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Nurse-led Digital Cognitive Behavioral Therapy for Insomnia (dCBT-I) in University Students With Mild to Moderate Mental Health Problems

2026年7月23日 更新者:Shengzhi Zhao、The University of Hong Kong

Nurse-led Digital Cognitive Behavioral Therapy for Insomnia (dCBT-I) in University Students With Mild to Moderate Mental Health Problems: a Pilot Randomized Controlled Trial

This study aims to evaluate the feasibility, acceptability, and potential effectiveness of a nurse-led digital cognitive behavioral therapy for insomnia (dCBT-I) via large language model based-chatbot among university students with mental health problems.

調査の概要

詳細な説明

This is a two-arm, parallel pilot randomized controlled trial recruiting 100 university students in Hong Kong with mild to moderate symptoms of depression or anxiety who also screen positive for insomnia symptoms. All participants will receive brief sleep health advice and a booklet providing behavioral guidance on lifestyle and environmental factors related to sleep and insomnia. Participants in the intervention group will additionally receive 12 weeks of chatbot-delivered insomnia management intervention, including 2 weeks of daily sleep diary monitoring and 10 weeks of nurse-led instant messaging support grounded in cognitive behavioral therapy for insomnia (CBT-I). The primary outcome is self-reported insomnia severity at 6-month follow-up. Secondary outcomes include health-related quality of life, sleep related quality of life, sleep effort, pre-sleep arousal, anxiety and depression assessed at 3 and 6 months. Analyses will be conducted on intention-to-treat basis.

研究の種類

介入

入学 (推定)

100

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究連絡先

研究連絡先のバックアップ

  • 名前:Tsz Kiu Chan
  • 電話番号:+852 5506 4711
  • メール:natctk1@hku.hk

研究場所

      • Hong Kong、香港
        • School of Public Health, The University of Hong Kong, 18/F, Metro South Tower 1, 39 Wong Chuk Hang Road, Wong Chuk Hang, Hong Kong
        • コンタクト:
        • 主任研究者:
          • Shengzhi Zhao
        • コンタクト:
          • Tsz Kiu Chan
          • 電話番号:+852 5506 4711
          • メール:natctk1@hku.hk

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

  • 大人
  • 高齢者

健康ボランティアの受け入れ

いいえ

説明

Inclusion Criteria:

  • Students aged ≥ 18 years from 22 local higher education institutions (University or Colleges) listed in Education Bureau.
  • Screening score indicating mild to moderate anxiety or depression, defined as a GAD-7 score of 5-14 and/or a PHQ-9 score of 5-14 at baseline.
  • Screened positive for insomnia symptoms using the Sleep Condition Indicator (SCI) and meeting DSM-5 diagnostic criteria for insomnia disorder.
  • Reporting a self-reported sleep efficiency of less than 85% over the past month.
  • Able to communicate in Chinese.

Exclusion Criteria:

  • Participants who self-reported diagnosis of epilepsy, schizophrenia, or bipolar disorder
  • Participants who self-reported current suicidal ideation with intent or a suicide attempt within the past 2 months
  • Participants who self-reported current receipt of psychological or behavioral treatment for insomnia from a health professional
  • Participants who self-reported participation in an online or digital insomnia treatment programme at the time of enrolment.

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:ヘルスサービス研究
  • 割り当て:ランダム化
  • 介入モデル:並列代入
  • マスキング:独身

武器と介入

参加者グループ / アーム
介入・治療
実験的:介入群
At baseline, both groups will receive a 1-on-1 brief sleep health advice developed using guidelines by U.S. Centers for Diseases Control and Prevention and a booklet providing behavioral guidance on lifestyle and environmental factors related to sleep and insomnia.
Following randomization, participants in the intervention group will complete a 2-week chatbot-based daily sleep diary. Each morning (e.g., 8:00 am), participants will be prompted via Whatsapp message delivered by chatbot to report key sleep parameters from the previous night, including bedtime, wake time, sleep onset latency, number and duration of nocturnal awakenings, total sleep time, and perceived sleep quality. The collected sleep diary data will be processed by the chatbot to generate tailored and personalized feedback, supporting individualized sleep recommendations and behavioral adjustments. At the initiation of the intervention, participants will also complete a brief baseline questionnaire to establish personalized treatment goals related to sleep improvement. Throughout the intervention period, participants will have continuous access to chatbot-delivered support, including adaptive guidance based on diary inputs, reinforcement of recommended sleep strategies, and progress
Participants in the intervention group will also receive cognitive behavioral therapy for insomnia (CBT-I) delivered via an LLM-based chatbot through WhatsApp over a 10-week period. The intervention is fully automated and available 24/7, with underlying algorithms enabling the delivery of information, therapeutic support, and advice in a personalized and adaptive manner, informed by participants' ongoing inputs and interaction patterns. The intervention will be structured into 20 chatbot-delivered instant messaging (2 pieces per week). The therapeutic content is adapted from established CBT-I manuals and led by research nurse, incorporating evidence-based behavioral, cognitive, and educational components. Behavioral strategies include sleep restriction, stimulus control, and relaxation techniques. Cognitive components comprise paradoxical intention, cognitive restructuring, mindfulness-based techniques, positive imagery, and strategies for "putting the day to rest." Educational compone
アクティブコンパレータ:対照群
At baseline, both groups will receive a 1-on-1 brief sleep health advice developed using guidelines by U.S. Centers for Diseases Control and Prevention and a booklet providing behavioral guidance on lifestyle and environmental factors related to sleep and insomnia.

