Evidence map›Paper›PMID 36434566›Full record

ArticleBMC psychiatry2022

The PPD-ACT app in Canada: feasibility and a latent class analysis of participants with postpartum depression recruited to a psychiatric genetics study using a mobile application.

Joanna Collaton, Cindy-Lee Dennis, Valerie H Taylor, Sophie Grigoriadis, Tim F Oberlander, Benicio N Frey, Ryan Van Lieshout, Jerry Guintivano, Samantha Meltzer-Brody, James L Kennedy and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 6 institutions in 2 countries.

Joanna CollatonDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-3216-9954
Cindy-Lee DennisWomen's College Hospital and Research Institute, 76 Grenville Street, Toronto, ON, Canada.ORCID 0000-0002-0135-7242
Valerie H TaylorWomen's College Hospital and Research Institute, 76 Grenville Street, Toronto, ON, Canada.ORCID 0000-0002-8948-638X
Sophie GrigoriadisDepartment of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Tim F OberlanderBC Women's Hospital and Health Centre, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-4781-6579
Benicio N FreyDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.ORCID 0000-0001-8267-943X
Ryan Van LieshoutDepartment of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.ORCID 0000-0001-7244-0222
Jerry GuintivanoUniversity of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0003-3541-1101
Samantha Meltzer-BrodyUniversity of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0002-8509-408X
James L KennedyDepartment of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-8733-3806
Simone N VigodWomen's College Hospital and Research Institute, 76 Grenville Street, Toronto, ON, Canada. simone.vigod@wchospital.ca.ORCID 0000-0002-2736-9639
University of Toronto · CASt. Joseph’s Healthcare Hamilton · CAUniversity of North Carolina at Chapel Hill · USCentre for Addiction and Mental Health · CASunnybrook Health Science Centre · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostpartum depression (PPD) and postpartum psychosis (PPP) are linked to negative consequences for women and families. Virtual applications present a solution to the challenge of recruiting large samples for genetic PPD/PPP research. This study aimed to evaluate the feasibility of a protocol for enrolling Canadian women with PPD and PPP to a large international psychiatric genetics study using a mobile application (PPD-ACT), and identify clinically distinct subtypes of PPD in the recruited sample.

methodsFrom April 2017-June 2019, Canadian women provided phenotypic data through the PPD-ACT app. Requests for a genetic sample were made from those with a current or past PPD episode based on an Edinburgh Postnatal Depression Scale (EPDS) score > 12 with onset in pregnancy or 0-3 months postpartum, and from those self-reporting lifetime PPP. Latent class analysis (LCA) was used to identify clinically distinct PPD subgroups based on participant responses to the EPDS scale.

resultsWe identified 797 PPD cases, 404 of whom submitted DNA. There were 109 PPP cases, with 66 submitting DNA. PPD cases (86.7% White, mean 4.7 +/- 7.0 years since their episode) came from across Canadian provinces/territories. LCA identified two PPD classes clinically distinct by symptom severity: [1] moderate-severity (mean EPDS = 18.5+/- 2.5; 8.6% with suicidality), and [2] severe (mean EPDS = 24.5+/- 2.1; 52.8% with suicidality).

conclusionsA mobile application rapidly collected data from individuals with moderate and severe symptoms of PPD, an advantage for genetics where specificity is optimal, as well as from women with a history of PPP, supporting future work using this approach.

Indexed as

Depression, PostpartumMobile ApplicationsPuerperal DisordersCanadaFeasibility StudiesFemaleHumansLatent Class AnalysisPregnancyRisk FactorsFeasibilityMobile appPost-partum depressionStudy recruitment

Identifiers

PMID36434566
PMCPMC9700884
OpenAlexW4310046512

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.