Study on the Remote Diagnosis and Treatment Strategy of New-onset Insomnia Under the COVID-19 Epidemic...
InsomniaCBT2 moreInsomnia is a disorder characterized by both nocturnal and daytime symptoms. The main symptoms are unsatisfactory sleep quality or duration, accompanied by difficulty falling asleep before bedtime, frequent or prolonged awakenings, or an inability to fall back asleep after waking in the early morning. Our previous investigation has confirmed that during the period of home isolation of the epidemic, the community people suffered from acute insomnia induced by the epidemic. In order to comprehensively, efficiently and scientifically respond to major public health emergencies such as the COVID-19 epidemic and its long-term impact, it is necessary to carry out in-depth and systematic research on insomnia related issues of medical staff under the COVID-19 epidemic. In summary, insomnia is a widespread problem among medical staff during the epidemic, which greatly reduces the work efficiency of medical staff and damages their physical and mental health. Without timely and effective early identification and effective intervention, allowing the disease to continue to develop will bring a series of concurrent diseases, threaten the lives of medical staff and bring a series of negative social effects. At the same time, the diagnosis and intervention of large-scale acute insomnia for medical staff under the epidemic face some scenario limitations, and it is necessary to consider the spread of the virus to reduce direct contact. Especially for some medical staff in isolation, it is more difficult to implement face-to-face evaluation, diagnosis and treatment. Under the COVID-19 pandemic, there are two main contradictions in the acute insomnia of medical staff. The first is the lack of a diagnostic cloud platform based on artificial intelligence for large-scale acute insomnia. The second is the lack of an effective remote intervention for acute insomnia suitable for the epidemic scenario. Based on the results and deficiencies of the previous research, this project intends to further study and improve in three aspects. First, a large-scale and more accurate artificial intelligence-based automatic screening and diagnosis model research was carried out in combination with CPC equipment for acute insomnia screening of medical staff under the epidemic situation. The second is to use epidemic insomnia acute insomnia CPR to intervene the acute insomnia and other psychiatric symptoms of medical staff on a large scale and verify its effectiveness through follow-up. Third, for the epidemic scenario, further build an intelligent screening and remote intervention system platform for acute insomnia for the majority of medical staff, and continue to provide an assessment, intervention and consultation platform for medical staff under the epidemic. Therefore, in order to comprehensively cope with the increase in the incidence of acute insomnia among medical staff under the COVID-19 epidemic and its resulting disease, social and economic burden, we should pay attention to the mental health of medical staff in the first-level key susceptible population, and improve the response experience of major public health emergencies in the future. This project aims to establish a portable and efficient artificial intelligent-based diagnosis cloud platform method and remote intervention system for medical staff with acute insomnia under the epidemic situation, which is suitable for large-scale development. Based on the data collected by portable devices and electronic scales, a risk assessment model for acute insomnia and other psychiatric symptoms of medical staff in the epidemic situation is constructed, and effective intervention is carried out on this basis. To promote the establishment of a comprehensive prevention and treatment system for insomnia after the epidemic, comprehensively carry out systematic work from multiple perspectives, improve mental health, summarize and form China's experience in dealing with major public emergencies, and promote it internationally, so as to reduce the impact and loss caused by the COVID-19 epidemic on a global scale.
Preventing Insomnia With Virtual Oneshot Therapy (PIVOT)
InsomniaThis study is intended to assess the efficacy of preventative Cognitive Behavioral Therapy for Insomnia (pCBT-I) on reducing the severity and stopping the progression of acute insomnia and depression. We also hope to gain a deeper understanding of the sociocultural, interpersonal, and individual factors that may have a role in development of insomnia and/or engagement with treatment plans.
Prevention of Insomnia in At-risk Youth
InsomniaThis study aims to conduct a randomized controlled trial in comparing cognitive behavioral insomnia prevention program with the active control group in youths who are at risk of insomnia. The results of this study will allow us to take this potential efficacious prevention program to scale and reduce the associated burden of insomnia in the future.
