View clinical trials related to Insomnia.
Filter by:PROSAP-A is a perioperative randomized, controlled trial with a 12-month follow-up period after total knee arthroplasty (TKA) or total hip arthroplasty (THA), aiming to investigate both acute and long-term postoperative effects of preoperative sleep-promotion. Participants with clinically significant insomnia symptoms will be randomized to a brief, hybrid version of cognitive behavioral therapy for insomnia (CBT-I) or sleep education therapy, administered over a 4-week period, prior to surgery. The primary objectives are to evaluate effects of preoperative sleep-promotion on acute and long-term postoperative pain control. Secondary objectives include evaluation of postoperative sleep, recovery, mental health, cognitive function and alterations in blood biomarkers.
The "SleepFix Study" is a clinical trial designed to evaluate the efficacy of mobile-delivered sleep restriction therapy (dBTi) in comparison to digital sleep health education (control) for treating insomnia disorder in adults aged 18 and above. The study is conducted entirely online, with 558 participants (279 in each group) and aims to determine the impact of the interventions on insomnia symptom severity, sleep metrics, subjective sleep quality, fatigue, anxiety, depressive symptoms, quality of life, medication usage, and workforce productivity.
The goal of this clinical trialis to compare a digital Cognitive-behavioral intervention for insomnia to digital administered applied relaxation in participants with Multiple Sclerosis. The treatments will be compared in following outcomes: - Sleep diary: total sleep time (TST), sleep onset latency (SOL), wake after sleep onset (WASO), and early morning awakening (EMA). - Insomnia symptoms - Depressive symptoms - Client satisfaction - Negative effects - Worry - Fatigue - Quality of life - MS symptoms/function
This randomized controlled trials aims to assess the effectiveness of an online guided self-help intervention ('i-Sleep & BioClock') based on CBTi principles for university students' sleep problems. The study will involve 192 students with subthreshold insomnia who will be randomized to the intervention or online psychoeducation. The intervention consists of 5 modules completed in about 5 weeks, supported by e-coaches. Outcomes include insomnia severity, mental health symptoms, functioning, quality of life, and academic performance, measured at baseline, post-treatment (6 weeks after baseline), and 18 weeks follow-up.
This study will be a randomised controlled trial to investigate an integrated platform that incorporates ecological momentary assessments/interventions (EMA/I) into cognitive behavioural therapy for insomnia (CBT-I) using mHealth and wearable technology. The intervention is a promising prospect to address current challenges in the context of sleep medicine to provide real-time and real-world intervention with accuracy, low cost, and easy accessibility.
Insomnia is an important public health problem and the most common sleep disorder in the general population. Up to 20% of adults in the United States suffer from insomnia disorder, and it has been associated with increased morbidity, mortality, and healthcare costs. Cognitive behavioral therapy for insomnia (CBT-I) is the initial recommended treatment approach for insomnia. Combined therapy with CBT-I and medication has shown no advantage over CBT-I alone. CBT-I is not always accessible to patients, however, due to cost and availability of trained healthcare professionals. Web-based CBT-I is an inexpensive and effective self-management tool for treatment of insomnia. This pilot study would test the efficacy of a new digital CBT-I application called Stellar Sleep, a cost effective and user-friendly version of wCBT-I, in patients with insomnia. This is the first digital CBT-I app that allows automatic entry of sleep diary data from wearable devices that track sleep (such as the Mi Band 5 or a FitBit, for instance). Testing the efficacy of this application will provide the preliminary data necessary for larger trials to further validate the application and determine its role for future patients. Use of this application can help bridge the gap in providing care to insomnia patients with transportation and cost barriers and to accommodate the long wait times for traditional in-person CBT-I. It will also be the first web-based CBT-I application that can directly upload data from a wearable device.
This study aims to better adapt cognitive behavioral therapy for insomnia (CBTi) for people with comorbid depression by using objective sleep measures to tailor the behavioral interventions components of CBTi. Using ambulatory monitors, we also aim to investigate changes in brain activity and heart rate throughout the intervention. In this parallel-group randomized clinical trial, participants undergo one week of baseline ambulatory monitoring after which they are randomly assigned to one of two intervention arms: 1) digitally delivered CBTi (eCBTi) based on standard subjective sleep measures (sleep diary), or 2) eCBTi based on objective sleep measures (EEG headband). The intervention spans over 5-weeks, followed by a week of ambulatory monitoring and follow-up measures one week and one month after the end of the intervention. The study also includes a post-intervention interview to gather feedback on participant experiences. The overall protocol includes online questionnaires and structured clinical interviews assessing sleep, insomnia, and mental health, as well as treatment-related measures before, during, and after the intervention. It is anticipated that eCBTi using objective sleep measures will lead to better treatment acceptability, satisfaction, and effectiveness, including greater improvements in symptoms of insomnia and depression. It is also anticipated that sleep EEG and heart rate profiles will improve along the course of eCBTi.
Medical research participation percentages haven't always been fully representative of a given demographic. The goal is to find out which aspects of a clinical trial may make it more difficult for patients to take part or see it through. The data will be evaluated through different demographic lenses and identify trends that could help improve the experience of future insomnia patients during clinical study.
Insomnia is a common sleep disorder in which a person has difficulty falling asleep or staying asleep or getting good quality sleep. Consequences of insomnia include daytime sleepiness, poor memory function, decline in concentration with negative impacts on social and work activities. Although medical cannabis and cannabis products are widely used worldwide for the management of symptoms associated with insomnia, there is little clinical data available to support the efficacy or utility of CBD in the management of sleep disorders. The proposed study will assess whether nightly doses of 75mg or 150mg of an 8 week period are able to improve patient reported sleep quality when compared to a placebo.
This study will recruit women over the age of 18 with a current or prior cancer diagnosis who have clinical insomnia. This study will examine the efficacy of digital cognitive behavioural therapy for insomnia (dCBT-I) compared to sleep hygiene education.