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Algorithms to estimate the beginning of pregnancy in administrative databases
ABSTRACT Purpose The role of administrative databases for research on drug safety during pregnancy can be limited by their inaccurate assessment of the timing of exposure, as the gestational age at birth is typically unavailable. Therefore, we sought to develop and validate algorithms to estimate th...
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Published in: | Pharmacoepidemiology and drug safety 2013-01, Vol.22 (1), p.16-24 |
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container_title | Pharmacoepidemiology and drug safety |
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creator | Margulis, Andrea V. Setoguchi, Soko Mittleman, Murray A. Glynn, Robert J. Dormuth, Colin R. Hernández-Díaz, Sonia |
description | ABSTRACT
Purpose
The role of administrative databases for research on drug safety during pregnancy can be limited by their inaccurate assessment of the timing of exposure, as the gestational age at birth is typically unavailable. Therefore, we sought to develop and validate algorithms to estimate the gestational age at birth using information available in these databases.
Methods
Using a population‐based cohort of 286,432 mother–child pairs in British Columbia (1998–2007), we validated an ICD‐9/10‐based preterm‐status indicator and developed algorithms to estimate the gestational age at birth on the basis of this indicator, maternal age, singleton/multiple status, and claims for routine prenatal care tests. We assessed the accuracy of the algorithm‐based estimates relative to the gold standard of the clinical gestational age at birth recorded in the delivery discharge record.
Results
The preterm‐status indicator had specificity and sensitivity of 98% and 91%, respectively. Estimates from an algorithm that assigned 35 weeks of gestational age at birth to deliveries with the preterm‐status indicator and 39 weeks to those without them were within 2 weeks of the clinical gestational age at birth in 75% of preterm and 99% of term deliveries.
Conclusions
Subtracting 35 weeks (245 days) from the date of birth in deliveries with codes for preterm birth and 39 weeks (273 days) in those without them provided the optimal estimate of the beginning of pregnancy among the algorithms studied. Copyright © 2012 John Wiley & Sons, Ltd. |
doi_str_mv | 10.1002/pds.3284 |
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Purpose
The role of administrative databases for research on drug safety during pregnancy can be limited by their inaccurate assessment of the timing of exposure, as the gestational age at birth is typically unavailable. Therefore, we sought to develop and validate algorithms to estimate the gestational age at birth using information available in these databases.
Methods
Using a population‐based cohort of 286,432 mother–child pairs in British Columbia (1998–2007), we validated an ICD‐9/10‐based preterm‐status indicator and developed algorithms to estimate the gestational age at birth on the basis of this indicator, maternal age, singleton/multiple status, and claims for routine prenatal care tests. We assessed the accuracy of the algorithm‐based estimates relative to the gold standard of the clinical gestational age at birth recorded in the delivery discharge record.
Results
The preterm‐status indicator had specificity and sensitivity of 98% and 91%, respectively. Estimates from an algorithm that assigned 35 weeks of gestational age at birth to deliveries with the preterm‐status indicator and 39 weeks to those without them were within 2 weeks of the clinical gestational age at birth in 75% of preterm and 99% of term deliveries.
