{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T19:45:13Z","timestamp":1791402313512,"version":"4.3.3"},"reference-count":74,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T00:00:00Z","timestamp":1754611200000},"content-version":"vor","delay-in-days":7,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pharmacoepidemiology and Drug"],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>Introduction<\/jats:title><jats:p>Studies that use health care data to assess infant outcomes following maternal medication use in pregnancy require linkage of maternal and infant records. While such linkage is increasing among established and emerging data sources, linkage methods are heterogeneous and have not been thoroughly reviewed or evaluated to inform fitness for use. The objective of this study was to describe methods used to link maternal and infant records in health care databases for pharmacoepidemiology research.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Multiple Medline searches were conducted using structured terms and known mother\u2013infant linked data sources. Reference sections of identified key papers were also reviewed. From each publication, we abstracted information on the type(s) of data sources, data fields used for the linkage, linkage methodology, and any results of record linkage evaluation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We reviewed 114 publications describing mother\u2013infant linkages published from 1990 to 2025 that used data from North and South America, Europe, Asia, and Oceania. Linkage methods using administrative claims data only primarily relied on family ID and estimated dates of maternal delivery and infant birth; proportions of mothers linked with infants were 56%\u201390%. Use of vital records, such as birth certificates, alongside claims data resulted in higher linkage proportions (&gt;\u200986% of deliveries); examples were identified in Taiwan, Europe, and several US states. Utilization of birth records together with hospital discharge data resulted in linkages of over 90% of deliveries. Linkages involving additional data types, such as electronic health records, were identified in Europe and the US. Mother\u2013infant linkages were straightforward in regions with national birth registers that include identifiers for mother and infant, such as the Nordic countries, and within integrated delivery networks in the US that provide both health insurance and care. Although most mother\u2013infant linkages used deterministic methods, probabilistic methods typically achieved greater linkage proportions while requiring more data fields. Validations were uncommon; two studies demonstrated high positive predictive value (&gt;\u200995%) but lower sensitivity (20%\u201388%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>Successful mother\u2013infant data linkage occurs throughout the world and is enabled by aligned health care and technology infrastructure and policy. To increase trust in evidence generated from linked data, we encourage researchers and journals to include a description of linking methods, a quantification of linkage success, and, when possible, an assessment of linkage validity in peer\u2010reviewed publications.<\/jats:p><\/jats:sec>","DOI":"10.1002\/pds.70189","type":"journal-article","created":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T08:13:57Z","timestamp":1754640837000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Review of Mother\u2013Infant Linkage Algorithms in Health Care Data Sources"],"prefix":"10.1002","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2236-7714","authenticated-orcid":false,"given":"Melanie H.","family":"Jacobson","sequence":"first","affiliation":[{"name":"Global Epidemiology, Janssen Research and Development LLC  Titusville New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexis A.","family":"Krumme","sequence":"additional","affiliation":[{"name":"Global Epidemiology, Janssen Research and Development LLC  Titusville New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5645-6213","authenticated-orcid":false,"given":"Dina M.","family":"Gifkins","sequence":"additional","affiliation":[{"name":"Global Epidemiology, Janssen Research and Development LLC  Titusville New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7388-6082","authenticated-orcid":false,"given":"Andrea V.","family":"Margulis","sequence":"additional","affiliation":[{"name":"Department of Epidemiology RTI Health Solutions  Barcelona Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"Weaver","sequence":"additional","affiliation":[{"name":"Global Epidemiology, Janssen Research and Development LLC  Titusville New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kourtney J.","family":"Davis","sequence":"additional","affiliation":[{"name":"Global Epidemiology, Janssen Research and Development LLC  Titusville New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,8,8]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/clpt.2012.81"},{"key":"e_1_2_8_3_1","unstructured":"Agency EM Guideline on Good Pharmacovigilance Practices (GVP)\u2013Product\u2010 or Population\u2010Specific Considerations III: Pregnant and Breastfeeding Women. 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