O ADEGBIJA1,2, A CAMERON1,2,3, D HOFFMAN4, D SEGELOV4, D WAUGH5, S HUYNH3, WE HOY1,2
1NHMRC CKD.CRE and CKD.QLD, Brisbane, Queensland; 2Faculty of Medicine, University of Queensland, Brisbane, Queensland; 3Kidney Health Service (RBWH); Metro North Hospital and Health Service, Brisbane, Queensland; 4Software 4 Specialists; 5Royal North Shore Hospital, Sydney, NSW
Aim: To describe the availability of an extraction tool which has been developed to access data on CKD patients from existing Audit4 databases, and its potential use for CKD surveillance purposes.
Background: One objective of the proposed National CKD Surveillance Network is to employ efficient mechanisms to access data of CKD patients. The use of already-collected information from existing systems is one of its strategies. Audit4 software, developed by Software for Specialists (S4S) is a clinical management system used by at least forty nephrologists, in public and private practice, across Australia. Many have previously collaborated in the eKiDNAA CKD research consortium, but data for their analyses needed to be extracted by S4S itself, and at a cost.
Methods: Funded by a grant from Amgen, we have contracted with S4S to develop a desktop extraction tool for use by individual practitioners to obtain summary data from their Audit 4 database. The tool can extract most variables pertinent to surveillance of CKD, including patient demographic profiles, clinical features, pathology results, medications, investigations, procedures, diagnoses, hospital visits, outcomes, RRT and deaths, and is potentially further adaptable. The tool has been successfully applied to Audit4 data in one North Sydney practice, with longitudinal data on about 3,905 patients quickly and easily accessed. That information is currently under analysis.
Discussion: This data extraction tool is free for all Audit 4 users. It can be used for audit, tracking and quality control purposes, in individual practices. The potential for data on patients starting RRT to flow to ANZDATA is under discussion. Furthermore, the tool also offers a mechanism for contributing data for collaborative CKD research, including for CKD surveillance.