Evidence map›Paper›PMID 31217008›Full record

ArticleBMC medical research methodology2019

How different online recruitment methods impact on recruitment rates for the web-based coortesnaweb project: a randomised trial.

Cauane Blumenberg, Ana Maria Baptista Menezes, Helen Gonçalves, Maria Cecília Formoso Assunção, Fernando César Wehrmeister, Aluísio J D Barros

Abstract read
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Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Revista panamericana de salud publica = Pan American journal of public health · 2026
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  6. Aboriginal and Torres Strait Islander People Who Smoke and Want to Quit-A Cohort Profile From the Koori Quit Pack study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
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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

6 authors.

Cauane BlumenbergPost-Graduate Program in Epidemiology, Federal University of Pelotas, 1160 Marechal Deodoro St. - 3rd floor - 96020-220, Pelotas, Brazil. cauane.epi@gmail.com.ORCID 0000-0002-4580-3849
Ana Maria Baptista MenezesPost-Graduate Program in Epidemiology, Federal University of Pelotas, 1160 Marechal Deodoro St. - 3rd floor - 96020-220, Pelotas, Brazil.
Helen GonçalvesPost-Graduate Program in Epidemiology, Federal University of Pelotas, 1160 Marechal Deodoro St. - 3rd floor - 96020-220, Pelotas, Brazil.
Maria Cecília Formoso AssunçãoPost-Graduate Program in Epidemiology, Federal University of Pelotas, 1160 Marechal Deodoro St. - 3rd floor - 96020-220, Pelotas, Brazil.
Fernando César WehrmeisterPost-Graduate Program in Epidemiology, Federal University of Pelotas, 1160 Marechal Deodoro St. - 3rd floor - 96020-220, Pelotas, Brazil.
Aluísio J D BarrosPost-Graduate Program in Epidemiology, Federal University of Pelotas, 1160 Marechal Deodoro St. - 3rd floor - 96020-220, Pelotas, Brazil.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundThe number of web-based E-epidemiologic studies using online recruitment methods is increasing. However, the optimal online recruitment method in terms of maximizing recruitment rates is still unknown. Our aim was to compare the recruitment rates of three online recruitment methods and to describe how these rates differ according to individual's socioeconomic and demographic factors.

methodsA total of 2394 members of the 1993 Pelotas birth cohort that provided an e-mail address, a Facebook name, and a WhatsApp number during a face-to-face follow-up were randomly allocated to be recruited by e-mail, Facebook or WhatsApp (798 individuals per method). This was a parallel randomised trial applying a block randomisation (block size = 3). Between January and February 2018, we sent messages inviting them to register into the web-based coortesnaweb platform. Recruitment rates were calculated for each method, and stratified according to the individual's socioeconomic and demographic characteristics. We also analysed absolute and relative inequalities on recruitment according to schooling and socioeconomic position.

resultsOut of the 2394 individuals analysed, 642 registered into the platform. The overall recruitment rate was 26.8%. Recruitment rates for women were almost 10 percentage points higher compared to men. Facebook was the most effective recruitment method, as 30.6% of those invited through the social network were recruited. Recruitment rates of e-mail and WhatsApp were similar (recruitment rate = 24.9%). E-mail and Facebook were the most effective recruitment methods to invite highly educated and wealthier individuals. However, sending e-mails to recruit individuals also reflected in the highest inequalities according to schooling and socioeconomic position. In contrast, the lowest inequalities according to socioeconomic position were observed using Facebook.

conclusionsFacebook was the most effective online recruitment method, also achieving the most equitable sample in terms of schooling and socioeconomic position. The effectiveness of online recruitment methods depends on the characteristics of the sample. It is important to know the profile of the target sample in order to decide which online recruitment method to use.

trial registrationBrazilian Registry of Clinical Trials, identifier: RBR-3dv7gc , retrospectively registered in 10 April 2018.

Indexed as

Educational StatusInternetPatient SelectionSocial ClassAdultBrazilElectronic MailFemaleHumansMaleRandomized Controlled Trials as TopicResearch DesignSex FactorsYoung AdultE-epidemiologyEpidemiologyResearch subject recruitmentSurvey methodologyWeb surveys

Identifiers

PMID31217008
PMCPMC6585038

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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.