Conclusions
Subtracting 35 weeks (245 days) from the date of birth in deliveries with codes for preterm birth and 39 weeks (273 days) in those without them provided the optimal estimate of the beginning of pregnancy among the algorithms studied. Copyright © 2012 John Wiley & Sons, Ltd.</description><identifier>ISSN: 1053-8569</identifier><identifier>EISSN: 1099-1557</identifier><identifier>DOI: 10.1002/pds.3284</identifier><identifier>PMID: 22550030</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Algorithms ; British Columbia ; claims databases ; Databases, Factual - statistics & numerical data ; duration of pregnancy ; Female ; Gestational Age ; Humans ; Infant, Newborn ; last menstrual period ; Obstetrics ; pharmacoepidemiology ; Pregnancy ; premature birth ; Premature Birth - epidemiology ; Prenatal development ; Sensitivity and Specificity ; term birth</subject><ispartof>Pharmacoepidemiology and drug safety, 2013-01, Vol.22 (1), p.16-24</ispartof><rights>Copyright © 2012 John Wiley & Sons, Ltd.</rights><rights>Copyright © 2013 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4764-f5600464c583171c17e19d0ed09f7d37dc54ca529bd6963cc19f4eda13889cf13</citedby><cites>FETCH-LOGICAL-c4764-f5600464c583171c17e19d0ed09f7d37dc54ca529bd6963cc19f4eda13889cf13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22550030$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Margulis, Andrea V.</creatorcontrib><creatorcontrib>Setoguchi, Soko</creatorcontrib><creatorcontrib>Mittleman, Murray A.</creatorcontrib><creatorcontrib>Glynn, Robert J.</creatorcontrib><creatorcontrib>Dormuth, Colin R.</creatorcontrib><creatorcontrib>Hernández-Díaz, Sonia</creatorcontrib><title>Algorithms to estimate the beginning of pregnancy in administrative databases</title><title>Pharmacoepidemiology and drug safety</title><addtitle>Pharmacoepidemiol Drug Saf</addtitle><description>ABSTRACT
Purpose
The role of administrative databases for research on drug safety during pregnancy can be limited by their inaccurate assessment of the timing of exposure, as the gestational age at birth is typically unavailable. Therefore, we sought to develop and validate algorithms to estimate the gestational age at birth using information available in these databases.
Methods
Using a population‐based cohort of 286,432 mother–child pairs in British Columbia (1998–2007), we validated an ICD‐9/10‐based preterm‐status indicator and developed algorithms to estimate the gestational age at birth on the basis of this indicator, maternal age, singleton/multiple status, and claims for routine prenatal care tests. We assessed the accuracy of the algorithm‐based estimates relative to the gold standard of the clinical gestational age at birth recorded in the delivery discharge record.
Results
The preterm‐status indicator had specificity and sensitivity of 98% and 91%, respectively. Estimates from an algorithm that assigned 35 weeks of gestational age at birth to deliveries with the preterm‐status indicator and 39 weeks to those without them were within 2 weeks of the clinical gestational age at birth in 75% of preterm and 99% of term deliveries.
Conclusions
Subtracting 35 weeks (245 days) from the date of birth in deliveries with codes for preterm birth and 39 weeks (273 days) in those without them provided the optimal estimate of the beginning of pregnancy among the algorithms studied. Copyright © 2012 John Wiley & Sons, Ltd.</description><subject>Algorithms</subject><subject>British Columbia</subject><subject>claims databases</subject><subject>Databases, Factual - statistics & numerical data</subject><subject>duration of pregnancy</subject><subject>Female</subject><subject>Gestational Age</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>last menstrual period</subject><subject>Obstetrics</subject><subject>pharmacoepidemiology</subject><subject>Pregnancy</subject><subject>premature birth</subject><subject>Premature Birth - epidemiology</subject><subject>Prenatal development</subject><subject>Sensitivity and Specificity</subject><subject>term birth</subject><issn>1053-8569</issn><issn>1099-1557</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp1kV1rFDEUhoMo9kPBXyAD3ngzNd-Z3Ail2iq0Kvh1GbLJmdnUmWRNZlv335ul6_oB5uYEzsPDe3gRekLwCcGYvlj5csJox--hQ4K1bokQ6v72L1jbCakP0FEp1xjXneYP0QGlQmDM8CG6Oh2HlMO8nEozpwbKHCY7QzMvoVnAEGIMcWhS36wyDNFGt2lCbKyfQgxlznYON9B4O9uFLVAeoQe9HQs83s1j9Pn89aezN-3l-4u3Z6eXreNK8rYXEmMuuRMdI4o4ooBoj8Fj3SvPlHeCOyuoXnipJXOO6J6Dt4R1nXY9Ycfo5Z13tV5M4B3EGmU0q1zD541JNpi_NzEszZBuDONMUdpVwfOdIKfv63q1mUJxMI42QloXQ6hijApMVEWf_YNep3WO9TxDOCf1dRT_FrqcSsnQ78MQbLYdmdqR2XZU0ad_ht-Dv0qpQHsH3IYRNv8VmQ-vPu6EO742Aj_2vM3fjFRMCfP13YU5l1-YvMLECPYTFoOqFg</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Margulis, Andrea V.