Evidence map›Paper›PMID 37341030›Full record

ArticleThe British journal of psychiatry : the journal of mental science2023

Clinical index to quantify the 1-year risk for common postpartum mental disorders at the time of delivery (PMH CAREPLAN): development and internal validation.

Simone N Vigod, Natalie Urbach, Andrew Calzavara, Cindy-Lee Dennis, Andrea Gruneir, Brett D Thombs, Mark Walker, Hilary K Brown

Abstract read
In one paragraph

Article in The British journal of psychiatry : the journal of mental science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

8 authors.

Simone N VigodDepartment of Psychiatry, Women's College Hospital and Research Institute, Toronto, Ontario, Canada; Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; ICES, Toronto, Ontario, Canada; and Institute for Health Policy, Management & Evaluation, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-2736-9639
Natalie UrbachFaculty of Medicine, Queens University, Kingston, ON, Canada.
Andrew CalzavaraICES, Toronto, Ontario, Canada.
Cindy-Lee DennisDepartment of Psychiatry, Women's College Hospital and Research Institute, Toronto, Ontario, Canada; Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; and Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-0135-7242
Andrea GruneirInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada; and Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada.
Brett D ThombsLady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada; Department of Medicine, McGill University, Montreal, Quebec, Canada; Department of Psychology McGill University, Montreal, Quebec, Canada; and Biomedical Ethics Unit, McGill University, Montreal, Quebec, Canada.ORCID https://orcid.org/0000-0002-5644-8432
Mark WalkerDepartment of Obstetrics and Gynecology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
Hilary K BrownDepartment of Health & Society, University of Toronto Scarborough, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada; and ICES, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-8690-5841

Funding

CIHR PCG-155466
6 · The paper itself

Abstract

backgroundCommon postpartum mental health (PMH) disorders such as depression and anxiety are preventable, but determining individual-level risk is difficult.

aimsTo create and internally validate a clinical risk index for common PMH disorders.

methodUsing population-based health administrative data in Ontario, Canada, comprising sociodemographic, clinical and health service variables easily collectible from hospital birth records, we developed and internally validated a predictive model for common PMH disorders and converted the final model into a risk index. We developed the model in 75% of the cohort (

resultsThe 1-year prevalence of common PMH disorders was 6.0%. Independently associated variables (forming the mnemonic PMH CAREPLAN) that made up the risk index were: (P) prenatal care provider; (M) mental health diagnosis history and medications during pregnancy; (H) psychiatric hospital admissions or emergency department visits; (C) conception type and complications; (A) apprehension of newborn by child services (newborn taken into care); (R) region of maternal origin; (E) extremes of gestational age at birth; (P) primary maternal language; (L) lactation intention; (A) maternal age; (N) number of prenatal visits. In the index (scored 0-39), 1-year common PMH disorder risk ranged from 1.5 to 40.5%. Discrimination (C-statistic) was 0.69 in development and validation samples; the 95% confidence interval of expected risk encompassed observed risk for all scores in development and validation samples, indicating adequate risk index calibration.

conclusionsIndividual-level risk of developing a common postpartum mental health disorder can be estimated with data feasibly collectable from birth records. Next steps are external validation and evaluation of various cut-off scores for their utility in guiding postpartum individuals to interventions that reduce their risk of illness.

Indexed as

Mental DisordersPsychotic DisordersFemaleHumansInfant, NewbornMental HealthOntarioPostpartum PeriodPregnancyanxietydepressionPostpartumpredictive modelrisk index

Identifiers

PMID37341030
PMCPMC10895501

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LicenceCC BY
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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.