Nudge-based interventions to improve medication adherence in adults with chronic diseases: systematic review and meta-analysis of randomized controlled trials

作者
Zhong-Tian Zhou,Yun Zhang,Junfang Xu,Ning Zhang
出处
期刊:Annals of Behavioral Medicine [Oxford University Press]
卷期号:59 (1)
标识
DOI:10.1093/abm/kaaf097
摘要

Abstract Background Medication adherence is crucial for managing chronic conditions, yet medication adherence rates are often suboptimal. Nudge-based interventions have shown promise in other health behaviors, but their effectiveness in improving medication adherence remains unclear. Purpose To evaluate the effectiveness of nudge-based interventions in improving medication adherence among adults with chronic diseases. Method We searched 6 electronic databases (PubMed, Embase, Web of Science, PsycINFO, Scopus, and Cochrane) for studies (January 1, 2014, to November 23, 2024). Included studies were randomized controlled trials (RCTs), involving adults (≥18 years) with chronic diseases that compared nudge-based interventions to improve medication adherence with usual care. Two reviewers independently extracted data and assessed the risk of bias. Key study characteristics were summarized. Random-effects meta-analyses were conducted to calculate standardized mean differences (Hedges’ g) and 95% CIs. Heterogeneity was assessed using the Cochrane Q test and I2, and sensitivity analyses were performed to evaluate the robustness of the findings. Results A total of 36 studies were included, with 19 RCTs providing data for meta-analysis (total N = 2690). Nearly half were rated as low risk of bias. The pooled effect size was Hedges’ g = 0.68 (95% CI, 0.16-1.20, P < .01). Significant heterogeneity was observed (I2 = 96.3%, P < .01), subgroup analyses were conducted to identify significant sources of this heterogeneity. No publication bias was detected (Egger’s test, P = .447). Conclusion Overall, nudge-based interventions have the potential to improve medication adherence among adults with chronic disease. There is a need for further well-designed studies to enhance the strength of the evidence.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
1秒前
1秒前
俭朴涵雁完成签到,获得积分10
1秒前
zyy发布了新的文献求助10
1秒前
xtt12343完成签到,获得积分10
2秒前
共享精神应助spacetime采纳,获得10
3秒前
3秒前
5秒前
6秒前
Shelley发布了新的文献求助10
6秒前
深情安青应助namseok采纳,获得10
6秒前
lyt发布了新的文献求助10
6秒前
6秒前
zgfaaa完成签到,获得积分10
7秒前
慕青应助Zkf采纳,获得10
7秒前
深情安青应助Enoson采纳,获得10
8秒前
言标发布了新的文献求助10
8秒前
Helen发布了新的文献求助10
8秒前
NaNa完成签到,获得积分10
8秒前
9秒前
Jacky77完成签到,获得积分10
9秒前
江漓完成签到 ,获得积分10
9秒前
新月发布了新的文献求助10
10秒前
11秒前
11秒前
金针菇完成签到,获得积分20
11秒前
CodeCraft应助云朵采纳,获得10
12秒前
Su完成签到 ,获得积分10
12秒前
13秒前
李同学发布了新的文献求助10
13秒前
13秒前
Shelley完成签到,获得积分10
13秒前
sk2599发布了新的文献求助10
14秒前
14秒前
果子发布了新的文献求助10
16秒前
懂炸天完成签到,获得积分10
16秒前
泥豪泥嚎完成签到,获得积分10
17秒前
西瓜完成签到 ,获得积分10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The anomeric effect 1314
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7734581
求助须知:如何正确求助?哪些是违规求助? 9284917
关于积分的说明 20167389
捐赠科研通 7312484
什么是DOI,文献DOI怎么找? 3304671
关于科研通互助平台的介绍 2457289
邀请新用户注册赠送积分活动 2313974