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Trainings

Record Linkage and Data Integration for Maternal and Child Health Research

URL 1: https://www.youtube.com/watch?v=PS8w5HQlfhk

Date Developed: 12/12/2019. Source: U.S. Maternal and Child Health Bureau, Office of Epidemiology and Research. Presenter(s): Russell Kirby, PhD, MS, FACE. Type: Webinar. Level: Intermediate. Length: 60 minutes.

Annotation

Maternal Child Health (MCH) professionals work at the interface of public health, clinical care, entitlement and eligibility programs in health and social services, and education. Rarely does a single database include data on the full range of phenomena of interest for specific research studies. Record linkage can be employed to link records on mothers and children across databases, longitudinally, and across generations. Data integration provides a basis for storage of linkage results for use in future analyses.

Learning Objectives

• Understand how to differentiate between deterministic and probabilistic linkage methods, and select the appropriate methodology.

• Describe a framework for data integration of population-based perinatal health data.

• Identify examples of research questions in MCH requiring record linkage to obtain the necessary data for analysis.

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number UE8MC25742; MCH Navigator for $225,000/year. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.