Evidence map›Paper›PMID 23635417›Full record

ArticleJournal of medical Internet research2013

Who participates in Web-assisted tobacco interventions? The QUIT-PRIMO and National Dental Practice-Based Research Network Hi-Quit studies.

Rajani Shankar Sadasivam, Rebecca L Kinney, Kathryn Delaughter, Sowmya R Rao, Jessica Hillman Williams, Heather L Coley, Midge N Ray, Gregg H Gilbert, Jeroan J Allison, Daniel E Ford and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of medical Internet research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  12. Share2Quit: Online Social Network Peer Marketing of Tobacco Cessation Systems.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2017
    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

13 authors at 3 institutions in 1 country.

Rajani Shankar SadasivamDivision of Health Informatics & Implementation Science, University of Massachusetts Medical School, Worcester, MA, USA. rajani.sadasivam@umassmed.edu
Rebecca L Kinney
Kathryn Delaughter
Sowmya R Rao
Jessica Hillman Williams
Heather L Coley
Midge N Ray
Gregg H Gilbert
Jeroan J Allison
Daniel E Ford
Thomas K Houston
National Dental PBRN Group
QUIT-PRIMO Collaborative Group
University of Massachusetts Chan Medical School · USUniversity of Alabama at Birmingham · USJohns Hopkins University · US

Funding

The National Dental PBRNU19DE022516 · NIDCR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GILBERT, GREGG H · 2012 to 2018
$66.4M
Dental PBRN Network ChairU01DE016747 · NIDCR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GILBERT, GREGG H · 2005 to 2011
$17.3M
University of Massachusetts Center for Clinical and Translational ScienceUL1TR000161 · NCATS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUZURIAGA, KATHERINE F · 2012 to 2015
$11.0M
Dental Practice-Based Research Network Coordinating CtrU01DE016746 · NIDCR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FUNKHOUSER, ELLEN M · 2005 to 2011
$7.0M
QUIT-PRIMO:Web-delivered Clinical Microsystem Intervention for Tobacco ControlR01CA129091 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HOUSTON, THOMAS K · 2008 to 2012
$2.9M
Developing Smokers for Smoker (S4S): A Collective Intelligence tailoring systemK07CA172677 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SADASIVAM, RAJANI · 2013 to 2017
$702k
NCATS NIH HHS UL1 TR000161NCATS NIH HHS UL1TR000161NCI NIH HHS K07 CA172677NCI NIH HHS R01 CA129091NIDCR NIH HHS U01 DE016746NIDCR NIH HHS U01 DE016747NIDCR NIH HHS U01 DE16746NIDCR NIH HHS U01 DE16747NIDCR NIH HHS U19 DE022516NIDCR NIH HHS U19 DE22516
6 · The paper itself

Abstract

introductionSmoking is the most preventable cause of death. Although effective, Web-assisted tobacco interventions are underutilized and recruitment is challenging. Understanding who participates in Web-assisted tobacco interventions may help in improving recruitment.

objectivesTo understand characteristics of smokers participating in a Web-assisted tobacco intervention (Decide2Quit.org).

methodsIn addition to the typical Google advertisements, we expanded Decide2Quit.org recruitment to include referrals from medical and dental providers. We assessed how the expanded recruitment of smokers changed the users' characteristics, including comparison with a population-based sample of smokers from the national Behavioral Risk Factors Surveillance Survey (BRFSS). Using a negative binomial regression, we compared demographic and smoking characteristics by recruitment source, in particular readiness to quit and association with subsequent Decide2Quit.org use.

resultsThe Decide2Quit.org cohort included 605 smokers; the 2010 BRFSS dataset included 69,992. Compared to BRFSS smokers, a higher proportion of Decide2Quit.org smokers were female (65.2% vs 45.7%, P=.001), over age 35 (80.8% vs 67.0%, P=.001), and had some college or were college graduates (65.7% vs 45.9%, P=.001). Demographic and smoking characteristics varied by recruitment; for example, a lower proportion of medical- (22.1%) and dental-referred (18.9%) smokers had set a quit date or had already quit than Google smokers (40.1%, P<.001). Medical- and dental-referred smokers were less likely to use Decide2Quit.org functions; in adjusted analysis, Google smokers (predicted count 17.04, 95% CI 14.97-19.11) had higher predicted counts of Web page visits than medical-referred (predicted count 12.73, 95% CI 11.42-14.04) and dental-referred (predicted count 11.97, 95% CI 10.13-13.82) smokers, and were more likely to contact tobacco treatment specialists.

conclusionsRecruitment from clinical practices complimented Google recruitment attracting smokers less motivated to quit and less experienced with Web-assisted tobacco interventions.

Indexed as

InternetSmoking CessationAdultCohort StudiesDental Health ServicesFemaleHumansMaleMiddle AgedNicotianaYoung Adultdental practiceGoogle advertisementsmedical practicepublic health informaticssmoking cessationWeb-assisted tobacco intervention

Identifiers

PMID23635417
PMCPMC3650921
OpenAlexW2109896862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.