Biomarkers.

Primary Care (PC) clinicians are faced with numerous competing demands and priorities for maximizing patient care. These challenges make the implementation of strategies for early detection of Alzheimer's Disease (AD) complex. Few real-world implementation projects about early detection of AD in PC exist.

Dementia Care Practice.

Background: Early symptoms of cognitive impairment are frequently undetected. The Davos Alzheimer's Collaborative System Preparedness (DAC-SP) Early Detection program implemented a digital cognitive assessment (DCA) in primary care and other non-specialty settings to increase the rate of detection of cognitive impairment.

Methods: The DAC-SP Early Detection program was initiated in 2021 in seven healthcare systems across six countries.

Dementia Care Practice.

Background: Screening for cognitive impairment in primary care faces challenges, including time constraints, provider apprehension, and limited diagnostic confidence. An effective initiative for improving screening must include strategies to foster behavioral change, and active provider engagement. Agile implementation science integrates findings from behavioral economics, complexity science, and network science, to address these challenges by confirming the demand to solve the problem; local solution adaptation; and the iterative 'sprints', or tests of change, that are focused on execution.

Risk of What and Why? Disaggregating Pathways to Extremist Behaviours in Individuals Susceptible to Violent Extremism.

Best practice in violent extremist risk assessment and management recommends adopting a Structured Professional Judgement (SPJ) approach. The SPJ approach identifies relevant, evidence-based risk and protective factors and requires experts to articulate hypotheses about a) what the person might do (risk of what), and b) how they've come to engage in the concerning behaviour (and why) (Logan 2021) to inform who, needs to do what, and when. Whilst the field continues to move towards adopting an SPJ approach, there remains a gap between what is known empirically and what is needed in practice.

An online driving decision aid for older drivers reduces ambivalence and regret about driving decisions: Randomized trial.

Background: Decisions about driving cessation can be stressful for older adults. We tested effects of a driving decision aid (DDA) on psychosocial outcomes among older drivers during two-year follow-up.

Methods: Multisite randomized controlled trial of licensed drivers ages ≥70 with at least one diagnosis associated with increased likelihood of driving cessation, without significant cognitive impairment.