View clinical trials related to Population at Risk.
Filter by:To determine whether using bpMRI in subjects who are at high risk of developing prostate cancer in conjunction with PSA will improve prostate cancer screening protocols.
The specific aims are: 1. To evaluate the potential barriers of providing educational lung screening interventions to quitline users, the investigators will seek input from 10-20 stakeholders on the newly adapted print version of the Should I Screen website, and on our proposed Aim 2 recruitment and retention procedures. 2. To conduct a randomized intervention, comparing: 1) ShouldIScreen.com website, (WEB; N=150); vs. 2) the Should I Screen print version (PRINT; N=150). H2.1. At 1- and 4-months post-randomization, the WEB arm will have significantly higher lung screening knowledge and intention to undergo lung screening, compared to PRINT. Randomization will be stratified by age and pack-years in order to incorporate those who are recently eligible for screening, ages 50-54 and with 20-29 pack years. H2.2 The investigators will explore several potential moderators (age and e-health literacy). For example, the investigators will explore whether older vs younger participants have differential knowledge outcomes when using the PRINT vs WEB interventions. H2.3 We will explore whether mediators (prior lung screening, current primary care provider, lung cancer perceived risk) positively affects knowledge and screening intentions. 3. To evaluate reach (% of quitline users enrolled) and engagement (% who read the intervention materials) by study arm and subgroup (e.g., method of quitline access, age, e-health literacy).
COVID-19 pandemic has deeply burdened hospitals all over the world. A two-stage disease has been hypothesized due to quick worsening of clinical status after 7-10 days from the beginning of first symptoms, generally flu-like symptoms. Predicting clinical worsening could help to address major efforts towards higher risk patients. During the last year most observational studies, generally retrospective, has been conducted, identifying some risk factors such as age, obesity, male gender, cardiovascular disease, COPD, diabetes etc. The study goal is to collect systematically a variegate amount of clinical, biometric, laboratory and radiological data from patients admitted to the Emergency Medicine Ward of Piacenza Hospital (Italy), in order to prospectively analyze what characteristics are associated to higher risk of mortality.