Evidence map›Paper›PMID 26045249›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2016

How Smart are Smartphone Apps for Smoking Cessation? A Content Analysis.

Bettina B Hoeppner, Susanne S Hoeppner, Lourah Seaboyer, Melissa R Schick, Gwyneth W Y Wu, Brandon G Bergman, John F Kelly

3 registry-linked trialsAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 96 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 5 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.

NCT04019119 nacompletednot on this mapstarted 2023, after this paper: background citation

Effectiveness of a Digital Intervention Based on Modification of Lifestyles in Secondary Prevention: iGAME Controlled Randomized Clinical Trial

TypeinterventionalSponsorUniversity of MalagaRan2023 to 2025Enrolled48ConditionsLow Back Pain, Oncology, Depression, Sedentary LifestyleArmsDigital intervention
NCT05318651 nacompletednot on this mapstarted 2022, after this paper: background citation

Determinants of Use of Mobile Apps for Smoking Cessation

TypeinterventionalSponsorParis Nanterre UniversityRan2022 to 2022Enrolled255ConditionsSmoking Cessation, Technology Acceptance Model, CBT, EngagementArmsKwit SAS - smoking cessation app
NCT07067151 enrolling by invitationnot on this mapstarted 2026, after this paper: background citation

Use of Noninvasive Wearables Biomonitoring to Detect Pre-Smoking, Smoking, And Post-Smoking Stages: An Observational Laboratory Study

TypeobservationalSponsorNational Institute on Minority Health and Health Disparities (NIMHD)Ran2026 to 2028Enrolled30ConditionsSmoking
3 · Its place in the literature

Who cites it

96 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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36 more citing papers are in PubMed but not listed here.

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.

Bettina B HoeppnerCenter for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA; bhoeppner@mgh.harvard.edu.
Susanne S HoeppnerCenter for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA;
Lourah SeaboyerCenter for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA; Department of Psychology, Suffolk University, Boston, MA;
Melissa R SchickCenter for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA;
Gwyneth W Y WuCenter for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA; School of Education, Johns Hopkins University, Baltimore, MD.
Brandon G BergmanCenter for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA;
John F KellyCenter for Addiction Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA;

Funding

Dynamic Processes of Smoking CessationK01DA027097 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI HOEPPNER, BETTINA B. · 2010 to 2014
$834k
NIDA NIH HHS K01 DA 027097NIDA NIH HHS K01 DA027097
6 · The paper itself

Abstract

introductionSmartphone technology is ideally suited to provide tailored smoking cessation support, yet it is unclear to what extent currently existing smartphone "apps" use tailoring, and if tailoring is related to app popularity and user-rated quality.

methodsWe conducted a content analysis of Android smoking cessation apps (n = 225), downloaded between October 1, 2013 to May 31, 2014. We recorded app popularity (>10,000 downloads) and user-rated quality (number of stars) from Google Play, and coded the existence of tailoring features in the apps within the context of using the 5As ("ask," "advise," "assess," "assist," and "arrange follow-up"), as recommended by national clinical practice guidelines.

resultsApps largely provided simplistic tools (eg, calculators, trackers), and used tailoring sparingly: on average, apps addressed 2.1 ± 0.9 of the 5As and used tailoring for 0.7 ± 0.9 of the 5As. Tailoring was positively related to app popularity and user-rated quality: apps that used two-way interactions (odds ratio [OR] = 5.56 [2.45-12.62]), proactive alerts (OR = 3.80 [1.54-9.38]), responsiveness to quit status (OR = 5.28 [2.18-12.79]), addressed more of the 5As (OR = 1.53 [1.10-2.14]), used tailoring for more As (OR = 1.67 [1.21-2.30]), and/or used more ways of tailoring 5As content (OR = 1.35 [1.13-1.62]) were more likely to be frequently downloaded. Higher star ratings were associated with a higher number of 5As addressed (b = 0.16 [0.03-0.30]), a higher number of 5As with any level of tailoring (b = 0.14 [0.01-0.27]), and a higher number of ways of tailoring 5As content (b = 0.08 [0.002-0.15]).

conclusionsPublically available smartphone smoking cessation apps are not particularly "smart": they commonly fall short of providing tailored feedback, despite users' preference for these features.

Indexed as

Mobile ApplicationsSmartphoneSmoking PreventionHumansSmoking Cessation

Identifiers

PMID26045249
PMCPMC5942604

What OpenQuestion holds

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Read underepoch 390

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.