Trial reportBMC medical research methodology2014
You are how you recruit: a cohort and randomized controlled trial of recruitment strategies.
Trial report in BMC medical research methodology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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.
Who cites it
18 citing papers in PubMed.
- What do older women want from a physical activity program? Stakeholder consultation to optimise design and recruitment for the Active Women over 50 trial.BMC public health · 2024Trial
- Screen-time is associated with inattention problems in preschoolers: Results from the CHILD birth cohort study.PloS one · 2019Trial
- Trial
- Designing recruitment strategies for population-based human biomonitoring: evidence on participation and representativeness from Latvia.Archives of public health = Archives belges de sante publique · 2026Article
- Recruitment process for studying occupational and environmental chemical exposures in a birth cohort study in Ecuador: challenges dealing with a stratified sample.BMC pregnancy and childbirth · 2026Article
- Enhancing the Implementation of a high-quality randomized trial in pregnancy.Research square · 2026Article
- Collaborating to heal addiction and mental health in primary care (CHAMP): A protocol for a hybrid type 2a trial.Contemporary clinical trials · 2024Article
- Recruitment and retention strategies to promote research engagement among caregivers and their children: A scoping review.Journal of clinical and translational science · 2024Article
- Patient Recruitment Into a Multicenter Clinical Cohort Linking Electronic Health Records From 5 Health Systems: Cross-sectional Analysis.Journal of medical Internet research · 2021Article
- Strategies and Challenges in Recruiting Pregnant Women with Elevated Body Mass Index for a Behavioral Lifestyle Intervention.Women's health reports (New Rochelle, N.Y.) · 2020Article
- Perspectives on Successes and Challenges in the Recruitment and Retention of Pregnant Women in a Research Study.Clinical researcher (Alexandria, Va.) · 2019Article
- Risk for Maternal Depressive Symptoms and Perceived Stress by Ethnicities in Canada: From Pregnancy Through the Preschool Years.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2019Article
- The interaction of personal, contextual, and study characteristics and their effect on recruitment and participation of pregnant women in research: a qualitative study in Lebanon.BMC medical research methodology · 2018Article
- Effectiveness of community outreach and engagement in recruitment success for a prebirth cohort.Journal of clinical and translational science · 2017Article
- Can Facebook Be Used for Research? Experiences Using Facebook to Recruit Pregnant Women for a Randomized Controlled Trial.Journal of medical Internet research · 2016Article
- Dry needling of the trapezius muscle in office workers with neck pain: a randomized clinical trial.The Journal of manual & manipulative therapy · 2016Article
- Aiming for a representative sample: Simulating random versus purposive strategies for hospital selection.BMC medical research methodology · 2015Article
- Impact of preconception enrollment on birth enrollment and timing of exposure assessment in the initial vanguard cohort of the U.S. National Children's Study.BMC medical research methodology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundRecruitment is a challenge in developing population-representative pregnancy and birth cohorts.
methodsWe developed a collaborative recruitment infrastructure (CRI) to recruit pregnant women for 4 pregnancy cohorts using: faxes from obstetrical offices, in-clinic recruiters, university and funder-driven free-media events, paid-media, and attendance at relevant tradeshows. Recruitment rates and demographic differences were compared between recruitment methods.
resultsWe received 5008 referrals over 40 months. Compared to fax, free-media referrals were 13 times more likely to be recruited (OR 13.0, 95% CI 4.2, 40.4: p < 0.001) and paid-media referrals were 4 times more likely to be recruited (OR 4.6, 95% CI 2.1, 10.3: p < 0.001). Among paid-media advertisements, free-to-read print (e.g. Metro) was the most effective (OR 3.3, 95% CI 2.3, 4.5: p < 0.05). Several demographic differences were identified between recruitment methods and against a reference population. Between recruitment methods, media recruits had a similar proportion families with incomes ≥ $40,000 (paid-media: 94.4%; free-media: 93.3%) compared to fax recruits (95.7%), while in-clinic recruits were less likely to have family incomes ≥ $40,000 (88.8%, p < 0.05). Maternal recruits from fax and in-clinic were more likely to attend university (Fax: 92.6%, in-clinic 89.8%) versus the reference population (52.0%; p < 0.05 for both) and both were less likely to smoke (Fax: 6.8%, in-clinic 4.2%) versus reference (18.6%; p < 0.05 for both). However, while fax referrals were more likely to be Caucasian (85.9% versus reference 77.5%; p < 0.05), in-clinic referrals were not significantly different (78.2%; P > 0.05).
conclusionRecruitment methods result in different recruitment rates and participant demographics. A variety of methods are required to recruit a generalizable sample.
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Registered trials
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.