• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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

相似文献

1
Behavior Change Techniques in Popular Mobile Apps for Smoking Cessation in France: Content Analysis.法国流行戒烟手机应用程序中的行为改变技术:内容分析。
JMIR Mhealth Uhealth. 2021 May 13;9(5):e26082. doi: 10.2196/26082.
2
Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search.法国智能手机药物管理应用程序的质量评估:系统检索。
JMIR Mhealth Uhealth. 2024 Mar 18;12:e54866. doi: 10.2196/54866.
3
Quality, Features, and Presence of Behavior Change Techniques in Mobile Apps Designed to Improve Physical Activity in Pregnant Women: Systematic Search and Content Analysis.旨在改善孕妇身体活动的移动应用程序中行为改变技术的质量、特征和存在:系统搜索和内容分析。
JMIR Mhealth Uhealth. 2021 Apr 7;9(4):e23649. doi: 10.2196/23649.
4
Popular Evidence-Based Commercial Mental Health Apps: Analysis of Engagement, Functionality, Aesthetics, and Information Quality.流行的循证商业心理健康应用程序:参与度、功能、美学和信息质量分析。
JMIR Mhealth Uhealth. 2021 Jul 14;9(7):e29689. doi: 10.2196/29689.
5
Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: a review of quality, features and behaviour change techniques.改善儿童和青少年饮食、身体活动及久坐行为的应用程序:质量、功能及行为改变技巧综述
Int J Behav Nutr Phys Act. 2017 Jun 24;14(1):83. doi: 10.1186/s12966-017-0538-3.
6
The Most Popular Commercial Weight Management Apps in the Chinese App Store: Analysis of Quality, Features, and Behavior Change Techniques.中国应用商店中最受欢迎的商业体重管理应用程序:质量、功能和行为改变技术分析。
JMIR Mhealth Uhealth. 2023 Nov 24;11:e50226. doi: 10.2196/50226.
7
Quality and Presence of Behaviour Change Techniques in Mobile Apps for the Mediterranean Diet: A Content Analysis of Android Google Play and Apple App Store Apps.移动应用程序中地中海饮食行为改变技术的质量和存在情况:对安卓 Google Play 和苹果 App Store 应用程序的内容分析。
Nutrients. 2022 Mar 18;14(6):1290. doi: 10.3390/nu14061290.
8
Classification of Smoking Cessation Apps: Quality Review and Content Analysis.戒烟应用程序分类:质量评估与内容分析。
JMIR Mhealth Uhealth. 2022 Feb 17;10(2):e17268. doi: 10.2196/17268.
9
Smartphone Apps Targeting Physical Activity in People With Rheumatoid Arthritis: Systematic Quality Appraisal and Content Analysis.针对类风湿关节炎患者身体活动的智能手机应用程序:系统的质量评估和内容分析。
JMIR Mhealth Uhealth. 2020 Jul 21;8(7):e18495. doi: 10.2196/18495.
10
Content, Behavior Change Techniques, and Quality of Pregnancy Apps in Spain: Systematic Search on App Stores.西班牙孕期应用程序的内容、行为改变技术和质量:应用商店的系统检索。
JMIR Mhealth Uhealth. 2021 Nov 17;9(11):e27995. doi: 10.2196/27995.

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).用于戒烟的移动应用程序:使用移动应用程序评分量表(MARS)的行为改变潜力及启发式分析
F1000Res. 2024 Nov 22;12:1413. doi: 10.12688/f1000research.142038.2. eCollection 2023.
2
Application of Behavior Change Techniques and Rated Quality of Smoking Cessation Apps in China: Content Analysis.行为改变技术在中国戒烟应用程序中的应用及评定质量:内容分析
JMIR Mhealth Uhealth. 2025 Mar 24;13:e56296. doi: 10.2196/56296.
3
Comprehensive framework for developing mHealth-based behavior change interventions.

