Smoking in pregnancy remains a global public health issue due to foetal health risks and potential maternal complications. The aims of this systematic review and meta-analysis were to explore: (1) whether digital interventions for pregnancy smoking cessation are effective, (2) the impact of intervention platform on smoking cessation, (3) the associations between specific Behaviour Change Techniques (BCTs) delivered within interventions and smoking cessation and (4) the association between the total number of BCTs delivered and smoking cessation. Systematic searches of 9 databases resulted in the inclusion of 12 published articles (n = 2970). The primary meta-analysis produced a sample-weighted odds ratio (OR) of 1.44 (95% CI 1.04–2.00, p = .03) in favour of digital interventions compared with comparison groups. Computer-based (OR = 3.06, 95% CI 1.28–7.33) and text-message interventions (OR = 1.59, 95% CI 1.07–2.38) were the most effective digital platform. Moderator analyses revealed seven BCTs associated with smoking cessation: information about antecedents; action planning; problem solving; goal setting (behaviour); review behaviour goals; social support (unspecified); and pros and cons. A meta-regression suggested that interventions using larger numbers of BCTs produced the greatest effects. This paper highlights the potential for digital interventions to improve rates of smoking cessation in pregnancy.

中文翻译：

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妊娠期戒烟的数字干预是否有效？系统评价和荟萃分析

由于胎儿健康风险和潜在的母亲并发症，怀孕期间吸烟仍然是全球公共卫生问题。该系统评价和荟萃分析的目的是探索：（1）戒烟的数字干预是否有效；（2）干预平台对戒烟的影响；（3）特定行为改变技术之间的关联（ BCT）在干预措施和戒烟范围内进行；（4）BCT总数与戒烟之间的关联。系统搜索9个数据库，结果包括12篇已发表的文章（n  = 2970）。初步的荟萃分析得出的样本加权比值比（OR）为1.44（95％CI 1.04–2.00，p = .03），与比较组相比，他们赞成采用数字干预。基于计算机的（OR = 3.06，95％CI 1.28–7.33）和文本干预（OR = 1.59，95％CI 1.07–2.38）是最有效的数字平台。主持人的分析揭示了与戒烟有关的七个BCT：有关先例的信息；行动计划；解决问题；目标设定（行为）；审查行为目标；社会支持（未指定）；和利弊。荟萃回归表明，使用大量BCT进行干预的效果最大。本文着重介绍了通过数字干预来提高孕妇戒烟率的潜力。