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Completeness of state administrative databases for surveillance of congenital heart disease
BACKGROUND Tracking birth prevalence of cardiac defects is essential to determining time and space clusters, and identifying potential associated factors. Resource limitations on state birth defects surveillance programs sometimes require that databases already available be used for ascertaining suc...
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| Published in: | Birth defects research. A Clinical and molecular teratology 2003-09, Vol.67 (9), p.597-603 |
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| container_end_page | 603 |
| container_issue | 9 |
| container_start_page | 597 |
| container_title | Birth defects research. A Clinical and molecular teratology |
| container_volume | 67 |
| creator | Cronk, Christine E. Malloy, Marsha E. Pelech, Andrew N. Miller, Richard E. Meyer, Sally A. Cowell, Melissa McCarver, D. Gail |
| description | BACKGROUND
Tracking birth prevalence of cardiac defects is essential to determining time and space clusters, and identifying potential associated factors. Resource limitations on state birth defects surveillance programs sometimes require that databases already available be used for ascertaining such defects. This study evaluated the data quality of state administrative databases for ascertaining congenital heart defects (CHD) and specific diagnoses of CHD.
METHODS
Children's Hospital of Wisconsin (CHW) medical records for infants born 1997–1999 and treated for CHD (n = 373) were ed and each case assigned CHD diagnoses based on definitive diagnostic reports (echocardiograms, catheterizations, surgical or autopsy reports). These data were linked to state birth and death records, and birth and postnatal ( |
| doi_str_mv | 10.1002/bdra.10107 |
| format | article |
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Tracking birth prevalence of cardiac defects is essential to determining time and space clusters, and identifying potential associated factors. Resource limitations on state birth defects surveillance programs sometimes require that databases already available be used for ascertaining such defects. This study evaluated the data quality of state administrative databases for ascertaining congenital heart defects (CHD) and specific diagnoses of CHD.
METHODS
Children's Hospital of Wisconsin (CHW) medical records for infants born 1997–1999 and treated for CHD (n = 373) were ed and each case assigned CHD diagnoses based on definitive diagnostic reports (echocardiograms, catheterizations, surgical or autopsy reports). These data were linked to state birth and death records, and birth and postnatal (<1 year of age) hospital discharge summaries at the Wisconsin Bureau of Health Information (WBHI). Presence of any code/checkbox indicating CHD (generic CHD) and exact matches to ed diagnoses were evaluated.
RESULTS
Fifty‐eight percent of cases with generic CHD were identified by state databases. Postnatal hospital discharge summaries identified 48%, birth hospital discharge summaries 27%, birth certificates 9% and death records 4% of these cases. Exact matches were found for 52% of 633 specific diagnoses. Postnatal hospital discharge summaries provided most matches.
CONCLUSION
State databases identified 60% of generic CHD and exactly matched about half of specific CHD diagnoses. The postnatal hospital discharge summaries performed best in both in identifying generic CHD and matching specific CHD diagnoses. Vital records had limited value in ascertaining CHD. Birth Defects Research (Part A) 67:597–603, 2003. © 2003 Wiley‐Liss, Inc.</description><identifier>ISSN: 1542-0752</identifier><identifier>EISSN: 1542-0760</identifier><identifier>DOI: 10.1002/bdra.10107</identifier><identifier>PMID: 14703780</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Birth Certificates ; birth defects ; congenital heart disease ; Databases, Factual ; Death Certificates ; Heart Defects, Congenital - diagnosis ; Heart Defects, Congenital - epidemiology ; Hospitals, State ; Humans ; Infant, Newborn ; Prevalence ; Retrospective Studies ; Sentinel Surveillance ; State Government ; surveillance ; Wisconsin - epidemiology</subject><ispartof>Birth defects research. A Clinical and molecular teratology, 2003-09, Vol.67 (9), p.597-603</ispartof><rights>Copyright © 2003 Wiley‐Liss, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4297-e4a0a8f8cb7d8015882e5a8a4b067a18ced67a2d95e5642a01f7626fcce72a323</citedby><cites>FETCH-LOGICAL-c4297-e4a0a8f8cb7d8015882e5a8a4b067a18ced67a2d95e5642a01f7626fcce72a323</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/14703780$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cronk, Christine E.</creatorcontrib><creatorcontrib>Malloy, Marsha E.</creatorcontrib><creatorcontrib>Pelech, Andrew N.</creatorcontrib><creatorcontrib>Miller, Richard E.</creatorcontrib><creatorcontrib>Meyer, Sally A.</creatorcontrib><creatorcontrib>Cowell, Melissa</creatorcontrib><creatorcontrib>McCarver, D. Gail</creatorcontrib><title>Completeness of state administrative databases for surveillance of congenital heart disease</title><title>Birth defects research. A Clinical and molecular teratology</title><addtitle>Birth Defects Research Part A: Clinical and Molecular Teratology</addtitle><description>BACKGROUND
Tracking birth prevalence of cardiac defects is essential to determining time and space clusters, and identifying potential associated factors. Resource limitations on state birth defects surveillance programs sometimes require that databases already available be used for ascertaining such defects. This study evaluated the data quality of state administrative databases for ascertaining congenital heart defects (CHD) and specific diagnoses of CHD.
