生态背景下戒烟手机应用准备程序(Kwit)的可行性和参与度:定量研究。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-10-02 DOI:10.2196/51025
Luz Adriana Bustamante Perez, Lucia Romo, Oulmann Zerhouni
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引用次数: 0

摘要

背景:移动医疗应用程序可以帮助人们获得有效的治疗和治疗信息服务。然而,移动应用程序在戒烟方面的实际效果及其在日常环境中的潜在影响仍不清楚:在生态学背景下,本研究旨在估算基于手机应用的戒烟准备程序的参与率及其对用户戒烟意愿、能力和准备程度的潜在影响:共有2331名 "有机用户"(即在没有任何提示的情况下自行发现并安装手机应用的用户)选择了手机应用(Kwit)的两个程序版本中的一个:基本版本或高级版本。两个版本在设计上完全相同,但高级版中多了 4 项循证内容和策略。结果根据应用程序中登记的自动数据(参与率、戒烟动机、动机类型、动机水平和满意度)进行分析。采用 Mann-Whitney 检验和 χ2 检验对两组结果进行比较:不出所料,在生态环境中,不同时刻的辍学率都很高。两个版本之间存在明显差异(n=2331;χ21=5.4;P=.02),高级版本的参与率更高(高级=4.7% vs 基本=2%)。同样,两组用户在戒烟原因(n=2331;χ24=19;P≤.001;V=0.08)、动机类型(n=2331;χ27=14.7;P=.04)和动机水平方面也存在差异。与基础版用户相比,高级版用户更常将 "幸福感"(23.3% vs 17.9%)和 "计划怀孕"(7.4% vs 4.4%)作为戒烟的主要原因。此外,他们还表示在戒烟过程中更有可能受到内在动机的驱使(高级版=28% vs 基本版=20.4%),而且戒烟意愿明显更高(z score=156,055; P≤.001;Cohen d=0.15)、能够(z score=172,905;P=.04;Cohen d=0.09)和准备(z score=166,390;P=.005;Cohen d=0.12)戒烟。在完成每个版本戒烟计划的参与者中(高级戒烟计划:9/189,4.8%;基本戒烟计划:47/2142,2.19%),两组参与者的戒烟动机水平都有显著提高,尽管各组的提高领域不同(高级戒烟计划组的戒烟意愿水平和基本戒烟计划组的戒烟能力):这些结果表明,即使在参与率很低的生态环境中,戒烟准备计划也能通过提高使用者的改变意愿、自信心和戒烟准备来解决矛盾心理,尤其是那些认为自己戒烟能力较弱的人。要更好地了解定期使用移动健康应用程序的决定因素,还需要进一步的开发和评估。
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Feasibility and Engagement of a Mobile App Preparation Program (Kwit) for Smoking Cessation in an Ecological Context: Quantitative Study.

Background: Mobile health apps can facilitate access to effective treatment and therapeutic information services. However, the real-world effectiveness of mobile apps for smoking cessation and their potential impact in everyday settings remain unclear.

Objective: In an ecological context, this study aimed to estimate the engagement rate of a mobile app-based smoking cessation preparation program and its potential impact on users' willingness, ability, and readiness to quit smoking.

Methods: A total of 2331 "organic users" (ie, users who discover and install a mobile app on their own, without any prompts) chose 1 of 2 program versions of the mobile app (Kwit): the basic version or the premium version. Both versions were identical in design, with 4 more evidence-based content items and strategies in the premium version. Outcomes were analyzed based on automated data registered in the app (engagement rate, motivation to quit, motivation type, motivation levels, and satisfaction level). Mann-Whitney and χ2 tests were used to compare the results of both groups.

Results: As expected, in the ecological context, a high dropout rate was observed at different moments. A significant difference was observed between the 2 versions (n=2331; χ21=5.4; P=.02), with a proportionally higher engagement rate in the premium version (premium=4.7% vs basic=2%). Likewise, differences were also observed between the 2 groups in terms of reasons to quit (n=2331; χ24=19; P≤.001; V=0.08), motivation type (n=2331; χ27=14.7; P=.04), and motivation level. Users of the app's premium version more frequently reported "well-being" (23.3% vs 17.9%) and "planning a pregnancy" (7.4% vs 4.4%) as their primary reasons for quitting smoking compared to those with the basic version. Moreover, they reported being more likely to be driven in the smoking cessation process by intrinsic motivation (premium=28% vs basic=20.4%), as well as feeling significantly more willing (z score=156,055; P≤.001; Cohen d=0.15), able (z score=172,905; P=.04; Cohen d=0.09), and ready (z score=166,390; P=.005; Cohen d=0.12) to stop smoking than users who had the basic version before completion of the preparation program. Among participants who finished each version of the program (premium: 9/189, 4.8%; basic: 47/2142, 2.19%), significant improvements in motivation levels were observed in both groups, although in different areas for each group (willingness levels for the premium group and ability for the basic group).

Conclusions: These results suggest that even in ecological contexts where engagement rates are meager, the Kwit preparation program can address ambivalence by increasing willingness to change, self-confidence, and readiness to quit among its users, especially those who feel less able to do so. Further development and evaluations are needed to better understand determinants for regular mobile health apps.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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