View clinical trials related to Prostate-Specific Antigen.
Filter by:In this project, the investigators aim to evaluate the most appropriate design and implementation strategy of a decision-aid to promote shared-decision making in prostate cancer screening.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a worldwide pandemic in over 100 years. The disease caused by this newly discovered virus was called Covid-19. In this study, we aimed to evaluate changing of PSA value in patients with Covid-19.
Objectives. The primary aim of this study is to evaluate the characteristics of the determination of PSA for the early detection of prostate cancer or in the presence of symptoms, in general practice in two health departments of the Valencian Community (Spain). Specific objectives: - To describe the PSA determinations that are performed in clinical practice, with the exception of patients with prostate cancer or who are being followed for previous high PSA values. - To study the adequacy of PSA requests according to the available recommendations, considering sociodemographic and clinical aspects of the patient, such as the time interval since the last PSA test. The investigators will randomly select patients from the Health Departments 17 and 19, in the Valencian Community (Spain) with a PSA request from Primary health centres.
PURPOSE: This study is to test the efficacy of decision support E-Book for 1) increasing prostate biopsy knowledge and decision self-efficacy, and 2) reducing decisional conflict on prostate biopsy decision making in patients with elevated serum PSA. DESIGN: The study is based on an experimental design. A convent sample of 110 adult males with a PSA greater than 4.0 ng/mL and the transrectal ultrasound-guided prostate biopsy suggested by a physician will be recruited from the urology clinics. Patients will be randomly assigned to the intervention and control group. The intervention group will receive the biopsy decision support intervention delivered by a nurse using an E-Book containing a comprehensive information about prostate biopsy. The control group will receive a health education about prostate biopsy. Data on biopsy knowledge, decision self-efficacy and decision conflict will be collected at pre and post test by using the study questionnaires. ANALYSIS: Independent sample t -tests and chi-square tests will be used to compare the between group baseline equilibrium. Independent sample t -tests will be also used to analyze the between group differences in biopsy knowledge, decision self-efficacy, and decision conflict at post-test to evaluate the efficacy of the decision support intervention.
The risks and benefits of many diagnostic approaches and treatments differ for older adults compared to middle aged adults. When diagnostic and therapeutic strategies are misapplied to older adults this can lead to increased morbidity and mortality. Well established examples where clinicians do not often follow best practices in the care of older adults include those identified by the American Geriatrics Society for the Choosing Wisely initiative: 1) testing and treatment for asymptomatic bacteriuria, 2) prostate specific antigen testing in older men without prostate cancer, and 3) overuse of insulin or oral hypoglycemics for type 2 diabetes. Clinical decision support nudges, informed by social psychology and delivered via electronic health records (EHRs), are promising strategies to reduce the misuse of services in cases where optimal utilization may not be zero but should be well below current practice. These interventions seek to influence conscious and unconscious drivers of clinical decision making, are low cost to implement and disseminate, and can be incorporated into existing delivery systems. In the R21 phase of this Behavioral Economics Applications to Geriatrics Leveraging EHRs (BEAGLE) study, we will: select EHR delivered nudges to address 3 topics of potential misuse in older adults based on the main psychological drivers of overuse identified in interviews with high-using clinicians; develop and pilot test decision support tools within a health systems' EHR to understand technical feasibility, work flow fit, preliminary impact on clinical outcomes, and clinician acceptability; and develop and validate electronic clinical quality measures of potential overuse/misuse related to the care of older adults.