Evidence map›Paper›PMID 35237092›Full record

ArticleClinical medicine insights. Women's health2019

Structural Racism and Severe Maternal Morbidity in New York State.

Sze Yan Liu, Christina Fiorentini, Zinzi Bailey, Mary Huynh, Katharine McVeigh, Deborah Kaplan

Abstract readCase Reports
In one paragraph

Article in Clinical medicine insights. Women's health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

Sze Yan LiuDivision of Epidemiological Services, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA.ORCID https://orcid.org/0000-0002-7148-356X
Christina FiorentiniDivision of Family and Child Health, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA.
Zinzi BaileyCenter for Health Equity, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA.
Mary HuynhDivision of Epidemiological Services, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA.
Katharine McVeighDivision of Family and Child Health, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA.
Deborah KaplanDivision of Family and Child Health, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe examined the association between county-level structural racism indicators and the odds of severe maternal morbidity (SMM) in New York State.

designWe merged individual-level hospitalization data from the New York State Department of Health Statewide Planning and Research Cooperative System (SPARCS) with county-level data from the American Community Survey and the Vera Institute of Justice from 2011 to 2013 (n = 244 854). Structural racism in each county included in our sample was constructed as the racial inequity (ratio of black to white population) in female educational attainment, female employment, and incarceration.

resultsMultilevel logistic regression analysis estimated the association between each of these structural racism indicators and SMM, accounting for individual- and hospital-level characteristics and clustering in facilities. In the models adjusted for individual- and hospital-level factors, county-level racial inequity in female educational attainment was associated with small but statistically significant higher odds of SMM (odds ratio [OR] = 1.17, 95% confidence interval [CI] = 1.47, 1.85). County-level structural racism indicators of female employment inequity and incarceration inequity were not statistically significant. Interaction terms examining potential effect measure modification by race with each structural racism indicator also indicated no statistical difference.

conclusionsStudies of maternal disparities should consider multiple dimensions of structural racism as a contributing cause to SMM and as an additional area for potential intervention.

Indexed as

multilevel regressionsevere maternal morbiditystructural racism

Identifiers

PMID35237092
PMCPMC8842459

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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.