1,094 Clinical Trials for Various Conditions
The research team would like to test how efficacious an artificial intelligence chatbot is in delivering supportive behavioral interventions in populations with anxiety, depression, or eating concerns.
This study is designed to evaluate the safety and efficacy of exosome deployment with concurrent transcranial ultrasound in patients with refractory, treatment resistant depression, anxiety, and neurodegenerative dementia.
This clinical trial tests how well a three-dimensional (3D) mindfulness virtual reality (VR) versus (vs) two-dimensional (2D) non-immersive interventions works in improving depression, anxiety, pain, and/or stress in patients with head and neck cancer (HNC) undergoing radiation or chemoradiation (C/RT), and their caregivers. HNC patients undergoing C/RT can experience higher levels of depression, anxiety, distress and pain that negatively impact their quality of life. VR allows for a realistic experience and works as an effective distraction tool from the state of pain or anxiety without use of drugs and with minimal associated risk to patients. VR has been shown to help reduce symptoms of depression, anxiety and pain in non-cancer patients, however there is limited evidence of how well VR use works in cancer patients, especially in patients undergoing C/RT for HNC. Caregivers of these patients also experience high levels of anxiety and distress. Using VR interventions may improve depression, anxiety, pain and/or stress in patients with HNC undergoing C/RT and their caregivers.
The purpose of this research study is to test whether an animal-assisted intervention (AAI) is better than conversation with another person or treatment as usual for improving mood, anxiety, loneliness, quality of life, and indicators of health care services such as number of hospitalizations, length of hospital stay, and cost of services for children and adolescents.
Two-arm, parallel group randomized clinical trial conducted via Mturk comparing a single-session web-based intervention called Visitor Mindset versus a control intervention (nature videos with relaxing music) for adults with depression and/or anxiety symptoms
This study seeks to examine if there is any relationship between spironolactone use prescribed for acne vulgaris and depression, anxiety, and/or sexual function.
The aims of this study are to test the effectiveness and acceptability of internet-delivered treatment for depression, anxiety and stress in university students. These data will inform the methods for a future randomized controlled trial. The trial will establish an initial estimate of the effectiveness of these online interventions for students in terms of within-group effect sizes associated with changes in depression, anxiety and stress from pre to post-intervention and follow-up. These data will be used to estimate the sample size for a future trial to ensure that the study is sufficiently powered. A conservative estimate using the 90% upper confidence limit will be used to inform the sample size calculation of the definitive RCT. Acceptability of the intervention to participants will be assessed using data on usage and engagement with the intervention (e.g. percentage of participants completing each module, average number of log ins, average time spent per session and total time spent on the program). These data are acquired through the online SilverCloud system. Satisfaction with will be assessed through the use of a post-intervention questionnaire on satisfaction with accessing and using an online delivery format for treatment.
Study objective is to compare neuropsychiatric adverse events in subjects treated with varenicline or placebo in a controlled setting where both groups are experiencing nicotine withdrawal.
Many older adults have undetected health problems and lack basic prevention measures. Failure to identify and treat these conditions can lead to unnecessary morbidity and mortality and a decreased quality of life. Traditional screening and intervention programs, usually based in primary care providers' offices, have been insufficient, particularly in medically underserved populations. Alternate sites for screening and intervention have begun to receive attention and may hold promise. The emergency department (ED) is the entry point for access to medical and social services for many patients and has the potential to serve as a site to identify older adults with unmet needs. However, we do not know the prevalence of depression and cognitive impairment and how they differ by mode of arrival of the patient to the ED. Second, a question remains as to the validity of screening patients during an acute illness. Upon completion, this study will describe the epidemiology of the population of older adults presenting to the ED.
This study will test a new cognitive-behavioral skills training program (CBI) delivered in the metaverse. Although initial evidence suggested CBI was feasible for individuals experiencing depression or anxiety, CBI's effectiveness compared to no intervention has yet to be determined. The intervention may be delivered through virtual reality as well as flat-screen devices, such as a computer, which may also affect CBI's effectiveness. The study will enroll up to 306 participants with depression. One third of the participants will access CBI through virtual reality, one third of the participants will access CBI through a flat-screen device, and one third of the participants will be asked not to attend CBI sessions for the first 8 weeks of participation of the trial. For both CBI conditions, treatment will be provided over 8 weeks, with a 6-month follow-up period. Enrollment will be ongoing and groups will occur simultaneously. Potential participants are asked to complete an initial screening and an intake evaluation to determine eligibility. They will then receive 8-weeks of treatment. Participants will complete brief weekly self-report questionnaires throughout their time in the study.
