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What I Wish I Knew Before Linking Data ASTHO, Association of State and Territorial Health Officials, linking data, data linkage, family and child health, public health, data linkage research, public health agencies, north Carolina, children's data network, child welfare indicators, california health and human services, child welfare, child welfare policy, maternal and child health, alaska division of public health, analytics and epidemiology, data analysis, applied surveillance, data systems, child protection, birth data, vital records, medicaid data, record registries, child advocacy, data pieces, connecting records, data sources, medical histories 45:57 Data linkage experts share insights and recommendations for leveraging data linkage projects to explore and make an impact on public health issues. PH Conversations Series - What I Wish I Knew Before Linking Data This episode features a conversation between two data linkage experts—Jared Parrish, PhD, MS, and Emily Putnam-Hornstein, PhD—highlighting their lessons learned and sharing recommendations for those seeking to use data linkage projects to examine key public health issues, such as: The thought process behind choosing which datasets to link, which linkage tools and methods to use, and how to bring intentionality to these choices when considering a research question. The benefits of using data linkage to enhance datasets and build a comprehensive and robust collection of information for new insights. Lessons learned for navigating data linkages with important considerations for preparation, analysis, and the uses of data linkage. Show Notes Interviewer Stephany Strahle, MPH, Maternal and Child Health Contractor, ASTHO Guests Jared Parrish, PhD, Senior Epidemiologist, State of Alaska, DHSS, Division of Public Health Emily Putnam-Hornstein, PhD, Distinguished Professor for Children in Need, University of North Carolina at Chapel Hill <!-- Resources Braiding and Layering Funding to Address the Social Determinants of Health --> PHC Podcast Transcript - What I Wish I Knew Before Linking Data website yes

A Framework for Linking PRAMS with Administrative Data ASTHO, Association of State and Territorial Health Officials, prams frameworks, prams data, PRAMS, administrative data, data linkages, pregnancy risk assessment monitoring system prams, pregnancy risk assessment monitoring system, data sources, prams jurisdictions, maternal and child health, health equity, health outcomes, maternal and child health issues, social determinants of health, data analysis, linkage preparation, data linkage readiness assessment, data linkage process map, data linkage process list, public health linkages, data preparation, data linkage, research dataset creation and analysis, public health challenges, documenting processes, secure storage, appropriate linkage methods, standardizing and aligning processes, public health data Jared Parrish, Stephany Strahle, Shannon Vance This five-phase framework for linking PRAMS data can help in the preparation, execution, and analysis of linked PRAMS data and the establishment of sustainable linkage. This report offers a framework for integrating the Pregnancy Risk Assessment Monitoring System (PRAMS) with administrative data sources. Comprised of in-depth tools and resources, it can help jurisdictions create a robust systematic approach to linkages, increasing understanding of maternal and child health outcomes. The framework is broken into five main phases: linkage preparation, data preparation, data linkage, research dataset creation and analysis, and sustainability. By following its guidance, public health agencies and researchers will be able to optimize integrated data to address pressing public health challenges effectively. Get the Report (PDF) website yes