Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths
This study investigated the sensitivity and specificity of the national mortality codes in identifying cardiovascular disease (CVD) deaths and documents methods of verification. A 12‐year retrospective case ascertainment of all ICD‐coded CVD deaths was performed for deaths between 1990 and 2002 in t...
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| Veröffentlicht in: | Australian and New Zealand journal of public health 2011-10, Vol.35 (5), p.466-476 |
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| creator | Harriss, Linton R. Ajani, Andrew E. Hunt, David Shaw, James Chambers, Brian Dewey, Helen Frayne, Judith Beauchamp, Alison Duvé, Karen Giles, Graham G. Harrap, Stephen Magliano, Dianna J. Liew, Danny McNeil, John Peeters, Anna Stebbing, Margaret Wolfe, Rory Tonkin, Andrew |
| description | This study investigated the sensitivity and specificity of the national mortality codes in identifying cardiovascular disease (CVD) deaths and documents methods of verification.
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.
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.
National mortality coding under‐estimated the true proportion of CHD and stroke deaths in the cohort by 13.6% and 50.8%, respectively.
Misclassification of cause of death may have implications for conclusions drawn from epidemiological research. |
| doi_str_mv | 10.1111/j.1753-6405.2011.00739.x |
| format | Article |
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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.
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.
National mortality coding under‐estimated the true proportion of CHD and stroke deaths in the cohort by 13.6% and 50.8%, respectively.
Misclassification of cause of death may have implications for conclusions drawn from epidemiological research.</description><identifier>ISSN: 1326-0200</identifier><identifier>EISSN: 1753-6405</identifier><identifier>DOI: 10.1111/j.1753-6405.2011.00739.x</identifier><identifier>PMID: 21973254</identifier><language>eng</language><publisher>Oxford, UK: Elsevier B.V</publisher><subject>Accuracy ; Adult ; Aged ; Angina pectoris ; Australia - epidemiology ; Autopsies ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - complications ; Cardiovascular Diseases - etiology ; Cardiovascular Diseases - mortality ; Cause of Death ; Cerebral infarction ; Clinical Coding - standards ; Coronary artery disease ; coronary heart disease ; Death ; Death & dying ; Death Certificates ; Disease ; Enzymes ; Epidemiology ; Fatalities ; Female ; Heart attacks ; Heart diseases ; Hemorrhage ; Hospitals ; Humans ; Hypertension ; International Classification of Diseases ; Ischemia ; Lipids ; Male ; medical record ; Medical Records ; Middle Aged ; Mortality ; Myocardial infarction ; Registration ; Reproducibility of Results ; Retrospective Studies ; Risk Factors ; Sensitivity ; Stroke ; Surveillance ; Trends ; validity ; Verification</subject><ispartof>Australian and New Zealand journal of public health, 2011-10, Vol.35 (5), p.466-476</ispartof><rights>2011 Copyright 2011 THE AUTHORS.</rights><rights>2011 The Authors. ANZJPH © 2011 Public Health Association of Australia</rights><rights>2011 The Authors. ANZJPH © 2011 Public Health Association of Australia.</rights><rights>2011. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5929-6c15a9478fceb8792dc3c5b6f3436ea77bc9f2be5fea622cfbca41b580fcdc1c3</citedby><cites>FETCH-LOGICAL-c5929-6c15a9478fceb8792dc3c5b6f3436ea77bc9f2be5fea622cfbca41b580fcdc1c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1753-6405.2011.00739.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1753-6405.2011.00739.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27843,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21973254$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Harriss, Linton R.</creatorcontrib><creatorcontrib>Ajani, Andrew E.</creatorcontrib><creatorcontrib>Hunt, David</creatorcontrib><creatorcontrib>Shaw, James</creatorcontrib><creatorcontrib>Chambers, Brian</creatorcontrib><creatorcontrib>Dewey, Helen</creatorcontrib><creatorcontrib>Frayne, Judith</creatorcontrib><creatorcontrib>Beauchamp, Alison</creatorcontrib><creatorcontrib>Duvé, Karen</creatorcontrib><creatorcontrib>Giles, Graham G.</creatorcontrib><creatorcontrib>Harrap, Stephen</creatorcontrib><creatorcontrib>Magliano, Dianna J.</creatorcontrib><creatorcontrib>Liew, Danny</creatorcontrib><creatorcontrib>McNeil, John</creatorcontrib><creatorcontrib>Peeters, Anna</creatorcontrib><creatorcontrib>Stebbing, Margaret</creatorcontrib><creatorcontrib>Wolfe, Rory</creatorcontrib><creatorcontrib>Tonkin, Andrew</creatorcontrib><title>Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths</title><title>Australian and New Zealand journal of public health</title><addtitle>Aust N Z J Public Health</addtitle><description>This study investigated the sensitivity and specificity of the national mortality codes in identifying cardiovascular disease (CVD) deaths and documents methods of verification.
