Data quality of the Australia and New Zealand dialysis and transplant registry: A pilot audit

Gray, Nicholas A., Mahadevan, Kumar, Campbell, Victoria K., Noble, Euan P. and Anstey, Chris M. (2013) Data quality of the Australia and New Zealand dialysis and transplant registry: A pilot audit. Nephrology, 18 10: 665-670. doi:10.1111/nep.12126

Author Gray, Nicholas A.
Mahadevan, Kumar
Campbell, Victoria K.
Noble, Euan P.
Anstey, Chris M.
Title Data quality of the Australia and New Zealand dialysis and transplant registry: A pilot audit
Journal name Nephrology   Check publisher's open access policy
ISSN 1320-5358
Publication date 2013-10-01
Year available 2013
Sub-type Article (original research)
DOI 10.1111/nep.12126
Open Access Status Not yet assessed
Volume 18
Issue 10
Start page 665
End page 670
Total pages 6
Place of publication Richmond, VIC Australia
Publisher Wiley-Blackwell Publishing Asia
Language eng
Formatted abstract
Aim: Most clinical registries in Australia, including the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA), do not audit submitted data. Inaccurate data can bias registry analysis. This study aimed to audit data submitted to ANZDATA from a single region.

Methods: A retrospective audit of individual haemodialysis patient data recorded by ANZDATA at 31 December 2009 was completed by nephrologists in a blinded fashion. Original data were recorded by nursing staff. Patients received treatment at a public hospital, two affiliated satellite haemodialysis units, and three private haemodialysis units.

Results: Fifty-one audits were completed of a total 175 patients (29.1%) undertaking haemodialysis in 2009. Primary renal disease was correct in 86.3% (95%CI: 74.3-93.2), although errors in type of glomerulonephritis were common. Date of first dialysis (± 1-month error margin) was correct for 93.6%. Creatinine at first dialysis (± 10% error margin) was correct in 74.4%. Baseline comorbidity accuracy included: peripheral vascular disease (sensitivity 36.4% (95%CI: 24.6-50.1), specificity 82.8% (95%CI: 70.2-90.7)), ischaemic heart disease (sensitivity 69.2% (95%CI: 55.6-80.2), specificity 88.0% (95%CI: 76.3-94.3)), chronic lung disease (sensitivity 25.0% (95%CI: 15.2-38.3), specificity 93.6% (95%CI: 83.4-97.7)), diabetes (sensitivity 86.4% (95%CI: 74.4-93.2), specificity 96.6% (95%CI: 87.5-99.1)), cerebrovascular disease (sensitivity 75.0% (95%CI: 61.7-84.8), specificity 95.3% (95%CI: 85.8-98.6)), and ever smoked (sensitivity 83.3% (95%CI: 70.3-91.4), specificity 71.4% (95%CI: 57.3-82.3)). Non-melanoma skin cancer was under-reported and inaccurate.

Data accuracy was favourable compared with other renal registry validation studies. Data accuracy may be improved by education and training of collectors. A larger audit is necessary to validate ANZDATA.
Keyword Anzdata
Data quality (DQ)
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Medicine Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sun, 10 Nov 2013, 10:32:04 EST by System User on behalf of School of Medicine