{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,11]],"date-time":"2026-10-11T08:03:06Z","timestamp":1791705786170,"version":"4.3.4"},"reference-count":33,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2012,5,2]],"date-time":"2012-05-02T00:00:00Z","timestamp":1335916800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"NICHD","award":["R21HD055479"],"award-info":[{"award-number":["R21HD055479"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pharmacoepidemiology and Drug"],"published-print":{"date-parts":[[2013,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Using a population\u2010based cohort of 286,432 mother\u2013child pairs in British Columbia (1998\u20132007), we validated an ICD\u20109\/10\u2010based preterm\u2010status 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\u2010based estimates relative to the gold standard of the clinical gestational age at birth recorded in the delivery discharge record.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The preterm\u2010status indicator had specificity and sensitivity of 98% and 91%, respectively. Estimates from an algorithm that assigned 35\u2009weeks of gestational age at birth to deliveries with the preterm\u2010status indicator and 39\u2009weeks to those without them were within 2\u2009weeks of the clinical gestational age at birth in 75% of preterm and 99% of term deliveries.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Subtracting 35\u2009weeks (245\u2009days) from the date of birth in deliveries with codes for preterm birth and 39\u2009weeks (273\u2009days) in those without them provided the optimal estimate of the beginning of pregnancy among the algorithms studied. Copyright \u00a9 2012 John Wiley &amp; Sons, Ltd.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/pds.3284","type":"journal-article","created":{"date-parts":[[2012,5,2]],"date-time":"2012-05-02T07:12:37Z","timestamp":1335942757000},"page":"16-24","source":"Crossref","is-referenced-by-count":220,"title":["Algorithms to estimate the beginning of pregnancy in administrative databases"],"prefix":"10.1002","volume":"22","author":[{"given":"Andrea V.","family":"Margulis","sequence":"first","affiliation":[{"name":"Department of Epidemiology Harvard School of Public Health  Boston MA USA"},{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics Brigham and Women's Hospital  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soko","family":"Setoguchi","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Harvard School of Public Health  Boston MA USA"},{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics Brigham and Women's Hospital  Boston MA USA"},{"name":"Duke Clinical Research Institute and Department of Medicine Duke University School of Medicine  NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Murray A.","family":"Mittleman","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Harvard School of Public Health  Boston MA USA"},{"name":"Cardiovascular Epidemiology Research Unit Beth Israel Deaconess Medical Center  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert J.","family":"Glynn","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Harvard School of Public Health  Boston MA USA"},{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics Brigham and Women's Hospital  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Colin R.","family":"Dormuth","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Pharmacology &amp; Therapeutics, Faculty of Medicine University of British Columbia  Vancouver BC Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sonia","family":"Hern\u00e1ndez\u2010D\u00edaz","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Harvard School of Public Health  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2012,5,2]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.1499"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/154.2.180"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.1100"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/1471\u20102393\u20108\u201025"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.1235"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.1710"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwm367"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.1269"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.1463"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.1296"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa055202"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2007.01.033"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1186\/1472\u20106963\u20108\u201079"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1001\/archpsyc.63.8.898"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1192\/bjp.bp.107.037101"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1002\/bdrb.20144"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1097\/AOG.0b013e3181dd918c"},{"key":"e_1_2_7_19_1","unstructured":"Statistics Canada.Table\u2009102\u20134516 \u2010 Live births and fetal deaths (stillbirths) by place of birth (hospital and non\u2010hospital) Canada provinces and territories annual. http:\/\/cansim2.statcan.gc.ca\/cgi\u2010win\/cnsmcgi.exe?Lang=E&CNSM\u2010Fi=CII\/CII_1\u2010eng.htm (accessed June 15 2010)."},{"key":"e_1_2_7_20_1","doi-asserted-by":"publisher","DOI":"10.3109\/00016349009028681"},{"key":"e_1_2_7_21_1","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2008\u20103232"},{"key":"e_1_2_7_22_1","doi-asserted-by":"publisher","DOI":"10.1002\/pds.611"},{"key":"e_1_2_7_23_1","unstructured":"Guideline: prenatal screening for Down syndrome trisomy 18 and open neural tube defects. 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