Prenatal screening for major congenital heart disease: assessing performance by combining national cardiac audit with maternity data

Objective Determine maternity hospital and lesion-specific prenatal detection rates of major congenital heart disease (mCHD) for hospitals referring prenatally and postnatally to one Congenital Cardiac Centre, and assess interhospital relative performance (relative risk, RR). Methods We manually lin...

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Veröffentlicht in:Heart (British Cardiac Society) 2014-03, Vol.100 (5), p.375-382
Hauptverfasser: Gardiner, Helena M, Kovacevic, Alexander, van der Heijden, Laila B, Pfeiffer, Patricia W, Franklin, Rodney CG, Gibbs, John L, Averiss, Ian E, LaRovere, Joan M
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container_end_page 382
container_issue 5
container_start_page 375
container_title Heart (British Cardiac Society)
container_volume 100
creator Gardiner, Helena M
Kovacevic, Alexander
van der Heijden, Laila B
Pfeiffer, Patricia W
Franklin, Rodney CG
Gibbs, John L
Averiss, Ian E
LaRovere, Joan M
description Objective Determine maternity hospital and lesion-specific prenatal detection rates of major congenital heart disease (mCHD) for hospitals referring prenatally and postnatally to one Congenital Cardiac Centre, and assess interhospital relative performance (relative risk, RR). Methods We manually linked maternity data (3 hospitals prospectively and another 16 retrospectively) with admissions, fetal diagnostic and surgical cardiac data from one Congenital Cardiac Centre. This Centre submits verified information to National Institute for Cardiovascular Outcomes Research (NICOR-Congenital), which publishes aggregate antenatal diagnosis data from infant surgical procedures. We included 120 198 unselected women screened prospectively over 11 years in 3 maternity hospitals (A, B, C). Hospital A: colocated with fetal medicine, proactive superintendent, on-site training, case-review and audit, hospital B: on-site training, proactive superintendent, monthly telemedicine clinics, and hospital C: sonographers supported by local obstetrician. We then studied 321 infants undergoing surgery for complete transposition (transposition of the great arteries (TGA), n=157) and isolated aortic coarctation (CoA, n=164) screened in hospitals A, B, C prospectively, and 16 hospitals retrospectively. Results 385 mCHD recorded prospectively from 120 198 (3.2/1000) screened women in 3 hospitals. Interhospital relative performance (RR) in Hospital A:1.68 (1.4 to 2.0), B:0.70 (0.54 to 0.91), C:0.65 (0.5 to 0.8). Standardised prenatal detection rates (funnel plots) demonstrating inter-hospital variation across 19 hospitals for TGA (37%, 0.00 to 0.81) and CoA (34%, 0.00 to 1.06). Conclusions Manually linking data sources produced hospital-specific and lesion-specific prenatal mCHD detection rates. More granular, rather than aggregate, data provides meaningful feedback to improve screening performance. Automatic maternal and infant record linkage on a national scale, requires verified, prospective maternity audit and integration of health information systems.
doi_str_mv 10.1136/heartjnl-2013-304640
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Methods We manually linked maternity data (3 hospitals prospectively and another 16 retrospectively) with admissions, fetal diagnostic and surgical cardiac data from one Congenital Cardiac Centre. This Centre submits verified information to National Institute for Cardiovascular Outcomes Research (NICOR-Congenital), which publishes aggregate antenatal diagnosis data from infant surgical procedures. We included 120 198 unselected women screened prospectively over 11 years in 3 maternity hospitals (A, B, C). Hospital A: colocated with fetal medicine, proactive superintendent, on-site training, case-review and audit, hospital B: on-site training, proactive superintendent, monthly telemedicine clinics, and hospital C: sonographers supported by local obstetrician. We then studied 321 infants undergoing surgery for complete transposition (transposition of the great arteries (TGA), n=157) and isolated aortic coarctation (CoA, n=164) screened in hospitals A, B, C prospectively, and 16 hospitals retrospectively. Results 385 mCHD recorded prospectively from 120 198 (3.2/1000) screened women in 3 hospitals. Interhospital relative performance (RR) in Hospital A:1.68 (1.4 to 2.0), B:0.70 (0.54 to 0.91), C:0.65 (0.5 to 0.8). Standardised prenatal detection rates (funnel plots) demonstrating inter-hospital variation across 19 hospitals for TGA (37%, 0.00 to 0.81) and CoA (34%, 0.00 to 1.06). Conclusions Manually linking data sources produced hospital-specific and lesion-specific prenatal mCHD detection rates. More granular, rather than aggregate, data provides meaningful feedback to improve screening performance. Automatic maternal and infant record linkage on a national scale, requires verified, prospective maternity audit and integration of health information systems.