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法国流行戒烟手机应用程序中的行为改变技术:内容分析。

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

机构信息

Laboratoire EA 4430-Clinique Psychanalyse Developpement, Department of Psychology, University of Paris Nanterre, Nanterre, Ile-de-France, France.

C2S - Cognition Santé Société (EA 6291), Department of Psychology, Université de Reims Champagne - Ardenne, Reims, France.

出版信息

JMIR Mhealth Uhealth. 2021 May 13;9(5):e26082. doi: 10.2196/26082.


DOI:10.2196/26082
PMID:33983130
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8160788/
Abstract

BACKGROUND: The 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. OBJECTIVE: This 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. METHODS: A 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. RESULTS: A 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). CONCLUSIONS: The 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.

摘要

背景:移动应用程序市场因国家而异,迄今为止,法国尚未对戒烟应用程序的内容质量进行过审查。

目的:本研究旨在检查法国最受欢迎的戒烟应用程序的总体质量,并确定应用程序在多大程度上遵守已被证明在临床实践中有效的行为和认知技术(BCT)。

方法:在法国的 Google Play 商店和 Apple Store 中对戒烟应用程序进行了系统研究。使用移动应用程序评级量表(MARS)对流行应用程序的一般质量进行评分,并使用行为改变技术分类法对戒烟治疗的依从性比例评估治疗质量。

结果:共有 14 个移动应用程序符合内容分析的所有纳入标准。两种措施的组内信度从“中等”(0.79)到“几乎完美”(0.9)不等。MARS 评分的平均值为 5 分中的 3.5 分(中位数 3.6,IQR 0.6 [3.2-3.8])。研究结果表明,流行应用程序主要关注 MARS 量表的功能维度(4.2/5)。BCT 的平均数量为 22,应用程序之间差异很大(最低 4,最高 38)。至少有一半的应用程序解决了动机问题(8.8/14,63%),并建议使用行为技能来戒烟或保持非吸烟者身份(8.7/14,62%)。然而,只有少数应用程序收集了重要信息(5.9/14,42%),以便就使用批准的药物或实施行为技术提供适当的建议(4.3/14,31%)。MARS 评分与价格呈正相关(r=0.70,P=.007),与使用的 BCT 数量呈正相关(r=0.67,P=.01)。用户评分与任何质量量表均不相关(P=.67)。

结论:法国流行戒烟应用程序的内容质量因应用程序类型和价格而异。最受欢迎的应用程序总体上提供了高质量的内容,但缺乏与戒烟治疗效果相关的基于证据的 BCT 实施。需要进一步研究来评估法国戒烟应用程序内容质量的提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3993/8160788/57ce33c204e6/mhealth_v9i5e26082_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3993/8160788/38af59e57265/mhealth_v9i5e26082_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3993/8160788/57ce33c204e6/mhealth_v9i5e26082_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3993/8160788/38af59e57265/mhealth_v9i5e26082_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3993/8160788/57ce33c204e6/mhealth_v9i5e26082_fig2.jpg

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引用本文的文献

[1]
Mobile applications (apps) for tobacco cessation: Behaviour change potential and heuristic analysis using the Mobile Application Rating Scale (MARS).

F1000Res. 2024-11-22

[2]
Application of Behavior Change Techniques and Rated Quality of Smoking Cessation Apps in China: Content Analysis.

JMIR Mhealth Uhealth. 2025-3-24

[3]
Comprehensive framework for developing mHealth-based behavior change interventions.

Digit Health. 2024-10-23

[4]
Feasibility and Engagement of a Mobile App Preparation Program (Kwit) for Smoking Cessation in an Ecological Context: Quantitative Study.

JMIR Mhealth Uhealth. 2024-10-2

[5]
Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search.

JMIR Mhealth Uhealth. 2024-3-18

[6]
Don't judge a book or health app by its cover: User ratings and downloads are not linked to quality.

PLoS One. 2024

[7]
Use of the Smoking Cessation App Ex-Smokers iCoach and Associations With Smoking-Related Outcomes Over Time in a Large Sample of European Smokers: Retrospective Observational Study.

J Med Internet Res. 2023-8-22

[8]
Smartphone Apps for Smoking Cessation: Systematic Framework for App Review and Analysis.

J Med Internet Res. 2023-7-13

[9]
Evaluation of an innovative mHealth-based integrated modality for smoking cessation in Chinese smokers: protocol for a randomized controlled trial.

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[10]
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本文引用的文献

[1]
Effectiveness of Mobile Apps for Smoking Cessation: A Review.

Tob Prev Cessat. 2017-4-12

[2]
The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study.

JMIR Mhealth Uhealth. 2020-3-27

[3]
Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: Cross-Sectional Study.

JMIR Mhealth Uhealth. 2020-1-24

[4]
Mobile phone text messaging and app-based interventions for smoking cessation.

Cochrane Database Syst Rev. 2019-10-22

[5]
Spanish adaptation and validation of the Mobile Application Rating Scale questionnaire.

Int J Med Inform. 2019-6-5

[6]
Adherence of popular smoking cessation mobile applications to evidence-based guidelines.

BMC Public Health. 2019-6-13

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Consumer Mobile Apps for Potential Drug-Drug Interaction Check: Systematic Review and Content Analysis Using the Mobile App Rating Scale (MARS).

JMIR Mhealth Uhealth. 2018-3-28

[8]
Internet-based interventions for smoking cessation.

Cochrane Database Syst Rev. 2017-9-4

[9]
Free smoking cessation mobile apps available in Australia: a quality review and content analysis.

Aust N Z J Public Health. 2017-7-27

[10]
Smokers' and drinkers' choice of smartphone applications and expectations of engagement: a think aloud and interview study.

BMC Med Inform Decis Mak. 2017-2-28

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