本文引用的文献

1
Effectiveness of Mobile Apps for Smoking Cessation: A Review.用于戒烟的移动应用程序的有效性:一项综述。
Tob Prev Cessat. 2017 Apr 12;3:12. doi: 10.18332/tpc/70088. eCollection 2017.
2
The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study.移动应用评级量表(MARS-G)的德文版:开发与验证研究。
JMIR Mhealth Uhealth. 2020 Mar 27;8(3):e14479. doi: 10.2196/14479.
3
Factors Related to User Ratings and User Downloads of Mobile Apps for Maternal and Infant Health: Cross-Sectional Study.与母婴健康移动应用程序用户评分和用户下载相关的因素:横断面研究。
基于移动健康技术的行为改变干预措施开发综合框架。
Digit Health. 2024 Oct 23;10:20552076241289979. doi: 10.1177/20552076241289979. eCollection 2024 Jan-Dec.
4
Feasibility and Engagement of a Mobile App Preparation Program (Kwit) for Smoking Cessation in an Ecological Context: Quantitative Study.移动应用戒烟准备项目(Kwit)在生态环境下的可行性与参与度:定量研究
JMIR Mhealth Uhealth. 2024 Oct 2;12:e51025. doi: 10.2196/51025.
5
Quality Assessment of Smartphone Medication Management Apps in France: Systematic Search.法国智能手机药物管理应用程序的质量评估:系统检索。
JMIR Mhealth Uhealth. 2024 Mar 18;12:e54866. doi: 10.2196/54866.
6
Don't judge a book or health app by its cover: User ratings and downloads are not linked to quality.不要以貌取人或健康应用程序:用户评分和下载量与质量无关。
PLoS One. 2024 Mar 4;19(3):e0298977. doi: 10.1371/journal.pone.0298977. eCollection 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.在一个大型欧洲吸烟者样本中,使用戒烟应用程序 Ex-Smokers iCoach 与随时间推移的吸烟相关结果之间的关系:回顾性观察研究。
J Med Internet Res. 2023 Aug 22;25:e45223. doi: 10.2196/45223.
8
Smartphone Apps for Smoking Cessation: Systematic Framework for App Review and Analysis.智能手机戒烟应用程序:应用程序评估和分析的系统框架。
J Med Internet Res. 2023 Jul 13;25:e45183. doi: 10.2196/45183.
9
Evaluation of an innovative mHealth-based integrated modality for smoking cessation in Chinese smokers: protocol for a randomized controlled trial.评估一种基于创新移动医疗的综合戒烟模式在中国吸烟者中的应用:一项随机对照试验的方案。
BMC Public Health. 2023 Mar 25;23(1):561. doi: 10.1186/s12889-023-15448-7.
10
The Quality of Indian Obesity-Related mHealth Apps: PRECEDE-PROCEED Model-Based Content Analysis.印度肥胖相关移动健康应用的质量:基于 PRECEDE-PROCEED 模型的内容分析。
JMIR Mhealth Uhealth. 2022 May 11;10(5):e15719. doi: 10.2196/15719.
JMIR Mhealth Uhealth. 2020 Jan 24;8(1):e15663. doi: 10.2196/15663.
4
Mobile phone text messaging and app-based interventions for smoking cessation.用于戒烟的手机短信和基于应用程序的干预措施。
Cochrane Database Syst Rev. 2019 Oct 22;10(10):CD006611. doi: 10.1002/14651858.CD006611.pub5.
5
Spanish adaptation and validation of the Mobile Application Rating Scale questionnaire.西班牙语版移动应用评定量表问卷的适应性和验证。
Int J Med Inform. 2019 Sep;129:95-99. doi: 10.1016/j.ijmedinf.2019.06.005. Epub 2019 Jun 5.
6
Adherence of popular smoking cessation mobile applications to evidence-based guidelines.流行戒烟移动应用程序对基于证据的指南的依从性。
BMC Public Health. 2019 Jun 13;19(1):743. doi: 10.1186/s12889-019-7084-7.
7
Consumer Mobile Apps for Potential Drug-Drug Interaction Check: Systematic Review and Content Analysis Using the Mobile App Rating Scale (MARS).用于潜在药物相互作用检查的消费者移动应用程序:使用移动应用程序评分量表(MARS)的系统评价和内容分析
JMIR Mhealth Uhealth. 2018 Mar 28;6(3):e74. doi: 10.2196/mhealth.8613.
8
Internet-based interventions for smoking cessation.基于互联网的戒烟干预措施。
Cochrane Database Syst Rev. 2017 Sep 4;9(9):CD007078. doi: 10.1002/14651858.CD007078.pub5.
9
Free smoking cessation mobile apps available in Australia: a quality review and content analysis.澳大利亚提供的免费戒烟手机应用程序:质量评价和内容分析。
Aust N Z J Public Health. 2017 Dec;41(6):625-630. doi: 10.1111/1753-6405.12688. Epub 2017 Jul 27.
10
Smokers' and drinkers' choice of smartphone applications and expectations of engagement: a think aloud and interview study.吸烟者和饮酒者对智能手机应用程序的选择及参与期望:一项出声思考与访谈研究。
BMC Med Inform Decis Mak. 2017 Feb 28;17(1):25. doi: 10.1186/s12911-017-0422-8.