Mass Screening

Colorectal cancer is a leading cause of cancer death among Veterans. The starting age for colorectal cancer screening has been lowered from 50 to 45 years in response to the rising incidence of early-onset colorectal cancer (EOCRC), but how to best engage younger Veterans in screening is unclear. The investigators will 1) develop and validate a novel risk score for EOCRC derived from the VA electronic health record data, 2) conduct a multilevel screening intervention that targets individuals aged 45-49 years and informs high-risk individuals and their providers about their risk status for EOCRC, and 3) determine barriers and facilitators to implementing the intervention using a qualitative process evaluation. Aim 2 is the focus of the trial. The overall goal of this study is to create and test a risk stratification approach to prevent EOCRC, which may be especially useful for younger individuals who are less likely to participate in preventive care.

This study evaluates the feasibility and fidelity of an opportunistic atrial fibrillation (AF) screening programme conducted in 38 community pharmacies in Seville (Spain), using the Kardias® 6-lead portable ECG device, coordinated with the emergency medical services centre Salud Responde (CES 061) and primary care physicians. Eligible participants are individuals aged 65 years or older without a prior AF diagnosis who attend a participating pharmacy for any routine purpose. The screening consists of a 30-second ECG recording performed by a trained community pharmacist. Positive or indeterminate results are transmitted in real time to Salud Responde for clinical validation and referral to primary care. The study is evaluated using the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation, Maintenance). The primary outcome is protocol fidelity, measured by the Implementation Adherence Grade (IAG). The study is part of the NUMAPLUS project, funded by INTERREG VI-A España-Portugal (POCTEP 2021-2027), co-financed by the European Regional Development Fund (ERDF).

Creation and use of a smartphone application for older adults to assess the participants' risk of fall. Phase 1: Compare the accuracy and validity of accelerometer and gyroscopic data from a smartphone and gold-standard, wearable sensors gathered during balance and gait activities. Phase 2: Develop a model that integrates wearable sensor data and individual characteristics, such as age, medical conditions, exercises, previous falls, fear of falls, along with gait and balance outcome measurements, to evaluate fall risk in older adults. Phase 3: Integrate the computational model in the design of a mobile app for wearable devices for older adults to self-administer fall risk assessments and provide individualized risk of fall information.