Evidence map›Paper›PMID 39361419›Full record

ArticleJMIR pediatrics and parenting2024

Predictors of Participation in a Perinatal Text Message Screening Protocol for Maternal Depression and Anxiety: Prospective Cohort Study.

Julia Barnwell, Cindy Hénault Robert, Tuong-Vi Nguyen, Kelsey P Davis, Chloé Gratton, Guillaume Elgbeili, Hung Pham, Michael J Meaney, Tina C Montreuil, Kieran J O'Donnell

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2024. 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

10 authors.

Julia BarnwellDepartment of Human Genetics, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-8416-9687
Cindy Hénault RobertResearch Institute of the McGill University Health Centre, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-1545-4454
Tuong-Vi NguyenResearch Institute of the McGill University Health Centre, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-2749-6942
Kelsey P DavisResearch Institute of the McGill University Health Centre, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-8123-552X
Chloé GrattonDouglas Research Centre, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-0273-4238
Guillaume ElgbeiliResearch Institute of the McGill University Health Centre, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-3928-6416
Hung PhamYale Child Study Center, Yale School of Medicine, New Haven, CT, United States.ORCID https://orcid.org/0000-0002-8271-9355
Michael J MeaneyDepartment of Psychiatry, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-8605-1997
Tina C Montreuil *Research Institute of the McGill University Health Centre, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-4549-1216
Kieran J O'Donnell *Department of Psychiatry, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-3935-1014

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundUniversal screening for depression and anxiety in pregnancy has been recommended by several leading medical organizations, but the implementation of such screening protocols may overburden health care systems lacking relevant resources. Text message screening may provide a low-cost, accessible alternative to in-person screening assessments. However, it is critical to understand who is likely to participate in text message-based screening protocols before such approaches can be implemented at the population level.

objectiveThis study aimed to examine sources of selection bias in a texting-based screening protocol that assessed symptoms of depression and anxiety across pregnancy and into the postpartum period.

methodsParticipants from the Montreal Antenatal Well-Being Study (n=1130) provided detailed sociodemographic information and completed questionnaires assessing symptoms of depression (Edinburgh Postnatal Depression Scale [EPDS]) and anxiety (State component of the State-Trait Anxiety Inventory [STAI-S]) at baseline between 8 and 20 weeks of gestation (mean 14.5, SD 3.8 weeks of gestation). Brief screening questionnaires, more suitable for delivery via text message, assessing depression (Whooley Questions) and anxiety symptoms (Generalized Anxiety Disorder 2-Item questionnaire) were also collected at baseline and then via text message at 14-day intervals. Two-tailed t tests and Fisher tests were used to identify maternal characteristics that differed between participants who responded to the text message screening questions and those who did not. Hurdle regression models were used to test if individuals with a greater burden of depression and anxiety at baseline responded to fewer text messages across the study period.

resultsParticipants who responded to the text messages (n=933) were more likely than nonrespondents (n=114) to self-identify as White (587/907, 64.7% vs 39/96, 40.6%; P<.001), report higher educational attainment (postgraduate: 268/909, 29.5% vs 15/94, 16%; P=.005), and report higher income levels (CAD $150,000 [a currency exchange rate of CAD $1=US $0.76 is applicable] or more: 176/832, 21.2% vs 10/84, 11.9%; P<.001). There were no significant differences in symptoms of depression and anxiety between the 2 groups at baseline or postpartum. However, baseline depression (EPDS) or anxiety (STAI-S) symptoms did predict the total number of text message time points answered by participants, corresponding to a decrease of 1% (e

conclusionsFindings from this study highlight the feasibility of text message-based screening protocols with high participation rates. However, our findings also highlight how screening and service delivery via digital technology could exacerbate disparities in mental health between certain patient groups.

Indexed as

digital screeningmaternal anxietymaternal depressionmHealthmobile healthmobile phoneperinatal mental healthpregnancytext messaging

Identifiers

PMID39361419
PMCPMC11487212

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.