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Record W4409799478 · doi:10.3390/ijerph22050684

The Perinatal Multisite Psychiatry Databank: A Cohort Update

2025· article· en· W4409799478 on OpenAlexafffundabout
Mariane Aumais, François Freddy Ateba, Rahel Wolde-Giorghis, Kathelijne Keeren, Barbara Hayton, Sawsan M. Kalache, Isabelle Collin, Hannah Schwartz, K.M. Gust, Marie-Josée Poulin, Andréanne Wassef, Katherine Tardif, Martin St‐André, Iréna Stikarovska, Phyllis Zelkowitz, Catherine M. Herba, Eszter Székely

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2025
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversité du Québec à MontréalCentre Hospitalier Universitaire Sainte-JustineCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalInstitut Universitaire en Santé Mentale de QuébecUniversité de MontréalMcGill UniversityMcGill University Health CentreSt Mary's Hospital CentreCentre intégré universitaire de santé et de services sociaux de la Capitale-NationaleJewish General HospitalDouglas Mental Health University InstituteCentre Hospitalier de l’Université de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean
FundersLady Davis Institute for Medical ResearchFonds de Recherche du Québec - Santé
KeywordsPerinatal periodMedicinePsychosocialAnxietyContext (archaeology)Mental healthPsychiatryComorbidityDepression (economics)Postpartum periodPerinatal medicineCohortPregnancyPostpartum depressionFamily medicine

Abstract

fetched live from OpenAlex

The Perinatal Multisite Databank (PMD) aims at facilitating research on perinatal mental health by collecting clinical information of patients referred for evaluations at perinatal mental health clinics across the province of Quebec, Canada with the potential to improve patient care and support evidence-based practice. This study provides a detailed description of the first 693 participants concerning psychosocial risk characteristics, the prevalence of psychiatric disorders and comorbidity during the perinatal period, the evolution of perinatal depression and anxiety symptoms over time, and the treatments received. Data were collected using clinical reports and well-validated questionnaires at multiple timepoints (from pregnancy to 6 months postpartum). Results are discussed within the context of improving patient care and disease prevention strategies in the perinatal period.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.656
Threshold uncertainty score0.692

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.016
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.402
Teacher spread0.367 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

Explore more

Same venueInternational Journal of Environmental Research and Public Health→Same topicMaternal Mental Health During Pregnancy and Postpartum→French-language works237,207→