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Introduction <p>Integrating administrative data with the Pregnancy Risk Assessment Monitoring System (PRAMS) enhances the evaluation of maternal and child health (MCH) programs, policies, and outcomes.</p> Methods <p>Despite its proven value, past efforts to integrate PRAMS with administrative data have been inconsistent across jurisdictions, limiting broader applicability. To address this, the CDC partnered with the Association of State and Territorial Health Officials (ASTHO) to convene the PRAMS Data Linkage Learning Community.</p> Results <p>Drawing on the experiences of 12 participating states, prior research, and expert input, a five-phase generalized PRAMS linkage framework—Linkage Preparation, Data Preparation, Data Linkage, Research Data Set Creation and Analysis, and Sustainability—was developed. </p> Discussion <p>This framework provides practical tools and strategies to overcome common challenges and supports continuous and expanded use of data linkages. By enabling jurisdictions to explore MCH outcomes across diverse data sources, the framework promotes data-driven policy decisions, targeted interventions, and replication efforts that advance the field of maternal and child health.</p>

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Enhancing PRAMS with Administrative Data Linkages: A Generalized Framework

  • 期刊论文

  • 发表日期：

    2026年3月5日

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  • Jared W. Parrish,
  • Stephany Strahle,
  • Shannon Vance,
  • Russell S. Kirby,
  • Milton Kotelchuck

摘要

Introduction

Integrating administrative data with the Pregnancy Risk Assessment Monitoring System (PRAMS) enhances the evaluation of maternal and child health (MCH) programs, policies, and outcomes.

Methods

Despite its proven value, past efforts to integrate PRAMS with administrative data have been inconsistent across jurisdictions, limiting broader applicability. To address this, the CDC partnered with the Association of State and Territorial Health Officials (ASTHO) to convene the PRAMS Data Linkage Learning Community.

Results

Drawing on the experiences of 12 participating states, prior research, and expert input, a five-phase generalized PRAMS linkage framework—Linkage Preparation, Data Preparation, Data Linkage, Research Data Set Creation and Analysis, and Sustainability—was developed.

Discussion

This framework provides practical tools and strategies to overcome common challenges and supports continuous and expanded use of data linkages. By enabling jurisdictions to explore MCH outcomes across diverse data sources, the framework promotes data-driven policy decisions, targeted interventions, and replication efforts that advance the field of maternal and child health.