Yang Yu-Meng, Wang Tzu, Chan Hsun-Yu, Huang Yen-Ming
College of Medicine, Graduate Institute of Clinical Pharmacy, National Taiwan University, Taipei City, Taiwan.
College of Medicine, School of Pharmacy, National Taiwan University, Taipei City, Taiwan.
J Med Internet Res. 2025 Jul 21;27:e71982. doi: 10.2196/71982.
Medication nonadherence in cardiometabolic syndrome negatively impacts patients' quality of life, health care systems, and economic stability. Despite extensive research, no universally recognized strategy has been established to improve adherence. SMS text messaging has emerged as a widely accessible and cost-effective intervention, particularly when the intervention is structured using behavioral theories.
This study aimed to review existing literature and identify key factors in the design of SMS text messaging interventions for improving medication adherence among patients with diabetes, hypertension, or hyperlipidemia.
We conducted a scoping review following the SPIDER (sample, phenomenon of interest, design, evaluation, research type) framework and guided by the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist. Relevant literature on SMS text messaging interventions was searched in the PubMed and Scopus databases from inception to October 2024. The search terms included "diabetes," "hypertension," "hyperlipidemia," "message," "text," "text message," "app," "application," "digital," "device," "mobile," "medical adherence," and "medication adherence," combined using logical operators "OR" and "AND." Full-text articles were analyzed for study design, author, country, year of publication, disease focus, behavioral theory, and the constructs or domains of text messages.
A total of 52 studies investigating SMS text messaging interventions to enhance medication adherence were identified. The targeted conditions included diabetes (26/52, 50%), hypertension (16/52, 31%), and various other chronic diseases (10/52, 19%). More than half of the studies (33/52, 64%) incorporated behavioral theories or techniques in their intervention design, using 19 distinct behavioral models. The most frequently used frameworks were the behavior change technique taxonomy (16/52, 31%) and the capability, opportunity, motivation, and behavior model (6/52, 12%). In addition, 33 (64%) studies implemented tailored messaging strategies, with the most common approach being content customization based on individual patient information (21/52, 40%), followed by personalized timing and frequency of messages (14/52, 27%), to enhance interventions' adaptability and relevance to users' needs.
This review highlights critical factors influencing the design of SMS text messaging interventions for medication adherence in the management of diabetes, hypertension, and hyperlipidemia. The findings underscore the importance of integrating behavioral theories and tailoring strategies to optimize patient engagement and intervention effectiveness. Further research is needed to evaluate the impact of different tailoring approaches and translate these insights into practical interventions.
心脏代谢综合征患者的用药依从性不佳会对患者的生活质量、医疗保健系统和经济稳定性产生负面影响。尽管进行了广泛的研究,但尚未建立普遍认可的改善依从性的策略。短信已成为一种广泛可用且具有成本效益的干预措施,尤其是当干预措施采用行为理论构建时。
本研究旨在回顾现有文献,确定用于改善糖尿病、高血压或高脂血症患者用药依从性的短信干预设计中的关键因素。
我们按照SPIDER(样本、感兴趣的现象、设计、评估、研究类型)框架并以PRISMA-ScR(系统评价和Meta分析扩展的范围综述的首选报告项目)清单为指导进行了范围综述。从数据库建立至2024年10月,在PubMed和Scopus数据库中搜索有关短信干预的相关文献。搜索词包括“糖尿病”“高血压”“高脂血症”“信息”“文本”“短信”“应用程序”“应用”“数字”“设备”“移动”“医疗依从性”和“用药依从性”,使用逻辑运算符“OR”和“AND”进行组合。对全文进行分析,了解研究设计、作者、国家、发表年份、疾病重点、行为理论以及短信的构成或领域。
共确定了52项研究,这些研究调查了用于提高用药依从性的短信干预措施。目标疾病包括糖尿病(26/52,50%)、高血压(16/52,31%)和其他各种慢性病(10/52,19%)。超过一半的研究(33/52,64%)在干预设计中纳入了行为理论或技术,使用了19种不同的行为模型。最常用的框架是行为改变技术分类法(16/52,31%)和能力、机会、动机和行为模型(6/52,12%)。此外,33项(64%)研究实施了定制短信策略,最常见的方法是根据患者个人信息进行内容定制(21/52,40%),其次是个性化的短信发送时间和频率(14/52,27%),以提高干预措施对用户需求的适应性和相关性。
本综述强调了影响糖尿病、高血压和高脂血症管理中用药依从性短信干预设计的关键因素。研究结果强调了整合行为理论和定制策略以优化患者参与度和干预效果的重要性。需要进一步研究评估不同定制方法的影响,并将这些见解转化为实际干预措施。