View clinical trials related to Risk Reduction.
Filter by:The population of transgender and gender-diverse (TGD) persons in Wisconsin and the U.S. is steadily increasing. As this population grows, the number of individuals seeking gender-affirming therapies, including gender-affirming operations and gender-affirming hormone therapy, is also growing. An example of gender-affirming surgery is chest masculinization surgery, in which most breast tissue is removed in a person assigned female or intersex at birth to allow the chest to appear masculine. Gender-affirming chest masculinization surgery is not generally considered equivalent to an oncologic mastectomy, which aims to removal all breast tissue for future breast cancer reduction or current breast cancer treatment. The goals of this investigation are to 1) determine the percent of TGD persons considering chest masculinization surgery who have an elevated lifetime risk of breast cancer development and/or a pathogenic genetic mutation; 2) measure the percent who are at risk and choose to undergo risk-reducing mastectomies as part of chest masculinization surgery; and 3) assess and compare self-perceived breast cancer risk with calculated risk. The results of this study will substantially inform TGD patients and surgeons on the utility of personalized breast cancer risk assessment prior to chest masculinization surgery and the accuracy of self-perceived breast cancer risk in TGD persons.
Prospective non-randomised cohort study enrolling patients with exfoliation glaucoma. All patients were ophthalmological examined at inclusion. Blood samples were taken for genetic analysis.
The goal of this feasibility randomised controlled clinical trial (RCT) is to compare mesh-assisted to no-mesh pre-pectoral implant based immediate breast reconstruction in women undergoing mastectomy for treatment of breast cancer or for risk reduction of an inherited breast cancer risk. The main questions it aims to answer are: - To determine the feasibility of a definitive RCT comparing the clinical and cost- effectiveness of no- mesh versus mesh- assisted pre-pectoral breast reconstruction. - To determine if it is possible to collect data to inform a future economic analysis on the use of mesh in breast reconstruction. Participants will be randomly allocated to have their breast reconstruction either with the use of mesh or without the use of mesh prior to the start of the operation. Participants will be blinded to their allocation until day 90 post operatively. Participants will be asked to have medical photography and to complete a short quality of life questionnaire before and after surgery at 90 days prior to finding out their allocation.
Aim: The aim of this study is to examine the effect of motivational interviewing-based training program on reducing cardiovascular disease risk factors in adults. Methods: In the first stage, individuals' CVD risk levels were determined. In the second stage, a 6-session motivational interview-based training program was applied to the intervention group with a medium CVD risk level (HearthSCORE score between 2 and 5 points). Brochures were distributed to the control group.
Data intelligence platform was widely used to facilitate the process of clinical research. However, a platform that integrates natural language processing (NLP) and machine learning (ML) algorithms has not been reported in perioperative medical management.
The principal objective of Tennessee Youth Prepared for Success is to pilot, implement, and test innovative adolescent pregnancy prevention strategies using a randomized controlled trial (RCT) to effectively educate youth on both abstinence and contraception with the goal of reducing youth pregnancies, births, and STIs. Tennessee Youth Prepared for Success will address Adulthood Preparation Subjects (APS) to promote youths' successful and healthy transition to adulthood; include a Positive Youth Development (PYD) approach to engage youth and provide positive influences and skill building opportunities; and implement activities/interventions within a trauma-informed approach to account for the mental health needs of those who have experienced maltreatment, abuse, or violence. The project's goals and principal and subordinate objectives align with the PREIS program's goals/objectives and purpose, including (1) targeting high-risk youth to prevent pregnancy and STIs, including HIV/AIDS; (2) rigorously evaluating interventions using an RCT; (3) manualizing/packaging curriculum; and (4) disseminating lessons learned, best practices, and relevant findings. Tennessee Youth Prepared for Success will serve 1,200 youth ages 14-19 in 9 primarily rural counties in East/Middle/West Tennessee, targeting high-risk/vulnerable youth, including rural youth, those residing in counties with high teen birth rates, and/or hard-to-reach youth (e.g., systems-involved).
The purpose of this study is to examine if and how implementing nature prescriptions can increase time in nature and improve health to yield an actionable understanding of the nature-health connection. It aims to explore how public green spaces can be better used to improve individual and community health. Finally, this study aims to advance science by conducting a randomized controlled trial to improve understanding of the linkages between time in nature and human health.
The goal of this open-label cluster-randomized effectiveness-implementation hybrid trial is to study whether a) audit and feedback of cardiac rehabilitation service delivery within a national quality registry and b) structured implementation support can improve center-level adherence to guidelines and short and long-term patient-level outcomes.
This digital couples-based HIV/STI prevention intervention project will determine preliminary efficacy to improve uptake of evidence-based strategies and a tailored prevention plan among cisgender male couples who are in a relationship (defined as greater than 3 months or more).
This stepped wedge cluster randomized controlled trial aims to examine the efficacy and safety of CHM teabag in decreasing stroke risk by machine-learning-based retinal image analysis in elderly population.