Evidence map›Paper›PMID 31080751›Full record

ArticleInternet interventions2019

Facebook ads to the rescue? Recruiting a hard to reach population into an Internet-based behavioral health intervention trial.

Lori Wozney, Karen Turner, Benjamin Rose-Davis, Patrick J McGrath

Abstract read
In one paragraph

Article in Internet interventions, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Mitigating fraud in a fully decentralized clinical trial of a digital health intervention.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
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  19. The healthcare experiences of women with cardiac disease in pregnancy and postpartum: A qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2022
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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

4 authors.

Lori WozneyNova Scotia Health Authority, Mental Health and Addictions Policy and Planning, E.C. Purdy Building, 302 Pleasant Street, Dartmouth, Nova Scotia B2Y 3Z9, Canada.
Karen TurnerCentre for Research in Family Health, IWK Health Centre, 5850-5980 University Avenue, Halifax, Nova Scotia, Halifax B3K 6R8, Canada.
Benjamin Rose-DavisCentre for Research in Family Health, IWK Health Centre, 5850-5980 University Avenue, Halifax, Nova Scotia, Halifax B3K 6R8, Canada.
Patrick J McGrathDalhousie University, Department of Psychiatry, 5909 Veterans' Memorial Lane, Halifax, Nova Scotia B3H 2E2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFacebook (FB) ads are touted as a way to facilitate recruitment of hard to reach participants into digital health research but the evidence has been mixed. This study aimed to empirically evaluate the impact and cost-effectiveness of paid ads for recruitment into a national trial testing an Internet-based, coached intervention for parents of children with Fetal Alcohol Spectrum Disorders.

methodsPost hoc analysis of FB ad data and Google analytics on the online trial consent site (myStudies) were conducted on 11 campaigns employing static image/text ads. Standard metrics (e.g., click through rate, cost per 1000 impressions, cost per consent) were calculated and descriptive statistics comparing FB ad engagement and enrolled participants over time were conducted.

resultsAd campaigns were active for a combined 115 days over 58 weeks resulting in 1533 links to the online recruitment site. During the ad campaigns, the mean rate of enrolment was 1 participant every 2 days. The first 3 ad campaigns were the most cost-effective. Mean cost per enrolment was $19.27 (Canadian dollars).

conclusionsFB ads were efficient and cost-effective in broad dissemination of trial information, but more research is needed to explore the impact of saturation (how often ads are posted), design (what is in the ad), and individual determinants (who is likely to respond to an ad) on converting FB ad engagement into enrolment. Avoiding a reductionist approach to analytics will help ensure appropriate and targeted strategies remain the priority for digital health research recruitment through social media.

Indexed as

AnalyticsClinical trialEpidemiologyFacebookInternet-based interventionsOnline recruitmentResearch designSocial media

Identifiers

PMID31080751
PMCPMC6500917

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.