A validation study: how effective is the Hospital Morbidity Data as a surveillance tool for heart failure in Western Australia?

Teng, Tiew-Hwa Katherine, Finn, Judith, Hung, Joseph, Geelhoed, Elizabeth and Hobbs, Michael (2008) A validation study: how effective is the Hospital Morbidity Data as a surveillance tool for heart failure in Western Australia?. Australian and New Zealand Journal of Public Health, 32 5: 405-407. doi:10.1111/j.1753-6405.2008.00269.x


Author Teng, Tiew-Hwa Katherine
Finn, Judith
Hung, Joseph
Geelhoed, Elizabeth
Hobbs, Michael
Title A validation study: how effective is the Hospital Morbidity Data as a surveillance tool for heart failure in Western Australia?
Journal name Australian and New Zealand Journal of Public Health   Check publisher's open access policy
ISSN 1326-0200
1753-6405
Publication date 2008-09
Sub-type Article (original research)
DOI 10.1111/j.1753-6405.2008.00269.x
Open Access Status
Volume 32
Issue 5
Start page 405
End page 407
Total pages 3
Place of publication Richmond, VIC, Australia
Publisher Wiley-Blackwell
Language eng
Formatted abstract
Objective: To determine the accuracy of the hospital discharge coding of heart failure (HF) in the Western Australian (WA) Hospital Morbidity Data (HMD).

Methods: A retrospective medical chart review of a sample of 1,006 patients with a principal diagnosis code indicating HF in the WA HMD was undertaken. Validation was reported against a written diagnosis HF in the medical chart and using Boston criteria score as a gold standard.

Results: The positive predictive value (PPV) of the HMD coding of HF as the principal diagnosis was 99.5% when compared to the medical chart diagnosis and 92.4% when compared to the Boston score criteria for 'definite' HF and 98.8% for a combined 'possible' and 'definite' HF Boston score.

Conclusions: With the high predictive accuracy, the WA HMD can be used with confidence to monitor trends in the epidemiology of in-hospital HF patients. 
Keyword Discharge diagnosis
Epidemiology
Heart failure
Hospitalisation
Validation studies
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Nursing, Midwifery and Social Work Publications
 
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Created: Thu, 31 Jul 2014, 09:34:37 EST by Vicki Percival on behalf of School of Nursing, Midwifery and Social Work