View clinical trials related to Depressive Disorder.
Filter by:This study evaluates the impact of a longitudinal remote consultation (LRC) implementation strategy for collaborative care depression treatment among perinatal women. All participating health centers will receive training in collaborative care. Cluster randomization will be used to assign the addition of LRC to select health centers. Differences in implementation success, clinical outcomes, and costs will be compared after a 12 month implementation period and 13-21 month sustainment period.
The overall goals of this project are to assess the feasibility and impact of designing and implementing an at-home intervention aimed at preventing long-term cognitive decline and improving cognition in individuals currently at-risk for developing AD.
This pilot study aims to investigate the potential role of transcranial direct current stimulation (tDCS) in the treatment of treatment-resistant major depressive disorder (MDD). tDCS is a noninvasive brain stimulation technique which has been utilized for the treatment of major depression in several studies, both as a primary and adjunctive treatment. The treatment will be administered under the supervision of a physician with experience in administering the treatment and monitoring for complications. This will be a prospective "adaptive tDCS stimulation" open label research study. Participants will receive 20 minute sessions of up to 4 milliamps (mA) transcutaneous electrical stimulation sessions over 4 to 6 weeks. Building on the theory that greater current "dose" may be a significant factor in determining efficacy, this study aims to determine whether higher tDCS current doses lead to greater improvements in depressive symptoms in this population of patients with treatment-resistant major depressive disorder.
Major depressive disorder (MDD) affects around 7% of the population yearly. Although effective treatments are available, only around half of all patients participating in clinical trials respond to 6 to 12 weeks of antidepressant treatment. Given these high failure rates, the ability to predict as early as possible whether a patient is (un)likely to respond would be of great value, as it would enable physicians to change treatment strategies faster. Early improvement has consistently been found to be a strong predictor of later response. However, misclassification is still quite common, with perhaps a third of those who do not show early improvement going on to respond. Conversely, a substantial proportion of those who do show early improvement do not go on to respond. One possibility for improving the predictive power of early improvement is to examine individual symptoms, rather than the total score on a depression rating scale. Some items, for example, could reflect antidepressant side effects (e.g. gastrointestinal symptoms) and may not be very predictive. The proposed project aims to examine the relationship between early improvement in individual symptoms and response to antidepressants in a very large patient sample. This large sample size makes it possible to use more rigorous methods than previous studies, such as the use of cross-validation to confirm the findings. It also makes it possible to examine a large set of predictors, including possible interactions among early-improving symptoms and between symptoms and demographic factors like age and gender. The added value of individual symptoms over and above using the total symptom score alone will also be examined, as well as possible differences between different antidepressant classes. The project will use penalized (lasso) regression, which is well-suited to analyzing data with a large number of (potentially highly correlated) predictors. In the primary analysis, response after 6 weeks of treatment will be predicted. In secondary analyses, remission at week 6 and response and remission at week 12 will also be predicted.
Suicide, suicide attempts and depression are major social problems. The present research program focuses on the relationship between electrodermal hyporeactivity, as measured by the ElectroDermal Orienting Reactivity (EDOR) Test, and suicide and suicide attempts with death intent in patients with a primary diagnosis of depression. Electrodermal hyporeactivity has in several publications from different laboratories repeatedly been shown to have a high sensitivity (up to 97%) and high raw specificity (up to 98%) for suicide. Such levels are unique in psychiatry. The relationship between suicidal propensity and hyporeactivity can be considered as strongly significant. Almost all evidence in the topic up today has been established in research settings with specific exclusion criteria for some secondary psychiatric and some somatic illnesses. However, it is important to study the relationship between electrodermal hyporeactivity and suicide in relatively unselected patients regarding secondary psychiatric diagnoses and somatic diagnoses in a natural clinical ward situation and milieu. A previous naturalistic study proved that a test of electrodermal hyporeactivity fits very well into the daily clinical work.
Suicidal behavior (SB) is a public health problem. The clinical model currently admitted to the understanding of SB is a stress vulnerability model, but so far, all scientific works has no clinical application. The management of psychiatric patients, including depressed subjects, faces the inability to detect those with a high risk of SB. Many studies have shown a link between low cholesterol and SB. A study has recently proposed a total cholesterol threshold below which the risk of suicide could be increased. However, a prospective study is needed to assess the predictive nature of such an indicator.
This is a closed-loop system which is embodied in a novel and intelligent algorithm that takes into account patients' vital signs. The system allows better and responsive titration of personalized pain relief together with non-invasive physiological monitoring that measures oxygenation, breathing and heart rate continuously.
The study is an investigation to assess the capacity of ascending doses of CX1739 to antagonize the respiratory depressive effect of remifentanil. The study will also investigate whether ascending doses of CX1739 reduce the analgesic effect of remifentanil or alter the BIS measure of sedation and will evaluate the safety of CX1739 when used in conjunction with remifentanil.
This study will assign patients to two types of psychotherapies in treating people with a major depression disorder, expressive versus supportive techniques, and will examine their ability to benefit from treatment based on their attachment orientation. This is a four month protocol, with a year follow up period, will compare patients receiving supportive-expressive treatment with either expressive focus or supportive focus.
Integrating mental health treatments into the primary care delivered at Community Based Outpatient Clinics(CBOCs) that are geographically accessible to rural Veterans is a major priority for the Department of Veterans Affairs. However, there is no scientific evidence that integrating mental health and primary care is clinically effective at smaller CBOCs that have limited mental health staffing. The goal of this proposed project is to implement a "blended" combination of integrated care models that have been adapted for smaller CBOCs using telemedicine technologies, and evaluate the acceptability and effectiveness of the blended, telemedicine-based, integrated care model. If clinical outcomes are improved compared to usual care, findings will be used to justify and facilitate the implementation of this telemedicine-based integrated care model at smaller CBOCs in order to increase rural Veterans' access to effective mental health treatments.