METHODS
Children's Hospital of Wisconsin (CHW) medical records for infants born 1997–1999 and treated for CHD (n = 373) were ed and each case assigned CHD diagnoses based on definitive diagnostic reports (echocardiograms, catheterizations, surgical or autopsy reports). These data were linked to state birth and death records, and birth and postnatal (<1 year of age) hospital discharge summaries at the Wisconsin Bureau of Health Information (WBHI). Presence of any code/checkbox indicating CHD (generic CHD) and exact matches to ed diagnoses were evaluated.
RESULTS
Fifty‐eight percent of cases with generic CHD were identified by state databases. Postnatal hospital discharge summaries identified 48%, birth hospital discharge summaries 27%, birth certificates 9% and death records 4% of these cases. Exact matches were found for 52% of 633 specific diagnoses. Postnatal hospital discharge summaries provided most matches.
CONCLUSION
State databases identified 60% of generic CHD and exactly matched about half of specific CHD diagnoses. The postnatal hospital discharge summaries performed best in both in identifying generic CHD and matching specific CHD diagnoses. Vital records had limited value in ascertaining CHD. Birth Defects Research (Part A) 67:597–603, 2003. © 2003 Wiley‐Liss, Inc.</description><subject>Birth Certificates</subject><subject>birth defects</subject><subject>congenital heart disease</subject><subject>Databases, Factual</subject><subject>Death Certificates</subject><subject>Heart Defects, Congenital - diagnosis</subject><subject>Heart Defects, Congenital - epidemiology</subject><subject>Hospitals, State</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Prevalence</subject><subject>Retrospective Studies</subject><subject>Sentinel Surveillance</subject><subject>State Government</subject><subject>surveillance</subject><subject>Wisconsin - epidemiology</subject><issn>1542-0752</issn><issn>1542-0760</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNp9kM8vBDEYhhshrOXiD5A5OUiGtjOd1nEtuyRCCJFwaL7pfEOZH6vtLv57s3Zxc_rew_O--fIQssPoAaOUH-aFgy4xKldIj4mUx1RmdPU3C75BNr1_6dhESrlONlgqaSIV7ZHHYVtPKgzYoPdRW0Y-QMAIito21gcHwc4wKiBADh59VLYu8lM3Q1tV0BicV0zbPGFjA1TRM4ILUWE9dvQWWSuh8ri9vH1yNzq9HZ7FF1fj8-HgIjYpP5IxpkBBlcrkslCUCaU4ClCQ5jSTwJTBoru8OBIospQDZaXMeFYag5JDwpM-2VvsTlz7NkUfdG29wfmD2E69lkzQVCSiA_cXoHGt9w5LPXG2BvepGdVzlXquUn-r7ODd5eo0r7H4Q5fuOoAtgHdb4ec_U_r45GbwMxovOp1b_PjtgHvVmUyk0PeXY03FSF0_PEg9Tr4AgfCOxQ</recordid><startdate>200309</startdate><enddate>200309</enddate><creator>Cronk, Christine E.</creator><creator>Malloy, Marsha E.</creator><creator>Pelech, Andrew N.</creator><creator>Miller, Richard E.</creator><creator>Meyer, Sally A.</creator><creator>Cowell, Melissa</creator><creator>McCarver, D. Gail</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><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>7X8</scope></search><sort><creationdate>200309</creationdate><title>Completeness of state administrative databases for surveillance of congenital heart disease</title><author>Cronk, Christine E. ; Malloy, Marsha E. ; Pelech, Andrew N. ; Miller, Richard E. ; Meyer, Sally A. ; Cowell, Melissa ; McCarver, D. Gail</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4297-e4a0a8f8cb7d8015882e5a8a4b067a18ced67a2d95e5642a01f7626fcce72a323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>Birth Certificates</topic><topic>birth defects</topic><topic>congenital heart disease</topic><topic>Databases, Factual</topic><topic>Death Certificates</topic><topic>Heart Defects, Congenital - diagnosis</topic><topic>Heart Defects, Congenital - epidemiology</topic><topic>Hospitals, State</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Prevalence</topic><topic>Retrospective Studies</topic><topic>Sentinel Surveillance</topic><topic>State Government</topic><topic>surveillance</topic><topic>Wisconsin - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cronk, Christine E.