Research outputs after the Coursework Pathway.

Objectives: The aim of the present study was to quantify research outputs after completing a Coursework Pathway (CP).

Methods: Emergency medicine trainees who completed a CP during 2012-2022 were included. Research outputs were identified using Medline, EMBASE, Pubmed and Google Scholar.

Development of a Quality Indicator Set for the Optimal Acute Management of Moderate to Severe Traumatic Brain Injury in the Australian Context.

Background: The aim of this study was to develop a consensus-based set of indicators of high-quality acute moderate to severe traumatic brain injury (msTBI) clinical management that can be used to measure structure, process, and outcome factors that are likely to influence patient outcomes. This is the first stage of the PRECISION-TBI program, which is a prospective cohort study that aims to identify and promote optimal clinical management of msTBI in Australia.

Methods: A preliminary set of 45 quality indicators was developed based on available evidence.

Impact of the Southeast Melbourne Virtual Emergency Department on reducing transfers from residential aged care facilities.

Objective: To evaluate the impact of the Southeast Melbourne Virtual Emergency Department (SEMVED) on transfers from residential aged care facilities (RACFs) to traditional EDs.

Methods: A cohort study of residents requesting transfer to the ED via ambulance within participating health networks' catchments from April to June 2022.

Results: Two hundred thirty-eight VED consultations occurred with 79% (188/238) avoiding transfer.

Making the most of what we have: What does the future hold for Emergency Department data?

Over 10 million ED visits occur each year across Australia and Aotearoa New Zealand. Outside basic administrative data focused on time-based targets, there is minimal information about clinical performance, quality of care, patient outcomes, or equity in emergency care. The lack of a timely, accurate or clinically useful data collection represents a missed opportunity to improve the care we deliver each day.

A new method for ecologists to estimate heterozygote excess and deficit for multi-locus gene families.

The fixation index, , has been a staple measure to detect selection, or departures from random mating in populations. However, current Next Generation Sequencing (NGS) cannot easily estimate , in multi-locus gene families that contain multiple loci having similar or identical arrays of variant sequences of ≥1 kilobase (kb), which differ at multiple positions. In these families, high-quality short-read NGS data typically identify variants, but not the genomic location, which is required to calculate (based on locus-specific observed and expected heterozygosity).