Background: Non-pharmacological interventions that promote self-management are crucial for individuals with mild cognitive impairment (MCI.) Mindfulness training has shown promise but is often not tailored to MCI. Methods: In 2021, the Neil and Susan Manning Cognitive Health Initiative (CHI) - a collaboration between the Vancouver Island Health Authority, Universities of BC and Victoria, and the Victoria Hospitals Foundation - partnered with the BC Association for Living Mindfully (BCALM) to develop a specialized mindfulness program for MCI, based on Mindfulness-Based Stress Reduction (MBSR). This multi-phase initiative aimed to enhance self-management, address the lack of outpatient services for MCI in Victoria, and contribute to the evidence base for mindfulness interventions. Results: Phase 1 assessed the BCALM program’s suitability for MCI; feedback included suggestions to simplify content and meditations. Phase 2 piloted an adapted version, with an 8-week program consisting of weekly sessions. Participants, recruited from the Seniors Outpatient Clinic in Victoria, completed pre- and post-program surveys; results showed over 90% of participants reported improved memory and coping, and 80% managed memory-related challenges better. Conclusions: Now in Phase 3, the MCI program is being transitioned into regular BCALM curriculum, with plans for a clinical trial comparing it to traditional psychoeducational approaches.

Background: Neck vessel imaging is often performed in hyperacute stroke to allow neurointerventionalists to estimate access complexity. This study aimed to assess clinician agreement on catheterization strategies based on imaging in these scenarios. Methods: An electronic portfolio of 60 patients with acute ischemic stroke was sent to 53 clinicians. Respondents were asked: (1) the difficulty of catheterization through femoral access with a regular Vertebral catheter, (2) whether to use a Simmons or reverse-curve catheter initially, and (3) whether to consider an alternative access site. Agreement was assessed using Fleiss’ Kappa statistics. Results: Twenty-two respondents (7 neurologists, 15 neuroradiologists) completed the survey. Overall there was slight interrater agreement (κ=0.17, 95% CI: 0.10–0.25). Clinicians with >50 cases annually had better agreement (κ=0.22) for all questions than those with fewer cases (κ=0.07). Agreement did not significantly differ by imaging modality: CTA (κ=0.18) and MRA (κ=0.14). In 40/59 cases (67.80%), at least 25% of clinicians disagreed on whether to use a Simmons or reverse-curve catheter initially. Conclusions: Agreement on catheterization strategies remains fair at best. Our results suggest that visual assessment of pre-procedural vessels imaging is not reliable for the estimation of endovascular access complexity.

Constrained econometric techniques hamper investigations of disease prevalence and income risks in the shrimp industry. We employ an econometric model and machine learning (ML) to reduce model restrictions and improve understanding of the influence of diseases and climate on income and disease risks. An interview of 534 farmers with the models enables the discernment of factors influencing shrimp income and disease risks. ML complemented the Just-Pope production model, and the partial dependency plots show nonlinear relationships between income, disease prevalence, and risk factors. Econometric and ML models generated complementary information to understand income and disease prevalence risk factors.

In the setting of universal Clostridioides difficile screening, we implemented an alert that triggered when C. difficile treatment was ordered in patients who recently received laxatives. This resulted in C. difficile treatment avoidance in 37% of patients and was associated with drug cost savings of $143,905 over a 10-month period.

Smart contracts are designed to be self-executing and self-enforcing. They are written as computer code that can automatically monitor, execute and enforce the performance of the agreed terms. The code of smart contracts exists across a distributed, decentralised blockchain network, controlling the execution and making transactions trackable and irreversible. This article examines the extent to which the Australian Consumer Law unfair contract term provisions can respond to the use of smart contracts. The article finds that the Australian Consumer Law unfair contract term provisions work relatively well to protect smart contract consumers. While some challenges exist and should be properly considered, there seems to be no need to either create entirely new law, modify the existing regime or totally ban smart contracts to protect consumers against unfair contract terms in smart consumer contracts.