Sahin Cigdem, Courtney Karen L, Naylor P J, E Rhodes Ryan
Social Dimensions of Health Program, University of Victoria, Victoria, BC, Canada.
School of Health Information Science, University of Victoria, Victoria, BC, Canada.
Digit Health. 2019 Apr 22;5:2055207619845279. doi: 10.1177/2055207619845279. eCollection 2019 Jan-Dec.
This study aimed to identify, assess and summarize available scientific evidence on tailored text messaging interventions focused on type 2 diabetes self-management. The systematic review concentrated on message design and delivery features, and tailoring strategies. The meta-analysis assessed the moderators of the effectiveness of tailored text messaging interventions.
A comprehensive search strategy included major electronic databases, key journal searches and reference list searching for related studies. PRISMA and Cochrane Collaboration's guidelines and recommended tools for data extraction, quality appraisal and data analysis were followed. Data were extracted on participant characteristics (age, gender, ethnicity), and interventional and methodological characteristics (study design, study setting, study length, choice of modality, comparison group, message type, format, content, use of interactivity, message frequency, message timing, message delivery, tailoring strategies and theory use). Outcome measures included diet, physical activity, medication adherence and glycated hemoglobin data (HbA1C). Where possible, a random effects meta-analysis was performed to pool data on the effectiveness of the tailored text messaging interventions and moderator variables.
The search returned 13 eligible trials for the systematic review and 11 eligible trials for the meta-analysis. The majority of the studies were randomized controlled trials, conducted in high-income settings, used multi-modalities, and mostly delivered informative, educational messages through an automated message delivery system. Tailored text messaging interventions produced a substantial effect ( = 0.54, 95% CI = 0.08-0.99, < 0.001) on HbA1C values for a total of 949 patients. Subgroup analyses revealed the importance of some moderators such as message delivery ( = 18.72, df = 1, = 0.001), message direction ( = 5.26, df = 1, = 0.022), message frequency ( = 18.72, df = 1, = 0.000) and using multi-modalities ( = 6.18, df = 1, = 0.013).
Tailored mobile text messaging interventions can improve glycemic control in type 2 diabetes patients. However, more rigorous interventions with larger samples and longer follow-ups are required to confirm these findings and explore the effects of tailored text messaging on other self-management outcomes.
本研究旨在识别、评估和总结有关针对2型糖尿病自我管理的定制短信干预措施的现有科学证据。系统评价集中在信息设计和传递特征以及定制策略上。荟萃分析评估了定制短信干预措施有效性的调节因素。
采用综合检索策略,包括主要电子数据库、关键期刊检索以及参考文献列表检索相关研究。遵循PRISMA和Cochrane协作网的指南以及推荐的数据提取、质量评估和数据分析工具。提取了关于参与者特征(年龄、性别、种族)以及干预和方法学特征(研究设计、研究环境、研究时长、模式选择、对照组、信息类型、格式、内容、互动性使用、信息频率、信息发送时间、信息传递、定制策略和理论应用)的数据。结局指标包括饮食、身体活动、药物依从性和糖化血红蛋白数据(HbA1C)。在可能的情况下,进行随机效应荟萃分析以汇总关于定制短信干预措施有效性和调节变量的数据。
检索结果返回13项符合系统评价的试验和11项符合荟萃分析的试验。大多数研究为随机对照试验,在高收入环境中开展,采用多种模式,且大多通过自动信息传递系统发送信息丰富、具有教育意义的信息。定制短信干预措施对总共949名患者的HbA1C值产生了显著影响(效应量 = 0.54,95%置信区间 = 0.08 - 0.99,P < 0.001)。亚组分析揭示了一些调节因素的重要性,如信息传递(Q = 18.72,自由度 = 1,P = 0.001)、信息方向(Q = 5.26,自由度 = 1,P = 0.022)、信息频率(Q = 18.72,自由度 = 1,P = 0.000)和使用多种模式(Q = 6.18,自由度 = 1,P = 0.013)。
定制的手机短信干预措施可改善2型糖尿病患者的血糖控制。然而,需要更严格的干预措施,纳入更大样本量和更长随访时间,以证实这些发现并探索定制短信对其他自我管理结局的影响。