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.
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.
National mortality coding under‐estimated the true proportion of CHD and stroke deaths in the cohort by 13.6% and 50.8%, respectively.
Misclassification of cause of death may have implications for conclusions drawn from epidemiological research.</description><subject>Accuracy</subject><subject>Adult</subject><subject>Aged</subject><subject>Angina pectoris</subject><subject>Australia - epidemiology</subject><subject>Autopsies</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - complications</subject><subject>Cardiovascular Diseases - etiology</subject><subject>Cardiovascular Diseases - mortality</subject><subject>Cause of Death</subject><subject>Cerebral infarction</subject><subject>Clinical Coding - standards</subject><subject>Coronary artery disease</subject><subject>coronary heart disease</subject><subject>Death</subject><subject>Death & dying</subject><subject>Death Certificates</subject><subject>Disease</subject><subject>Enzymes</subject><subject>Epidemiology</subject><subject>Fatalities</subject><subject>Female</subject><subject>Heart attacks</subject><subject>Heart diseases</subject><subject>Hemorrhage</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>International Classification of Diseases</subject><subject>Ischemia</subject><subject>Lipids</subject><subject>Male</subject><subject>medical record</subject><subject>Medical Records</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Myocardial infarction</subject><subject>Registration</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Sensitivity</subject><subject>Stroke</subject><subject>Surveillance</subject><subject>Trends</subject><subject>validity</subject><subject>Verification</subject><issn>1326-0200</issn><issn>1753-6405</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><recordid>eNqNkU1v1DAQhiMEomXhLyBLHOCS4I_ETg4cthXtVqqAQwtoL5YznoCXbNLaSdn8-3pJ2QMHwBeP5Ocde_wkCWE0Y3G93WRMFSKVOS0yThnLKFWiynaPkuPDweNYCy5Tyik9Sp6FsKE0ooI_TY44q5TgRX6cXC8BRm9gIn1DOjO4vjMt2fZ-MK0bJgK9xUBcR5zFbnDN5LpvxNjNaB2YAS0B463r70yAsTWeWDTD9_A8edKYNuCLh32RXJ-9vzpdpZcfzy9Ol5cpFBWvUgmsMFWuygawLlXFLQgoatmIXEg0StVQNbzGokEjOYemBpOzuihpAxYYiEXyeu574_vbEcOgty4Atq3psB-DrigvaUnjsIvkzV9JVlaslDI-K6Kv_kA3_ejjtwQtqJSUSl7ISJUzBb4PwWOjb7zbGj9pRvVekt7ovQu9d6H3kvQvSXoXoy8fLhjrLdpD8LeVCLybgZ-uxem_G-vl-tMqVjGfznkXBtwd8sb_0FIJVegvH871evX1szpbn-iryJ_MPEZXdw69DuCwA7TOIwza9u7fU90DnVXFmw</recordid><startdate>201110</startdate><enddate>201110</enddate><creator>Harriss, Linton R.</creator><creator>Ajani, Andrew E.</creator><creator>Hunt, David</creator><creator>Shaw, James</creator><creator>Chambers, Brian</creator><creator>Dewey, Helen</creator><creator>Frayne, Judith</creator><creator>Beauchamp, Alison</creator><creator>Duvé, Karen</creator><creator>Giles, Graham G.</creator><creator>Harrap, Stephen</creator><creator>Magliano, Dianna J.