School of Nursing, Capital Medical University, Beijing, China.
Johns Hopkins University School of Nursing, Baltimore, MD, United States.
J Med Internet Res. 2023 Apr 20;25:e43242. doi: 10.2196/43242.
Smoking is a leading cause of premature death globally. Quitting smoking reduces the risk of all-cause mortality by 11%-34%. Smartphone app-based smoking cessation (SASC) interventions have been developed and are widely used. However, the evidence for the effectiveness of smartphone-based interventions for smoking cessation is currently equivocal.
The purpose of this study was to synthesize the evidence for the effectiveness of smartphone app-based interventions for smoking cessation.
We conducted a systematic review and meta-analysis of the effectiveness of smartphone interventions for smoking cessation based on the Cochrane methodology. An electronic literature search was performed using the Cochrane Library, Web of Science, PubMed, Embase, PsycINFO, China National Knowledge Infrastructure, and Wanfang databases to identify published papers in English or Chinese (there was no time limit regarding the publication date). The outcome was the smoking abstinence rate, which was either a 7-day point prevalence abstinence rate or a continuous abstinence rate.
A total of 9 randomized controlled trials involving 12,967 adults were selected for the final analysis. The selected studies from 6 countries (the United States, Spain, France, Switzerland, Canada, and Japan) were included in the meta-analysis between 2018 and 2022. Pooled effect sizes (across all follow-up time points) revealed no difference between the smartphone app group and the comparators (standard care, SMS text messaging intervention, web-based intervention, smoking cessation counseling, or apps as placebos without real function; odds ratio [OR] 1.25, 95% CI 0.99-1.56, P=.06, I=73.6%). Based on the subanalyses, 6 trials comparing smartphone app interventions to comparator interventions reported no significant differences in effectiveness (OR 1.03, 95% CI 0.85-1.26, P=.74, I=57.1%). However, the 3 trials that evaluated the combination of smartphone interventions combined with pharmacotherapy compared to pharmacotherapy alone found higher smoking abstinence rates in the combined intervention (OR 1.79, 95% CI 1.38-2.33, P=.74, I=7.4%). All SASC interventions with higher levels of adherence were significantly more effective (OR 1.48, 95% CI 1.20-1.84, P<.001, I=24.5%).
This systematic review and meta-analysis did not support the effectiveness of delivering smartphone-based interventions alone to achieve higher smoking abstinence rates. However, the efficacy of smartphone-based interventions increased when combined with pharmacotherapy-based smoking cessation approaches.
PROSPERO CRD42021267615; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=267615.
吸烟是全球范围内导致过早死亡的主要原因。戒烟可使全因死亡率降低 11%-34%。基于智能手机的戒烟应用程序(SASC)干预措施已经开发并广泛应用。然而,目前基于智能手机的干预措施戒烟的有效性证据尚不确定。
本研究旨在综合评估基于智能手机应用程序的戒烟干预措施的有效性。
我们按照 Cochrane 方法学对基于智能手机干预措施戒烟的有效性进行了系统评价和荟萃分析。使用 Cochrane 图书馆、Web of Science、PubMed、Embase、PsycINFO、中国国家知识基础设施和万方数据库进行电子文献检索,以检索发表的英文或中文文献(没有关于出版日期的时间限制)。结局为吸烟戒断率,即 7 天点流行率戒断率或持续戒断率。
最终纳入了 9 项随机对照试验,涉及 12967 名成年人。这些研究来自 6 个国家(美国、西班牙、法国、瑞士、加拿大和日本),并于 2018 年至 2022 年进行了荟萃分析。汇总效应大小(在所有随访时间点)显示,智能手机应用程序组与对照组(标准护理、短信干预、基于网络的干预、戒烟咨询或无实际功能的空白应用程序)之间无差异(比值比[OR]1.25,95%CI 0.99-1.56,P=.06,I=73.6%)。基于亚组分析,比较智能手机应用程序干预与对照组干预的 6 项试验报告有效性无显著差异(OR 1.03,95%CI 0.85-1.26,P=.74,I=57.1%)。然而,评估智能手机干预与单独药物治疗相结合与单独药物治疗相比的 3 项试验发现,联合干预的吸烟戒断率更高(OR 1.79,95%CI 1.38-2.33,P=.74,I=7.4%)。所有具有较高依从性的 SASC 干预措施均显著更有效(OR 1.48,95%CI 1.20-1.84,P<.001,I=24.5%)。
本系统评价和荟萃分析不支持单独提供基于智能手机的干预措施以实现更高的戒烟率。然而,当与基于药物治疗的戒烟方法结合使用时,基于智能手机的干预措施的效果会增强。
PROSPERO CRD42021267615;https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=267615.