Evidence map›Paper›PMID 41135047›Full record

ArticleJMIR pediatrics and parenting2025

Challenges and Opportunities in Recruiting a Very Large Sample of Pregnant Individuals: Secondary Analysis of an Online Nationwide Randomized Controlled Trial.

Breanne Laird, Sara Moyer, Jennifer Huberty, Susan Bodnar-Deren, Patricia Kinser

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Breanne LairdCollege of Health Solutions, Arizona State University, 500 North 3rd Street, Tempe, AZ, 85004, United States, 1 9095574002.ORCID http://orcid.org/0000-0002-3768-8764
Sara MoyerFamily and Community Health Nursing, School of Nursing, Virginia Commonwealth University, Richmond, VA, United States.ORCID http://orcid.org/0000-0002-4655-5883
Jennifer HubertyFit Minded, Inc, Phoenix, AZ, United States.ORCID http://orcid.org/0000-0002-0276-4640
Susan Bodnar-DerenDepartment of Sociology and Institute for Women's Health, College of Humanities and Sciences, Virginia Commonweath University, Richmond, VA, United States.ORCID http://orcid.org/0000-0002-7040-5711
Patricia KinserFamily and Community Health Nursing, School of Nursing, Virginia Commonwealth University, Richmond, VA, United States.ORCID http://orcid.org/0000-0001-9319-8922

Funding

A multisite randomized controlled trial of an internet-based program for preventing and reducing perinatal depressive symptomsR01HD100395 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI KINSER, PATRICIA ANNE · 2020 to 2024
$2.5M
NICHD NIH HHS R01 HD100395
6 · The paper itself

Abstract

Background: It is challenging to recruit vulnerable populations such as pregnant individuals, particularly during the perinatal period, which involves significant life changes and stressful situations that may create barriers to participation. Barriers to participation are even more prominent in historically marginalized populations, such as minoritized and low-income populations. Current literature is limited on recruitment methods, and specific activities may be best to recruit diverse pregnant individuals into online studies for the promotion of perinatal mental health. Objective: The aim of this paper is to describe recruitment methods and strategies used to recruit a large sample (n=1953) of diverse pregnant individuals to an online nationwide large-scale randomized controlled trial, the Mamma Mia Study. Methods: The Mamma Mia study is a multisite randomized controlled trial of an online- and mobile-based intervention for preventing and reducing perinatal depressive symptoms, based in the United States. The study intended to ensure a diverse national representation in the study population, with internal team demographic goals of at least 50% of participants identifying as a race or ethnicity other than White and at least 25% low-income (defined as a household income of less than US $50,000). Institutional review board-approved active and passive recruitment methods, both online nationally and in-person locally, were used to recruit eligible pregnant individuals. Results: Combining local and in-person with national and online recruitment methods allowed for successful recruitment of a large and diverse sample of pregnant individuals, despite the necessity for several pivots due to national events (eg, the COVID-19 pandemic). In addition, this layered approach allowed the study to continue during an unplanned world event and be responsive to pivoting to meet recruitment goals. Recruitment approaches and methods that were the most successful were establishing community partnerships both online nationally and in-person locally, dedicated research time to focus on recruiting historically marginalized groups for a more representative sample, allocation of study time and resources to recruitment preparation, and dedicated internal research team recruitment planning and tracking. Conclusions: Researchers should continue to publish and disseminate specific details about recruitment efforts and results, highlighting both aspects of success and lessons learned, as well as the pivot points in their recruitment methods for shared learning.

Indexed as

digital healthmaternal healthmental healthperinatal healthrecruitment

Identifiers

PMID41135047
PMCPMC12551933

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.