Initial Evaluation of Acceptability, Engagement, and Effectiveness of the MO App to Provide Tailored and Comprehensive Support for Smoking Cessation: Development and Usability Study.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-10-29 DOI:10.2196/55239
Shuo Zhou, Paul Brunetta, Joshva Silvasstar, Greg Feldman, Nicolas Oromi, Sheana Bull
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Abstract

Background: Despite the growing availability of smoking cessation apps, low engagement and cessation rates have remained a significant challenge. To address this issue, we used a user-centered design to iteratively develop a mobile app (MO) to provide comprehensive, tailored, and evidence-based content to support smokers in their quitting journey.

Objective: This study examined the acceptability, use, and preliminary efficacy of the MO app for smoking cessation. Specifically, we sought to understand smokers' preferred features, engagement, and satisfaction with MO; identify concerns in using the app and ways to improve the app; and evaluate its smoking cessation outcomes.

Methods: Through 3 cohorts, we recruited 10, 12, and 85 adult smokers who attempted to quit smoking to pilot-test the MO app between December 2019 and July 2022. Participants were instructed to complete a baseline survey, interact with the app for 6 weeks, and fill in a postsurvey at week 6. Participants in cohort 3 completed an additional postsurvey at week 12. Participants' app use was tracked and analyzed. The primary outcome measures were participants' 7-day point prevalence abstinence at 6 and 12 weeks.

Results: Participants reported high levels of satisfaction with the MO app across all 3 cohorts, rating it between 4.40 and 4.76 on a scale of 5 for acceptability. Users engaged with app activities for an average of 89 to 159 times over 35 days. The most liked features of the app included "quit plan," "tracking," "reminders and notifications," "MOtalks," and "motivational quotes." The 7-day point prevalence abstinence rate of the modified intention to treat population in cohort 3 was 58% at 6 weeks and 52% at 12 weeks. Those who interacted more frequently with app features and engaged with more diverse activities were more likely to maintain abstinence at weeks 6 and 12. For each additional time logged into the app, the odds of staying abstinent at week 12 increased by 5% (odds ratio [OR] 1.05, 95% CI 1.01-1.08). Participants who earned >5000 points during app use also had higher odds of quitting at both 6 weeks (OR 3.12, 95% CI 1.25-7.75) and 12 weeks (OR 4.65, 95% CI 1.83-11.76), compared with those who earned <5000 points.

Conclusions: Our study demonstrated that MO is a feasible mobile phone app with high acceptability and usability and can effectively deliver smoking cessation support to individuals who want to quit. Implications for developing and evaluating mobile phone apps for smoking cessation are discussed.

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初步评估 MO 应用程序的可接受性、参与度和有效性,为戒烟提供量身定制的综合支持:开发和可用性研究。
背景:尽管戒烟应用程序越来越多,但参与率和戒烟率低仍是一个重大挑战。为了解决这个问题,我们采用了以用户为中心的设计方法,反复开发了一款移动应用程序(MO),提供全面、量身定制、以证据为基础的内容,为吸烟者的戒烟之旅提供支持:本研究考察了MO戒烟应用程序的可接受性、使用情况和初步效果。具体来说,我们试图了解吸烟者对MO的偏好、参与度和满意度;确定使用该应用程序时的顾虑和改进该应用程序的方法;并评估其戒烟效果:2019年12月至2022年7月期间,我们通过3个队列分别招募了10名、12名和85名试图戒烟的成年吸烟者对MO应用程序进行试点测试。我们指导参与者完成基线调查,与该应用程序互动 6 周,并在第 6 周时填写后期调查。第 3 组的参与者在第 12 周完成了额外的后期调查。对参与者的应用程序使用情况进行了跟踪和分析。主要结果指标是参与者在第 6 周和第 12 周的 7 天禁欲率:在所有 3 个组别中,参与者对 MO 应用程序的满意度都很高,在 5 分制的可接受性评分中,满意度介于 4.40 和 4.76 之间。用户在 35 天内平均参与了 89 至 159 次应用程序活动。用户最喜欢的应用程序功能包括 "戒烟计划"、"跟踪"、"提醒和通知"、"MOtalks "和 "激励语录"。队列 3 中修正意向治疗人群的 7 天点戒断率在 6 周时为 58%,12 周时为 52%。在第 6 周和第 12 周时,与应用程序功能互动更频繁、参与活动更多样的人更有可能保持戒断。每增加一次登录应用程序的时间,在第 12 周保持禁欲的几率就会增加 5%(几率比 [OR] 1.05,95% CI 1.01-1.08)。与获得结论的参与者相比,在使用应用程序期间获得超过 5000 积分的参与者在 6 周(OR 3.12,95% CI 1.25-7.75)和 12 周(OR 4.65,95% CI 1.83-11.76)时戒烟的几率也更高:我们的研究表明,MO 是一款可行的手机应用,具有较高的可接受性和可用性,能够有效地为想要戒烟的人提供戒烟支持。本研究还讨论了开发和评估戒烟手机应用的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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