E-aid Cognitive Behavior Therapy for Insomnia to Prevent Transition From Acute Insomnia to Chronic Insomnia in China

Insomnia Clinical Trial

Official title: A Randomized Controlled Study of E-aid Cognitive Behavior Therapy in Patients With Acute Insomnia to Prevent Transition to Chronic Insomnia

Status Completed

Clinical Trial Summary

Acute insomnia is one of the most common sleep disorders. Online cognitive behavioral therapy for insomnia (e-aid Cognitive Behavioral Therapy for Insomnia, eCBTI) has received wide attention in recent years. Foreign countries already have some eCBTI treatment tool, shown similar efficacy as standard CBTI, but how eCBTI can help in acute insomnia require further exploration and examination. In this study, Investigators will establish eCBTI treatment tool to test whether eCBTI can reduce the conversion of acute insomnia to chronic insomnia disorder; and whether they can improve insomnia symptoms, sleep-related symptoms, anxiety and depressive symptoms, and quality of life

Clinical Trial Description

Insomnia patients are collected from: Outpatients from Sleep clinics. Included 200 cases of acute insomnia patients, the participants will randomly divided into 100 brief eCBTI Group and 100 patients with control group, brief eCBTI Group will receive 1 Week eCBTI intervention and control group will not receive any intervention. Both groups will receive 3 months of follow-up. At week 2, ISI and HADS will be conducted. Brief eCBTI group will also complete Treatment Component Adherence Scale (TCAS) in order to assess treatment adherence to and perceived helpfulness of each therapeutic element. At 3 months, two groups of subjects will have baseline assessment(except socio-demographic information), including chronic insomnia disorder diagnosis and self evaluation form (ISI, DBAS, SHPS ,PSAS,FIRST,ESS,HADS,SF-12v2). This study provides a Smartphone to complete third-party applications online insomnia treatment procedures. Brief eCBTI includes 1-week core curriculum: sleep hygiene education, sleep restriction, stimulus control, relaxation audios, cognitive components, information about sleeping pills, and a brief overview. Previous studies have shown that approximately 40% of acute insomnia will turn into Chronic insomnia disorder.While our preliminary work suggests, with the extension of follow-up time, high rates of chronic insomnia may be more ( 52.3% ).In order to meet the 95% confidence intervals (Confidence Interval, CI )( 35%-49% ) requirement, the project needs 200 acute insomnia disorder subjects, and random access eCBTI Treatment group and the control group (100 Cases) of whom an estimated 70% or more participants can complete 3 months of follow-up. This sample size ensures continuous data of small sample (Cohen d = 0.30) statistical effect is greater than 0.8, And test the odds ratio of dichotomous variables (Odds Ratio, OR) greater than 1.50(p>0.05 ). Mean value for continuous variable data ± Standard deviation, Numerical or categorical variable data expressed as a percentage. T test for the continuous variables and Chi Square test for the categorical variables will be used. Using repeated measures analysis of variance to compare two sets of continuous variables in the treatment and follow-up of changes in the process (such as ISI score, etc). Incidence of chronic insomnia is computed using Chi Square test. All statistical procedures are used in Windows running 26.0 version of the SPSS package (IBM SPSS 26.0). ;

Related Conditions & MeSH terms

• Insomnia
• Sleep Initiation and Maintenance Disorders

• NCT number: NCT03302455
• Study type: Interventional
• Source: Nanfang Hospital of Southern Medical University
• Status: Completed
• Phase: N/A
• Start date: November 1, 2017
• Completion date: June 2, 2019