12 February 2025
Audit & Feedback provides general practitioners (GPs) with a condition-specific report where their own clinical data will be audited against latest evidence guidelines. This feedback enables GPs to reflect on their practice, delve deeper into their data and improve patient outcomes.
We are looking for GPs in the EMPHN catchment to help us test and co-design the Audit & Feedback reports for two topics: Chronic Kidney Disease (CKD) and secondary cardiovascular disease prevention post stroke/transient ischaemic attack.  
The study is conducted by Monash University in partnership with EMPHN.
Who can participate?
GPs working in practices within the EMPHN catchment area, currently using POLAR (a clinical intelligence tool that integrates with clinical information systems to support general practices to provide best patient care and optimise business output).
What is involved?
As a participant, you will take part in 2-3 online interviews (45 to 60 minutes per interview) via Zoom at times convenient to you (including after hours). You will co-design prototype feedback reports, and comment on their design, ease of use and how they could be improved.
Why participate?
Your contributions will play an important role in shaping the usefulness of clinical feedback reports to support practice reflection for GPs like you.
Confidentiality and renumeration for your time
Participation is voluntary, and your information will be kept confidential.
Participants will receive a $155 gift card per interview as a token of appreciation.
How do I participate?
For the Full Explanatory Statement, and to sign-up, please click on link below.
After signing up, you will be contacted by a Monash University researcher to schedule your first interview.
Questions?
Please contact Kitty Yu, Audit & Feedback Lead, if you have questions regarding this research activity.
Email: kitty.yu@emphn.org.au
Thank you for considering this opportunity and for your ongoing commitment to achieving better health outcomes for the eastern Melbourne communit
