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

Citation

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 Razizaidi, T, Epidemiology of chronic kidney disease in Australian general practice: National Prescribing Service MedicineWise MedicineInsight dataset, Nephrology pp. 1-9. ISSN 1320-5358 (2018) [Refereed Article]


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Copyright Statement

Copyright 2018 The Authors. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/

DOI: doi:10.1111/nep.13537

Abstract

Aim: To describe sociodemographic characteristics and comorbidities of a large 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 this dataset to the 2011–2012 Australian Health Survey’s (AHS) CKD prevalence estimates.

Methods: This was a cohort study using deidentified, longitudinal, electronic health record data collected from 329 practices and 1 483 416 patients distributed across Australia, from 1 June 2013 until 1 June 2016. Two methods were used to calculate the CKD prevalence. One used the same method as used by the 2011–2012 AHS, based on one estimate of the estimated glomerular filtration rate (eGFR) or albumin/creatinine ratios (ACR). The other defined CKD more rigorously using eGFR or ACR results at least 90 days apart.

Results: In 2016, of 1 310 602 active patients, 710 674 (54.2%) did not have an eGFR or ACR test, while 524 961 (40.1%) had an eGFR or ACR test but did 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 cohort defined more rigorously using eGFR and ACR measures >90 days apart, had comorbidities 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 Details

Item Type:Refereed Article
Keywords:chronic kidney disease, epidemiology, prevalence, primary care Australia
Research Division:Medical and Health Sciences
Research Group:Public Health and Health Services
Research Field:Primary Health Care
Objective Division:Health
Objective Group:Clinical Health (Organs, Diseases and Abnormal Conditions)
Objective Field:Urogenital System and Disorders
UTAS Author:Radford, J (Associate Professor Jan Radford)
UTAS Author:Kitsos, A (Mr Alex Kitsos)
UTAS Author:Stankovich, J (Dr Jim Stankovich)
UTAS Author:Castelino, R (Dr Ronald Castelino)
UTAS Author:Khanam, M (Dr Masuma Khanam)
UTAS Author:Jose, M (Professor Matthew Jose)
UTAS Author:Peterson, G (Professor Gregory Peterson)
UTAS Author:Saunder, T (Mr Timothy Saunder)
UTAS Author:Wimmer, B (Dr Barbara Wimmer)
UTAS Author:Razizaidi, T (Dr Tabish Razi Zaidi)
ID Code:129711
Year Published:2018
Deposited By:Pharmacy
Deposited On:2018-12-14
Last Modified:2019-03-25
Downloads:9 View Download Statistics

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