Validation of mother-infant linkage using Medicaid Case ID variable within the Medicaid Analytic eXtract (MAX) database.
Adolescent
Adult
Age Factors
Algorithms
Databases, Factual
/ statistics & numerical data
Educational Status
Female
Humans
Infant, Newborn
Live Birth
Medicaid
/ organization & administration
Medical Record Linkage
/ methods
Middle Aged
Mothers
/ statistics & numerical data
Pregnancy
United States
Young Adult
Case ID
Medicaid
pharmacoepidemiology
pregnancy
validation
Journal
Pharmacoepidemiology and drug safety
ISSN: 1099-1557
Titre abrégé: Pharmacoepidemiol Drug Saf
Pays: England
ID NLM: 9208369
Informations de publication
Date de publication:
09 2019
09 2019
Historique:
received:
26
11
2018
revised:
01
04
2019
accepted:
02
05
2019
pubmed:
10
7
2019
medline:
9
6
2020
entrez:
10
7
2019
Statut:
ppublish
Résumé
The 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. We 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. We 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. Our 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.
Identifiants
pubmed: 31286606
doi: 10.1002/pds.4843
pmc: PMC8756527
mid: NIHMS1756761
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, P.H.S.
Validation Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
1222-1230Subventions
Organisme : NICHD NIH HHS
ID : R00 HD082412
Pays : United States
Organisme : AHRQ HHS
ID : R36 HS022384
Pays : United States
Organisme : AHRQ HHS
ID : 1R36HS022384-01
Pays : United States
Organisme : NICHD NIH HHS
ID : R00HD082412
Pays : United States
Informations de copyright
© 2019 John Wiley & Sons, Ltd.
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