Evidence map›Paper›PMID 40599231›Full record

ReviewFrontiers in psychiatry2025

International best-practice models for perinatal and infant mental health care - a scoping review.

Inanna Reinsperger, Jean Lillian Paul, Ingrid Zechmeister-Koss

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Inanna ReinspergerHTA Austria - Austrian Institute for Health Technology Assessment GmbH, Vienna, Austria.
Jean Lillian PaulDivision of Psychiatry I, Department of Psychiatry, Psychotherapy, Psychosomatics, and Medical Psychology, Medical University Innsbruck, Innsbruck, Austria.
Ingrid Zechmeister-KossHTA Austria - Austrian Institute for Health Technology Assessment GmbH, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Perinatal mental illnesses (PMI) affect up to 20% of women and 10% of men during pregnancy and in the first year after the birth of the child. Perinatal mental illness contributes significantly to maternal mortality and adverse neonatal, infant, and child outcomes. Because of the high prevalence and the impact of PMI on both the parents and the infant, there is an urgent need for rapid and effective care. The aim of this scoping review was to identify comprehensive evidence-based guidelines and care models for the prevention and treatment of PMI and summarize their common characteristics. Methods: We searched manually in several databases and on websites of relevant institutions and contacted experts. We included guidelines and guidance documents based on pre-defined inclusion criteria. Results: We identified six relevant guidelines and care models from four countries (United Kingdom, Ireland, Canada, Australia). The identified documents highlight the need for integrated care models (including prevention, early identification, counseling, treatment), clear referral pathways, stepped-care approaches and multi-professional, coordinated networks. Conclusions: The 'ideal' care model should consider not only the mental health of the mother, but also that of the father/co-parent and the children, as well as the parent-infant relationship. The results from this scoping review can be used for further discussion and as decision support for designing, developing, and implementing perinatal and infant mental health (PIMH) care.

Indexed as

care modelsevidence-based guidelinesintegrated careperinatal mental healthpostpartum periodpregnancy

Identifiers

PMID40599231
PMCPMC12209273

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.