Active clinical trials for "Depression"

To assess the acceptability of a personalised ICT tool that facilitates coordinated care planning, treatment optimisation and patient self-management for patients with multiple long term conditions and their team of health professionals.

Depression is one of the most common conditions among primary care patients. Nevertheless, there are several problems in depression diagnosis, clinical management and outcomes. The INDI study, which is based in a collaborative care model, aims to improve the management of depression in primary care patients. It is intended to be implemented in clinical practice within the context of primary care.

Social networks, social capital, i.e., network-accessed resources, and neighbourhood environments have been shown associated with a range of health behaviours and conditions, including obesity, physical activity, nutrition, and mental health. Research on social capital and health in Montreal has shown the importance of network social capital for a person's subjective health status, sense of control, self-reported physical activity, and obesity. Research has also shown high social capital to reduce health service use, mental health service use, and improve the management of chronic illnesses. Despite advances in the understanding of social capital and its link to health and health service use, most research on social capital is cross sectional and is unable to identify the causal pathways linking social networks and capital to health and health care use. Longitudinal research would strengthen the evidence base for designing interventions to prevent or delay the use of health services, particularly in older adults. This research has three main objectives: (1) transform the original sample of Montreal Neighbourhood Networks and Healthy Aging (MoNNET-HA) households (n=2707) into a panel study, (2) link the MoNNET-HA participant data to their Quebec Health Insurance Registry (Régie de l'assurance maladie (RAMQ)) information, and (3) assess the feasibility of extending the MoNNET-HA panel by one wave to include participant's core network members. Unique about the original MoNNET-HA sample is that it purposefully oversampled older adults (> 64 years old) but remains representative of Montreal adults at various ages and income levels. In addition, MoNNET-HA data is integrated into a GIS database which allows researchers to examine the effects of neighbourhood environmental characteristics on health. By linking MoNNET-HA data to RAMQ, researchers will be able to examine patterns of diagnosed health conditions, (e.g., fractures, depression), pharmaceutical use and adherence, and formal health care use over time. Transforming the cross-sectional study into a panel study would also allow researchers to examine longitudinally the dynamics of health and health care utilization among Panel participants over the life course, and the causal pathways linking neighbourhoods and networks to health and health care use.

Studies have reported that the patient's psychological state such as anxiety, depression and other emotion affect the therapeutic effect of osteoarthritis, also may be the important reason for the poor knee joint osteoarthritis efficacy. The aim of this study are firstly to investigate the depression status of patients with osteoarthritis. Secondly, the study will aim to assess whether osteoarthritis progression will affect depression status, ultimately, provide reference for clinical.

The aim of this study is to investigate the changes in the retinal nerve fiber layer thickness of the patients with depression who received electroconvulsive therapy by means of optical coherence tomography.

In fact theWorld Health Organization estimates that 2-3% in general populations of countries across the world tend to be affected by severe mental disorders (1) Thrombolytic therapy seems to be of great importance in achieving better quality of life in ischemic stroke patients who respond to this therapy(rTPA).

The aim of the study is to identify symptom-level intervention targets for depression related to the COVID-19 outbreak. First, we will assess centrality indices of the network of depression symptoms plus mechanism variables derived from the metacognitive model of psychopathology measured at a period of strict social distancing protocols (T1). Then, we will examine whether change in the most central symptom and metacognitive variables are more related to overall symptom reduction from the period of strict (T1) to a period of lifted social distancing protocols (T2) three months later. On the basis of the results, interventions can be suggested that protect the general public against increased psychological suffering and dysfunction during society's handling of pandemics.

Central indicators of psychological functioning such as difficulties in emotion regulation and habitual problems in one's relating to others are likely to have been substantially impacted by the COVID-19 amelioration measures of societal lock-down and physical (ne social) distancing. In turn, as these amelioration measures have been relaxed, that impact will presumably be reduced, gradually returning these factors to pre-crisis levels. Also, these factors are likely to predict mental health outcomes such as symptoms of depression and anxiety throughout the pandemic and beyond, so that levels of emotion regulation difficulties and interpersonal problems early on will predict later symptom status. Similarly reductions in such difficulties during the various phases of the outbreak will be associated with a concurrent reduction in psychological symptoms and reduced symptom levels at later stages.

According to the survey of the World Health Organization, the number of patients with depression in the world has reached 350 million, has becoming the primary cause of disability and the main disease burden worldwide. In order to better dealing with adverse reactions, improving the doctor-patient relationship and optimizing the treatment cost, FIBSER, STAR-P and HEA Health Economics Follow-up Evaluation Scale are selected as simple and quick evaluation scales to evaluate the influence, doctor-patient relationship and social and economic benefits after drug treatment in clinical treatment. At present, the reliability and validity of FIBSER, STAR-P and HEA scales will be verified the reliability and validity of the above three scales in depressive disorder, aiming at enriching the treatment of depressive patients based on assessment, thus improving the compliance of medication for depressive disorder, improving the doctor-patient relationship and reducing the total burden of social diseases.

Background : Depression and Anxiety are linked to COVID (Coronavirus Disease)-19 long-term impact through several mechanisms. The possible way is the alteration of neurotransmitter regulation from the interaction of severe acute respiratory syndrome -Coronavirus-2 (SARS-COV2) with Angiotensin-Converting Enzyme 2 (ACE2) receptor, and Dopa Decarboxylase (DDC), an enzyme that associated with the production of dopamine, serotonin, and other neurotransmitters. However, some arguments exist that depression and anxiety occur naturally due to external stressors, as the impact of public health measures, and not associated with physiological changes due to viral infection. Objective: This study aims to identify whether the patient discharged after COVID 19 treatment has significant changes in serotonin and dopamine level which might induce depression and anxiety internally and, To distinguish external etiologies that might induce depression and anxiety such as social isolation and stress due to public health restriction. Method: A prospective longitudinal study of people with the interest exposure is COVID 19 and the primary outcome is Depression, Anxiety, and Neurotransmitter level Hypothesis: People with a previous infection of COVID 19 have a significant difference in neurotransmitter level over time and compared to non exposed group and a higher prevalence of anxiety and depression.