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
Self-reported insomnia severity
時間枠:6-month follow-up
Assessed using the Insomnia Severity Index (ISI). The ISI is a 7-item self-report instrument that evaluates both nocturnal and daytime symptoms of insomnia, with total scores ranging from 0 to 28, higher scores indicate greater insomnia severity.
6-month follow-up

二次結果の測定

結果測定
メジャーの説明
時間枠
Health-related quality of life
時間枠:3- and 6-month follow-ups
Assessed using 36-Item Short Form Health Survey [SF-36]. The SF-36 is a 36-item self-reported instrument that measures both Physical Component Scores and Mental Component Scores, with scores ranging from 0 to 100; higher scores indicate better health-related quality of life.
3- and 6-month follow-ups
Sleep-related quality of life
時間枠:3- and 6-month follow-ups
Assessed using Glasgow Sleep Impact Index [GSII]. The GSII is a 7-item self-report instrument that evaluates the sleep-related quality of life, with total scores ranging from 0 to 28, higher scores indicate lower level of sleep-related quality of life.
3- and 6-month follow-ups
Depressive symptoms
時間枠:3- and 6-month follow-ups
Assessed using Patient Health Questionnaire-9 [PHQ-9]. The PHQ-9 is a 9-item self-report instrument that evaluates frequency and severity of depressive symptoms, with total scores ranging from 0 to 27, higher scores indicate higher level of depression.
3- and 6-month follow-ups
Anxiety symptoms
時間枠:3- and 6-month follow-ups
Assessed using Generalized Anxiety Disorder-7 [GAD-7]. The GAD-7 is a 7-item self-report instrument that evaluates the frequency and severity of anxious symptoms, with total scores ranging from 0 to 21, higher scores indicate higher level of anxiety.
3- and 6-month follow-ups
Sleep effort
時間枠:3- and 6-month follow-ups
Assessed using Glasgow Sleep Effort Scale [GSES]. The GSES is a 7-item self-reported instrument, with scores ranging from 0 to 14, higher scores indicate greater sleep effort.
3- and 6-month follow-ups
Pre-sleep arousal
時間枠:3- and 6-month follow-ups
Assessed using Pre-Sleep Arousal Scale [PSAS]. The PSAS is a 16-item self-reported instrument consists of two subscales (cognitive arousal and somatic arousal), with scores ranging from 8 to 40 on each subscale, higher scores indicate greater pre-sleep arousal.
3- and 6-month follow-ups

その他の成果指標

結果測定
メジャーの説明
時間枠
Recruitment rate
時間枠:Baseline
Defined as the number of participants divided by the number of eligible university students.
Baseline
Retention rate
時間枠:3- and 6-month follow-ups
Defined as the number of participants who completed the follow-up divided by the number of participants.
3- and 6-month follow-ups
Engagement rate of the interventions
時間枠:3- and 6-month follow-ups
Engagement rate will be determined by Instant message (IM) log. At least 2 times response will be considered as engaged.
3- and 6-month follow-ups
Usability for the development of a full-scale trial
時間枠:3- and 6-month follow-ups
We will use the 10-item System Usability Scale (SUS) to assess perceived effectiveness, efficiency, and satisfaction of the intervention. The score of SUS ranges from 0 to 100 and 68 is the threshold to determine the usability for the development of a full-scale trial.
3- and 6-month follow-ups
Usability of the chatbot
時間枠:3- and 6-month follow-ups
The usability of the chatbot (Cronbach's alpha: 0.90) is measured by the validated 15-item Bot Usability Scale (BUS).
3- and 6-month follow-ups

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

捜査官

  • 主任研究者:Shengzhi Zhao、The University of Hong Kong

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (推定)

2026年9月1日

一次修了 (推定)

2027年9月30日

研究の完了 (推定)

2027年10月31日

試験登録日

最初に提出

2026年7月13日

QC基準を満たした最初の提出物

2026年7月13日

最初の投稿 (実際)

2026年7月17日

学習記録の更新

投稿された最後の更新 (実際)

2026年7月24日

QC基準を満たした最後の更新が送信されました

2026年7月23日

最終確認日

2026年7月1日

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