View clinical trials related to CBT.
Filter by:Cancer related fatigue (CRF) has been defined as a "distressing, persistent, subjective sense of tiredness or exhaustion related to cancer or cancer treatment that is not proportional to recent activity and interferes with usual functioning". CRF has been found to affect between 59-99% of patients undergoing active treatment. Approximately a third of cancer survivors will continue to experience moderate to severe fatigue upwards of 10 years post-diagnosis. Given the prominence of CRF, guidelines for the assessment and management of CRF have been developed, including guidelines by the Canadian Association for Psychosocial Oncology (CAPO). Despite the availability of guidelines for CRF and a plethora of interventions that have demonstrated effectiveness in aiding patients manage CRF, implementation has been lacking. The objective of this study is to adapt, implement, and evaluate an already existing intervention for CRF in the community using the Knowledge-to-Action framework. This study is an implementation study and evaluation of an evidence-based cognitive-behavioral therapy intervention for CRF in a community setting. An evident knowledge to practice gap exists for CRF management in Ottawa, Canada. Through partnership with a community organization, the Ottawa Regional Cancer Foundation, and an emphasis on long-term sustainability, this project aims to provide more accessible treatment for cancer survivors who are experiencing CRF in the Ottawa region.
The development of mobile applications ("mobile apps") is steadily increasing and appears to be a promising treatment method to help people change unwanted behaviors or maintain a regular relationship with the medical system. Mobile apps aimed at smoking cessation have been shown to be effective. However, if a treatment is not used regularly, it will not have the desired effect. The main objective of this study is to identify what makes a person decide to use a smoking cessation app and to do so regularly. The second objective is to determine what is necessary to achieve long-term change with a mobile app.
Myocardial infarction (MI) is one of the leading cause s of health loss globally, representing a large proportion of general disability. Anxiety and depression occur in 20-30 percent of patients following MI and have been identified as risk factors for recurrent adverse cardiac event. The purpose of our this study is to develop and evaluate a disease specific cognitive behavioral therapy (C BT) protocol to reduce cardia anxiety, depression, increase physical inactivity and quality of life (Q oL) in patients following MI
Cognitive-behavioral therapy (CBT) has been found to be efficacious in the treatment of cancer-related cognitive impairment (CRCI). Memory and Attention Adaptation Training (MAAT) has been evaluated in previous clinical trials with samples of breast cancer survivors and found effective at reducing cancer-related cognitive impairment. MAAT has been demonstrated to be efficacious when it is delivered via videoconference.The use of telehealth delivery enhances access to cancer survivorship care and reduces time and travel burden among cancer survivors, especially those who live in rural and/or underserved areas where cancer survivor services are less available. People with a diagnosis of gastrointestinal stromal tumors also experience self-reported cancer-related cognitive impairment. In order to determine if MAAT can sufficiently treat CRCI among people with gastrointestinal stromal tumors (GIST), we propose a trial of MAAT to determine its initial level of effectiveness in improving both self-reported cognitive impairments and objective neuropsychological test performance in GIST patients.
Up to 72% of adolescents with ADHD portray sleep problems. The most common sleep difficulties in adolescents with ADHD are initial insomnia, nocturnal awakenings, non-restorative or restless sleep. These difficulties seem to be causally related to increased ADHD symptom impairment, oppositional and depressive symptomatology, and functional impairments in daily life, resulting in a vicious circle of sleep problems and impairment. Thus, reducing sleep problems is an important intervention target. However, to date there is no evidence-based cognitive behavioral sleep treatment available. Sleep-focused treatments need adaptation towards this developmental phase/disorder for effectiveness, as ADHD and sleep problems are bi-directional. Therefore, a blended treatment targeting the core deficits integrating motivational interviewing, planning skills and sleep interventions is needed. Thus, the aim of this project is testing the short and 3 months follow-up effectiveness of the blended CBT sleep intervention in adolescents with ADHD.
This study generates a new proposal for intensive intervention following the recommendations to quit smoking in hospitalized patients, providing intensive, accessible and individualized treatment, as well as long-term follow-up, thanks to new technologies. The main advantage that mhealth can bring to public health is cost-effectiveness, scalability and wide reach compared to traditional treatments. Rapid diffusion and remote outreach can impact traditional treatment programs, reduce waiting lists for tobacco visits, and increase quit rates, as well as reduce barriers to accessing smoking cessation programs, by location or time conflicts. Since the possibility of continuous face-to-face support is very limited, health interventions carried out through a smartphone can help avoid this situation. The study by Finkelstein and Me Cha (2016) justifies this line of intervention and solves the doubt about the feasibility of using the mobile phone to quit smoking in hospitalized patients, highlighting its usefulness for all patients regadless their age, gender, computer skills, income and educational level. -Can an App apply an intensive intervention to stop smoking in the hospitalized patient?
This research project is a hybrid type 2 effectiveness-implementation trial that simultaneously examines (1) the effectiveness of a trauma-focused intervention for youth in the education sector and (2) the impact of a theory-driven pragmatic implementation strategy designed to increase the adoption, fidelity, and sustainment of evidence-based treatments (EBTs). This trial will include 120 clinicians and 480 students, and it is designed to test the cost effectiveness and impact of Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) in a new setting that increases access to mental health care - schools (Aim 1); test the cost effectiveness, immediate impact, and sustained impact of the Beliefs and Attitudes for Successful Implementation in Schools (BASIS) implementation strategy on proximal mechanisms and implementation outcomes (Aims 2a, 2b, 2d); and conduct sequential mixed-methods data collection to explain residuals (i.e., clinicians whose implementation behavior is unaccounted for by the mediation model) (Aim 2c).
Pediatric weight management efficacy is impacted by failure to complete treatment protocols and, for those that do complete treatment, a return to unhealthy behaviors. This project tests whether treating pain, a common comorbid condition to pediatric obesity, will enhance treatment. This study will generate results that can be translated into immediate improvements in care for families seeking treatment for pediatric obesity.
This is a parallel randomized, double-blinded, sham-controlled clinical trial in which a total of 72 drug-naïve MDD subjects (36 per arm) are randomized to one of two groups: Cognitive-Behavior Therapy (CBT) combined with either active or sham tDCS. The primary outcome is mood improvement, as measured by the Montgomery-Asberg Depression Rating Scale (MADRS). The secondary outcome is to test whether tDCS combined with CBT can engage the proposed mechanistic target, of restoring the prefrontal imbalance and connectivity, by changes over EEG.
1. Recruitment of medicine students of federal university. 2. Psychiatric interview (MINI) and sclaes application. 3. Protocol of CBT 4. Scales and MINI will be applied at the times of 7, 30 and 90 days after the end of the therapy. 5. Statistical analysis