View clinical trials related to Insomnia.
Filter by:Insomnia is defined as the inability to fall asleep or stay asleep at night and it is one of the most prevalent sleep disorders that can have deleterious impacts on health and this population's quality of life. Currently, both pharmaceutical interventions (trazodone) and cognitive behavioral therapy (CBTi) are widely used to treat patients with insomnia. Although CBTi has been efficacious in many patients, multitude of barriers for receiving treatment such as its limited availability of therapists, high costs and long wait times challenge its ability in sufficiently meeting the population's health needs and demands. To improve the delivery of CBT, electronically delivered CBTi (e-CBTi) has been developed as an accessible and effective alternative intervention for improving sleep outcomes in patients with insomnia. While evidence suggest that e-CBTi is effective when compared to placebos/waitlist control, evidence comparing guided e-CBTi to pharmaceutical interventions is still insufficient and needs further exploration.
The goal of this research is to establish a proof of concept for optimizing and evaluating a personalized SMS intervention based for individuals with chronic sleep problems.
KANOPEE is a free smartphone application providing screening, follow-up tools and autonomous digital interventions to lower psycho-social stress and its repercussions on sleep and behaviors in the general population. Additionally, KANOPEE permits an adaptation of the intervention to the subject (i.e., an adapted waiting period, frequency, and content), enabling to perform innovative trial conditions. The objective of this long-term study is to evaluate the efficacy of KANOPEE on users among the French general population exposed to psycho-social stress.
The double-blinded and randomized study evaluated the effectiveness and side effects of a novel non-invasive treatment, Schumann resonance (SR), in treating insomnia. The objective of this study is (1) to evaluate the improvement of sleep quality of patients with insomnia disorder by SR and (2) to be the basis for the future development of physical magnetic therapy.
This study uses mixed methods to investigate the implementation of digital cognitive behavioural therapy for insomnia (Sleepio) in a first episode of psychosis service (FEP). Interviews will be conducted with keyworker clinicians and service users to consider their expectations for digital sleep intervention. The rates of recruitment into the study, eligibility, completion of baseline measures, completion of the intervention sessions, attrition from the intervention and completion of follow up measures will be recorded. Interviews will be conducted with keyworker clinicians and service users to consider their experiences of digital sleep intervention. The primary outcome will be a logic model describing factors acting upon the implementation of Sleepio in this population. The investigators will provide signal data in relation to changes in insomnia severity, psychosis symptomatology, and general mental health.
This single-site study is a pilot, three-armed, double-blinded, placebo-controlled randomized controlled trial (RCT) that will determine the feasibility of a definitive RCT investigating the use of cannabis oil as a treatment for insomnia in individuals with MDD. The study will also determine whether standard THC with higher CBD vs lower CBD has a differential impact on insomnia. The study will also analyze other important objective parameters of sleep including total sleep time and sleep efficiency from actigraphy data. Polysomnography data will also be analyzed. In addition, standardized, validated instruments will be used to collect data on severity of depressive symptoms, cognitive functioning biological rhythm disruption, daytime sleepiness, health-related quality of life (HRQoL), healthcare resource utilization, work productivity and activity impairment, as well as other side effects, in order to better understand the potential impact of the use of cannabis oil on these important health outcomes.
Insomnia is the most prevalent sleep problem in children and adolescents and it has been found to predict the development of mental health problems in young adulthood. Cognitive behavioral therapy for insomnia (CBT-I) has been found to be effective in both adults and adolescents. However, limited accessibility and availability of the treatment has only benefited a small proportion of insomnia patients. Therefore, digital CBT-I has been promoted as an alternative way to manage individual's insomnia problems with adequate efficacy. Nonetheless, one of the major limitations of the online self-help intervention is the relatively high drop-out rate and lower compliance compared to the face-to-face modality which the interactive component is less practical in the online intervention. Therefore, the objectives of current study are 1) evaluate the efficacy of mobile-APP based CBT-I in treating youth insomnia, 2) evaluate whether the provision of additional support could further enhance the treatment outcomes.
The recommended treatment for insomnia, cognitive behavioral therapy for insomnia (CBT-I), is effective. However, its long, multi-component nature makes it challenging to implement in ordinary primary care, where most people are treated. An important component of CBT-I is sleep restriction therapy, which may be comparatively easy to carry out in routine primary care. This project tests whether a brief nurse-led group intervention in primary care based on sleep restriction therapy for insomnia reduces insomnia severity and is cost-effective.
This study aims to evaluate the viability of the combined use of wearable and portable technologies for sleep staging. The results will be compared with polysomnography, in order to achieve clinical and diagnostic validation. Three domains of devices will be used: Movement sensors, wearable EEG band and smartphones The project will be composed of two stages: In the first stage, the use of the combination of actigraphy and EEG will be used for sleep staging in a sample of 12 healthy volunteers from 20 to 40 years old, both genders and with no sleep disorders for each combination of ACT+EEG. Considering there will two of each (thus four combinations), the final sample will be composed of 48 individuals. Once recruited, evaluated according to the inclusion and exclusion criteria and consented with the terms of this study, the participants will be referred to the sleep lab, in which they will undergo a full night type-1 in lab polysomnography, following the setup recommended by the American Academy of Sleep Medicine. Concomitantly with the polysomnography, the participants will also use the combination of ACT+EEG. In the second stage, the most successful combination tested in the first stage will be tested in a clinical sample, composed by 60 participants from both genders, from 20 to 60 years old and with at least one sleep disorder or complaint. Among these, at least 30% of the sample should have moderate to severe insomnia, 30% should have high risk to sleep apnea and 70% should have excessive sleepiness scale. All the procedures, including the polysomnography will be performed identically to the first step.
In this multicenter study, the investigators want to find out if an addition of an diagnostic assessment and possibility of treatment with guided self-help CBT can increase the treatment effects of PCBH on patient functioning and symptoms, compared to standard PCBH which uses contextual assessment and brief interventions. In addition to this, the study will investigate the overall effect of PCBH on both patient and organisation level outcomes.