Evidence map›Paper›PMID 31173749›Full record

ArticleAmerican journal of obstetrics and gynecology2019

Maternal drug-related death and suicide are leading causes of postpartum death in California.

Sidra Goldman-Mellor, Claire E Margerison

Registry-linked trialAbstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07642947 (A Digitally Enhanced Model of Peer Doula Support for Substance Use Disorder and Peripartum Care), which is not on this map. Cited by 74 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing 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.

NCT07642947 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

A Digitally Enhanced Model of Peer Doula Support for Substance Use Disorder and Peripartum Care

TypeobservationalSponsorTrustees of Dartmouth CollegeRan2026 to 2027Enrolled100ConditionsPerinatal Substance UseArmsDigitally Enhanced Peer Doula Model of Care
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  11. Impact of substance use and trauma on postpartum readmission rates and hospitalization costs: An observational study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Observational
  12. Article
  13. Detection of Psychological Dysfunction and Suicide Risk Among Postpartum Women.Journal of clinical psychology in medical settings · 2025
    Article
  14. Article
  15. Article
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  20. Review

14 more citing papers are in PubMed but not listed here.

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

2 authors.

Sidra Goldman-MellorDepartment of Public Health, School of Social Sciences, Humanities, and Arts, University of California, Merced, CA. Electronic address: sgoldman-mellor@ucmerced.edu.
Claire E MargerisonDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI.

Funding

Pregnancy and beyond: windows into disparities in women's cardiovascular healthK01HL128843 · NHLBI · MICHIGAN STATE UNIVERSITY · PI MARGERISON, CLAIRE E · 2015 to 2019
$665k
Long-term health of adolescent suicide attempters: Healthcare utilization morbidity and costs.R15MH113108 · NIMH · UNIVERSITY OF CALIFORNIA, MERCED · PI GOLDMAN-MELLOR, SIDRA · 2017 to 2017
$564k
NHLBI NIH HHS K01 HL128843NIMH NIH HHS R15 MH113108
6 · The paper itself

Abstract

backgroundReducing maternal mortality is a priority in the United States and worldwide. Drug-related deaths and suicide may account for a substantial and growing portion of maternal deaths, yet information on the incidence of and sociodemographic variation in these deaths is scarce.

objectiveWe sought to examine incidence of drug-related and suicide deaths in the 12 months after delivery, including heterogeneity by sociodemographic factors. We also explored maternal decedents' health care utilization prior to death. STUDY

designThis retrospective, population-based cohort study followed up 1,059,713 women who delivered a live-born infant in California hospitals during 2010-2012 to ascertain maternal death. Analyses were conducted using statewide, all-payer, longitudinally-linked hospital and death data.

resultsA total of 300 women died during follow-up, a rate of 28.33 deaths per 100,000 person-years. The leading cause of death was obstetric-related problems (6.52 per 100,000 person-years). Drug-related deaths were the second leading cause of death (3.68 per 100,000 person-years), and suicide was the seventh leading cause (1.42 per 100,000 person-years); together these deaths comprised 18% of all maternal deaths. Non-Hispanic white women, Medicaid-insured women, and women residing in micropolitan areas were especially likely to die from drugs/suicide. Two thirds of women who died, including 74% of those who died by drugs/suicide, made ≥1 emergency department or hospital visit between their delivery and death.

conclusionDeaths caused by drugs and suicide are a major contributor to mortality in the postpartum period and warrant increased clinical attention, including recognition by physicians and Maternal Mortality Review Committees as a medical cause of death. Importantly, emergency department and inpatient hospital visits may serve as a point of identification of, and eventually prevention for, women at risk for these deaths.

Indexed as

AdultCaliforniaCohort StudiesDrug OverdoseEmergency Service, HospitalFemaleHumansMaternal MortalityMedicaidPregnancyPregnancy ComplicationsRetrospective StudiesSubstance-Related DisordersSuicide, CompletedUnited StatesUrban Populationaccidental deathdepressionmaternal morbiditymaternal mortalityopioid overdosepoisoning

Identifiers

PMID31173749
PMCPMC6829056

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Registered trials

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.