</description><identifier>ISSN: 1355-6037</identifier><identifier>EISSN: 1468-201X</identifier><identifier>DOI: 10.1136/heartjnl-2013-304640</identifier><identifier>PMID: 24270748</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Audits ; Babies ; Cardiology ; Cardiovascular disease ; Clinical Audit ; Congenital diseases ; Female ; Fetuses ; Heart ; Heart Defects, Congenital - diagnostic imaging ; Heart Defects, Congenital - epidemiology ; Hospitals ; Hospitals, Maternity - statistics &amp; numerical data ; Humans ; Incidence ; Infant, Newborn ; Male ; Mortality ; Obstetrics ; Onsite ; Pregnancy ; Pregnancy Outcome ; Prenatal Diagnosis - methods ; Prospective Studies ; Reproducibility of Results ; Studies ; Surgery ; Ultrasonic imaging ; Ultrasonography, Prenatal - methods ; United States - epidemiology ; Veins &amp; arteries ; Womens health</subject><ispartof>Heart (British Cardiac Society), 2014-03, Vol.100 (5), p.375-382</ispartof><rights>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2014 Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b375t-1d2416e29bfa177378dfcb962279ac1bd098381610f12edca95426baeb1945813</citedby><cites>FETCH-LOGICAL-b375t-1d2416e29bfa177378dfcb962279ac1bd098381610f12edca95426baeb1945813</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://heart.bmj.com/content/100/5/375.full.pdf$$EPDF$$P50$$Gbmj$$H</linktopdf><linktohtml>$$Uhttp://heart.bmj.com/content/100/5/375.full$$EHTML$$P50$$Gbmj$$H</linktohtml><link.rule.ids>114,115,314,780,784,3196,23571,27924,27925,77600,77631</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24270748$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gardiner, Helena M</creatorcontrib><creatorcontrib>Kovacevic, Alexander</creatorcontrib><creatorcontrib>van der Heijden, Laila B</creatorcontrib><creatorcontrib>Pfeiffer, Patricia W</creatorcontrib><creatorcontrib>Franklin, Rodney CG</creatorcontrib><creatorcontrib>Gibbs, John L</creatorcontrib><creatorcontrib>Averiss, Ian E</creatorcontrib><creatorcontrib>LaRovere, Joan M</creatorcontrib><title>Prenatal screening for major congenital heart disease: assessing performance by combining national cardiac audit with maternity data</title><title>Heart (British Cardiac Society)</title><addtitle>Heart</addtitle><description>Objective Determine maternity hospital and lesion-specific prenatal detection rates of major congenital heart disease (mCHD) for hospitals referring prenatally and postnatally to one Congenital Cardiac Centre, and assess interhospital relative performance (relative risk, RR). Methods We manually linked maternity data (3 hospitals prospectively and another 16 retrospectively) with admissions, fetal diagnostic and surgical cardiac data from one Congenital Cardiac Centre. This Centre submits verified information to National Institute for Cardiovascular Outcomes Research (NICOR-Congenital), which publishes aggregate antenatal diagnosis data from infant surgical procedures. We included 120 198 unselected women screened prospectively over 11 years in 3 maternity hospitals (A, B, C). Hospital A: colocated with fetal medicine, proactive superintendent, on-site training, case-review and audit, hospital B: on-site training, proactive superintendent, monthly telemedicine clinics, and hospital C: sonographers supported by local obstetrician. We then studied 321 infants undergoing surgery for complete transposition (transposition of the great arteries (TGA), n=157) and isolated aortic coarctation (CoA, n=164) screened in hospitals A, B, C prospectively, and 16 hospitals retrospectively. Results 385 mCHD recorded prospectively from 120 198 (3.2/1000) screened women in 3 hospitals. Interhospital relative performance (RR) in Hospital A:1.68 (1.4 to 2.0), B:0.70 (0.54 to 0.91), C:0.65 (0.5 to 0.8). Standardised prenatal detection rates (funnel plots) demonstrating inter-hospital variation across 19 hospitals for TGA (37%, 0.00 to 0.81) and CoA (34%, 0.00 to 1.06). Conclusions Manually linking data sources produced hospital-specific and lesion-specific prenatal mCHD detection rates. More granular, rather than aggregate, data provides meaningful feedback to improve screening performance. Automatic maternal and infant record linkage on a national scale, requires verified, prospective maternity audit and integration of health information systems.