Evidence map›Paper›PMID 33571687›Full record

ArticleContemporary clinical trials2021

Comparing recruitment strategies for a digital smoking cessation intervention: Technology-assisted peer recruitment, social media, ResearchMatch, and smokefree.gov.

Jamie M Faro, Catherine S Nagawa, Elizabeth A Orvek, Bridget M Smith, Amanda C Blok, Thomas K Houston, Ariana Kamberi, Jeroan J Allison, Sharina D Person, Rajani S Sadasivam

Registry-linked trialAbstract read
In one paragraph

Article in Contemporary clinical trials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03224520 (Smoker-to-Smoker), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT03224520 nacompletednot on this map

Smoker-to-Smoker (S2S) Peer Marketing and Messaging to Disseminate Tobacco

TypeinterventionalSponsorUniversity of Massachusetts, WorcesterRan2017 to 2020Enrolled1,487ConditionsSmoking CessationArmsRecommender CTHC, Standard CTHC, Peer Recruitment, Standard Online Recruitment
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

10 authors.

Jamie M FaroDivision of Health Informatics and Implementation Science, Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States. Electronic address: Jamie.faro@umassmed.edu.
Catherine S NagawaDivision of Health Informatics and Implementation Science, Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.
Elizabeth A OrvekDivision of Health Informatics and Implementation Science, Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.
Bridget M SmithCenter of Innovation for Complex Chronic Healthcare (CINCCH), Spinal Cord Injury Quality Enhancement Research Initiative (QUERI), Hines VAMC, Chicago, IL, United States; Department of Pediatrics and Center for Community Health, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Amanda C BlokDepartment of Systems, Populations and Leadership, University of Michigan School of Nursing, Ann Arbor, MI, United States.
Thomas K HoustonWake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC, United States.
Ariana KamberiDivision of Health Informatics and Implementation Science, Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.
Jeroan J AllisonDivision of Health Informatics and Implementation Science, Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.
Sharina D PersonDivision of Biostatistics and Health Services Research, Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.
Rajani S SadasivamDivision of Health Informatics and Implementation Science, Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States.

Funding

iDAPT: Implementation and Informatics - Developing Adaptable Processes and Technologies for Cancer Control P50CA244693 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HOUSTON, THOMAS K · 2019 to 2023
$4.1M
K12 Cardiopulmonary Implementation Science Scholars ProgramK12HL138049 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEMON, STEPHENIE C., LINDENAUER, PETER KYLE · 2017 to 2021
$2.7M
Implementation Research Training Program in Cancer Prevention and ControlR25CA172009 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HOUSTON, THOMAS K, LEMON, STEPHENIE C. · 2014 to 2018
$1.9M
Prevention And Control of Cancer: Training for Change in Individuals and SystemsT32CA172009 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEMON, STEPHENIE C., OCKENE, JUDITH K · 2019 to 2023
$1.5M
NCI NIH HHS P50 CA244693NCI NIH HHS R25 CA172009NCI NIH HHS T32 CA172009NHLBI NIH HHS K12 HL138049
6 · The paper itself

Abstract

backgroundChoosing the right recruitment strategy has implications for the successful conduct of a trial. Our objective was to compare a novel peer recruitment strategy to four other recruitment strategies for a large randomized trial testing a digital tobacco intervention.

methodsWe compared enrollment rates, demographic and baseline smoking characteristics, and odds of completing the 6-month study by recruitment strategy. Cost of recruitment strategies per retained participant was calculated using staff personnel time and advertisement costs.

findingsWe enrolled 1487 participants between August 2017 and March 2019 from: Peer recruitment n = 273 (18.4%), Facebook Ads n = 505 (34%), Google Ads = 200 (13.4%), ResearchMatch n = 356 (23.9%) and Smokefree.govn = 153 (10.3%). Mean enrollment rate per active recruitment month: 1) Peer recruitment, n = 13.9, 2) Facebook ads, n = 25.3, 3) Google ads, n = 10.51, 4) Research Match, n = 59.3, and 5) Smokefree.gov, n = 13.9. Peer recruitment recruited the greatest number of males (n = 110, 40.3%), young adults (n = 41, 14.7%), participants with a high school degree or less (n = 24, 12.5%) and smokers within one's social network. Compared to peer recruitment (retention rate = 57%), participants from Facebook were less likely (OR 0.46, p < 0.01, retention rate = 40%), and those from ResearchMatch were more likely to complete the study (OR 1.90, p < 0.01, retention rate = 70%). Peer recruitment was moderate in cost per retained participant ($47.18) and substantially less costly than Facebook ($173.60).

conclusionsThough peer recruitment had lower enrollment than other strategies, it may provide greater access to harder to reach populations and possibly others who smoke within one's social network while being moderately cost-effective. ClinicalTrials.gov: NCT03224520.

Indexed as

Smoking CessationSocial MediaHumansMaleSmokersTechnologyTobacco SmokingYoung AdultDigital interventionDisseminationPeer recruitmentSmoking cessationTailored

Identifiers

PMID33571687
PMCPMC8089044

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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.