Evidence map›Paper›PMID 29510223›Full record

ArticleContemporary clinical trials2018

Using Facebook to address smoking and heavy drinking in young adults: Protocol for a randomized, controlled trial.

Danielle E Ramo, Manpreet Kaur, Ella S Corpuz, Derek D Satre, Kevin Delucchi, Sandra A Brown, Judith J Prochaska

Open access · hybridAbstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Patterns and predictors of high-intensity drinking and implications for intervention.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Article
  7. Article
  8. 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

7 authors at 3 institutions in 1 country.

Danielle E RamoDepartment of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States. Electronic address: danielle.ramo@ucsf.edu.
Manpreet KaurDepartment of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Ella S CorpuzDepartment of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Derek D SatreDepartment of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Kevin DelucchiDepartment of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Sandra A BrownDepartment of Psychology and Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Judith J ProchaskaStanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, CA, United States.
University of California, San Francisco · USStanford University · USUniversity of California San Diego · US

Funding

Using Facebook to address smoking and heavy drinking in young adultsR34DA041637 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SATRE, DEREK D · 2016 to 2018
$759k
NIDA NIH HHS R34 DA041637
6 · The paper itself

Abstract

introductionTobacco and alcohol often are used simultaneously by young adults, and their co-use is associated with greater health consequences than from single use. Social media platforms offer low cost and highly accessible channels to reach and engage young people in substance use interventions. The current trial seeks to compare the Facebook Tobacco Status Project (TSP) smoking cessation intervention to an intervention targeting both tobacco use and heavy episodic drinking (TSP + ALC) among young adults who use both substances.

methodsThis randomized clinical trial will evaluate the feasibility and initial efficacy of TSP + ALC compared to TSP with 225 US young adult smokers reporting heavy drinking. Participants will be recruited online and randomized to one of two conditions (TSP or TSP + ALC), both with assignment to a Facebook group tailored to readiness to quit smoking. Groups will receive a 90-day intervention including daily Facebook postings and weekly live counseling sessions. The TSP + ALC group will include content related to alcohol use. All participants will be offered a 2-week introductory supply of nicotine patch. Participants will complete baseline, 3-, 6-, and 12-month online assessments of substance use and other health risk behaviors. The primary efficacy outcome is biochemically-verified 7-day point prevalence abstinence. Secondary outcomes include alcohol and tobacco use, combined use, and thoughts about each substance. DISCUSSION: This trial examines an innovative and scalable approach to engaging young adults online in tobacco and alcohol use treatment. Study findings will inform digital health interventions and best practices for treating multiple substance use in young adults.

Indexed as

Binge DrinkingSocial MediaTobacco Use Cessation DevicesUnderage DrinkingDistance CounselingFemaleHealth Knowledge, Attitudes, PracticeHumansInternetMaleMotivationOutcome Assessment, Health CareRandomized Controlled Trials as TopicRisk Reduction BehaviorSmokingSmoking CessationAlcoholBehavioral interventionClinical trialFacebookHeavy episodic drinkingSmokingSocial mediaTobaccoYoung adults

Identifiers

PMID29510223
PMCPMC5937713
OpenAlexW2797308735

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.