</creator><creator>Setoguchi, Soko</creator><creator>Mittleman, Murray A.</creator><creator>Glynn, Robert J.</creator><creator>Dormuth, Colin R.</creator><creator>Hernández-Díaz, Sonia</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</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>7TK</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201301</creationdate><title>Algorithms to estimate the beginning of pregnancy in administrative databases</title><author>Margulis, Andrea V. ; Setoguchi, Soko ; Mittleman, Murray A. ; Glynn, Robert J. ; Dormuth, Colin R. ; Hernández-Díaz, Sonia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4764-f5600464c583171c17e19d0ed09f7d37dc54ca529bd6963cc19f4eda13889cf13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Algorithms</topic><topic>British Columbia</topic><topic>claims databases</topic><topic>Databases, Factual - statistics & numerical data</topic><topic>duration of pregnancy</topic><topic>Female</topic><topic>Gestational Age</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>last menstrual period</topic><topic>Obstetrics</topic><topic>pharmacoepidemiology</topic><topic>Pregnancy</topic><topic>premature birth</topic><topic>Premature Birth - epidemiology</topic><topic>Prenatal development</topic><topic>Sensitivity and Specificity</topic><topic>term birth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Margulis, Andrea V.</creatorcontrib><creatorcontrib>Setoguchi, Soko</creatorcontrib><creatorcontrib>Mittleman, Murray A.</creatorcontrib><creatorcontrib>Glynn, Robert J.</creatorcontrib><creatorcontrib>Dormuth, Colin R.</creatorcontrib><creatorcontrib>Hernández-Díaz, Sonia</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>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Pharmacoepidemiology and drug safety</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Margulis, Andrea V.</au><au>Setoguchi, Soko</au><au>Mittleman, Murray A.</au><au>Glynn, Robert J.</au><au>Dormuth, Colin R.</au><au>Hernández-Díaz, Sonia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Algorithms to estimate the beginning of pregnancy in administrative databases</atitle><jtitle>Pharmacoepidemiology and drug safety</jtitle><addtitle>Pharmacoepidemiol Drug Saf</addtitle><date>2013-01</date><risdate>2013</risdate><volume>22</volume><issue>1</issue><spage>16</spage><epage>24</epage><pages>16-24</pages><issn>1053-8569</issn><eissn>1099-1557</eissn><abstract>ABSTRACT
Purpose
The role of administrative databases for research on drug safety during pregnancy can be limited by their inaccurate assessment of the timing of exposure, as the gestational age at birth is typically unavailable. Therefore, we sought to develop and validate algorithms to estimate the gestational age at birth using information available in these databases.
Methods
Using a population‐based cohort of 286,432 mother–child pairs in British Columbia (1998–2007), we validated an ICD‐9/10‐based preterm‐status indicator and developed algorithms to estimate the gestational age at birth on the basis of this indicator, maternal age, singleton/multiple status, and claims for routine prenatal care tests. We assessed the accuracy of the algorithm‐based estimates relative to the gold standard of the clinical gestational age at birth recorded in the delivery discharge record.
Results
The preterm‐status indicator had specificity and sensitivity of 98% and 91%, respectively. Estimates from an algorithm that assigned 35 weeks of gestational age at birth to deliveries with the preterm‐status indicator and 39 weeks to those without them were within 2 weeks of the clinical gestational age at birth in 75% of preterm and 99% of term deliveries.
Conclusions
Subtracting 35 weeks (245 days) from the date of birth in deliveries with codes for preterm birth and 39 weeks (273 days) in those without them provided the optimal estimate of the beginning of pregnancy among the algorithms studied. Copyright © 2012 John Wiley & Sons, Ltd.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>22550030</pmid><doi>10.1002/pds.3284</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms British Columbia claims databases Databases, Factual - statistics & numerical data duration of pregnancy Female Gestational Age Humans Infant, Newborn last menstrual period Obstetrics pharmacoepidemiology Pregnancy premature birth Premature Birth - epidemiology Prenatal development Sensitivity and Specificity term birth |
title | Algorithms to estimate the beginning of pregnancy in administrative databases |
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