Evidence map›Paper›PMID 35939075›Full record

ArticleSocial psychiatry and psychiatric epidemiology2022

Perinatal mental illness among women with disabilities: a population-based cohort study.

Hilary K Brown, Simone N Vigod, Kinwah Fung, Simon Chen, Astrid Guttmann, Susan M Havercamp, Susan L Parish, Joel G Ray, Yona Lunsky

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Article
  5. Article
  6. 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

9 authors at 6 institutions in 2 countries.

Hilary K BrownDepartment of Health & Society, University of Toronto Scarborough, Toronto, Canada. hk.brown@utoronto.ca.ORCID http://orcid.org/0000-0002-8690-5841
Simone N VigodDepartment of Psychiatry, University of Toronto, Toronto, Canada.
Kinwah FungICES (Formerly the Institute for Clinical Evaluative Sciences), Toronto, Canada.
Simon ChenICES (Formerly the Institute for Clinical Evaluative Sciences), Toronto, Canada.
Astrid GuttmannICES (Formerly the Institute for Clinical Evaluative Sciences), Toronto, Canada.
Susan M HavercampCenter for Psychiatry and Behavioral Health, Wexner Medical Center, Ohio State University, Columbus, USA.
Susan L ParishCollege of Health Professions, Virginia Commonwealth University, Richmond, USA.
Joel G RayICES (Formerly the Institute for Clinical Evaluative Sciences), Toronto, Canada.
Yona LunskyDepartment of Psychiatry, University of Toronto, Toronto, Canada.
University of Toronto · CAInstitute for Clinical Evaluative Sciences · CACentre for Addiction and Mental Health · CASt. Michael's Hospital · CAThe Ohio State University Wexner Medical Center · USVirginia Commonwealth University · US

Funding

Pregnancy in Women with Disabilities: Using Novel Methods to Characterize RiskR01HD092326 · NICHD · UNIVERSITY OF TORONTO · PI BROWN, HILARY, LUNSKY, YONA · 2017 to 2020
$590k
Eunice Kennedy Shriver National Institute of Child Health and Human Development 5R01HD092326NICHD NIH HHS R01 HD092326
6 · The paper itself

Abstract

purposeTo examine the risk of perinatal mental illness, including new-onset disorders and recurrent or ongoing use of mental health care, comparing women with physical, sensory, intellectual/developmental, and multiple disabilities to those without a disability.

methodsFrom all women aged 15-49 years with a singleton birth in Ontario, Canada (2003-2018), those with physical (n = 144,972), sensory (n = 45,249), intellectual/developmental (n = 2,227), and ≥ 2 of these disabilities ("multiple disabilities"; n = 8,883), were compared to 1,601,363 without a disability on risk of healthcare system contact for mental illness from conception to 365 days postpartum. The cohort was stratified into: (1) no pre-pregnancy mental illness (to identify new-onset illness), (2) distal mental illness (> 2 years pre-pregnancy, to identify recurrent illness), and (3) recent mental illness (0-2 years pre-pregnancy, to identify ongoing contact). Modified Poisson regression generated relative risks (aRR), adjusted for age, parity, income quintile, and rural residence.

resultsAbout 14.7, 26.5, and 56.6% of women with no disabilities had new-onset, recurrent, and ongoing contact for mental illness, respectively, perinatally. Risks were elevated across disability groups for new-onset (physical: aRR 1.18, 95% CI 1.16-1.20; sensory: 1.11, 1.08-1.15; intellectual/developmental: 1.38, 1.17-1.62; multiple: 1.24, 1.15-1.33), recurrent (physical: 1.10, 1.08-1.12; sensory 1.06, 1.02-1.09; intellectual/developmental: 1.24, 1.11-1.37; multiple: 1.16, 1.09-1.23), and ongoing contact (physical: 1.09, 1.08-1.10; sensory: 1.08, 1.06-1.10; intellectual/developmental: 1.31, 1.26-1.37; multiple: 1.20, 1.16-1.23).

conclusionThe heightened use of new, recurrent, and ongoing mental health care across disability groups in the perinatal period suggests that adapted screening and intervention approaches are critical to optimize perinatal mental health in this population.

Indexed as

Intellectual DisabilityPersons with DisabilitiesPregnancy ComplicationsChildCohort StudiesDevelopmental DisabilitiesFemaleHumansOntarioPregnancyPregnancy OutcomeDisabilityMental healthPostpartum periodPregnancy

Identifiers

PMID35939075
PMCPMC9722243
OpenAlexW4290722461

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.