Journal article

Towards optimising chronic kidney disease detection and management in primary care: Underlying theory and protocol for technology development using an Integrated Knowledge Translation approach

Jo-Anne Manski-Nankervis, Karyn Alexander, Ruby Biezen, Julia Jones, Barbara Hunter, Jon Emery, Natalie Lumsden, Douglas Boyle, Jane Gunn, Rita McMorrow, Megan Prictor, Mark Taylor, Christine Hallinan, Patty Chondros, Edward Janus, Jennifer McIntosh, Craig Nelson



Worldwide, Chronic Kidney Disease (CKD), directly or indirectly, causes more than 2.4 million deaths annually with symptoms generally presenting late in the disease course. Clinical guidelines support the early identification and treatment of CKD to delay progression and improve clinical outcomes. This paper reports the protocol for the codesign, implementation and evaluation of a technological platform called Future Health Today (FHT), a software program that aims to optimise early detection and management of CKD in general practice. FHT aims to optimise clinical decision making and reduce practice variation by translating evidence into practice in real time and as a part of quality improve..

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Funding Acknowledgements

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Paul Ramsay Foundation; and the Australian Government's Medical Research Future Fund (MRFF) Rapid Applied Research Translation Program in conjunction with the Melbourne Academic Centre for Health.