View clinical trials related to Depression Moderate.
Filter by:The aim of the study is to compare the effects of the self-regulation (neurofeedback) of the fMRI signal of the prefrontal cortex in depression to ones of more conventional non-pharmacological treatment, primarily, psychotherapy.
The overall objective of this study is to develop a feasible and acceptable mental health app which delivers Cognitive Behavioral Therapy (CBT) for depressed patients in the Dominican Republic. This proposal meets the research objectives of NIMH in delivering mental health care to populations with low literacy, and supporting health care systems in monitoring and improving the quality of mental health. In the proposed study, the investigators will upgrade, implement, and evaluate a depression treatment app and assess trained facilitators' capacity in managing participants' depression symptoms using the app. The investigators will conduct a randomized controlled trial (RCT) among 120 participants who screen positive for mild to moderate depression or anxiety on the Patient Health Questionnaire (PHQ-9) or GAD- 7 via a university-based Covid mental health hotline. The app, El Buen Consejo Móvil (EBCM), will be downloaded to the participants' own Android phone. Participants will be randomized to receive the EBCM app with the functionality to connect individuals to one another via a facilitator-guided chat room (ECBM-G; n= 60) or to receive the same contents as an individualized facilitator-guided CBT program without the group functionality (ECBM-I; n=60). Recruitment and mixed-methods data collection will be conducted by phone, given current circumstances surrounding the Covid-19 pandemic. Process outcomes will be evaluated for the trained facilitators. The primary outcomes for app users will be acceptability of the app and perceptions of social interactivity for those randomized to the group condition. Validated questionnaires will be administered to measure perceived emotional support, loneliness, and interactivity. Level of adherence and effectiveness, the secondary outcomes, will be assessed by frequency of interaction with the app, completion of treatment for either treatment modality, and change in depressive symptoms. The investigators hypothesize that the use of the app for guided self-help can be enhanced through group interaction. EBCM can result in increased access to care in low-income community settings where patients are not currently receiving treatment due to logistical barriers and the stigma of seeking care in a mental health care setting.
This 6-month, naturalistic cohort study examines male and female inpatients aged 18 to 75 years i) with any form of unipolar depressive episode (cohort 1); ii) clinical diagnosis of a moderate or severe unipolar depressive episode and suicidal tendencies who agree to participate in a prospective study (cohort 2); and moderate or severe unipolar depressive episodes validated by research interviews and and suicidal tendencies that persist for at least 48 hours after admission who are followed up for 6 months (cohort 3).
A vast amount of studies show that online interventions are suitable to reduce symptoms of mental illness as for instance depression or anxiety. However, participants who use online interventions are more likely to drop out of treatment compared to face-to-face interventions. It is important to enhance adherence to online interventions so that participants engage longer in the programs. Also, as online interventions are useful to reduce the burden of mental illness, it is of interest to further improve outcomes of such interventions. Therefore, it will be investigated in this study whether or not four different factors have an impact in fostering adherence to and improving outcome of an internet-based self-help intervention based on problem-solving therapy. A multifactorial design will be used for this study to screen simultaneously whether or not i) a diagnostic telephone interview and, ii) an educational module based on motivational interviewing prior to the intervention and iii) guidance by the study team, and iv) automated e-mail reminders during the study are active factors in enhancing adherence to and outcome of online interventions.
This study seeks to correlate microbiome sequencing data with information provided by patients and their medical records
The university environment presents a valuable opportunity to reach the young population of society, which has a high risk of depression, and to provide protective mental-health services. This study aimed to evaluate the effectiveness of cognitive behavioral therapy-based group counseling focused on the depressive symptoms, anxiety levels, automatic thoughts, and coping ways among undergraduate nursing students with mild to moderate depressive symptoms.
The aim of this study is to determine if altering the pattern of one's sleep and having light therapy can speed up the treatment of depression. In the UK, the large majority of patients with depression in the NHS are treated in the community, and one of the major objectives of the study one is to determine if this therapy is a practical treatment in the community. We will be comparing two treatments: 1. Sleep Therapy and a Light Box: Participants will be given information and advice on how to get a good night's sleep. Participants will be given a light box to use in the morning for 1 week. Treatment with a light box will last 30 minutes when a person gets up. Participants may continue to have any treatment as usual (for example medication or talking therapies). 2. Wake therapy and a Light Box: Participants will be helped to change the pattern of sleep by depriving participants of sleep for one night. Participants will go bed at 5pm on the following day for 8 hours and get up at 1am. Participants' sleep will then be advanced by 2 hours each night for the next three nights. Participants will be also given a light box to use in the morning for 1 week. Treatment with a light box will last 30 minutes when participants get up. Participants may continue to have any treatment as usual (for example medication or talking therapies).