Abstract: Health Indicators for Maternal and Child Health: Linked Datasets from Multiple Population-Level Data Sources in Florida (Society for Prevention Research 26th Annual Meeting)

126 Health Indicators for Maternal and Child Health: Linked Datasets from Multiple Population-Level Data Sources in Florida

Schedule:
Wednesday, May 30, 2018
Regency C (Hyatt Regency Washington, Washington, DC)
* noted as presenting author
Mildred Maldonado-Molina, PhD, Associate Professor, University of Florida, Gainesville, FL
Roland Estrella, MS, Manager, Clinical Research, University of Florida, Gainesville, FL
Jian Bian, PhD, Assistant Professor, University of Florida, Gainesville, FL
Jeffrey Roth, PhD, Research Professor, University of Florida, Gainesville, FL
Introduction: We developed a 15-year linked data repository of 38 health indicators for maternal health and child health outcomes on all Florida women and children. The repository links population-level datasets from three state agencies serving women and children: the Department of Health, the Agency for Health Care Administration and the Department of Children and Families. The repository hosts multiple linked statewide data sources including birth, death, and fetal death certificates; Medicaid eligibility, encounters, and claims; hospital discharge, ambulatory, and emergency records; Healthy Start prenatal screens; Perinatal Intensive Care records; Early Intervention Program records; among other medical records.

Methods: The linkage methodology consists of: 1) the development of self- correcting, patient-level custom linkage profiles across databases, 2) a deterministic (rule-based) record linkage using exact and fuzzy text matching techniques, 3) a probabilistic linkage using data mining algorithms, and 4) a clerical-review record linkage. Using a dataset extracted from the linked repository, we compared five maternal and infant health status indicators in three race/ethnicity groups—Hispanic, African American and Caucasian—among women whose pregnancies were funded by Medicaid. We examined rates of inadequate prenatal care, pre-pregnancy weight, neonatal intensive care, low birth weight, and infant mortality in Medicaid deliveries in Florida. Population estimates for the 2016 calendar year will be available in June 2018.

Results: Results suggest that among Medicaid covered women in 2015, Hispanics showed a lower percent of inadequate prenatal care (14.6%), compared to African American (18.0%) and Caucasian (15.8%) women. A higher percent of Hispanic women in Medicaid, however, were overweight pre-pregnancy (30.6 %) when compared with African American (26.6 %) and Caucasian (24.7 %) women. Nevertheless, a lower rate of Hispanic infants required neonatal intensive care (8.9%) compared to African American (15.2%) and Caucasian (9.7%) infants. A lower rate of Hispanic (7.9 %) and Caucasian (8.3 %) showed low birth weight when compared with African American infants (14.2%). Finally, among Medicaid covered women in 2014, the Hispanic infant mortality rate per 1,000 live births was substantively lower than that of African Americans and Caucasians (4.9 vs. 11.1 and 6.7, respectively).

Conclusions: In conclusion, we present a method for linking and cataloging data across multiple, disparate data sources to investigate service delivery, utilization patterns, and care quality. The linkage methodology allows advancing knowledge on reduction of disparities in long-term outcomes and promoting health equity among individuals exposed to high-risk settings.