Evidence map›Paper›PMID 32374266›Full record

ArticleJournal of medical Internet research2020

Secure Asynchronous Communication Between Smokers and Tobacco Treatment Specialists: Secondary Analysis of a Web-Assisted Tobacco Intervention in the QUIT-PRIMO and National Dental PBRN Networks.

Rajani Shankar Sadasivam, Ariana Kamberi, Kathryn DeLaughter, Barrett Phillips, Jessica H Williams, Sarah L Cutrona, Midge N Ray, Gregg H Gilbert, Thomas K Houston, QUITPRIMO and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Trial
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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

11 authors at 4 institutions in 1 country.

Rajani Shankar Sadasivam *University of Massachusetts Medical School, Worcester, MA, United States.ORCID 0000-0001-8406-6207
Ariana Kamberi *University of Massachusetts Medical School, Worcester, MA, United States.ORCID 0000-0001-5363-825X
Kathryn DeLaughter *Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, United States.ORCID 0000-0001-9294-7282
Barrett Phillips *Veterans Affairs Central Western Massachusetts Healthcare System, Leeds, MA, United States.ORCID 0000-0003-4662-6386
Jessica H Williams *University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0002-4974-0232
Sarah L Cutrona *University of Massachusetts Medical School, Worcester, MA, United States.ORCID 0000-0002-4795-8377
Midge N Ray *University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0001-8828-1115
Gregg H Gilbert *University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0003-2017-625X
Thomas K Houston *University of Massachusetts Medical School, Worcester, MA, United States.ORCID 0000-0002-2909-4018
QUITPRIMO *University of Alabama at Birmingham, Birmingham, AL, United States.
National Dental PBRN Collaborative Group *University of Alabama at Birmingham, Birmingham, AL, United States.
University of Alabama at Birmingham · USUniversity of Massachusetts Chan Medical School · USEdith Nourse Rogers Memorial Veterans Hospital · USVA Central Western Massachusetts Healthcare System · US

Funding

The National Dental PBRNU19DE022516 · NIDCR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GILBERT, GREGG H · 2012 to 2018
$66.4M
The National Dental PBRN - Administrative CoreU19DE028717 · NIDCR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GILBERT, GREGG H · 2019 to 2025
$23.5M
Dental PBRN Network ChairU01DE016747 · NIDCR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GILBERT, GREGG H · 2005 to 2011
$17.3M
Dental Practice-Based Research Network Coordinating CtrU01DE016746 · NIDCR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FUNKHOUSER, ELLEN M · 2005 to 2011
$7.0M
Developing Smokers for Smoker (S4S): A Collective Intelligence tailoring systemK07CA172677 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SADASIVAM, RAJANI · 2013 to 2017
$702k
NCI NIH HHS K07 CA172677NIDCR NIH HHS U01 DE016746NIDCR NIH HHS U01 DE016747NIDCR NIH HHS U19 DE022516NIDCR NIH HHS U19 DE028717
6 · The paper itself

Abstract

backgroundWithin a web-assisted tobacco intervention, we provided a function for smokers to asynchronously communicate with a trained tobacco treatment specialist (TTS). Previous studies have not attempted to isolate the effect of asynchronous counseling on smoking cessation.

objectiveThis study aimed to conduct a semiquantitative analysis of TTS-smoker communication and evaluate its association with smoking cessation.

methodsWe conducted a secondary analysis of data on secure asynchronous communication between trained TTSs and a cohort of smokers during a 6-month period. Smokers were able to select their preferred TTS and message them using a secure web-based form. To evaluate whether the TTS used evidence-based practices, we coded messages using the Motivational Interviewing Self-Evaluation Checklist and Smoking Cessation Counseling (SCC) Scale. We assessed the content of messages initiated by the smokers by creating topical content codes. At 6 months, we assessed the association between smoking cessation and the amount of TTS use and created a multivariable model adjusting for demographic characteristics and smoking characteristics at baseline.

resultsOf the 725 smokers offered asynchronous counseling support, 33.8% (245/725) messaged the TTS at least once. A total of 1082 messages (TTSs: 565; smokers 517) were exchanged between the smokers and TTSs. The majority of motivational interviewing codes were those that supported client strengths (280/517, 54.1%) and promoted engagement (280/517, 54.1%). SCC code analysis showed that the TTS provided assistance to smokers if they were willing to quit (247/517, 47.8%) and helped smokers prepare to quit (206/517, 39.8%) and anticipate barriers (197/517, 38.1%). The majority of smokers' messages discussed motivations to quit (234/565, 41.4%) and current and past treatments (talking about their previous use of nicotine replacement therapy and medications; 201/565, 35.6%). The majority of TTS messages used behavioral strategies (233/517, 45.1%), offered advice on treatments (189/517, 36.5%), and highlighted motivations to quit (171/517, 33.1%). There was no association between the amount of TTS use and cessation. In the multivariable model, after adjusting for gender, age, race, education, readiness at baseline, number of cigarettes smoked per day at baseline, and the selected TTS, smokers messaging the TTS one or two times had a smoking cessation odds ratio (OR) of 0.8 (95% CI 0.4-1.4), and those that messaged the TTS more than two times had a smoking cessation OR of 1.0 (95% CI 0.4-2.3).

conclusionsOur study demonstrated the feasibility of using asynchronous counseling to deliver evidence-based counseling. Low participant engagement or a lack of power could be potential explanations for the nonassociation with smoking cessation. Future trials should explore approaches to increase participant engagement and test asynchronous counseling in combination with other approaches for improving the rates of smoking cessation.

Indexed as

CommunicationAdultAgedCohort StudiesConfidentialityCounselingFemaleHumansLongitudinal StudiesMaleMiddle AgedSmokersSmoking CessationTelemedicineYoung Adultdistance counselinginternet-based interventionsmoking cessationtobacco cessation

Identifiers

PMID32374266
PMCPMC7240437
OpenAlexW3004218033

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.