Generalized anxiety disorder is a mental health disorder characterized by feelings of tension and worry with physical symptoms including increased blood pressure. Approximately 20% of US adults reported an anxiety disorder in the past year and an estimated 31% of US adults reported anxiety at some time in their lives. Anxiety can be experienced throughout one's life and levels of anxiety can increase with stressful life events, physical health conditions, and medication use. Chronic, untreated anxiety has been linked to headaches, dizziness, depression, high blood pressure, heart disease, digestive disorders, and a worsened immune system - greatly impacting one's overall quality of life (QOL). Anxiety and depression are highly comorbid, with approximately 50-60% of those with anxiety symptoms also experiencing depression symptoms. Experiencing these disorders and symptoms comorbidly may further worsen one's mental health and overall QOL. Untreated, chronic depression can heighten symptoms of depression leading to increased risk of heart disease, sleep disruptions, weight gain/loss, a weakened immune system, physical pains, and suicide attempts. Anxiety and depression are commonly treated using various psychotherapeutic techniques including cognitive behavioral therapy (CBT) and acceptance and commitment therapy techniques administered by a licensed therapist. However, therapy has many barriers to treatment including insurance not covering treatments, overall treatment cost, unsure where to seek treatment/no access to a therapist, and therapy being unavailable and inconvenient due to scheduling during the workday. As such, app-based mental health tools have increased in popularity to improve access and affordability to effective mental health treatments. The purpose of the study is to examine the effectiveness of a guided anxiety/depression app-based program by Headspace, which uses CBT with mindfulness to improve anxiety and depression symptoms in a population with elevated baseline anxiety and/or depression. The study will employ a 2-arm app-based intervention involving 1 active intervention and a waitlist control for a duration of 3 weeks, followed by a 3-week follow-up assessment.
This mechanistic study uses an anti anxiety drug and brain imaging to study the threat processing system and associated brain circuits in people with depression, anxiety disorders and comorbid depression and anxiety disorders. In a double blind, placebo controlled crossover design, up to 65 individuals will be recruited who will have a diagnosis of major depressive disorder (MDD) and at least one anxiety disorder (AD) (AD-MDD group), up to 65 participants will have a diagnosis of MDD and no diagnosis of an AD and up to 65 participants will have no diagnosis of MDD and a diagnosis of at least one AD will be enrolled to participate in an two session study to obtain 150 completers (50 per group). All participants will receive a single dose of Lorazepam and placebo (order randomized) taken orally. After the \~2.5 hr screening session, participants will complete two identical \~5 hr experimental sessions, each of which include a 30 min eyeblink startle session and a 1.5 hr functional magnetic resonance imaging (MRI) brain scan session. The total time involved in the study is approximately 10.5 hours. The main questions the study seeks to answer are: * are people with comorbid depression and anxiety different than those with depression alone in terms of their eyeblink startle response to threat? * are people with comorbid depression and anxiety different than those with depression alone in terms of their brain activation in response to threat? * are people with comorbid depression and anxiety different than those with depression alone in terms of their responses to anxiety drugs?
This study capitalizes on an opportunity to formally evaluate local adaptations of "Keeping Foster and Kinship Parents Supported and Trained" (KEEP), an evidence-based foster parent intervention, to reduce mental health disparities among child welfare-involved youth and improve care quality and long-term outcomes for Native, Hispanic/Latino, Black/African American, and sexual and gender minority youth. The knowledge gained from the study will impact all current and future large-scale implementations of KEEP and will bolster our scientific understanding the impact of KEEP on youth mental health outcomes.
