Adopting healthy lifestyle pillars promotes longer lives free from major chronic diseases and is particularly relevant in periods of stress such as those experienced during the COVID-19 pandemic.

General practice terms diversify the prevocational experiences of interns and help consolidate rural career pathways.

An overview on how to assess common neonatal presentations to general practice, highlighting some significant conditions that may require further assessment.

Contraceptive options for young people seeking contraception.

A report on the experiences of Australian general practitioners in 2020 and 2021 during the COVID-19 pandemic.

This article measures access to digital health technology, uptake of digital health, digital health literacy and COVID-19 vaccination intentions in an inner-city population experiencing homelessness.

A suggested model for general practice that allows the full scope of practice to be developed while supporting general practitioners in their careers.

A project piloting an embedded general practice pharmacist provided an opportunity to explore the influence of this role on medication management for a target ‘at-risk’ population.

Recent technology-related changes in the practice of medicine will have a profound effect on both the provision and measurement of continuity.

Consumers with chronic medical conditions may not readily embrace Health Care Home practice redesign initiatives in Australia.

Characterising the general practice response to the COVID-19 pandemic is important for ongoing policy planning.

Text-based e-mental health programs may worsen the treatment gap for disadvantaged patients because of inherent high literacy requirements.

A simulation model of the general practice nurse workforce from 2012 to 2025 a likely shortage of the workforce, but this shortage could be reduced through recruitment and retention strategies.

Healthcare professionals would generally like to increase their electronic correspondence, yet most are currently faxing or posting their correspondence.

In partnership with an Aboriginal and Torres Strait Islander community-controlled health service, this study explored the use of a machine learning tool to identify high-needs patients.