Accountability and Evaluation
States can improve the services and systems that support young children and families by identifying measurable outcomes and indicators.
Regular and ongoing review and use of data on the health, development, and well-being of infants and toddlers can guide continuous improvement and inform planning, policy, and practice. Data collection, reporting, and analysis can be connected across the comprehensive early childhood system to answer critical policy questions. Development of data systems to track outcomes and benchmarks can make this process easier.
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Article
Minnesota Develops Prenatal to Three Framework and Logic Model
One of the key features of the framework is a set of desired outcomes in health, education, well-being, and systems for children ages prenatal through three, their families, and their communities.
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Article
Michigan Finds Favorable Return on Investment for Home Visiting
In January 2014, Michigan joined a return on investment (ROI) learning community sponsored by the Association of Maternal and Child Health Programs (AMCHP).
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Article
The Utah Early Childhood Statewide Data Integration Project
In Utah, a statewide integrated data system is being developed to facilitate data sharing and coordination across 35 early childhood programs, with funding and leadership from the Maternal, Infant an…
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Article
Virginia MIECHV Implements Continuous Quality Improvement
Virginia's Maternal Infant and Early Childhood Home Visiting (MIECHV) program is administered by the Virginia Department of Health (VDH), which has provided home visiting services for 18 organization…
