Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/16693
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dc.contributor.authorHarriss, Linton R-
dc.contributor.authorAjani, Andrew E-
dc.contributor.authorHunt, David-
dc.contributor.authorShaw, James-
dc.contributor.authorChambers, Brian R-
dc.contributor.authorDewey, Helen-
dc.contributor.authorFrayne, Judith-
dc.contributor.authorBeauchamp, Alison-
dc.contributor.authorDuvé, Karen-
dc.contributor.authorGiles, Graham G-
dc.contributor.authorHarrap, Stephen-
dc.contributor.authorMagliano, Dianna J-
dc.contributor.authorLiew, Danny-
dc.contributor.authorMcNeil, John-
dc.contributor.authorPeeters, Anna-
dc.contributor.authorStebbing, Margaret-
dc.contributor.authorWolfe, Rory-
dc.contributor.authorTonkin, Andrew-
dc.date2011-09-12-
dc.date.accessioned2017-06-29T02:02:54Z-
dc.date.available2017-06-29T02:02:54Z-
dc.date.issued2011-10-
dc.identifier.citationAustralian and New Zealand Journal of Public Health 2011; 35(5): 466-476en_US
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/16693-
dc.description.abstractOBJECTIVE: 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. IMPLICATIONS: Misclassification of cause of death may have implications for conclusions drawn from epidemiological research.en_US
dc.subjectCardiovascular Diseasesen_US
dc.subjectCause of Deathen_US
dc.subjectClinical Codingen_US
dc.titleAccuracy of national mortality codes in identifying adjudicated cardiovascular deathsen_US
dc.typeJournal Articleen_US
dc.identifier.journaltitleAustralian and New Zealand Journal of Public Healthen_US
dc.identifier.affiliationDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationStrategy and Planning, Ambulance Victoria, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationDepartment of Cardiology, Royal Melbourne Hospital, Parkville, Victoria, Australiaen_US
dc.identifier.affiliationThe University of Melbourne, Parkville, Victoria, Australia, Australiaen_US
dc.identifier.affiliationDepartment of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationDepartment of Neurology, Austin Health, Heidelberg, Victoria, Australiaen_US
dc.identifier.affiliationCancer Epidemiology Centre, The Cancer Council Victoria, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationCentre for Molecular, Environmental, Genetic and Analytic (MEGA) Epidemiology, School of Population Health, The University of Melbourne, Parkville, Victoria, Australiaen_US
dc.identifier.affiliationDepartment of Physiology, The University of Melbourne, Parkville, Victoria, Australiaen_US
dc.identifier.affiliationBaker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australiaen_US
dc.identifier.affiliationCentre for Clinical Epidemiology, Biostatistics and Health Services Research, Royal Melbourne Hospital, Parkville, Victoria, Australiaen_US
dc.identifier.pubmedurihttps://pubmed.ncbi.nlm.nih.gov/21973254en_US
dc.identifier.doi10.1111/j.1753-6405.2011.00739.xen_US
dc.type.contentTexten_US
dc.type.austinJournal Articleen_US
local.name.researcherChambers, Brian R
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.cerifentitytypePublications-
crisitem.author.deptNeurology-
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