View clinical trials related to Psychiatric Disorder.
Filter by:The aim of this study is to measure current affective symptoms and psychological distress in individuals with severe mental illness during the COVID-19 pandemic using an online questionnaire survey. In addition, this study aims at identifying individual beliefs, sleep quality, attitudes concerning the virus, the adherence to the measures, believing processes, and coping strategies/resilience patterns referring to COVID-19 in different study centers.
A dynamic analytical tool is being implemented to monitor the health, psychosocial and economic impacts of the COVID-19 pandemic as the crisis unfolds. A longitudinal survey is distributed via a network of hospitals, provincial/national organizations and web platforms. The survey information can be linked to provincial health administrative data and metrics derived from social media activity based on artificial intelligence methods. Targeted questions are included for critical populations such as healthcare workers and people with chronic illnesses.
Given the possible risks and complications of a comorbidity between psychiatric disorder and coronavirus disease 2019 (COVID-19), it seems particularly important to specify the impact of the COVID-19 pandemic in patients with psychiatric disorders and suspected of infection, hospitalized in a specific unit, at the psychiatric, somatic and pharmacological level.
Researchers in the Neurodevelopmental Division at Phoenix Children's Hospital are conducting a study about mitochondrial function in children with autism spectrum disorder (ASD). The study involves up to 5 visits to Phoenix Children's Hospital with fasting blood draws, behavioral assessments, and/or questionnaires. Other samples may be collected when appropriate. This study is currently recruiting. There is no cost for visits or study-related exams.
Disruption of care during transition from child and adolescent mental health (CAMHS) to adult mental health services (AMHS) may adversely affect the health and well-being of service users. Indeed, transition-related discontinuity of care is a major health and societal challenge today. Current evidences show that this transition is not always properly managed and that improving the transition process can have a positive impact on the health and wellbeing of young people. Nevertheless, data available are still inconsistent and only few studies investigated possible models aimed at improving and operationalize the transition. At present, no information concerning the transition in the Geneva Canton is available. According to this lack of evidence, the current study aims at: 1) mapping the CAMHS/AMHS interface; 2) evaluating the longitudinal course and outcomes of adolescents approaching the transition boundary (TB) of their CAMHS; 3) determining the effectiveness of an experimental model of managed transition in improving outcomes, compared with usual care; 4) comparing these results with those of the EU funded MILESTONE study from several other European countries. The investigators will recruit all patients aged ≥ 16 years and 6 months from the Geneva Canton in charge at CAMHS and they will follow them for up to 24 months. CAMHS will be instructed to provide all their service users at the time of transition either usual care or a novel service called "Managed Transition", which will include the use of a new decision support tool, the Transition Readiness and Appropriateness Measure (TRAM). A nested cohort Randomised Controlled Trial (ncRCT) design will be applied to divide patients into the two groups. The health and wellbeing of the young people will be assessed at baseline and then followed-up for 24 months to see whether they transition to AMHS or are discharged or referred to some other service. The investigators will then evaluate what impact the different transition experiences have on young people's health and wellbeing, and whether the process of Managed Transition has any benefits as compared to usual care.
Decades of research have shown that sleep disturbances are common among patients with a wide range of psychiatric disorders. Such reported sleep disturbances include disrupted sleep efficiency and continuity, sleep quality complaints, insomnia, and nightmares. While traditional models suggest that certain sleep alterations are specific for certain mental disorders, newer models assume a transdiagnostic or dimensional view of sleep disturbances in mental disorders. Findings of a recent meta-analysis support the transdiagnostic or dimensional association between sleep disorders and psychiatric conditions. Additionally, the period just prior to sleep has recently received increased clinical and research interest, with studies investigating cognitive activity and rumination prior to sleep. However, only few studies compare sleep in different psychiatric diagnoses and the characteristics of sleep in different mental disorders are still not understood well enough for concrete implications for clinical practice. This is especially true for the population of psychiatric inpatients. In this study, the outcome measures and study variables will be measured with standardised and validated questionnaires, structured clinical interview, and a commercially available Fitbit Charge 2 tracker. Participants will be recruited from the inpatient units of the Psychiatric University Hospital Zurich (PUK). Screening will be conducted by the applicant and master's students enrolled in the project, using electronic patient files at the hospital. The patients will be invited to the study by their treating physician or psychologist. Assessments will consist of one interview and filling out of questionnaires (with a 30- to 45-minute duration respectively). A sub-sample will wear fill out a sleep diary for seven consecutive nights as well as wear a Fitbit Charge 2 tracker, which they will return a week later. Each patient will receive participant reimbursement of 30 Swiss francs (CHF) for their participation in the study.
