View clinical trials related to Anxiety.
Filter by:The goal of this pilot study is to examine the feasibility of the prototype C-STRESS app with 3 college students from UCI with clinically significant depression (scored ≥ 10 on the Patient Health Questionnaire-9). The main question it aims to answer is: whether the prototype C-STRESS is useful for college students to manage daily stress and depression symptoms. Participants were asked to use the C-STRESS app daily for 6 weeks to participate in CBCT lessons, watch guided meditation videos, complete short reflective exercises, and engage with other content provided in C-STRESS (i.e., attending drop-in sessions, journaling, completing mood and wellbeing check-ins, and reading educational articles on depression, anxiety, and stress). At the end of week 3 and 6, participants completed 6 online surveys (System Usability Scale, Technology Acceptance Model, Patient Health Questionnaire-9, General Anxiety Disorder-7, Health Related Quality of Life-4, and Brief-COPE) to assess C-STRESS's usability/feasibility and changes in depressive symptoms and coping styles over the study period.
The purpose of this study is to demonstrate that the use of a virtual reality experience can decrease child and caregiver anxiety and pain for simple orthopaedic office procedures.
The Nu-V3 Clinical Study is a prospective, single-arm, open-label, multi-center study using the Nu-V3 cranial nerve stimulation treatment device in patients with chronic pain, anxiety, depression, and/or sleeplessness. For this Phase II study, a total of 100-200 patients at multiple centers will be registered for study participation. Study participants are those who have signed the informed consent form, met the inclusion and exclusion criteria, and are enrolled in the study at one of multiple sites. Enrolled participants are stratified based on their chronic pain, anxiety, depression, and/or sleeplessness symptom presentation at baseline and treated with the Nu-V3 device for 24 weeks. Interim analysis of reported data will be based on baseline stratifications and conducted at 6, 12, 18, and 24 weeks during this time. The participant will be evaluated after the initial 12-week treatment period to assess for further therapeutic need. Upon having three consecutive weeks of mean symptom reduction of ≥70% via patient reported numerical scales, the participant will continue as described in the study assessments table, but without device therapy. Then if the participant's primary symptom score increases at any time by ≥20%, they may again continue device therapy until week 24.
This study will examine whether a session of animal-assisted therapy reduces anxiety levels and improves long-term clinical outcomes of outpatient psychiatric patients in regard to their Generalized Anxiety Disorder (GAD-7), Patient Health Questionnaire (PHQ-9 - Depression assessment), Three Item Loneliness scale (TIL), and Mean Arterial Blood Pressure.
The goal of this longitudinal and observational study is to better understand the psychiatric consequences of COVID-19 over time. Psychiatric outcomes like mood, anxiety, stress, and cognitive symptoms in patients who underwent inpatient hospitalization at NewYork-Presbyterian Hospital/Weill Cornell Medicine for COVID-19 will be assessed at 6 months or later post-discharge.
The present IIT (Investigator-Initiated Trial) study is a prospective, randomised, placebo-controlled, double blind trial. Women hospitalised with signs of preterm birth can be recruited for the study. Participants will take study medication for 2 weeks (or until birth) and fill out a questionnaire at 3 time points (at baseline, after 1 week and after 2 weeks) to assess state of anxiety and sleep quality. Furthermore, information regarding adverse events and the further course of the pregnancy are recorded.
The proposed study aims to examine the effects of process-based therapy on 6 adult patients presenting for treatment at a university community outpatient clinic using a nonconcurrent multiple baseline design.
The purpose of this study is to assess how psychological stress and anxiety relate to bladder sensitivity and to psychological burdens in people with overactive bladder and how this can be measured effectively.
The purpose of this study is to compare a smartphone-based virtual reality exposure with standard relaxation training for anxiety and associated symptoms (including pain) on an inpatient psychiatric unit, and whether patients find it usable and beneficial.
Aiberry is creating a multi-modal artificial intelligence (AI) platform that analyzes facial, audio and text features to screen for mental illness. This multicenter study will be used to collect data to validate the platform's ability to detect depression and anxiety in a diverse patient population.