</creator><creator>Liew, Danny</creator><creator>McNeil, John</creator><creator>Peeters, Anna</creator><creator>Stebbing, Margaret</creator><creator>Wolfe, Rory</creator><creator>Tonkin, Andrew</creator><general>Elsevier B.V</general><general>Blackwell Publishing Ltd</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7T2</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7U2</scope><scope>7X8</scope></search><sort><creationdate>201110</creationdate><title>Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths</title><author>Harriss, Linton R. ; Ajani, Andrew E. ; Hunt, David ; Shaw, James ; Chambers, Brian ; Dewey, Helen ; Frayne, Judith ; Beauchamp, Alison ; Duvé, Karen ; Giles, Graham G. ; Harrap, Stephen ; Magliano, Dianna J. ; Liew, Danny ; McNeil, John ; Peeters, Anna ; Stebbing, Margaret ; Wolfe, Rory ; Tonkin, Andrew</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5929-6c15a9478fceb8792dc3c5b6f3436ea77bc9f2be5fea622cfbca41b580fcdc1c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Accuracy</topic><topic>Adult</topic><topic>Aged</topic><topic>Angina pectoris</topic><topic>Australia - 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Academic</collection><jtitle>Australian and New Zealand journal of public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Harriss, Linton R.</au><au>Ajani, Andrew E.</au><au>Hunt, David</au><au>Shaw, James</au><au>Chambers, Brian</au><au>Dewey, Helen</au><au>Frayne, Judith</au><au>Beauchamp, Alison</au><au>Duvé, Karen</au><au>Giles, Graham G.</au><au>Harrap, Stephen</au><au>Magliano, Dianna J.</au><au>Liew, Danny</au><au>McNeil, John</au><au>Peeters, Anna</au><au>Stebbing, Margaret</au><au>Wolfe, Rory</au><au>Tonkin, Andrew</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths</atitle><jtitle>Australian and New Zealand journal of public health</jtitle><addtitle>Aust N Z J Public Health</addtitle><date>2011-10</date><risdate>2011</risdate><volume>35</volume><issue>5</issue><spage>466</spage><epage>476</epage><pages>466-476</pages><issn>1326-0200</issn><eissn>1753-6405</eissn><abstract>This study investigated the sensitivity and specificity of the national mortality codes in identifying cardiovascular disease (CVD) deaths and documents methods of verification.
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.
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.
National mortality coding under‐estimated the true proportion of CHD and stroke deaths in the cohort by 13.6% and 50.8%, respectively.
Misclassification of cause of death may have implications for conclusions drawn from epidemiological research.</abstract><cop>Oxford, UK</cop><pub>Elsevier B.V</pub><pmid>21973254</pmid><doi>10.1111/j.1753-6405.2011.00739.x</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Australian and New Zealand journal of public health, 2011-10, Vol.35 (5), p.466-476 |
| issn | 1326-0200 1753-6405 |
| language | eng |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete; PAIS Index; Alma/SFX Local Collection |
| subjects | Accuracy Adult Aged Angina pectoris Australia - epidemiology Autopsies Cardiovascular disease Cardiovascular diseases Cardiovascular Diseases - complications Cardiovascular Diseases - etiology Cardiovascular Diseases - mortality Cause of Death Cerebral infarction Clinical Coding - standards Coronary artery disease coronary heart disease Death Death & dying Death Certificates Disease Enzymes Epidemiology Fatalities Female Heart attacks Heart diseases Hemorrhage Hospitals Humans Hypertension International Classification of Diseases Ischemia Lipids Male medical record Medical Records Middle Aged Mortality Myocardial infarction Registration Reproducibility of Results Retrospective Studies Risk Factors Sensitivity Stroke Surveillance Trends validity Verification |
| title | Accuracy of national mortality codes in identifying adjudicated cardiovascular deaths |
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