Evidence map›Paper›PMID 39019744›Full record

ArticleWomen's health issues : official publication of the Jacobs Institute of Women's Health

Leveraging a Longitudinally Linked Dataset to Assess Recurrence of Severe Maternal Morbidity.

Hafsatou Diop, Eugene R Declercq, Chia-Ling Liu, Xiaohui Cui, Ndidiamaka Amutah-Onukagha, Audra R Meadows, Howard J Cabral

Abstract read
In one paragraph

Article in Women's health issues : official publication of the Jacobs Institute of Women's Health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–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

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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hafsatou DiopMassachusetts Department of Public Health, Boston, Massachusetts. Electronic address: hafsatou.diop@mass.gov.
Eugene R DeclercqBoston University School of Public Health, Boston, Massachusetts.
Chia-Ling LiuEvalogic Services, Inc, Newton, Massachusetts.
Xiaohui CuiMassachusetts Department of Public Health, Boston, Massachusetts.
Ndidiamaka Amutah-OnukaghaDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts.
Audra R MeadowsDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, San Diego, California.
Howard J CabralBoston University School of Public Health, Boston, Massachusetts.

Funding

Reducing Racial Disparities in SMM post COVID19: Assessing the integration of maternal safety bundles and community based doulas to improve outcomes for Black womenR01MD016026 · NIMHD · TUFTS UNIVERSITY BOSTON · PI AMUTAH-ONUKAGHA, NDIDIAMAKA, DECLERCQ, EUGENE R · 2020 to 2024
$3.1M
NIMHD NIH HHS R01 MD016026
6 · The paper itself

Abstract

objectivesAmong those with a severe maternal morbidity (SMM) event and a subsequent birth, we examined how the risk of a second SMM event varied by patient characteristics and intrapartum hospital utilization.

methodsWe used a Massachusetts population-based dataset that longitudinally linked in-state births, hospital discharge records, prior and subsequent births, and non-birth-related hospital utilizations for birthing individuals and their children from January 1, 1999, to December 31, 2018, representing 1,460,514 births by 907,530 birthing people. We restricted our study sample to 2,814 people who had their first SMM event associated with a singleton birth and gave birth a second time within the study period. Our outcome measure was recurrence of SMM in the second birth. We calculated the prevalence of SMM at second birth, compared SMM conditions between births, and estimated the adjusted risk ratios and 95% confidence intervals for having an SMM event at second birth among those who had an SMM at the first birth. We also examined overall hospital utilization including inpatient admissions, emergency room visits, and observational stays, and hospital utilization by interpregnancy intervals (IPIs) between the first and second birth.

resultsThere were 2,814 birthing people with at least one birth after the first SMM singleton birth. Among those, 198 (7.0%) had a subsequent SMM. The percentage of people with a second SMM event varied by age, race/ethnicity, insurance, IPI, and history of hypertension at first case of SMM (all p < .05). Between births, people with a second SMM event had significantly higher proportions of inpatient admissions (60.1% vs. 33.2.0%; p < .001), emergency room visits (71.7% vs. 57.7%; p < .001), and observational stays (35.4% vs. 19.5%; p < .001) compared with those who did not experience a second SMM event.

conclusionHospital utilization after a birth with SMM might indicate an elevated risk of a second SMM event. Providers should counsel their patients about prevention and warning signs.

Indexed as

HospitalizationRecurrenceAdultFemaleHumansLongitudinal StudiesMassachusettsMorbidityPregnancyPregnancy ComplicationsPrevalenceYoung Adult

Identifiers

PMID39019744
PMCPMC11620169

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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 Socratic graph.