Effectiveness of Information and Communication Technology-Based Cognitive Behavioral Therapy Using the Smart Sleep App on Insomnia in Older Adults: Randomized Controlled Trial.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
ChanHee Kim, Yeonhee Lee, Seung-Gul Kang, Seon-Heui Lee
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引用次数: 0

Abstract

Background: Insomnia is a common sleep disorder, especially among older adults, with a significant impact on the quality of life (QoL) and is associated with various comorbidities. Traditional pharmacotherapy for insomnia is often unsuitable for older adults because of potential drug interactions and side effects, making nonpharmacological interventions such as cognitive behavioral therapy for insomnia (CBT-I) more appropriate. However, delivering CBT-I in a traditional face-to-face setting poses challenges including accessibility and adherence, particularly for older adults.

Objective: This study aimed to evaluate the effectiveness of an information and communication technology (ICT)-based CBT-I program, "Smart Sleep," specifically designed to improve insomnia among community-dwelling older persons.

Methods: A single-blind randomized controlled trial was conducted with 59 older participants from Incheon, South Korea. Participants were divided into an intervention group, which used the Smart Sleep mobile app, and a control group. The intervention group received 8 weeks of non-face-to-face CBT-I through the app, which included sleep diaries, relaxation exercises, and real-time consultations. Outcomes were measured at baseline, week 4, and week 8, with a focus on insomnia severity, sleep quality, sleep efficiency, dysfunctional beliefs about sleep, depression, and QoL.

Results: The intervention group showed significant improvements in insomnia severity, sleep quality, sleep efficiency, and dysfunctional beliefs about sleep compared to the control group. However, there was no significant difference in the QoL between the 2 groups (F2,114=0.998, P=.37). Participation rates in the Smart Sleep program were high, with a 94% completion rate for sleep diary tasks and 100% participation in real-time consultations. In addition, subgroup analysis based on sleep medication use showed significant improvements in insomnia severity for both medicated and nonmedicated participants.

Conclusions: The ICT-based CBT-I program "Smart Sleep" effectively improved sleep-related outcomes among older participants, demonstrating the potential of non-face-to-face interventions in managing insomnia in this population. The program is user-friendly, and ICT-based coaching contributed to high engagement. To ensure broader access for older adults, distribution through community welfare or public health centers is recommended.

Trial registration: Clinical Research Information Service KCT0007287; https://cris.nih.go.kr/cris/search/detailSearch.do?seq=23344.

基于信息通信技术的认知行为疗法使用智能睡眠App治疗老年人失眠症的有效性:随机对照试验
背景:失眠是一种常见的睡眠障碍,特别是在老年人中,对生活质量(QoL)有重大影响,并与各种合并症相关。传统的药物治疗失眠往往不适合老年人,因为潜在的药物相互作用和副作用,使非药物干预,如认知行为治疗失眠(CBT-I)更合适。然而,在传统的面对面环境中提供CBT-I存在挑战,包括可及性和依从性,特别是对于老年人。目的:本研究旨在评估基于信息和通信技术(ICT)的CBT-I项目“智能睡眠”的有效性,该项目专门设计用于改善社区老年人的失眠症。方法:对59名来自韩国仁川的老年人进行单盲随机对照试验。参与者被分为使用智能睡眠移动应用程序的干预组和对照组。干预组通过应用程序接受了8周的非面对面CBT-I,包括睡眠日记、放松练习和实时咨询。结果在基线、第4周和第8周进行测量,重点是失眠严重程度、睡眠质量、睡眠效率、对睡眠的不正常信念、抑郁和生活质量。结果:与对照组相比,干预组在失眠严重程度、睡眠质量、睡眠效率和对睡眠的不正常信念方面均有显著改善。两组患者生活质量比较差异无统计学意义(f2114 =0.998, P= 0.37)。智能睡眠项目的参与率很高,睡眠日记任务的完成率为94%,实时咨询的参与率为100%。此外,基于睡眠药物使用的亚组分析显示,服用药物和未服用药物的参与者在失眠严重程度上都有显著改善。结论:基于信息通信技术的CBT-I项目“智能睡眠”有效地改善了老年参与者的睡眠相关结果,证明了非面对面干预在管理该人群失眠方面的潜力。该项目用户友好,基于信息通信技术的指导有助于提高参与度。为了确保老年人更广泛地获得,建议通过社区福利或公共卫生中心分发。试验注册:临床研究信息服务KCT0007287;https://cris.nih.go.kr/cris/search/detailSearch.do?seq=23344。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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