Evidence map›Paper›PMID 30476293›Full record

ArticleTranslational behavioral medicine2020

A content analysis of smartphone apps for adolescent smoking cessation.

Cendrine D Robinson, Elizabeth L Seaman, Emily Grenen, LaTrice Montgomery, R Andrew Yockey, Kisha Coa, Yvonne Prutzman, Erik Augustson

Open access · hybridAbstract read
In one paragraph

Article in Translational behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Cendrine D RobinsonTobacco Control Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Elizabeth L SeamanTobacco Control Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Emily GrenenICF International, Rockville, MD, USA.
LaTrice MontgomeryAddiction Sciences Division, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
R Andrew YockeyAddiction Sciences Division, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Kisha CoaICF International, Rockville, MD, USA.
Yvonne PrutzmanTobacco Control Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
Erik AugustsonTobacco Control Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA.
National Cancer Institute · USICF International (United States) · USUniversity of Cincinnati Medical Center · US

Funding

Twitter-Based Intervention for Young Adult African American Blunt SmokersK23DA042130 · NIDA · UNIVERSITY OF CINCINNATI · PI MONTGOMERY, LATRICE · 2017 to 2021
$726k
Intramural NIH HHS Z99 CA999999NIDA NIH HHS K23 DA042130
6 · The paper itself

Abstract

Adolescent cigarette smokers have an increased risk of sustained smoking into adulthood. Smartphone applications (apps) for smoking cessation are a promising treatment resource. However, research on apps for adolescent smoking cessation is limited. This study compared smoking cessation mobile apps targeting an adolescent audience with popular cessation apps for a general audience. Adolescent and general-audience apps were identified by searching the Google Play and Apple App Stores (November 2016). Two coders assessed each app for adherence to clinical practice guidelines for tobacco and adolescent-specific content (2016-2017) and developed a summary score that summed all adherence and adolescent content criteria. Eight adolescent apps were identified and compared with the top 38 general apps (as ranked by Apple and Google). Both general and adolescent apps commonly had adherence content related to developing a quit plan (general: 73.68 per cent; adolescent: 87.50 per cent) and enhancing motivation by describing the rewards of not smoking (general: 76.32 per cent; adolescent: 62.50 per cent). Adolescent-specific content such as peer influence on smoking was common in adolescent apps but not in general apps (general: 5.26 per cent; adolescent: 62.50 per cent). Adolescent apps had a higher general adherence content summary score [t (44) = 2.55, p = .01] and a higher adolescent content summary score [t (7.81) = 2.47, p = .04] than the general apps. On average, adolescent cessation apps included more adherence content and adolescent-specific content than general apps. Future research is needed to determine the extent to which adolescents engage with the adherence content available in these apps.

Indexed as

Mobile ApplicationsSmoking CessationAdolescentAdultHumansSmartphoneSmokersSmokingAdolescent smoking cessationmHealthMobile healthSmoking cessation

Identifiers

PMID30476293
PMCPMC7295698
OpenAlexW2901418569

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.