Spohr Stephanie A, Nandy Rajesh, Gandhiraj Deepthi, Vemulapalli Abhilash, Anne Sruthi, Walters Scott T
University of North Texas Health Science Center, School of Public Health, Department of Biostatistics, Fort Worth, TX; University of North Texas Health Science Center, School of Public Health, Department of Behavioral and Community Health, Fort Worth, TX.
University of North Texas Health Science Center, School of Public Health, Department of Biostatistics, Fort Worth, TX; University of North Texas Health Science Center, School of Public Health, Department of Behavioral and Community Health, Fort Worth, TX.
J Subst Abuse Treat. 2015 Sep;56:1-10. doi: 10.1016/j.jsat.2015.01.011. Epub 2015 Feb 2.
Mobile technology provides new opportunities for health promotion communication. The purpose of this study was to conduct a current and extensive meta-analytic review of SMS (short message service) text message-based interventions for individual smoking cessation.
Academic Search Complete, PsycINFO, PubMed, and Scopus were reviewed for articles meeting selection criteria: 1) randomized controlled trials, 2) measured smoking cessation, and 3) intervention primarily delivered through SMS text messaging. Three and 6month follow-up of 7-day point prevalence or continuous abstinence was considered from studies meeting criteria. All analyses were conducted with intention-to-treat. Both fixed and random effects models were used to calculate the global outcome measure and confidence intervals.
Thirteen studies were identified that met inclusion criteria. The studies were found to be homogeneous [Q12=12.47, p=0.14]. Odds ratios based on the random effects models suggested that interventions generally increased quit rates compared to controls, 1.36 [95% CI=1.23, 1.51]. Intervention efficacy was higher in studies with a 3month follow-up compared to 6month follow-up. Text plus programs (e.g., text messaging plus Web or in-person intervention modalities) performed only slightly better than text only programs. Pooled results also indicate message frequency schedule can affect quit rates, in which fixed schedules performed better than decreasing or variable schedules. The use of quit status assessment messages was not related to intervention efficacy.
Smoking quit rates for the text messaging intervention group were 36% higher compared to the control group quit rates. Results suggest that SMS text messaging may be a promising way to improve smoking cessation outcomes. This is significant given the relatively wide reach and low cost of text message interventions. Identifying the components that make interventions efficacious will help to increase the effectiveness of such interventions.
移动技术为健康促进交流提供了新机遇。本研究旨在对基于短信（短消息服务）文本信息的个体戒烟干预措施进行全面且广泛的荟萃分析综述。
对学术搜索完整版、心理学文摘数据库、医学期刊数据库及Scopus进行检索，查找符合以下入选标准的文章：1）随机对照试验；2）测量戒烟情况；3）干预主要通过短信文本信息进行。符合标准的研究需考虑7天时间点患病率或持续戒烟的3个月和6个月随访情况。所有分析均采用意向性分析。固定效应模型和随机效应模型均用于计算总体结局指标及置信区间。
共确定了13项符合纳入标准的研究。这些研究具有同质性[Q(12)=12.47，p = 0.14]。基于随机效应模型的优势比表明，与对照组相比，干预措施总体上提高了戒烟率，为1.36[95%置信区间=1.23，1.51]。与6个月随访的研究相比，3个月随访的研究中干预效果更高。文本加项目（如短信加网络或面对面干预方式）的表现仅略优于仅文本项目。汇总结果还表明，信息发送频率安排会影响戒烟率，固定安排比递减或可变安排效果更好。使用戒烟状态评估信息与干预效果无关。
短信干预组的戒烟率比对照组戒烟率高36%。结果表明，短信文本信息可能是改善戒烟效果的一种有前景的方式。鉴于短信干预的覆盖面相对较广且成本较低，这具有重要意义。确定使干预措施有效的组成部分将有助于提高此类干预措施的有效性。