This efficacy trial will evaluate the impact of an enhanced version of the Interconnected Systems Framework (ISFE) on elementary school-based team functioning, including use of evidence-based practices, and student emotional, behavioral, and academic functioning. The original interconnected systems framework (ISF) model was designed to improve the depth and quality of mental health services delivered within multi-tiered systems of support by integrating Positive Behavioral Interventions and Supports (PBIS) and school mental health (SMH) efforts to provide a continuum of high-quality services for students. Preliminary findings from a prior efficacy study show that the ISF improved team functioning and increased identification and services for students in need, particularly among youth of color, when compared to the other two conditions. Moreover, the ISF led to improvements in student social, emotional, and behavioral functioning. The current study builds on these findings by testing an enhanced version of the ISF designed to advance the model by adding/modifying several core components intended to further increase the impacts for youth with significant emotional and behavioral problems and reduce inequities in discipline and student service delivery.
The present study aims to determine the effect of presenting psychoeducation emphasizing "growth-mindset," and information on depression and anxiety symptom severity. The investigators hypothesize that psychoeducation emphasizing that mental health is malleable will increase the participant's engagement with risk factors outlined in the intervention
Sub-clinical behavioral health services in the military are performed by BH technicians, who receive minimal training. Due to this, embedding more technicians in military units is unlikely to benefit service members. Giving technicians training in, and access to, evidence-based interventions (EBI) could make their work more effective. The proposed study is a training trial examining the efficacy of the full integrated operational support (IOS) toolkit (evidence-based interventions for behavioral health), relative to routine care using standard resources, as a prevention resource for active-duty airmen.
This project will examine changes in depression and anxiety following a 10-week intervention promoting nature-based physical activity in mental health settings. We will recruit ten licensed therapists whose caseload includes adults with depression and anxiety. Following a training by our team, each participating therapist will recruit six clients, who will be randomly assigned to the intervention or control condition. Clients in the intervention condition will engage in walk-and-talk therapy outdoors during weekly sessions and discuss strategies for being active outdoors on their own. We will assess changes in depression, anxiety, and nature-based physical activity in both groups.
Participants will be recruited to complete self reported surveys normally used as standards of care for screening and monitoring depression and anxiety symptom severity, provide a voice sample composed of an answer to open ended questions and then be assessed by a mental health professional using structured and clinically validated assessment tools for depression and anxiety. Their voice will be analyzed by machine learning models that predict the severity of depression and anxiety symptoms. The models' performance will be compared to the clinician assessments and how that correlation compares to a similar comparison between the clinician assessments with the self reported surveys. It is hypothesized that the performance of the machine learning models in assessing the severity of depression and anxiety symptoms is no worse than the self reported surveys when both are compared to clinician assessments. It is also hypothesized that presence or absence of the diagnoses of Major Depressive Disorder and Generalized Anxiety Disorder can be predicted better than chance by the analysis of the participant's voice sample using machine learning models.
The investigators examined whether brief, app-based interventions were helpful in alleviating mental health symptoms during the transition to college. In particular, the investigators were interested in whether a brief mobile-app mindfulness intervention combined with mood monitoring was more effective in alleviating first-year students' psychological distress than mood monitoring alone.
The goal of this clinical trial is to test a brief, behavioral telehealth treatment program (STEP-UP) for depression and anxiety in youths (age 8-16 years old). Youths and families will be recruited through participating community health centers and will be randomly assigned to either: (a) receive STEP-UP care from providers at their health center or (b) be referred to care from local community mental health clinicians. Youth and families will be interviewed before treatment starts, 16 weeks later, and 24 weeks later to assess how youth are feeling. The main question the study aims to answer is whether STEP-UP improves youths functioning in daily life, anxiety symptoms, and depression symptoms. Researchers will compare STEP-UP to referral to community treatment-as-usual mental health services to see if STEP-UP is more effective.
The overarching goal of this study is to establish initial proof of mechanism for precision interventions in an adult population.
To learn about the feasibility, safety, and effects of psilocybin-assisted psychotherapy on depression and/or anxiety in participants who are being treated for advanced cancer.
Participants will use Amazon Alexa to test a new voice-assisted program for mental health management. The participant will use this program to help with goal setting, reminders, and various other services. The participant may be supported by a caregiver, if available, or by research team member who will serve as a coach for the duration of the study to guide them with using the program. Participants will be asked to complete surveys and assessments about their experiences during the 12-week study period. Participants will be randomized into two groups: those who receive a guide to help them with utilization of the program to its fullest potential and those who do not receive that guide.
