Evidence map›Paper›PMID 21941662›Full record

ArticleISRN obstetrics and gynecology2011

Identifying mothers with postpartum depression early: integrating perinatal mental health care into the obstetric setting.

Helen Chen, Jemie Wang, Ying Chia Ch'ng, Roshayati Mingoo, Theresa Lee, Julia Ong

Registry-linked trialAbstract read
In one paragraph

Article in ISRN obstetrics and gynecology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02760004 (PRogram In Support of Moms), which is not on this map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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.

NCT02760004 nacompletednot on this mapstarted 2017, after this paper: background citation

PRogram In Support of Moms: An Innovative Stepped-Care Approach for Obstetrics and Gynecology Clinics

TypeinterventionalSponsorUniversity of Massachusetts, WorcesterRan2017 to 2022Enrolled312ConditionsDepressionArmsPRogram In Support of Moms (PRISM), MCPAP for Moms
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  11. Inflammatory modulation of the associations between prenatal maternal depression and neonatal brain.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
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  13. Chinese Women's Acceptance and Uptake of Referral after Screening for Perinatal Depression.International journal of environmental research and public health · 2020
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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

6 authors.

Helen ChenPostnatal Depression Intervention Programme, Mental Wellness Service, Kandang Kerbau Women's and Children's Hospital (KKH), 100 Bukit Timah Road, Singapore 229899.
Jemie Wang
Ying Chia Ch'ng
Roshayati Mingoo
Theresa Lee
Julia Ong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With prevalence rates of postnatal depression (PND) as high as at least 7%, there was a need for early detection and intervention of postpartum mental illness amongst Singaporean mothers. This is a report on the first year results of our country's first PND Intervention Programme. The programme consists of two phases: (1) postpartum women were screened with the Edinburgh Postnatal Depression Scale and provided appropriate care plans; (2) individualized clinical intervention using a case management multidisciplinary team model. Screening for PND was generally acceptable, as 64% eligible women participated voluntarily. Nine percent (126) were identified as probable cases from 1369 women. Forty-one women accepted intervention and achieved 78% reduction in the EPDS symptom scores to below the cutoff of 13, 76% had improvement in GAF functioning scores, and 68% had improved health quality scores. Preliminary results are promising, and this intervention model can be replicated.

Identifiers

PMID21941662
PMCPMC3173886

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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.