Redefining Diabetes Care: Evaluating the Impact of a Carbohydrate-Reduction, Health Coach Approach Model in New Zealand.

This study explores a novel healthcare model employed in the primary care setting integrating a carbohydrate-reduction dietary approach and health coaching for managing prediabetes (PD) and Type 2 diabetes (T2D) in New Zealand. Using qualitative methods, we conducted focus groups with 46 patients and individual interviews with health coaches and general practitioners across two regions. Five major themes emerged from inductive thematic analysis: reduced carbohydrate lifestyles, health coaching, implementation, empowerment, and sustainability.

No "One-Size-Fits All": chronic "Carryover" diagnoses dilute antibiotic prescribing rates for sinusitis among adults in primary and urgent care settings.

International Classification of Diseases, Tenth Revision (ICD-10) billing data used in outpatient stewardship metrics is under-described for acute and chronic sinusitis. We found that different sinusitis ICD-10 definitions impacted antibiotic prescribing rates (APRs). Chronic sinusitis ICD-10s dilute overall sinusitis APR, particularly in primary care settings and should be examined separately.

International consensus to define outcomes for trials of chemoradiotherapy for anal cancer (CORMAC-2): defining the outcomes from the CORMAC core outcome set.

Variation in outcomes definitions and reporting limit the utility of clinical trial results. The Core Outcome Research Measures in Anal Cancer (CORMAC) project developed a core outcome set (COS) for chemoradiotherapy trials for anal squamous cell carcinoma (ASCC) through an international healthcare professional and patient consensus process. The CORMAC-COS comprises 19 outcomes across 4 domains (disease activity, survival, toxicity, life impact).

A deep learning framework deploying segment anything to detect pan-cancer mitotic figures from haematoxylin and eosin-stained slides.

Mitotic activity is an important feature for grading several cancer types. However, counting mitotic figures (cells in division) is a time-consuming and laborious task prone to inter-observer variation. Inaccurate recognition of MFs can lead to incorrect grading and hence potential suboptimal treatment.