</creatorcontrib><creatorcontrib>Malloy, Marsha E.</creatorcontrib><creatorcontrib>Pelech, Andrew N.</creatorcontrib><creatorcontrib>Miller, Richard E.</creatorcontrib><creatorcontrib>Meyer, Sally A.</creatorcontrib><creatorcontrib>Cowell, Melissa</creatorcontrib><creatorcontrib>McCarver, D. Gail</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Birth defects research. A Clinical and molecular teratology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cronk, Christine E.</au><au>Malloy, Marsha E.</au><au>Pelech, Andrew N.</au><au>Miller, Richard E.</au><au>Meyer, Sally A.</au><au>Cowell, Melissa</au><au>McCarver, D. Gail</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Completeness of state administrative databases for surveillance of congenital heart disease</atitle><jtitle>Birth defects research. A Clinical and molecular teratology</jtitle><addtitle>Birth Defects Research Part A: Clinical and Molecular Teratology</addtitle><date>2003-09</date><risdate>2003</risdate><volume>67</volume><issue>9</issue><spage>597</spage><epage>603</epage><pages>597-603</pages><issn>1542-0752</issn><eissn>1542-0760</eissn><abstract>BACKGROUND
Tracking birth prevalence of cardiac defects is essential to determining time and space clusters, and identifying potential associated factors. Resource limitations on state birth defects surveillance programs sometimes require that databases already available be used for ascertaining such defects. This study evaluated the data quality of state administrative databases for ascertaining congenital heart defects (CHD) and specific diagnoses of CHD.
METHODS
Children's Hospital of Wisconsin (CHW) medical records for infants born 1997–1999 and treated for CHD (n = 373) were ed and each case assigned CHD diagnoses based on definitive diagnostic reports (echocardiograms, catheterizations, surgical or autopsy reports). These data were linked to state birth and death records, and birth and postnatal (<1 year of age) hospital discharge summaries at the Wisconsin Bureau of Health Information (WBHI). Presence of any code/checkbox indicating CHD (generic CHD) and exact matches to ed diagnoses were evaluated.
RESULTS
Fifty‐eight percent of cases with generic CHD were identified by state databases. Postnatal hospital discharge summaries identified 48%, birth hospital discharge summaries 27%, birth certificates 9% and death records 4% of these cases. Exact matches were found for 52% of 633 specific diagnoses. Postnatal hospital discharge summaries provided most matches.
CONCLUSION
State databases identified 60% of generic CHD and exactly matched about half of specific CHD diagnoses. The postnatal hospital discharge summaries performed best in both in identifying generic CHD and matching specific CHD diagnoses. Vital records had limited value in ascertaining CHD. Birth Defects Research (Part A) 67:597–603, 2003. © 2003 Wiley‐Liss, Inc.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>14703780</pmid><doi>10.1002/bdra.10107</doi><tpages>7</tpages></addata></record> |
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| ispartof | Birth defects research. A Clinical and molecular teratology, 2003-09, Vol.67 (9), p.597-603 |
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| subjects | Birth Certificates birth defects congenital heart disease Databases, Factual Death Certificates Heart Defects, Congenital - diagnosis Heart Defects, Congenital - epidemiology Hospitals, State Humans Infant, Newborn Prevalence Retrospective Studies Sentinel Surveillance State Government surveillance Wisconsin - epidemiology |
| title | Completeness of state administrative databases for surveillance of congenital heart disease |
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