Evidence map›Paper›PMID 29065202›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2018

What Do Smokers Want in A Smartphone-Based Cessation Application?

Jason A Oliver, Matthew B Hallyburton, Lauren R Pacek, John T Mitchell, Roger Vilardaga, Bernard F Fuemmeler, F Joseph McClernon

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

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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.

Jason A OliverCenter for Addiction Science and Technology, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicin, Durham, NC.
Matthew B HallyburtonCenter for Addiction Science and Technology, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicin, Durham, NC.
Lauren R PacekCenter for Addiction Science and Technology, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicin, Durham, NC.
John T MitchellCenter for Addiction Science and Technology, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicin, Durham, NC.
Roger VilardagaCenter for Addiction Science and Technology, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicin, Durham, NC.
Bernard F FuemmelerDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond, VA.
F Joseph McClernonCenter for Addiction Science and Technology, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicin, Durham, NC.

Funding

Mobile health interventions for varenicline adherence among HIV-positive smokersK01DA043413 · NIDA · DUKE UNIVERSITY · PI PACEK, LAUREN RENEE · 2017 to 2021
$860k
Nicotine Withdrawal and Reward Processing: Connecting Neurobiology toReal-World BehaviorK23DA042898 · NIDA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI OLIVER, JASON ANTHONY · 2017 to 2021
$855k
Innovative Smartphone Application for Quitting Smoking among Seriously Mentally IIIR00DA037276 · NIDA · DUKE UNIVERSITY · PI VILARDAGA, ROGER · 2016 to 2018
$747k
Emotion Dysregulation, ADHD, and SmokingK23DA032577 · NIDA · DUKE UNIVERSITY · PI MITCHELL, JOHN T · 2012 to 2015
$566k
NIDA NIH HHS K01 DA043413NIDA NIH HHS K23 DA032577NIDA NIH HHS K23 DA042898NIDA NIH HHS R00 DA037276
6 · The paper itself

Abstract

Background: Fueled by rapid technological advances over the past decade, there is growing interest in the use of smartphones to aid in smoking cessation. Hundreds of applications have been developed for this purpose, but little is known about how these applications are accessed and used by smokers or what features smokers believe would be most useful. Purpose: The present study sought to understand the prevalence of smartphone ownership and patterns of use among smokers as well as the perceived utility of various smartphone application features for smoking cessation that are currently in development or already available. Methods: Daily cigarette smokers (n = 224) reported on smartphone ownership, their patterns of smartphone usage, and perceived utility of features. Features were ranked according to perceived utility and differences in both perceived utility and general smartphone use patterns were examined as a function of demographic and smoking-related variables. Results: Most smokers (80.4%) own a smartphone, but experience with smoking cessation applications is extremely rare (6.1%). Ownership and patterns of usage differed as a function of demographic and smoking-related variables. Overall, gain-framed features were rated as most useful, while loss-framed and interpersonal features were rated as least useful. Conclusions: Mobile health interventions have the potential to reach a large number of smokers but are currently underutilized. Additional effort is needed to ensure parity in treatment access. Gain-framed messages may be especially useful for engaging smokers, even if other features ultimately drive treatment effects. Implications: This study describes patterns of smartphone usage among smokers and identifies the smartphone application features smokers believe would be most useful during a quit attempt. Findings indicate which subgroups of smokers are most likely to be reached with mobile health interventions and suggests that inclusion of specific features may be helpful for engaging smokers in the smoking cessation process.

Indexed as

AdultFemaleHealth BehaviorHumansMaleMiddle AgedMobile ApplicationsPrevalenceSmartphoneSmokersSmokingSmoking CessationTelemedicine

Identifiers

PMID29065202
PMCPMC6236072

What OpenQuestion holds

Textmetadata
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.