Active clinical trials for "Depression"

This randomized control trial (RCT) aims at comparing the efficacy of self-help cognitive behavioural therapy for insomnia (CBT-I) and self-help cognitive behavioural therapy for depression (CBT-D) on comorbid depression and insomnia. It addresses the research gap of treating comorbid depression and insomnia with a transdiagnostic approach (i.e., CBT-I) rather than a disorder-specific approach (i.e., CBT-D). Insomnia is a transdiagnostic process that is common to many psychiatric disorders. It is not only a symptom for depression, but also a factor that contributes to the onset and maintenance of depression. There were limited studies comparing the efficacy of self-help CBT-I to self-help CBT-D among adults with comorbid insomnia and depression (e.g., Blom, 2015). Hence, this study will serve as one of the pioneering attempts to elucidate the role of self-help transdiagnostic insomnia therapy in reducing depressive symptoms. Prior to all study procedures, eligible participants will be required to complete an online informed consent. Around 100 eligible participants aged between 18 and 65 with a Patient Health Questionnaire-9 score ≥ 10 indicating at least moderate level of depressive symptoms and Insomnia Severity Index (ISI) score ≥ 10 indicating clinical level of insomnia symptoms will be randomly assigned to either Internet-based CBT-I (n = 50) or Internet-based CBT-D (n = 50) in a ratio of 1:1. Eligible participants in the CBT-I group will receive the intervention "iSleepWell" via the a digital mental health platform Next Stop, Wellness! for 6 consecutive weeks, whilst the CBT-D group will receive the intervention 'LIFE FLeX' via the same platform for 6 consecutive weeks. The outcomes of interest include depressive, anxiety, and insomnia symptoms, functional impairment, quality of life, intervention credibility and acceptability at baseline (Week 0), immediate post-treatment (Week 7), and 12 weeks follow-up (Week 19) assessments.

Depression is the most common mental disease and the second leading cause of chronic disease burden, which is closely related to suicidal behavior. The diagnosis and treatment of depression still lack of effective biological indicators, and about 30% of patients with depression still can not relieve their depressive symptoms after treatment. Previous studies have found that ATP release from astrocytes plays an important role in the occurrence, development and treatment of depression. Epoxy eicosotrienes (eets) are closely related to the function of the nervous system and may be the pathophysiological mechanism of depression. Soluble epoxide hydrolase (SEH) can regulate ATP release by affecting EET degradation, leading to depression like behavior and antidepressant effect, and sEH is closely related to cognitive function of depression.

Measurement-based care (MBC) is an evidence-based practice that incorporates routine outcome assessment using validated rating scales to guide collaborative clinical decision-making. Although MBC results in improved outcomes for patients with major depressive disorder (MDD), there are barriers to its broad implementation in clinical settings. The use of "enhanced" MBC (eMBC), with mobile apps that allow patients to track outcomes and engage in self-management via WeChat, may address some of these barriers. This study intends to compare differences of efficacy between the implementation with eMBC using WeChat and the standard MBC implementation using paper-pencil assessments at the clinic, for both implementation and clinical outcomes.

For patients with treatment-resistant depression (TRD), a single low dose of intravenous (IV) ketamine can help relieve symptoms as quickly as 24 hours later. The main problem with IV ketamine for TRD is that the effect is short-lived, lasting only days to 1 or 2 weeks. Furthermore, IV ketamine is a resource-intensive treatment, and the safety of long-term, repeated use for depression is unknown. To provide this treatment in a safe and cost-effective way, Investigators must allocate it efficiently to those patients who have the greatest need and probability of benefit. Therefore, this project aims to find clinical features (signs, symptoms, and parts of a patient's history) that will help predict which patients are most likely to respond to a single dose of IV ketamine for TRD. This will help guide patient selection and triaging. Investigators will recruit 40 participants with TRD over one year, and randomize them to one of two conditions (ketamine followed by an active placebo 3-weeks later, or vice versa). With clinical data collected through detailed interviews and questionnaires, this study design will let us evaluate how well such factors predict (A) rapid response at 24-hours, and (B) sustained response at 7 and 14 days.

Patients with depression with sleep problems have functional abnormalities of 5-HT and NE neurotransmitters, and the NaSSA class antidepressant mianserin has an ameliorative effect on sleep problems along with antidepressant. However, whether mianserin can improve cognitive function in patients still needs to be explored. The benzodiazepine lorazepam can play a central inhibitory role and has good therapeutic effect on insomnia. The mechanism of action of mianserin and lorazepam is different, and there are few comparative studies related to the combination of the two with SSRI drugs for the treatment of depressed patients with sleep problems, and it is unclear whether there are differences in their efficacy and safety. Therefore, to address the above scientific questions, this study was designed to include 100 patients aged 18-60 years with depression with sleep problems, randomly divided into two groups and treated with mianserin + escitalopram or lorazepam + escitalopram, respectively, and followed up for 8 weeks to assess depression and anxiety symptoms, sleep, cognitive function and drug safety. To compare the efficacy and safety of the two regimens in depressed patients with sleep problems and to provide a scientific basis for clinical intervention in depressed patients with sleep problems.