General Versus Regional Anesthesia and Postoperative Sleep Quality
AnesthesiaSurgery7 moreMajor surgery can lead to postoperative disturbances in sleep patterns with subjective deterioration of sleep quality according to patients' reports as well as objective alterations of sleep architecture, as recorded by polysomnography Factors implicated in postoperative sleep disturbances include but are not limited to the severity of the surgical procedure, the neuroendocrine response to surgery, inadequate treatment of postoperative pain and external factors interfering with sleep, such as light, noise and therapeutic procedures There are no adequate data from current literature as to whether regional anesthesia is superior to general anesthesia regarding postoperative sleep quality in patients subjected to either mode of anesthesia. So, the aim of this study will be to assess the effect of two different anesthetic techniques (general versus regional) in patients subjected to similar operations Patients will be assessed with the Pittsburgh Sleep Quality Questionnaire (PSQI), regarding preoperative and long term postoperative sleep quality and sleep diaries regarding early postoperative sleep quality
Effectiveness of eCBT-I on Improving Mental Health in Chinese Youths With Insomnia
InsomniaThis study aims to conduct a randomized control trial to validate the treatment effect of e-based cognitive behavioral therapy for Insomnia (eCBT-I) on insomnia disorder, and explore whether eCBT-I could prevent depression and suicide in youths with insomnia and subclinical depression. In addition, to further explore the mechanisms underlying the association between insomnia treatments and psychiatric disorders, this study will evaluate whether changes in candidate factors including insomnia symptoms, poor sleep hygiene, sleep-related unhelpful thoughts and maladaptive behaviors, circadian rhythm disruption and chronic sleep deprivation will mediate the effect of eCBT-I on prevention of depression and suicide.
Cognitive Stimulation and Sleep Quality. An Innovative Intervention for Insomnia
InsomniaInsomnia Type; Sleep DisorderThe purposes of this study are a) to investigate the effect of a personalized and computerized cognitive stimulation program on sleep quality, cognitive performance, and quality of life; and b) verify if cognitive stimulation can be used as a non-pharmacological alternative to improve the quality of sleep in individuals who have insomnia.
Addressing Nocturnal Sleep/Wake Effects on Risk of Suicide in Older Adults
Sleep Initiation and Maintenance DisordersSuicidal IdeationSuicide is a leading cause of death in the US, and insomnia is a risk factor for suicidal thoughts and behaviors. In older adults, suicide is associated with impaired cognitive functioning, and insomnia, which is more prevalent in older adults, is also linked to disrupted cognition. However, there is limited evidence on whether treatment of insomnia can improve suicidal ideation (with or without improving cognition), and no evidence specifically in older adults. Additionally, no studies have investigated digital cognitive behavioral therapy for insomnia (dCBT-I) in this populations. Consequently, this study will help inform future study designs and provide preliminary data on whether dCBT-I is effective for suicidal thinking in older adults.
Digital Behavioral Therapy for Sleep Problems
InsomniaInsomnia is very common, especially in HIV population (up to 73%), and contributes to the development of other conditions such as depression, dementia, inflammation, obesity, and heart diseases. Cognitive-behavioral therapy for insomnia (CBT-I) is known to improve insomnia. However, it has never been tested in HIV-positive patients. The investigators aim to examine the Internet version of this therapy in HIV-positive patients because the availability of CBT-I is very limited while the cost is high. The investigators will test this internet version, also called digital CBT-I (dCBTI), against sleep hygiene education (SHE), a commonly prescribed set of instructions in clinical practice, in 60 HIV-positive patients with insomnia invited from the Multicenter AIDS Cohort Study (MACS) Los Angeles site. The investigators aim to test if dCBTI or SHE improves insomnia in this patient group. This trial involves a behavioral treatment that can be done from home with minimal side effects and includes neither medications nor invasive interventions. Lastly, this trial will provide important pilot data for a larger trial testing long-term effects of insomnia treatment in HIV-positive patients.
Targeting Adolescent Insomnia to Lessen Overall Risk of Suicidal Behavior
InsomniaSuicidal Ideation2 moreThis study will test the effectiveness of a sleep-related primary suicide prevention program entitled TAILOR (Targeting Adolescent Insomnia to Lessen Overall Risk of Suicidal Behavior), which includes specific behavior-change strategies for adolescents at risk of suicidal behavior who suffer from difficulties falling asleep, staying asleep, and/or insufficient sleep.
Bioboosti Device for Insomnia Treatment
InsomniaThe purpose of this study is to determine the effects of the Bioboosti device on sleep for patients who have been diagnosed with insomnia.