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How well do NSW hospital data identify cases of heart failure?

Jane Robertson, Sallie-Anne Pearson and John R Attia
Med J Aust 2014; 200 (1): 25.
doi:
10.5694/mja13.10207

To the Editor: Large administrative datasets are increasingly being used for health research; validation studies are critical to understanding data quality, in particular that coding accurately reflects the clinical condition under study. We compared heart failure coding and the associated comorbidity burden using the New South Wales Admitted Patient Data Collection (APDC) with the clinical data in patient medical records (the “gold standard”).

Jane Robertson, Senior Lecturer, Clinical Pharmacology1
Sallie-Anne Pearson, Associate Professor2
John R Attia, Professor, Centre for Clinical Epidemiology and Biostatistics1
1 University of Newcastle, Newcastle, NSW.
2 Faculty of Pharmacy, University of Sydney, NSW.
Article References: 
Reference Text: 
Robertson J, McElduff P, Pearson SA, et al. The health services burden of heart failure: an analysis using linked population health data-sets. BMC Health Serv Res 2012; 12: 103.
Reference Order: 
1
PubMed ID: 
22533631
Reference Text: 
Lee DS, Donovan L, Austin PC, et al. Comparison of coding of heart failure and comorbidities in administrative and clinical data for use in outcomes research. Med Care 2005; 43: 182-188.
Reference Order: 
2
PubMed ID: 
15655432
Reference Text: 
Teng TH, Finn J, Hung J, et al. A validation study: how effective is the Hospital Morbidity Data as a surveillance tool for heart failure in Western Australia? Aust N Z J Public Health 2008; 32: 405-407.
Reference Order: 
3
PubMed ID: 
18959540
Reference Text: 
Sundararajan V, Henderson T, Perry C, et al. New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol 2004; 57: 1288-1294.
Reference Order: 
4
PubMed ID: 
15617955
Reference Text: 
Powell H, Lim LL, Heller RF. Accuracy of administrative data to assess comorbidity in patients with heart disease: an Australian perspective. J Clin Epidemiol 2001; 54: 687-693.
Reference Order: 
5
PubMed ID: 
11438409

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