A novel digital intervention for actively reducing severity of paediatric ADHD (STARS-ADHD): a randomised controlled trial

干预(咨询) 随机对照试验 注意缺陷多动障碍 耐受性 人口 心理干预 认知 医学 心理学 临床心理学 儿科 精神科 不利影响 内科学 环境卫生
作者
Scott H. Kollins,Denton DeLoss,Elena Cañadas,J. Gary Lutz,Robert L. Findling,Richard S.E. Keefe,Jeffery N. Epstein,Andrew J. Cutler,Stephen V. Faraone
出处
期刊:The Lancet Digital Health [Elsevier]
卷期号:2 (4): e168-e178 被引量:282
标识
DOI:10.1016/s2589-7500(20)30017-0
摘要

Attention-deficit hyperactivity disorder (ADHD) is a common paediatric neurodevelopmental disorder with substantial effect on families and society. Alternatives to traditional care, including novel digital therapeutics, have shown promise to remediate cognitive deficits associated with this disorder and may address barriers to standard therapies, such as pharmacological interventions and behavioural therapy. AKL-T01 is an investigational digital therapeutic designed to target attention and cognitive control delivered through a video game-like interface via at-home play for 25 min per day, 5 days per week for 4 weeks. This study aimed to assess whether AKL-T01 improved attentional performance in paediatric patients with ADHD.The Software Treatment for Actively Reducing Severity of ADHD (STARS-ADHD) was a randomised, double-blind, parallel-group, controlled trial of paediatric patients (aged 8-12 years, without disorder-related medications) with confirmed ADHD and Test of Variables of Attention (TOVA) Attention Performance Index (API) scores of -1·8 and below done by 20 research institutions in the USA. Patients were randomly assigned 1:1 to AKL-T01 or a digital control intervention. The primary outcome was mean change in TOVA API from pre-intervention to post-intervention. Safety, tolerability, and compliance were also assessed. Analyses were done in the intention-to-treat population. This trial is registered with ClinicalTrials.gov, NCT02674633 and is completed.Between July 15, 2016, and Nov 30, 2017, 857 patients were evaluated and 348 were randomly assigned to receive AKL-T01 or control. Among patients who received AKL-T01 (n=180 [52%]; mean [SD] age, 9·7 [1·3] years) or control (n=168 [48%]; mean [SD] age, 9·6 [1·3] years), the non-parametric estimate of the population median change from baseline TOVA API was 0·88 (95% CI 0·24-1·49; p=0·0060). The mean (SD) change from baseline on the TOVA API was 0·93 (3·15) in the AKL-T01 group and 0·03 (3·16) in the control group. There were no serious adverse events or discontinuations. Treatment-related adverse events were mild and included frustration (5 [3%] of 180) and headache (3 [2%] of 180). Patient compliance was a mean of 83 (83%) of 100 expected sessions played (SD, 29·2 sessions).Although future research is needed for this digital intervention, this study provides evidence that AKL-T01 might be used to improve objectively measured inattention in paediatric patients with ADHD, while presenting minimal adverse events.Sponsored by Akili Interactive Labs.

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
hh完成签到 ,获得积分10
1秒前
1秒前
1秒前
隐形曼青应助什么都不想采纳,获得10
2秒前
刘纾菡完成签到,获得积分10
2秒前
sunny发布了新的文献求助10
2秒前
2秒前
酷波er应助收手吧大哥采纳,获得10
3秒前
尽舜尧发布了新的文献求助10
3秒前
min关注了科研通微信公众号
3秒前
共享精神应助xu采纳,获得10
3秒前
faye发布了新的文献求助10
3秒前
量子星尘发布了新的文献求助10
3秒前
4秒前
呆萌惜梦完成签到 ,获得积分10
4秒前
聪慧的冥完成签到,获得积分10
4秒前
5秒前
5秒前
星辰大海应助son采纳,获得10
5秒前
5秒前
Xdhcg发布了新的文献求助10
6秒前
切尔顿发布了新的文献求助50
7秒前
7秒前
在水一方应助罗大壮采纳,获得10
7秒前
7秒前
星辰大海应助lllllllxy采纳,获得10
8秒前
cslghe发布了新的文献求助10
8秒前
萧晓发布了新的文献求助10
8秒前
8秒前
9秒前
婷婷发布了新的文献求助10
9秒前
1911988020完成签到,获得积分10
9秒前
南北完成签到,获得积分10
9秒前
10秒前
兜兜发布了新的文献求助10
11秒前
侧耳倾听发布了新的文献求助10
13秒前
13秒前
量子星尘发布了新的文献求助10
13秒前
进步面包笑哈哈完成签到,获得积分10
13秒前
youjiwuji发布了新的文献求助10
13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
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
the Oxford Guide to the Bantu Languages 3000
Agyptische Geschichte der 21.30. Dynastie 3000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5762020
求助须知:如何正确求助?哪些是违规求助? 5533545
关于积分的说明 15401764
捐赠科研通 4898295
什么是DOI,文献DOI怎么找? 2634801
邀请新用户注册赠送积分活动 1582925
关于科研通互助平台的介绍 1538165