Nightmares are repeated extremely dysphoric and well-remembered dreams, which typically occur during REM sleep in the second half of sleep, may awaken the dreamer, and upon awakening, individuals quickly become oriented and conscious of their surroundings. Nightmares are very common in psychiatric populations. In psychiatric populations, nightmares can occur as a freestanding disorder, persist in patients after undergoing treatment for a psychiatric disorder, and function as a risk and exacerbating factor regarding psychiatric symptoms. Imagery Rehearsal Therapy (IRT) is a cognitive-behavioral-oriented treatment for nightmares and asks patients to identify an especially distressing nightmare and then works together with the patient on changing the nightmare to a more positive theme, story line, or ending. The new contents are then rehearsed using imagery techniques. IRT is often recommended by guidelines. However, IRT has not been investigated in a randomized controlled trial in the population of psychiatric inpatients. In this study, sixty inpatients with nightmares will be recruited from the inpatient units of the Psychiatric University Hospital Zurich (PUK). Participants will be randomly assigned to an Imagery Rehearsal Therapy (IRT) group or a Treatment As Usual (TAU) control group. Questionnaires and dream diaries will measure changes in nightmare frequency, nightmare distress, nightmare effects, nightmare content, overall sleep quality, dream experiences and believes, symptom severity of primary psychiatric diagnoses, and psychotherapy motivation and hopefulness one week and two weeks after one IRT or TAU session. The TAU group will receive a session in which potential problems with the dream diary will be discussed. Patients in the IRT group will be instructed to use imagery exercises with the new dream narrative for 10 to 15 minutes a day for the duration of the study period.
Many psychiatric patients are not sufficiently improved by current interventions. Functional magnetic imaging brain imaging (fMRI) has proven to be a promising method for predicting treatment outcomes in psychiatric treatment. Individuals moment-to-moment variability have not yet been evaluated as a predictor of treatment of three common forms of mental illness: depression, insomnia and health anxiety. The goal is to investigate whether objective measurements of brain function contribute to a better prediction of a patient's success in treatment than experiences and self-reports, e.g., treatment credibility and patients expectations about the treatment. The prediction model will be tested on internet-delivered CBT (iCBT) for depression, insomnia and social anxiety. Patients in each diagnostic group are asked for participation before treatment. The total number of participants in this study will amount to 225 participants. The goal is that 35% consists of healthy controls and that the remaining part is equally distributed between the three diagnostic patient groups. Being able to better predict how well a psychiatric treatment will work for an individual has great value from both an economic and a treatment perspective. The findings from this study may contribute to increased knowledge about neurobiological complications in mental illness. In the longer term, it can lead to improved routines and help in clinical decision-making when patients should be recommended treatment.
Cannabis use disorders are common among young adults in psychiatric treatment. Unfortunately, cannabis use can result in deleterious consequences for those in treatment, including developing more severe psychopathology and poorer treatment outcomes. Brief, electronic interventions for cannabis use have been developed for young adults. An example of a frequently used brief electronic intervention for cannabis users is e-Toke. e-Toke can be completed on a computer, tablet or phone, and has been shown to improve motivation to engage in substance use treatment among college students. However, e-Toke is less useful in decreasing the actual frequency of cannabis use. Additionally, e-toke is not tailored to young adults in psychiatric treatment. In this study, the investigators will develop and test a text messaging intervention that can be easily added to the popular computerized intervention e-Toke. The research staff hope the intervention will improve motivation to decrease cannabis use, and decrease the frequency of cannabis use, among young adults in psychiatric outpatient treatment. The text messages will be developed by, and tailored to, young adults in psychiatric treatment and texts will address motivations and barriers to reducing cannabis use in the context of psychiatric disorders. If the text message intervention is found to be an effective addition to e-Toke, this approach can be tested in a larger study, and then disseminated to other young adults in psychiatric treatment.
The Norwegian health authorities has initiated a three-year trial of telehealth solutions as part of the treatment of patients with chronic illness in the period 2018-2021. Within the trial, telehealth indicates that patients are followed-up outside health-care facilities using information and communication technologies (ICTs). Patients who are followed up using telehealth solutions can answer questions about their own health and/or perform measurements related to their health (e.g. blood pressure, blood glucose, oxygen measurement, weight) via a tablet according to a personalized schedule. The measurement values are transferred from the measuring devices to a tablet so that the users can easily see them and track their results over time. The results are also transmitted digitally to a follow-up service, a healthcare center with nurses, who contacts the patient when needed. The follow-up service provides medical support and guidance based on the patient's needs and planned follow-up, and will, in consultation with the user, evaluate whether the user should contact the general practitioner (GP) or emergency room. The study population of the trial includes users with comprehensive medical needs, with medium to high risk of worsening of their condition, hospitalization or increased need for health and care services. The evaluation includes three main parts: 1) An effect evaluation which is designed as a randomized control trial, 2) a cost-benefit analysis, and 3) a process evaluation which aims to provide recommendations for how to organize and implement telemedicine in clinical practice. The primary outcomes include physical and mental health state, patient experience and use of health services. The effect evaluation is designed as a pragmatic open label multi-center randomized control trial, with two parallel arms with 300 patients in each arm. Patients are recruited between February 2019 and June 2020.