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Epidemiology of chronic kidney disease in Australian general practice: National Prescribing Service MedicineWise MedicineInsight dataset


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Radford, J ORCID: 0000-0002-5751-0488, Kitsos, A ORCID: 0000-0003-4319-1559, Stankovich, J ORCID: 0000-0001-9344-7749, Castelino, R, Khanam, M ORCID: 0000-0002-2103-6462, Jose, M ORCID: 0000-0002-9589-0071, Peterson, G ORCID: 0000-0002-6764-3882, Saunder, T, Wimmer, B ORCID: 0000-0003-3166-7126 and Razi Zaidi, T ORCID: 0000-0002-2031-1055 2018 , 'Epidemiology of chronic kidney disease in Australian general practice: National Prescribing Service MedicineWise MedicineInsight dataset' , Nephrology , pp. 1-9 , doi: 10.1111/nep.13537.

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Aim: To describe sociodemographic characteristics and comorbidities of alarge cohort of Australian general practice-based patients identified as having chronic kidney disease (CKD), using data from National Prescribing Service (NPS) MedicineWise’s MedicineInsight dataset, and compare thisdataset to the 2011–2012 Australian Health Survey’s (AHS) CKD prevalenceestimates.Methods: This was a cohort study using deidentified, longitudinal, electronic health record data collected from 329 practices and 1 483 416patients distributed across Australia, from 1 June 2013 until 1 June 2016.Two methods were used to calculate the CKD prevalence. One used thesame method as used by the 2011–2012 AHS, based on one estimate of theestimated glomerular filtration rate (eGFR) or albumin/creatinine ratios(ACR). The other defined CKD more rigorously using eGFR or ACR resultsat least 90 days apart.Results: In 2016, of 1 310 602 active patients, 710 674 (54.2%) did not havean eGFR or ACR test, while 524 961 (40.1%) had an eGFR or ACR test butdid not meet AHS criteria for CKD. Age–sex adjusted rates of CKD (compared to AHS) were CKD 1–0.45% (3.9%), CKD 2–0.62% (2.5%), CKD 3a:3.1% (2.7%), CKD 3b: 1.14% (0.6%), CKD 4–5: 0.41% (0.3%). The CKD cohortdefined more rigorously using eGFR and ACR measures >90 days apart, hadcomorbidities of atrial fibrillation (30.5%), cardiovascular disease (25.0%),diabetes mellitus (17.1%) and hypertension (14.8%).Conclusion: The MedicineInsight dataset contains valuable and timely information about Australian patients with CKD, and provides prevalence estimates similar to those from AHS data.

Item Type: Article
Authors/Creators:Radford, J and Kitsos, A and Stankovich, J and Castelino, R and Khanam, M and Jose, M and Peterson, G and Saunder, T and Wimmer, B and Razi Zaidi, T
Keywords: chronic kidney disease epidemiology prevalence primary care Australia
Journal or Publication Title: Nephrology
Publisher: Blackwell Publishing Asia
ISSN: 1320-5358
DOI / ID Number: 10.1111/nep.13537
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Copyright 2018 The Authors. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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