Whittaker Robyn, McRobbie Hayden, Bullen Chris, Rodgers Anthony, Gu Yulong, Dobson Rosie
National Institute for Health Innovation, University of Auckland, Tamaki Campus, Private Bag 92019, Auckland, New Zealand, 1142.
Cochrane Database Syst Rev. 2019 Oct 22;10(10):CD006611. doi: 10.1002/14651858.CD006611.pub5.
Mobile phone-based smoking cessation support (mCessation) offers the opportunity to provide behavioural support to those who cannot or do not want face-to-face support. In addition, mCessation can be automated and therefore provided affordably even in resource-poor settings. This is an update of a Cochrane Review first published in 2006, and previously updated in 2009 and 2012.
To determine whether mobile phone-based smoking cessation interventions increase smoking cessation rates in people who smoke.
For this update, we searched the Cochrane Tobacco Addiction Group's Specialised Register, along with clinicaltrials.gov and the ICTRP. The date of the most recent searches was 29 October 2018.
Participants were smokers of any age. Eligible interventions were those testing any type of predominantly mobile phone-based programme (such as text messages (or smartphone app) for smoking cessation. We included randomised controlled trials with smoking cessation outcomes reported at at least six-month follow-up.
We used standard methodological procedures described in the Cochrane Handbook for Systematic Reviews of Interventions. We performed both study eligibility checks and data extraction in duplicate. We performed meta-analyses of the most stringent measures of abstinence at six months' follow-up or longer, using a Mantel-Haenszel random-effects method, pooling studies with similar interventions and similar comparators to calculate risk ratios (RR) and their corresponding 95% confidence intervals (CI). We conducted analyses including all randomised (with dropouts counted as still smoking) and complete cases only.
This review includes 26 studies (33,849 participants). Overall, we judged 13 studies to be at low risk of bias, three at high risk, and the remainder at unclear risk. Settings and recruitment procedures varied across studies, but most studies were conducted in high-income countries. There was moderate-certainty evidence, limited by inconsistency, that automated text messaging interventions were more effective than minimal smoking cessation support (RR 1.54, 95% CI 1.19 to 2.00; I = 71%; 13 studies, 14,133 participants). There was also moderate-certainty evidence, limited by imprecision, that text messaging added to other smoking cessation interventions was more effective than the other smoking cessation interventions alone (RR 1.59, 95% CI 1.09 to 2.33; I = 0%, 4 studies, 997 participants). Two studies comparing text messaging with other smoking cessation interventions, and three studies comparing high- and low-intensity messaging, did not show significant differences between groups (RR 0.92 95% CI 0.61 to 1.40; I = 27%; 2 studies, 2238 participants; and RR 1.00, 95% CI 0.95 to 1.06; I = 0%, 3 studies, 12,985 participants, respectively) but confidence intervals were wide in the former comparison. Five studies compared a smoking cessation smartphone app with lower-intensity smoking cessation support (either a lower-intensity app or non-app minimal support). We pooled the evidence and deemed it to be of very low certainty due to inconsistency and serious imprecision. It provided no evidence that smartphone apps improved the likelihood of smoking cessation (RR 1.00, 95% CI 0.66 to 1.52; I = 59%; 5 studies, 3079 participants). Other smartphone apps tested differed from the apps included in the analysis, as two used contingency management and one combined text messaging with an app, and so we did not pool them. Using complete case data as opposed to using data from all participants randomised did not substantially alter the findings.
AUTHORS' CONCLUSIONS: There is moderate-certainty evidence that automated text message-based smoking cessation interventions result in greater quit rates than minimal smoking cessation support. There is moderate-certainty evidence of the benefit of text messaging interventions in addition to other smoking cessation support in comparison with that smoking cessation support alone. The evidence comparing smartphone apps with less intensive support was of very low certainty, and more randomised controlled trials are needed to test these interventions.
基于手机的戒烟支持(移动戒烟)为那些无法或不愿接受面对面支持的人提供了获得行为支持的机会。此外,移动戒烟可以自动化,因此即使在资源匮乏的环境中也能以低成本提供。这是Cochrane系统评价首次发表于2006年,此前于2009年和2012年进行过更新。
确定基于手机的戒烟干预措施是否能提高吸烟者的戒烟率。
本次更新,我们检索了Cochrane烟草成瘾小组的专业注册库,以及clinicaltrials.gov和国际临床试验注册平台(ICTRP)。最近一次检索日期为2018年10月29日。
参与者为任何年龄的吸烟者。符合条件的干预措施是测试任何类型的主要基于手机的项目(如用于戒烟的短信(或智能手机应用程序))。我们纳入了至少在六个月随访时报告了戒烟结果的随机对照试验。
我们采用《Cochrane干预措施系统评价手册》中描述的标准方法程序。我们对研究资格检查和数据提取进行了重复操作。我们使用Mantel-Haenszel随机效应方法对六个月随访或更长时间时最严格的戒断措施进行荟萃分析,将具有相似干预措施和相似对照的研究合并,以计算风险比(RR)及其相应的95%置信区间(CI)。我们进行了包括所有随机分组(将失访者计为仍在吸烟)和仅完整病例的分析。
本综述纳入了26项研究(33849名参与者)。总体而言,我们判断13项研究存在低偏倚风险,3项研究存在高偏倚风险,其余研究偏倚风险不明。各研究的研究背景和招募程序各不相同,但大多数研究在高收入国家进行。存在中等确定性证据,但受不一致性限制,自动短信干预比最低限度的戒烟支持更有效(RR 1.54,95%CI 1.19至2.00;I² = 71%;13项研究,14133名参与者)。也存在中等确定性证据,但受不精确性限制,添加到其他戒烟干预措施中的短信比单独的其他戒烟干预措施更有效(RR 1.59,95%CI 1.09至2.33;I² = 0%;4项研究,997名参与者)。两项比较短信与其他戒烟干预措施的研究,以及三项比较高强度和低强度短信的研究,未显示组间有显著差异(RR 0.92,95%CI 0.61至1.40;I² = 27%;2项研究,2238名参与者;以及RR 1.00,95%CI 0.95至1.06;I² = 0%;3项研究,12985名参与者),但在前一项比较中置信区间较宽。五项研究将戒烟智能手机应用程序与低强度戒烟支持(较低强度的应用程序或非应用程序的最低限度支持)进行了比较。我们汇总了证据,由于不一致性和严重不精确性,认为其确定性非常低。它没有提供证据表明智能手机应用程序能提高戒烟的可能性(RR 1.00,95%CI 0.66至1.52;I² = 59%;5项研究,3079名参与者)。其他测试的智能手机应用程序与分析中纳入的应用程序不同,因为两项使用了应急管理,一项将短信与应用程序相结合,因此我们未对它们进行汇总。使用完整病例数据而非所有随机分组参与者的数据,并未实质性改变研究结果。
有中等确定性证据表明,基于自动短信的戒烟干预措施比最低限度的戒烟支持能带来更高的戒烟率。有中等确定性证据表明,与单独的戒烟支持相比,短信干预措施在其他戒烟支持之外具有益处。比较智能手机应用程序与低强度支持的证据确定性非常低,需要更多的随机对照试验来测试这些干预措施。