IT-based reminders for medication adherence: systematic review, taxonomy, framework and research directions

被引:13
作者
Singh, Neetu [1 ]
Varshney, Upkar [2 ]
机构
[1] Univ Illinois, Dept Management Informat Syst, Springfield, IL 62703 USA
[2] Georgia State Univ, J Mack Robinson Coll Business, Dept Comp Informat Syst, Atlanta, GA 30303 USA
关键词
IT-based reminders; effectiveness; systematic review; taxonomy; framework; research directions; TEXT-MESSAGE REMINDERS; RANDOMIZED CONTROLLED-TRIAL; IMPROVE ADHERENCE; INFORMATION-SYSTEMS; PATIENT COMPLIANCE; CHRONIC DISEASES; ORAL MEDICATION; SMS REMINDER; ADOLESCENTS; FEASIBILITY;
D O I
10.1080/0960085X.2019.1701956
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
IT-based reminders have been one of the most promising interventions to improve medication adherence. Even with considerable research, it is not clear what types of reminders are effective for different patients and diseases and how much improvement in adherence is sustainable over time. To answer this, we conduct a systematic literature review of IT-based reminders. We utilise a six-step process reflecting the systematicity and transparency which is implemented using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Then, we develop a taxonomy of reminders, using Nickerson's method, including thirteen characteristics categorised in four different dimensions. The findings are used in deciding when and where and how to use reminders with what type of patients for how long in improving medication adherence. The subsequent detailed analysis of the articles brought numerous insights leading to the development of Comprehensive Framework for Medication Reminders (CFMR). The framework can be used by the IS researchers for developing theoretical models to study the effectiveness of interventions for improving medication adherence. The taxonomy can be extended to a multi-level taxonomy using the proposed framework and research directions and can be further evaluated using domain experts.
引用
收藏
页码:84 / 108
页数:25
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