA (Dr Berkowitz).
Xing GaoDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA (Dr Mujahid, Mses Hailu, Gao, and Morris, and Dr Abrams).
Colleen M MorrisDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA (Dr Mujahid, Mses Hailu, Gao, and Morris, and Dr Abrams).
Barbara AbramsDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA (Dr Mujahid, Mses Hailu, Gao, and Morris, and Dr Abrams).
Audrey LyndonRory Meyers College of Nursing, New York University, New York City, NY (Dr Lyndon).
Suzan L CarmichaelDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University (Drs Wall-Wieler and Carmichael); Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Stanford University, Stanford, CA (Dr Carmichael).
University of California, Berkeley · USMed Center · USBerkeley Public Health Division · USNew York University · US

Funding

Severe Maternal Morbidity: An Investigation of Racial-Ethnic Disparities, Social Disadvantage & Maternal WeightR01NR017020 · NINR · STANFORD UNIVERSITY · PI SUZAN L CARMICHAEL · 2018 to 2026
$5.2M
Building a causal pathway framework to identify interventions to prevent severe maternal morbidityR01NR020335 · NINR · STANFORD UNIVERSITY · PI CARMICHAEL, SUZAN L · 2021 to 2025
$3.7M
NINR NIH HHS R01 NR017020NINR NIH HHS R01 NR020335
6 · The paper itself

Abstract

backgroundSocial determinants of health, including neighborhood context, may be a key driver of severe maternal morbidity and its related racial and ethnic inequities; however, investigations remain limited.

objectiveThis study aimed to examine the associations between neighborhood socioeconomic characteristics and severe maternal morbidity, as well as whether the associations between neighborhood socioeconomic characteristics and severe maternal morbidity were modified by race and ethnicity. STUDY

designThis study leveraged a California statewide data resource on all hospital births at ≥20 weeks of gestation (1997-2018). Severe maternal morbidity was defined as having at least 1 of 21 diagnoses and procedures (eg, blood transfusion or hysterectomy) as outlined by the Centers for Disease Control and Prevention. Neighborhoods were defined as residential census tracts (n=8022; an average of 1295 births per neighborhood), and the neighborhood deprivation index was a summary measure of 8 census indicators (eg, percentage of poverty, unemployment, and public assistance). Mixed-effects logistic regression models (individuals nested within neighborhoods) were used to compare odds of severe maternal morbidity across quartiles (quartile 1 [the least deprived] to quartile 4 [the most deprived]) of the neighborhood deprivation index before and after adjustments for maternal sociodemographic and pregnancy-related factors and comorbidities. Moreover, cross-product terms were created to determine whether associations were modified by race and ethnicity.

resultsOf 10,384,976 births, the prevalence of severe maternal morbidity was 1.2% (N=120,487). In fully adjusted mixed-effects models, the odds of severe maternal morbidity increased with increasing neighborhood deprivation index (odds ratios: quartile 1, reference; quartile 4, 1.23 [95% confidence interval, 1.20-1.26]; quartile 3, 1.13 [95% confidence interval, 1.10-1.16]; quartile 2, 1.06 [95% confidence interval, 1.03-1.08]). The associations were modified by race and ethnicity such that associations (quartile 4 vs quartile 1) were the strongest among individuals in the "other" racial and ethnic category (1.39; 95% confidence interval, 1.03-1.86) and the weakest among Black individuals (1.07; 95% confidence interval, 0.98-1.16).

conclusionStudy findings suggest that neighborhood deprivation contributes to an increased risk of severe maternal morbidity. Future research should examine which aspects of neighborhood environments matter most across racial and ethnic groups.

Indexed as

EthnicityHysterectomyCaliforniaFemaleHumansPregnancyPrevalenceSocioeconomic FactorsHealth equityNeighborhood deprivation indexNeighborhood health effectsRacial and ethnic disparitiesSocial determinants of health

Identifiers

PMID36905984
PMCPMC10959123
OpenAlexW4323654630

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.