Evidence map›Paper›PMID 42111250›Full record

ArticleJournal of the colleges of medicine of South Africa2026

Service use and obstetric outcomes in pregnant women attending a Women's Mental Health Clinic.

Menasia Patterson, Deidré Mason, Juané Voges, Kerry-Ann Louw

Abstract read
In one paragraph

Article in Journal of the colleges of medicine of South Africa, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Menasia PattersonDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0009-0007-4818-2340
Deidré MasonDepartment of Obstetrics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-7316-0844
Juané VogesDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-1839-8371
Kerry-Ann LouwDepartment of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-4931-5084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding the characteristics of women attending perinatal mental health services, their service utilisation and obstetric outcomes is important to guide planning and improve perinatal mental health services. This study aimed to describe referral patterns, sociodemographic and clinical profiles, mental health service use and obstetric outcomes among pregnant women attending a tertiary Women's Mental Health Clinic at an academic tertiary hospital in Cape Town, South Africa. Methods: A descriptive study of all women who attended the Women's Mental Health Clinic service from April 2022 to March 2023 ( Results: Most referrals received were for managing pre-existing mental illness in pregnancy (72.0%, Conclusion: The findings underscore the need for earlier identification and referral of women with perinatal mental health conditions, improved service integration and monitoring of obstetric outcomes. Contribution: This study provides context-specific knowledge that may inform clinical care, funding and future research directions for pregnant women attending mental health clinics.

Indexed as

obstetric outcomesperinatal mental healthperinatal psychiatryperinatal service usereferral pathwayswomen’s mental health

Identifiers

PMID42111250
PMCPMC13149899

What OpenQuestion holds

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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.