The goal of this intervention study is to design and learn whether peer support that is delivered through video chats and texting can decrease depression among older adults. Participants will be assigned to a peer support program where they will receive 8 video chats with a peer mentor who provide social support and supportive texts over 8 weeks.

Background: The COVID-19 pandemic has impacted the mental health of workers of Assisted Living Facilities (ALFs). This study combines two low-intensity psychological interventions developed by the World Health Organization (Doing What Matters [DWM] and Problem Management Plus [PM+]) into a stepped-care program for workers of ALFs. Objective: To evaluate the implementation of an stepped-care program (DWM; PM+) amongst workers of ALFs during the COVID-19 pandemic in terms of mental distress, resilience and wellbeing. Study design: A randomized controlled implementation trial with an single-blinded, parallel-group design. Study population: Workers of ALFs with self-reported elevated psychological distress. Intervention-study: All participants (in both the treatment and the comparison group) will receive Psychological First Aid (PFA) and care as usual (CAU). In addition to PFA and CAU, the treatment group will receive the stepped-care intervention (DWM with or without PM+). The stepped-care intervention consists of DWM (step 1) and conditionally PM+ (step 2) if participants still meet criteria for psychological distress (Kessler Psychological Distress scale (K10) >15.9) 1 month after having received DWM. Main study parameters/endpoints: Screening for inclusion and exclusion criteria will be interviewer-administered through phone calls. All assessments will be online and will take place at baseline, 2 weeks after having received DWM, 1 week after having received PM+ and 2 months after PM+. The main study parameter will be the decrease of anxiety and depressive symptoms from baseline to two-month follow-up, measured through the sum score of the Patient Health Questionnaire (PHQ-9) and General Anxiety Disorder-7 (GAD-7), i.e. the PHQ-Anxiety and Depression Score (PHQ-ADS).

Based on Preliminary Studies (PSs), the research team developed and pilot-tested an evidence-based Web App-based information and coaching/support program for cancer pain management (CAPA) that was culturally tailored to Asian American breast cancer survivors using multiple unique features. However, CAPA rarely considered depressive symptoms accompanying pain in its design or components, and PSs indicated the necessity of further individualization of the intervention components of CAPA due to diversities in the needs of ABD. The purpose of the proposed 2-phase study is to further develop CAPA with additional components for ABD and the individual optimization functionality (CAI) and to test the efficacy of CAI in improving cancer pain experience of ABD. The specific aims are to: a) develop and evaluate CAI through an expert review and a usability test (R61 phase); b) determine whether the intervention group (that uses CAI and usual care) will show significantly greater improvements than the active control group (that uses CAPA and usual care) in primary outcomes (cancer pain management and cancer pain experience including depressive symptoms) from baseline to post 1-month and post 3-months; c) identify theory-based variables (attitudes, self-efficacy, perceived barriers, and social influences) that mediate the intervention effects of CAI on the primary outcomes; and d) determine whether the effects of CAI on the primary outcomes are moderated by selected background, disease, genetic, and situational factors. This study is guided by the Bandura's Theory and the stress and coping framework by Lazarus and Folkman. The R61 phase includes: (a) the intervention development process, (b) a usability test among 15 ABD, 15 family members, and 15 community gatekeepers; and (c) an expert review among 10 experts in oncology. The R33 phase adopts a randomized repeated measures control group design among 300 ABD. Long-term goals are: (a) to extend and test CAI in various healthcare settings with diverse subgroups of ABD, (b) examine the costeffectiveness, sustainability, and scalability of CAI in the settings, and (c) translate CAI into health care for ABD.

Mild cognitive impairment (MCI) leading to Alzheimer's disease and related disorders (ADRD) represents a significant health and economic burden of the rapidly expanding senior population. The accurate detection and diagnosis of MCI and its common comorbidity, late-life depression (LLD), is essential for prolonging patient quality of life and developing advancements in research and treatment options. The purpose of the proposed program is to refine Miro Health's A.I. to accurately detect, differentiate and diagnose MCI and LLD.

The goal of this randomized control group is to learn about effective treatments for college students experiencing anxiety and/or depression. The main questions this clinical trial aims to answer are: 1) Can alternative treatments decrease anxiety and/or depression among college students? 2) Can alternative treatments increase retention rates among college students experiencing anxiety and/or depression? Participants will be randomly assigned to one of three intervention groups: external qigong, mindfulness meditation, or psychoeducation. Researchers will compare outcomes from each group to explore treatment differences.