Evidence map›Paper›PMID 38659431›Full record

ArticleThe Lancet regional health. Western Pacific2024

Association between maternal mental health-related hospitalisation in the 5 years prior to or during pregnancy and adverse birth outcomes: a population-based retrospective cohort data linkage study in the Northern Territory of Australia.

Abel Fekadu Dadi, Vincent He, Kiarna Brown, Karen Hazell-Raine, Nicole Reilly, Rebecca Giallo, Kym M Rae, Philip Hazell, Steven Guthridge

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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  3. Article
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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

9 authors at 6 institutions in 2 countries.

Abel Fekadu DadiMenzies School of Health Research, Charles Darwin University, Darwin, Australia.
Vincent HeMenzies School of Health Research, Charles Darwin University, Darwin, Australia.
Kiarna BrownMenzies School of Health Research, Charles Darwin University, Darwin, Australia.
Karen Hazell-RaineFaculty of Health, Charles Darwin University, Darwin, Australia.
Nicole ReillyDiscipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Sydney and St John of God Burwood Hospital, Sydney, Australia.
Rebecca GialloFaculty of Health, School of Psychology, Deakin University, Geelong, VIC, Australia.
Kym M RaeMater Research Institute, Aubigny Place, Raymond Terrace, South Brisbane, QLD, Australia.
Philip HazellSchool of Medicine, Charles Darwin University, Australia.
Steven GuthridgeMenzies School of Health Research, Charles Darwin University, Darwin, Australia.
Charles Darwin University · AUThe University of Sydney · AUAddis Continental Institute of Public Health · ETDeakin University · AUMater Research · AUUniversity of Wollongong · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental health conditions prior to or during pregnancy that are not addressed can have adverse consequences for pregnancy and birth outcomes. This study aimed to determine the extent to which women's mental health-related hospitalisation (MHrH) prior to or during pregnancy was associated with a risk of adverse birth outcomes. Methods: We linked the perinatal data register for all births in the Northern Territory, Australia, from the year 1999 to 2017, to hospital admissions records to create a cohort of births to women aged 15-44 years with and without MHrH prior to or during pregnancy. We used Modified Poisson Regression and Latent Class Analysis to assess the association between maternal MHrH and adverse birth outcomes (i.e., stillbirth, preterm birth, low birth weight, and short birth length). We explored a mediation effect of covariates on theoretical causal paths. We calculated the adjusted Population Attributable Fraction (PAF) and Preventive Fractions for the Population (PFP) for valid associations. Findings: From 72,518 births, 70,425 births (36.4% for Aboriginal women) were included in the analysis. The Latent Class Analys identified two classes: high (membership probability of 10.5%) and low adverse birth outcomes. Births to Aboriginal women with MHrH were around two times more likely to be in the class of high adverse birth outcomes. MHrH prior to or during pregnancy increased the risk of all adverse birth outcomes in both populations with risk ranging from 1.19 (95% CI: 1.05, 1.35) to 7.89 (1.17, 53.37). Eight or more antenatal care visits and intrauterine growth restriction mostly played a significant mediation role between maternal MHrH and adverse birth outcomes with mediation effects ranging from 1.04 (1.01, 1.08) to 1.39 (1.14, 1.69). MHrH had a low to high population impact with a PAF ranging from 16.1% (5.1%, 25.7%) to 87.3% (14.3%, 98.1%). Eight or above antenatal care visits avert extra adverse birth outcomes that range from 723 (332-765) stillbirths to 3003 (1972-4434) preterm births. Interpretation: Maternal MHrH is a modifiable risk factor that explained a low to moderate risk of adverse birth outcomes in the Northern Territory. The knowledge highlights the need for the development and implementation of preconception mental health care into routine health services. Funding: The Child and Youth Development Research Partnership (CYDRP) data repository is supported by a grant from the Northern Territory Government.

Indexed as

Latent class analysisMental health-related hospitalizationPAFPPF

Identifiers

PMID38659431
PMCPMC11040136
OpenAlexW4394865980

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.