Smoking Cessation Apps and Technology Acceptance Factors: Focusing on the Sense2Quit Application.

Addiction and Health Pub Date : 2026-01-01 Epub Date: 2026-01-14 DOI:10.34172/ahj.1701
Samaneh Ghanbarzadeh, Elham Maserat
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引用次数: 0

Abstract

Background: Cigarette smoking remains a leading cause of preventable deaths worldwide, with significant health and economic consequences. Mobile health (mHealth) applications such as Sense2Quit, which integrate advanced technologies (e.g., smart watch-based detection of smoking gestures) and leverage technology acceptance theories (TAM, TPB, UTAUT), have emerged as innovative tools for smoking cessation.

Methods: This study employed a Meta-synthesis of 38 studies retrieved from reputable databases to evaluate factors influencing app acceptance at individual organizational and supra-organizational levels. The research adopted an interpretive-critical meta-synthesis approach, following the methodological framework established by Sandelowski and Barroso. Thematic coding was simultaneously applied to extract emerging concepts from qualitative data. The data extraction and coding were performed manually through dual researcher consensus to ensure rigorous interpretation of qualitative content, particularly given the limited number of eligible studies.

Findings: Findings revealed that Sense2Quit excels in high-accuracy detection of smoking gestures, personalized interventions (e.g., progress tracking, Cognitive-behavioral exercises, and social support), and user-centered design, particularly among high-risk populations such as people living with HIV (PWH). Key acceptance factors included perceived usefulness, ease of use, intrinsic motivation (aligned with SDT), and technological infrastructure compatibility.

Conclusion: However, challenges such as limited digital literacy among older adults and chronic patients and socio-economic barriers in developing countries were identified. Proposed solutions include localized user interfaces, collaboration with local institutions, and policy reforms. Ultimately, Sense2Quit exemplifies how blending technical innovation with community-specific interventions can enhance smoking cessation efforts, while underscoring the need to address contextual challenges and strengthen digital infrastructure for broader public health impact.

戒烟应用与技术接受因素:以Sense2Quit应用为重点。
背景:吸烟仍然是世界范围内可预防死亡的主要原因,具有严重的健康和经济后果。Sense2Quit等移动健康(mHealth)应用程序集成了先进技术(例如,基于智能手表的吸烟手势检测)并利用技术接受理论(TAM, TPB, UTAUT),已成为戒烟的创新工具。方法:本研究采用了从知名数据库中检索的38项研究的综合分析,以评估影响个人组织和超组织层面应用程序接受度的因素。本研究遵循Sandelowski和Barroso建立的方法论框架,采用了解释-批判的综合方法。同时应用主题编码从定性数据中提取新概念。数据提取和编码是通过双重研究者共识手动执行的,以确保对定性内容的严格解释,特别是考虑到合格研究的数量有限。研究结果显示,Sense2Quit在吸烟手势的高精度检测、个性化干预(如进度跟踪、认知行为练习和社会支持)和以用户为中心的设计方面表现出色,特别是在艾滋病毒感染者(PWH)等高危人群中。关键的接受因素包括感知有用性、易用性、内在动机(与SDT一致)和技术基础设施兼容性。结论:然而,我们发现了一些挑战,如老年人和慢性病患者的数字素养有限,以及发展中国家的社会经济障碍。建议的解决方案包括本地化用户界面、与当地机构合作以及政策改革。最终,Sense2Quit举例说明了如何将技术创新与社区特定干预措施相结合,以加强戒烟工作,同时强调需要解决背景挑战并加强数字基础设施,以实现更广泛的公共卫生影响。
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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