Adherence to mHealth quit smoking application 'stopcoach' on top of evidence based smoking cessation counselling: association with participant characteristics and long-term abstinence.

IF 3.4 3区 医学 Q2 SUBSTANCE ABUSE
Anne Zijp, Daan L de Frel, Bas van den Putte, Eline Heemskerk, Niels H Chavannes, Sander Hermsen, Sigrid Troelstra, Eline Meijer
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引用次数: 0

Abstract

Background: Smoking is more common in lower socioeconomic position (SEP) groups, but smoking cessation interventions are less effective for these groups. StopCoach, an mHealth intervention, supports people with lower SEP in quitting smoking. A non-randomized controlled trial found that adding StopCoach to accredited smoking cessation counselling (SCC) led to higher abstinence rates immediately after and one year after SCC, compared to SCC alone. Users also rated its usability, acceptability, and practicality positively. Recent studies show a dose-response relationship, where more mHealth use improves smoking cessation outcomes. Since adherence is a challenge and often underreported, understanding adherence factors is crucial in evaluating eHealth intervention effectiveness.

Aim: This study aims to assess the association between participant characteristics and StopCoach app adherence, as well as the association between app adherence and (short- and long-term) abstinence.

Methods: Main outcomes are app adherence and abstinence. All participants (N = 132) were enrolled in group-based SCC. The association between user characteristics and adherence was estimated with logistic regression models. Chi-square tests were performed to test the association between app adherence and self-reported smoking abstinence. Short-term and long-term abstinence were defined as 4 weeks and 1 year after the quit date, respectively. App adherence was defined as the number of steps completed by a participant in the app.

Results: Older users and those who had attended all SCC meetings were significantly more likely to be adherent to the app. More app-adherent participants were significantly more likely to be abstinent 1 year after the quit date. This association was non-significant at 4 weeks.

Conclusion: The results indicate that mHealth interventions such as StopCoach may increase the effectiveness of traditional SCC programs. Users could benefit from further integration of StopCoach in SCC programs, as this could motivate them to be more adherent to StopCoach, resulting in them quitting successfully.

在基于证据的戒烟咨询之上,坚持使用移动健康戒烟应用程序“stopcoach”:与参与者特征和长期戒烟有关。
背景:吸烟在社会经济地位较低(SEP)群体中更为常见,但戒烟干预措施对这些群体的效果较差。StopCoach是一种移动健康干预,支持SEP较低的人戒烟。一项非随机对照试验发现,在认可的戒烟咨询(SCC)中加入StopCoach,与单独使用SCC相比,在SCC后立即和一年后的戒断率更高。用户也积极评价了它的可用性、可接受性和实用性。最近的研究显示了一种剂量-反应关系,即更多地使用移动健康可以改善戒烟结果。由于依从性是一项挑战,而且经常被低估,因此了解依从性因素对于评估电子卫生干预的有效性至关重要。目的:本研究旨在评估参与者特征与StopCoach应用程序依从性之间的关系,以及应用程序依从性与(短期和长期)戒断之间的关系。方法:主要观察应用程序的依从性和戒断性。所有参与者(N = 132)入组进行分组SCC。使用逻辑回归模型估计用户特征与依从性之间的关系。卡方检验检验应用程序依从性与自我报告的戒烟之间的关系。短期和长期禁欲分别定义为戒烟后4周和1年。应用程序依从性被定义为参与者在应用程序中完成的步数。结果:年龄较大的用户和参加过所有SCC会议的用户更有可能坚持使用该应用程序。更多的应用程序依从性参与者在戒烟日期一年后更有可能戒酒。在第4周时,这种关联不显著。结论:研究结果表明,StopCoach等移动健康干预措施可能会提高传统SCC项目的有效性。用户可以从SCC程序中进一步集成StopCoach中受益,因为这可以激励他们更加坚持StopCoach,从而成功戒烟。
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
CiteScore
5.20
自引率
0.00%
发文量
73
审稿时长
19 weeks
期刊介绍: Substance Abuse Treatment, Prevention, and Policy is an open access, peer-reviewed journal that encompasses research concerning substance abuse, with a focus on policy issues. The journal aims to provide an environment for the exchange of ideas, new research, consensus papers, and critical reviews, to bridge the established fields that share a mutual goal of reducing the harms from substance use. These fields include: legislation pertaining to substance use; correctional supervision of people with substance use disorder; medical treatment and screening; mental health services; research; and evaluation of substance use disorder programs.
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