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Community of Practice

Our goal is to accelerate the dissemination and implementation of evidence-based models of care for children and young people living with Type 1 Diabetes.

Research

Yarning about yarning as a legitimate method in Indigenous Research

This article demonstrates the credibility and rigor of yarning, an Indigenous cultural form of conversation, through its use as a data gathering tool

People

Amelia Freeman

Amelia Freeman's staff profile at The Kids Research Institute Australia

News & Events

Child Health Research Seminars March 2013

The Kids for Child Health Research presents seminars from our leading researchers every Friday. They are designed to inform both the scientific co

News & Events

International Nurses Day

Today, May 12th, is International Nurses Day. To celebrate the wonderful nurses in our diabetes team, we asked Clinical Research Nurse Manager Alex Tully a few questions to find out what she does and why she does it.

News & Events

Flu Program for Patients

Flu season is here. The Paediatric Influenza Vaccine Program has started at PCH. Available now  to inpatients and children attending outpatient appointments, everyone is encouraged to get the influenza vaccination.ne. 

News & Events

Clinic Update May 2022

PCH Diabetes Service Update We will continue to utilise Telehealth for most appointments and care for the next few weeks at least, but we remain ready to pivot back to face to face care as soon as possible.

News & Events

T1D: Challenge accepted

One step at a time … that’s the message Canadian Sebastien Sasseville wants kids living with Type 1 Diabetes to know when he talks about his T1D journey.

New patient folder

Our new and improved patient folder is a comprehensive resource to help families navigate a new type 1 diabetes diagnosis, now and into the future.

Research

Development of a pharmaceutical science systematic review process using a semi-automated machine learning tool: Intravenous drug compatibility in the neonatal intensive care setting

Our objective was to establish and test a machine learning-based screening process that would be applicable to systematic reviews in pharmaceutical sciences. We used the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) model, a broad search strategy, and a machine learning tool (Research Screener) to identify relevant references related to y-site compatibility of 95 intravenous drugs used in neonatal intensive care settings.