</description><subject>Audits</subject><subject>Babies</subject><subject>Cardiology</subject><subject>Cardiovascular disease</subject><subject>Clinical Audit</subject><subject>Congenital diseases</subject><subject>Female</subject><subject>Fetuses</subject><subject>Heart</subject><subject>Heart Defects, Congenital - diagnostic imaging</subject><subject>Heart Defects, Congenital - epidemiology</subject><subject>Hospitals</subject><subject>Hospitals, Maternity - statistics &amp; numerical data</subject><subject>Humans</subject><subject>Incidence</subject><subject>Infant, Newborn</subject><subject>Male</subject><subject>Mortality</subject><subject>Obstetrics</subject><subject>Onsite</subject><subject>Pregnancy</subject><subject>Pregnancy Outcome</subject><subject>Prenatal Diagnosis - methods</subject><subject>Prospective Studies</subject><subject>Reproducibility of Results</subject><subject>Studies</subject><subject>Surgery</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonography, Prenatal - methods</subject><subject>United States - epidemiology</subject><subject>Veins &amp; 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arteries</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gardiner, Helena M</creatorcontrib><creatorcontrib>Kovacevic, Alexander</creatorcontrib><creatorcontrib>van der Heijden, Laila B</creatorcontrib><creatorcontrib>Pfeiffer, Patricia W</creatorcontrib><creatorcontrib>Franklin, Rodney CG</creatorcontrib><creatorcontrib>Gibbs, John L</creatorcontrib><creatorcontrib>Averiss, Ian E</creatorcontrib><creatorcontrib>LaRovere, Joan M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Heart (British Cardiac Society)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gardiner, Helena M</au><au>Kovacevic, Alexander</au><au>van der Heijden, Laila B</au><au>Pfeiffer, Patricia W</au><au>Franklin, Rodney CG</au><au>Gibbs, John L</au><au>Averiss, Ian E</au><au>LaRovere, Joan M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prenatal screening for major congenital heart disease: assessing performance by combining national cardiac audit with maternity data</atitle><jtitle>Heart (British Cardiac Society)</jtitle><addtitle>Heart</addtitle><date>2014-03</date><risdate>2014</risdate><volume>100</volume><issue>5</issue><spage>375</spage><epage>382</epage><pages>375-382</pages><issn>1355-6037</issn><eissn>1468-201X</eissn><abstract>Objective Determine maternity hospital and lesion-specific prenatal detection rates of major congenital heart disease (mCHD) for hospitals referring prenatally and postnatally to one Congenital Cardiac Centre, and assess interhospital relative performance (relative risk, RR). Methods We manually linked maternity data (3 hospitals prospectively and another 16 retrospectively) with admissions, fetal diagnostic and surgical cardiac data from one Congenital Cardiac Centre. This Centre submits verified information to National Institute for Cardiovascular Outcomes Research (NICOR-Congenital), which publishes aggregate antenatal diagnosis data from infant surgical procedures. We included 120 198 unselected women screened prospectively over 11 years in 3 maternity hospitals (A, B, C). Hospital A: colocated with fetal medicine, proactive superintendent, on-site training, case-review and audit, hospital B: on-site training, proactive superintendent, monthly telemedicine clinics, and hospital C: sonographers supported by local obstetrician. We then studied 321 infants undergoing surgery for complete transposition (transposition of the great arteries (TGA), n=157) and isolated aortic coarctation (CoA, n=164) screened in hospitals A, B, C prospectively, and 16 hospitals retrospectively. Results 385 mCHD recorded prospectively from 120 198 (3.2/1000) screened women in 3 hospitals. Interhospital relative performance (RR) in Hospital A:1.68 (1.4 to 2.0), B:0.70 (0.54 to 0.91), C:0.65 (0.5 to 0.8). Standardised prenatal detection rates (funnel plots) demonstrating inter-hospital variation across 19 hospitals for TGA (37%, 0.00 to 0.81) and CoA (34%, 0.00 to 1.06). Conclusions Manually linking data sources produced hospital-specific and lesion-specific prenatal mCHD detection rates. More granular, rather than aggregate, data provides meaningful feedback to improve screening performance. Automatic maternal and infant record linkage on a national scale, requires verified, prospective maternity audit and integration of health information systems.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>24270748</pmid><doi>10.1136/heartjnl-2013-304640</doi><tpages>8</tpages></addata></record>
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subjects Audits
Babies
Cardiology
Cardiovascular disease
Clinical Audit
Congenital diseases
Female
Fetuses
Heart
Heart Defects, Congenital - diagnostic imaging
Heart Defects, Congenital - epidemiology
Hospitals
Hospitals, Maternity - statistics & numerical data
Humans
Incidence
Infant, Newborn
Male
Mortality
Obstetrics
Onsite
Pregnancy
Pregnancy Outcome
Prenatal Diagnosis - methods
Prospective Studies
Reproducibility of Results
Studies
Surgery
Ultrasonic imaging
Ultrasonography, Prenatal - methods
United States - epidemiology
Veins & arteries
Womens health
title Prenatal screening for major congenital heart disease: assessing performance by combining national cardiac audit with maternity data
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