Evidence map›Paper›PMID 31286606›Full record

ArticlePharmacoepidemiology and drug safety2019

Validation of mother-infant linkage using Medicaid Case ID variable within the Medicaid Analytic eXtract (MAX) database.

Caitlin A Knox, Christian Hampp, Kristin Palmsten, Yanmin Zhu, Soko Setoguchi, Babette Brumback, Richard Segal, Almut G Winterstein

Abstract readValidation Study
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Neonatal Outcome Ascertainment in Mother-Infant Paired Claims.Pharmacoepidemiology and drug safety · 2026
    Article
  4. Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Caitlin A KnoxPharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-6870-2111
Christian HamppOffice of Surveillance and Epidemiology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.ORCID 0000-0002-1094-6364
Kristin PalmstenResearch Department, HealthPartners Institute, Minneapolis, MN, USA.ORCID 0000-0002-0134-6228
Yanmin ZhuPharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0001-6697-6450
Soko SetoguchiDepartment of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
Babette BrumbackEpidemiology Department, Colleges of Medicine and Public Health & Health Professions, University of Florida, Gainesville, FL, USA.
Richard SegalPharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Almut G WintersteinPharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-6518-5961

Funding

Oral Corticosteroid Use During Pregnancy and Risk for Preterm BirthR00HD082412 · NICHD · HEALTHPARTNERS INSTITUTE · PI PALMSTEN, KRISTIN · 2017 to 2019
$716k
Pre-existing Diabetes and PregnancyR36HS022384 · AHRQ · UNIVERSITY OF FLORIDA · PI KNOX, CAITLIN A · 2013 to 2013
$42k
AHRQ HHS 1R36HS022384-01AHRQ HHS R36 HS022384NICHD NIH HHS R00 HD082412NICHD NIH HHS R00HD082412
6 · The paper itself

Abstract

purposeThe state-assigned Case ID number in the Medicaid Analytic eXtract (MAX) allows for potential linkage of mothers to infants. No validation of respective linkage algorithms is available. We established and validated an algorithm within MAX that links mothers to infants and to identify factors influencing successful mother-infant linkage.

methodsWe identified all mother-infant pairs in FL and TX birth certificates records (BCR) that could be linked individually to MAX records (1999-2005 for FL and 1999-2010 for TX) based on Social Security Number (gold standard pairs). Case ID linkage performance was evaluated as the proportion of gold standard mother-infant pairs that were identified by the algorithm (sensitivity) and the proportion of algorithm defined mother-infant pairs that were correctly linked. Generalized estimating equations were used to calculate the probability for successful Case ID algorithm linkage versus non-linkage using maternal and infant characteristics.

resultsWe identified 323,160 gold standard pairs in FL BCR and MAX and 1,025,350 in TX BCR and MAX. Depending on Medicaid enrollment the algorithm sensitivity ranged from 85.51% to 87.96% in FL and 19.60% to 35.75% in TX. In both states, positive predictive value exceeded 99%, regardless of enrollment periods. Determinants for successful linkage varied across states, but suggested better results for younger mothers, minority women, and those with lower educational achievement.

conclusionsOur algorithm can correctly link liveborn infants to their mothers. The algorithm's sensitivity in identifying pairs varied across states, but PPV was consistently high. Linkage performance was associated with certain characteristics that may affect representativeness of successfully linked pairs.

Indexed as

AlgorithmsAdolescentAdultAge FactorsDatabases, FactualEducational StatusFemaleHumansInfant, NewbornLive BirthMedicaidMedical Record LinkageMiddle AgedMothersPregnancyUnited StatesCase IDMedicaidpharmacoepidemiologypregnancyvalidation

Identifiers

PMID31286606
PMCPMC8756527

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.