Evidence map›Paper›PMID 33983130›Full record

ArticleJMIR mHealth and uHealth2021

Behavior Change Techniques in Popular Mobile Apps for Smoking Cessation in France: Content Analysis.

Luz Adriana Bustamante, Cédric Gill Ménard, Sabrina Julien, Lucia Romo

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Trial
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  6. Observational
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  12. Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis.International journal of environmental research and public health · 2021
    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

4 authors.

Luz Adriana BustamanteLaboratoire EA 4430-Clinique Psychanalyse Developpement, Department of Psychology, University of Paris Nanterre, Nanterre, Ile-de-France, France.ORCID 0000-0001-5563-6688
Cédric Gill MénardLaboratoire EA 4430-Clinique Psychanalyse Developpement, Department of Psychology, University of Paris Nanterre, Nanterre, Ile-de-France, France.ORCID 0000-0002-8039-9642
Sabrina JulienC2S - Cognition Santé Société (EA 6291), Department of Psychology, Université de Reims Champagne - Ardenne, Reims, France.ORCID 0000-0001-6343-7988
Lucia RomoLaboratoire EA 4430-Clinique Psychanalyse Developpement, Department of Psychology, University of Paris Nanterre, Nanterre, Ile-de-France, France.ORCID 0000-0002-9432-0528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mobile app market differs from country to country, and to date, no previous review of the content quality of smoking cessation apps has been conducted in France.

objectiveThis study aimed to examine the general quality of the most popular smoking cessation apps in France and also determine the degree to which apps adhere to established behavioral and cognitive techniques (BCTs) proven effective in clinical practice.

methodsA systematic research of smoking cessation apps was conducted in both the Google Play Store and Apple Store in the French market. The general quality of popular apps was rated with the Mobile App Rating Scale (MARS), and the therapeutic quality was assessed with the ratio of adherence of the behavior change technique taxonomy for smoking cessation treatment.

resultsA total of 14 mobile apps met all the inclusion criteria of the content analysis. The interrater reliability varied from "substantial" (0.79) to "almost perfect" (0.9) for the two measures. The mean MARS score was 3.5 out of 5 (median 3.6, IQR 0.6 [3.2-3.8]). The findings suggest that popular apps focus primarily on the functionality dimension of the MARS scale (4.2/5). The mean number of BCTs was 22, with a large difference between apps (minimum 4, maximum 38). At least half of the apps addressed motivation (8.8/14, 63%) and advised on using behavioral skills in order to quit smoking or stay a nonsmoker (8.7/14, 62%). However, only a handful of apps gathered important information (5.9/14, 42%) in order to deliver proper advice regarding the use of approved medication or the implementation of behavioral techniques (4.3/14, 31%). The mean MARS score was positively correlated with the price (r=0.70, P=.007) and the number of BCTs used (r=0.67, P=.01). User rating was not correlated with any quality scale (P=.67).

conclusionsThe content quality of popular smoking cessation apps in France varied by app type and price. Most popular apps propose in general good quality content but lack implementation of evidence-based BCTs associated with effectiveness on smoking cessation treatment. Further research is needed to evaluate the improvement in the content quality of smoking cessation apps in France.

Indexed as

Mobile ApplicationsSmoking CessationBehavior TherapyFranceHumansReproducibility of Resultsapp qualitybehavior change technique taxonomymHealthsmartphone appsmoking cessationuser engagement

Identifiers

PMID33983130
PMCPMC8160788

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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.