Evidence map›Paper›PMID 34798329›Full record

ArticleAmerican journal of obstetrics & gynecology MFM2022

Obstetric comorbidity scores and disparities in severe maternal morbidity across marginalized groups.

Stephanie A Leonard, Elliott K Main, Deirdre J Lyell, Suzan L Carmichael, Chris J Kennedy, Christina Johnson, Mahasin S Mujahid

Abstract read
In one paragraph

Article in American journal of obstetrics & gynecology MFM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 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.

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3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline 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

7 authors.

Stephanie A LeonardDepartment of Obstetrics and Gynecology, Stanford University, Stanford, CA; California Maternal Quality Care Collaborative, Stanford University, Stanford, CA. Electronic address: stephanie.leonard@stanford.edu.
Elliott K MainDepartment of Obstetrics and Gynecology, Stanford University, Stanford, CA; California Maternal Quality Care Collaborative, Stanford University, Stanford, CA.
Deirdre J LyellDepartment of Obstetrics and Gynecology, Stanford University, Stanford, CA; California Maternal Quality Care Collaborative, Stanford University, Stanford, CA.
Suzan L CarmichaelDepartment of Obstetrics and Gynecology, Stanford University, Stanford, CA; Department of Pediatrics, Stanford University, Stanford, CA.
Chris J KennedyDepartment of Biomedical Informatics, Harvard University, Boston, MA.
Christina JohnsonDepartment of Obstetrics and Gynecology, Stanford University, Stanford, CA.
Mahasin S MujahidDivision of Epidemiology and Biostatistics, University of California, Berkeley, CA.

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

backgroundA recently developed obstetrical comorbidity scoring system enables the comparison of severe maternal morbidity rates independent of health status at the time of birth hospitalization. However, the scoring system has not been evaluated in racial-ethnic and socioeconomic groups or used to assess disparities in severe maternal morbidity.

objectiveThis study aimed to evaluate the performance of an obstetrical comorbidity scoring system when applied across racial-ethnic and socioeconomic groups and to determine the effect of comorbidity score risk adjustment on disparities in severe maternal morbidity. STUDY

designWe analyzed a population-based cohort of live births that occurred in California during 2011 through 2017 with linked birth certificates and birth hospitalization discharge data (n=3,308,554). We updated a previously developed comorbidity scoring system to include the International Classification of Diseases, Ninth and Tenth Revisions, Clinical Modifications diagnosis codes and applied the scoring system to subpopulations (groups) defined by race-ethnicity, nativity, payment method, and educational attainment. We then calculated the risk-adjusted rates of severe maternal morbidity (including and excluding blood transfusion-only cases) for each group and estimated the disparities for these outcomes before and after adjustment for the comorbidity score using logistic regression.

resultsThe obstetric comorbidity scores performed consistently across groups (C-statistics ranged from 0.68 to 0.76; calibration curves demonstrated overall excellent prediction of absolute risk). All non-White groups had significantly elevated rates of severe maternal morbidity before and after risk adjustment for comorbidities when compared with the White group (1.3% before, 1.3% after) (American Indian-Alaska Native: 2.1% before, 1.8% after; Asian: 1.5% before, 1.7% after; Black: 2.5% before, 2.0% after; Latinx: 1.6% before, 1.7% after; Pacific Islander: 2.2% before, 1.9% after; and multi-race groups: 1.7% before, 1.6% after). Risk adjustment also modestly increased disparities for the foreign-born group and government insurance groups. Higher educational attainment was associated with decreased severe maternal morbidity rates, which was largely unaffected by comorbidity risk adjustment. The pattern of results was the same whether or not transfusion-only cases were included as severe maternal morbidity.

conclusionThese results support the use of an updated comorbidity scoring system to assess disparities in severe maternal morbidity. Disparities in severe maternal morbidity decreased in magnitude for some racial-ethnic and socioeconomic groups and increased in magnitude for other groups after adjustment for the comorbidity score.

Indexed as

Black or African AmericanWhite PeopleComorbidityEthnicityFemaleHealthcare DisparitiesHumansPregnancycomorbiditiesethnic groupshealth disparitiesInternational Classification of Diseasesmachine learningmaternal healthmaternal mortalityobstetricspatient dischargepregnancy complicationsquality improvementrisk adjustmentsevere maternal morbiditysocioeconomic groups

Identifiers

PMID34798329
PMCPMC10980357

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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.