Evidence map›Paper›PMID 42842185›Full record

ArticleDrug safety2026

Hierarchical Algorithms for Constructing Mother-Father-Infant Linkages Under Modern Privacy Constraints.

Brian Meng-Hsun Li, Michael Chun-Yuan Cheng, Edward Chia-Cheng Lai

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Article in Drug safety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 authors.

Brian Meng-Hsun LiSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, No. 1, University Road, Tainan, 701, Taiwan.ORCID http://orcid.org/0009-0007-7445-8806
Michael Chun-Yuan ChengSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, No. 1, University Road, Tainan, 701, Taiwan.ORCID http://orcid.org/0000-0002-8640-3593
Edward Chia-Cheng LaiSchool of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, No. 1, University Road, Tainan, 701, Taiwan. edward_lai@mail.ncku.edu.tw.ORCID http://orcid.org/0000-0002-5852-7652

Funding

National Health Research Institutes NHRI-14A1-CG-CO-04-2225-1National Science and Technology Council NSTC 114-2628-B-006-005-
6 · The paper itself

Abstract

backgroundPost-marketing safety surveillance of medications used during pregnancy depends on accurate reconstruction of mother-father-infant triads in administrative healthcare data. However, global privacy regulations increasingly restrict the use of direct familial identifiers, and few parent-infant linkage algorithms have been validated against a reference standard.

objectiveWe aimed to develop and validate a hierarchical deterministic algorithm that constructs mother-infant and father-infant linkages from variables widely available in administrative healthcare data internationally.

methodsUsing Taiwan's National Health Insurance Research Database and Birth Certificate Application database (2012-19), we constructed mother-infant and father-infant linkages through a five-step hierarchical mother-infant procedure and a single-step father-infant match, incorporating dependent-guarantor relationships, paternal demographic proxies, and sibling history. We validated the algorithm against the historical Maternal and Child Health Database, which provided a deterministic reference standard of 1,570,007 mother-infant and 1,510,578 father-infant pairs among 1,676,503 registered infants.

resultsThe algorithm identified 1,554,179 mother-infant pairs (positive predictive value 97.01%, 95% confidence interval [CI] 96.99-97.04; sensitivity 96.03%, 95% CI 96.00-96.06) and 1,036,980 father-infant pairs (positive predictive value 93.64%, 95% CI 93.59-93.69; sensitivity 64.28%, 95% CI 64.21-64.36). Mother-infant performance remained stable across the 8-year period, whereas paternal sensitivity showed a secular drift that we characterized to support recalibration in future birth cohorts.

conclusionsThis hierarchical framework offers a reproducible, privacy regulation-compatible template for constructing parent-infant linkages to support pharmacovigilance research on parental medication exposures. Operating characteristics should be re-validated when the framework is applied in each new setting.

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