Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths

Harriss, Linton R., Ajani, Andrew E., Hunt, David, Shaw, James, Chambers, Brian, Dewey, Helen, Frayne, Judith, Beauchamp, Alison, Duve, Karen, Giles, Graham G., Harrap, Stephen, Magliano, Dianna J., Liew, Danny, McNeil, John, Peeters, Anna, Stebbing, Margaret, Wolfe, Rory and Tonkin, Andrew 2011, Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths, Australian and New Zealand journal of public health, vol. 35, no. 5, pp. 466-476.

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Title Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths
Author(s) Harriss, Linton R.
Ajani, Andrew E.
Hunt, David
Shaw, James
Chambers, Brian
Dewey, Helen
Frayne, Judith
Beauchamp, Alison
Duve, Karen
Giles, Graham G.
Harrap, Stephen
Magliano, Dianna J.
Liew, Danny
McNeil, John
Peeters, Anna
Stebbing, Margaret
Wolfe, Rory
Tonkin, Andrew
Journal name Australian and New Zealand journal of public health
Volume number 35
Issue number 5
Start page 466
End page 476
Total pages 11
Publisher Wiley - Blackwell Publishing Asia
Place of publication Richmond, Vic.
Publication date 2011-10
ISSN 1326-0200
1753-6405
Keyword(s) cardiovascular disease
coronary heart disease
stroke
validity
medical record
Summary Objective: This study investigated the sensitivity and specificity of the national mortality codes in identifying cardiovascular disease (CVD) deaths and documents methods of verification.

Methods: A 12-year retrospective case ascertainment of all ICD-coded CVD deaths was performed for deaths between 1990 and 2002 in the Melbourne Collaborative Cohort Study, comprising 41,528 subjects. Categories of non-CVD codes were also examined. Stratified samples of 750 deaths were adjudicated from a total of 2,230 deaths. Expert panels of cardiologists and neurologists adjudicated deaths.

Results: Of the 750 deaths adjudicated, 582 were verified as CVD [392 coronary heart disease (CHD) and 92 stroke] and 168 non-CVD. Estimated sensitivity and specificity of national mortality codes for identifying specific causes of death were: CHD 74.2% (95% CI: 69.8–78.5%) and 97.6% (96.0–99.2%), respectively; myocardial infarction 59.9% (50.9–69.0%) and 94.2% (92.4–96.0%), respectively; haemorrhagic stroke 58.9% (46.0–71.7%) and 99.8% (99.4–100.0%), respectively and; ischaemic stroke 38.7% (20.5–56.9%) and 99.9% (99.6–100.0%), respectively. Misclassification was most common for deaths with primary ICD codes for endocrine-metabolic and genito-urinary diseases.

Conclusions: National mortality coding under-estimated the true proportion of CHD and stroke deaths in the cohort by 13.6% and 50.8%, respectively.
Language eng
Field of Research 119999 Medical and Health Sciences not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2011, Wiley-Blackwell Publishing Asia
Persistent URL http://hdl.handle.net/10536/DRO/DU:30046464

Document type: Journal Article
Collection: Population Health
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