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Building a Data Linkage Foundation for Mother-Child Pharmacoepidemiology Research.
Whitmore, Christine C; Hawley, R Eric; Min, Jea Young; Mitchel, Ed; Daugherty, James R; Griffin, Marie R; Grijalva, Carlos G.
Afiliação
  • Whitmore CC; Department of Health Policy, Vanderbilt University School of Medicine, Nashville, TN, USA. christine.whitmore@vanderbilt.edu.
  • Hawley RE; Vanderbilt University Medical Center, Nashville, TN, USA. christine.whitmore@vanderbilt.edu.
  • Min JY; Department of Health Policy, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Mitchel E; Vanderbilt University Medical Center, Nashville, TN, USA.
  • Daugherty JR; Veterans Health Administration Tennessee Valley Healthcare System, Geriatric Research and Education Clinical Center, Health Services Research and Development Center, Nashville, TN, USA.
  • Griffin MR; CGS Administrators, Nashville, TN, USA.
  • Grijalva CG; Department of Health Policy, Vanderbilt University School of Medicine, Nashville, TN, USA.
Pharmaceut Med ; 35(1): 39-47, 2021 01.
Article em En | MEDLINE | ID: mdl-33369725
ABSTRACT

BACKGROUND:

Expanding our understanding of the effects of maternal medication exposure through research is a public health priority and will help inform both clinical and policy decision making, ultimately improving outcomes for pregnant women and their children.

OBJECTIVE:

Our objective was to describe a linked-data research platform that facilitates studies of pregnancy medication exposures and policy changes on maternal and child health outcomes.

METHODS:

Mothers receiving Medicaid benefits were probabilistically linked with newborns in the Tennessee Medicaid program (TennCare) through three distinct linkage processes. Medicaid claims data and state birth and fetal death certificate records (vital records) were used to identify and link potential mothers, deliveries, and newborn children. The linkage process started with the creation of a merged pool of potential mothers and eligible deliveries, which was linked to vital records and to children's records. In the last step, linked records from the preceding steps were combined into the final Mother-child linked records. For each data linkage step, rubrics and scoring systems for exact and partial matches and mismatches among key linkage fields were applied and used to examine the strength of the probabilistic linkages. Summary linkage yields for year 2013 are reported for illustration purposes.

RESULTS:

Among the 84,253 potential deliveries, 1,761,557 eligible potential mothers, and 51,400 eligible children identified in Tennessee Medicaid records in 2013, a total of 60,265 of these records were uniquely linked to vital records, including 46,172 (77%) with linked mother-child-vital records. Among the 51,400 eligible children records identified in Tennessee Medicaid for that year, 97% (50,053) had at least one link to vital records or a mother-delivery record. In linked records, the median maternal age was 24 years, and the median gestational age was 39 weeks. About 33% of pregnant women underwent cesarean birth, and 1% of births were classified as complicated deliveries.

CONCLUSIONS:

Supplementing existing Medicaid claims data with birth certificate records complements administrative claims information and allows for detailed assessments of pregnancy exposures and policy changes on mother and child outcomes.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Registro Médico Coordenado / Farmacoepidemiologia Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Infant / Newborn / Pregnancy País/Região como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Registro Médico Coordenado / Farmacoepidemiologia Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Infant / Newborn / Pregnancy País/Região como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article