For this project the broad research objective is to evaluate the effectiveness of an enhanced digital wellbeing program in improving well-being, depression, anxiety, stress, resilience, and job satisfaction of physicians. The intent of the investigators is that this will enable a proactive culture of well-being and mental health support for the broader healthcare workforce during the multiple phases of the pandemic. The investigator's approach evaluates existing digital models which can be executed in a timely fashion and rapidly scaled for use across other health systems. Aim 1: Conduct interviews of URM and women physicians to identify barriers and facilitators to accessing and receiving digital well-being, mental health, and culturally sensitive support resources. Aim 2: Through a randomized controlled trial (RCT) investigate the immediate and long-term effect of a comprehensive well-being focused intervention (push text messaging, resource support, semi-facilitated peer groups hosted by Cobalt) vs. usual care on well-being, depression, anxiety, stress, resilience, and job satisfaction of physicians practicing in the era of COVID.
This is a research study to find out if mental health symptoms in patients admitted to the Institute of Psychiatry are affected by a form of ear stimulation called transcutaneous auricular vagus nerve stimulation, or taVNS. Participants will receive ear stimulation during their inpatient treatment at the Institute of Psychiatry. Participants will be randomly assigned to either receive ear stimulation for 1 day (up to 9 treatments over the course of a single day) or 3 days (up to 3 treatments per day), and will have a 50:50 chance of being in either group (like the flip of a coin). Each treatment will last up to 30 minutes and there will be a break of at least 30 minutes in between treatments. The study team will ask participants to complete a group of questionnaires at the beginning and end of the study. In addition, there are several questionnaires that will be completed daily while participants are receiving ear stimulation. Participants in the 1 day stimulation group will also receive 2 days of follow up questionnaires after the initial day of stimulation. The questionnaires will ask questions about mental health symptoms that subjects may or may not be experiencing, including questions about mood, anxiety, and sleep. The ear stimulation treatments will not interfere with the care subjects are receiving from the medical team. In order to qualify for this study, participants must be actively receiving inpatient care at the MUSC Institute of Psychiatry.
Investigators will evaluate the implementation of an evidence-based, Spanish-language, digital, cognitive-behavioral therapy intervention (SilverCloud) in primary care settings for Latino patients with depression and/or anxiety. 426 participants will be enrolled in a two-armed trial comparing self-guided vs. supported dCBT (SilverCloud). At the provider level, investigators will compare the efficacy of provider referrals with the use of a clinic patient registry to identify candidates who could benefit from a digital mental health intervention.
The Kintsugi Voice Device Pilot Study is a two arm pilot diagnostic accuracy study. Eligible enrolled participants will complete the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) instruments, as well as complete a remote video-recorded Structured Clinical Interview for the Diagnostic and Statistical Manual for Mental Disorders-5 (SCID) with a trained psychiatrist. This study seeks to evaluate the ability of the Device to aid clinical assessment for depression and anxiety by comparing its output with the established diagnostic standard consisting of a diagnosis made by a specialist clinician based on DSM-5 criteria. The order of the assessments will be randomized. Audio captured during the SCID interview will be inputted into a machine learning model to determine the diagnostic accuracy of the Kintsugi Voice Device.
The goal of this study is to refine and test a strategy for engaging veterans with symptoms of depression and/or anxiety as volunteers to help English language learners (ELLs) improve their speaking skills via structured conversations using videoconferencing.
The objective of this study is to collect data to improve the sensitivity and specificity of Kintsugi Voice's (formerly KiVATM) predictions on audio files. A web-based audio recording tool will be used to record voice sample and ask participants the PHQ-9 and GAD-7 questions. A voluntary subset of participants will then be assessed by mental health professionals with the Hamilton Depression Rating Scale (HAM-D) and Hamilton Anxiety Rating Scale (HAM-A) scores.
The goal of this study is to evaluate in an effectiveness-implementation type I hybrid trial, an enhanced version of eHealth Familias Unidas for reducing depressive, anxious symptoms and suicide behavior in Hispanic youth. The study will use a randomized rollout design with 18 pediatric primary care clinics in the South Florida area.