One size doesn't fit all: methodological reflections in conducting community-based behavioural science research to tailor COVID-19 vaccination initiatives for public health priority populations.

Background: Promoting the uptake of vaccination for infectious diseases such as COVID-19 remains a global challenge, necessitating collaborative efforts between public health units (PHUs) and communities. Applied behavioural science can play a crucial role in supporting PHUs' response by providing insights into human behaviour and informing tailored strategies to enhance vaccination uptake. Community engagement can help broaden the reach of behavioural science research by involving a more diverse range of populations and ensuring that strategies better represent the needs of specific communities.

Increase in Gonorrhea Incidence Associated With Enhanced Partner Notification Strategy.

Objectives: Partner notification services for reportable sexually transmitted infections vary based on jurisdiction, resources, type of infection, and whether an outbreak has been reported. The objective of this study was to determine whether case finding increased after implementation of enhanced notification and follow-up activities for contacts of cases of Neisseria gonorrhoeae in Central Zone, the largest health authority in Nova Scotia, Canada.

Methods: Enhanced contact tracing by public health professionals was implemented in May 2015.

Municipal transportation policy as a population health intervention: estimating the impact of the City of Ottawa Transportation Master Plan on diabetes incidence.

Intervention: Physical inactivity is an important behavioral risk factor for chronic disease in Canada. Individual-level strategies are used in clinical medicine to target individuals for preventive intervention based on one or more risk factors. In contrast, this study examines the impact of a population-level intervention: a municipal policy outside the healthcare sector that influences the built and social environment.

Simulation modeling to enhance population health intervention research for chronic disease prevention.

Population Health Intervention Research (PHIR) is an expanding field that explores the health effects of population-level interventions conducted within and outside of the health sector. Simulation modeling-the use of mathematical models to predict health outcomes in populations given a set of specified inputs-is a useful, yet underutilized tool for PHIR. It can be employed at several phases of the research process: (1) planning and designing PHIR studies; (2) implementation; and (3) knowledge translation of findings across settings and populations.

A systematic review and appraisal of the quality of practice guidelines for the management of infections.

Background: Clinical guidelines help ensure consistent care informed by current evidence. As shifts in antimicrobial resistance continue to influence first-line treatment, up-to-date guidelines are important for preventing treatment failure. A guideline's development process will influence its recommendations and users' trust.

How do emergency physicians make discharge decisions?

Background: One of the most important decisions that emergency department (ED) physicians make is patient disposition (admission vs discharge).

Objectives: To determine how ED physicians perceive their discharge decisions for high-acuity patients and the impact on adverse events (adverse outcomes associated with healthcare management).

Methods: We conducted a real-time survey of staff ED physicians discharging consecutive patients from high-acuity areas of a tertiary care ED.