{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T13:54:24Z","timestamp":1791899664010,"version":"4.3.4"},"reference-count":28,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2020,3,2]],"date-time":"2020-03-02T00:00:00Z","timestamp":1583107200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100004312","name":"Eli Lilly and Company","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004312","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pharmacoepidemiology and Drug"],"published-print":{"date-parts":[[2020,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The Medicaid Analytic eXtract (MAX) is a health care utilization database from publicly insured individuals that has been used for studies of drug safety in pregnancy. Claims\u2010based algorithms for defining many important maternal and neonatal outcomes have not been validated.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objective<\/jats:title><jats:p>To validate claims\u2010based algorithms for identifying selected pregnancy outcomes in MAX using hospital medical records.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The medical records of mothers who delivered between 2000 and 2010 within a single large healthcare system were linked to their claims in MAX. Claims\u2010based algorithms for placental abruption, preeclampsia, postpartum hemorrhage, small for gestational age, and noncardiac congenital malformation were defined. Fifty randomly sampled cases for each outcome identified using these algorithms were selected, and their medical records were independently reviewed by two physicians to confirm the presence of the diagnosis of interest; disagreements were resolved by a third physician reviewer. Positive predictive values (PPVs) and 95% confidence intervals (CIs) of the claims\u2010based algorithms were calculated using medical records as the gold standard.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The linked cohort included 10,899 live\u2010birth pregnancies. The PPV was 92% (95% CI, 82%\u201097%) for placental abruption, 82% (95% CI, 70%\u201091%) for preeclampsia, 74% (95% CI, 61%\u201085%) for postpartum hemorrhage, 92% (95% CI, 82%\u201097%) for small for gestational age, and 86% (95% CI, 74%\u201094%) for noncardiac congenital malformation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Across the perinatal outcomes considered, PPVs ranged between 74% and 92%. These PPVs can inform bias analyses that correct for outcome misclassification.<\/jats:p><\/jats:sec>","DOI":"10.1002\/pds.4967","type":"journal-article","created":{"date-parts":[[2020,3,3]],"date-time":"2020-03-03T05:41:04Z","timestamp":1583214064000},"page":"419-426","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Validation of algorithms to identify adverse perinatal outcomes in the Medicaid Analytic Extract database"],"prefix":"10.1002","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2144-5503","authenticated-orcid":false,"given":"Mengdong","family":"He","sequence":"first","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5805-8430","authenticated-orcid":false,"given":"Krista F.","family":"Huybrechts","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1336-4458","authenticated-orcid":false,"given":"Sara Z.","family":"Dejene","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Loreen","family":"Straub","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Devan","family":"Bartels","sequence":"additional","affiliation":[{"name":"Department of Anesthesia and Pain Medicine Massachusetts General Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stacey","family":"Burns","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Perioperative and Pain Medicine Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David J.","family":"Combs","sequence":"additional","affiliation":[{"name":"Department of Anesthesia and Pain Medicine Massachusetts General Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer","family":"Cottral","sequence":"additional","affiliation":[{"name":"Department of Anesthesia and Pain Medicine Massachusetts General Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathryn J.","family":"Gray","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beryl L.","family":"Manning\u2010Geist","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Helen","family":"Mogun","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rebecca M.","family":"Reimers","sequence":"additional","affiliation":[{"name":"Department of Obstetrics and Gynecology Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1458-7642","authenticated-orcid":false,"given":"Sonia","family":"Hernandez\u2010Diaz","sequence":"additional","affiliation":[{"name":"Department of Epidemiology Harvard T.H. Chan School of Public Health  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian T.","family":"Bateman","sequence":"additional","affiliation":[{"name":"Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"},{"name":"Department of Anesthesiology, Perioperative and Pain Medicine Brigham and Women's Hospital and Harvard Medical School  Boston MA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,3,2]]},"reference":[{"key":"e_1_2_8_2_1","unstructured":"Medicaid eligibility.https:\/\/www.medicaid.gov\/medicaid\/eligibility\/index.html. 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