Evidence map›Paper›PMID 36445707›Full record

ArticleJAMA network open2022

Findings From Severe Maternal Morbidity Surveillance and Review in Maryland.

Carrie Wolfson, Jiage Qian, Pamela Chin, Cathy Downey, Katie Jo Mattingly, Kimberly Jones-Beatty, Joanne Olaku, Sadaf Qureshi, Jane Rhule, Danielle Silldorff and 9 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 16 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

19 authors at 10 institutions in 1 country.

Carrie WolfsonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Jiage QianDepartment of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Pamela ChinMercy Medical Center, Baltimore, Maryland.
Cathy DowneyHoward County General Hospital, Columbia, Maryland.
Katie Jo MattinglyMedStar St Mary's Hospital, Leonardtown, Maryland.
Kimberly Jones-BeattyDepartment of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, Maryland.
Joanne OlakuSinai Hospital of Baltimore, Baltimore, Maryland.
Sadaf QureshiLuminis Health Anne Arundel Medical Center, Annapolis, Maryland.
Jane RhuleIndependent researcher.
Danielle SilldorffSinai Hospital of Baltimore, Baltimore, Maryland.
Robert AtlasMercy Medical Center, Baltimore, Maryland.
Anne BanfieldMedStar St Mary's Hospital, Leonardtown, Maryland.
Clark T JohnsonDepartment of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, Maryland.
Donna NealeHoward County General Hospital, Columbia, Maryland.
Jeanne S SheffieldDepartment of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, Maryland.
David SilvermanSinai Hospital of Baltimore, Baltimore, Maryland.
Kacie McLaughlinMaternal and Child Health Bureau, Health Resources and Services Administration, Rockville, Maryland.
Günes KoruDepartment of Health Policy and Management, University of Arkansas for Medical Sciences, Fayetteville.
Andreea A CreangaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Johns Hopkins University · USSinai Hospital · USHoward County General Hospital · USJohns Hopkins Medicine · USMercy Medical Center · USAnne Arundel Medical Center · USHealth Resources and Services Administration · USMedStar Georgetown University Hospital · USSt. Mary's Hospital · USUniversity of Arkansas for Medical Sciences · US

Funding

The Hopkins Population CenterP2CHD042854 · NICHD · JOHNS HOPKINS UNIVERSITY · PI Alison Gemmill · 2021 to 2026
$3.0M
NICHD NIH HHS P2C HD042854
6 · The paper itself

Abstract

Importance: In the US, more than 50 000 women experience severe maternal morbidity (SMM) each year, and the SMM rate more than doubled during the past 25 years. In response, professional organizations called for birthing facilities to routinely identify and review SMM events and identify prevention opportunities. Objective: To examine SMM levels, primary causes, and factors associated with the preventability of SMM using Maryland's SMM surveillance and review program. Design, Setting, and Participants: This cross-sectional study included pregnant and postpartum patients at 42 days or less after delivery who were hospitalized at 1 of 6 birthing hospitals in Maryland between August 1, 2020, and November 30, 2021. Hospital-based SMM surveillance was conducted through a detailed review of medical records. Exposures: Hospitalization during pregnancy or within 42 days post partum. Main Outcomes and Measures: The main outcomes were admission to an intensive care unit, having at least 4 U of red blood cells transfused, and/or having COVID-19 infection requiring inpatient hospital care. Results: A total of 192 SMM events were identified and reviewed. Patients with SMM had a mean [SD] age of 31 [6.49] years; 9 [4.7%] were Asian, 27 [14.1%] were Hispanic, 83 [43.2%] were non-Hispanic Black, and 68 [35.4%] were non-Hispanic White. Obstetric hemorrhage was the leading primary cause of SMM (83 [43.2%]), followed by COVID-19 infection (57 [29.7%]) and hypertensive disorders of pregnancy (17 [8.9%]). The SMM rate was highest among Hispanic patients (154.9 per 10 000 deliveries), primarily driven by COVID-19 infection. The rate of SMM among non-Hispanic Black patients was nearly 50% higher than for non-Hispanic White patients (119.9 vs 65.7 per 10 000 deliveries). The SMM outcome assessed could have been prevented in 61 events (31.8%). Clinician-level factors and interventions in the antepartum period were most frequently cited as potentially altering the SMM outcome. Practices that were performed well most often pertained to hospitals' readiness and adequate response to managing pregnancy complications. Recommendations for care improvement focused mainly on timely recognition and rapid response to such. Conclusions and Relevance: The findings of this cross-sectional study, which used hospital-based SMM surveillance and review beyond the mere exploration of administrative data, offers opportunities for identifying valuable quality improvement strategies to reduce SMM. Immediate strategies to reduce SMM in Maryland should target its most common causes and address factors associated with preventability identified at individual hospitals.

Indexed as

COVID-19Black or African AmericanBlack PeopleChildCross-Sectional StudiesEthnicityFemaleHumansMarylandPregnancy

Identifiers

PMID36445707
PMCPMC9709651
OpenAlexW4310281447

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.