Table 2.

Who benefits from use of state administrative data in Policy/Program/Population Health Research?

Federal Research Institutes	States	Researchers
This research…	This research…	This research…
Responds to states and their identified policy issues	Identifies what works for resource allocation decisions	Advances policy/program/population-level comparative effectiveness research
Assesses whether studies using state administrative data can meet peer-review standards	Demonstrates how multiagency administrative data can be organized and analyzed to answer policy/program/population health questions and helps advance state efforts to become learning healthcare organizations	Illustrates how to design, measure and analyze administrative data for policy/program/ population health issues
Stimulates cross-state comparisons to advance knowledge about service system design and performance	Fosters academic-state agency collaborations for policy/program/population assessments and gives states access to national experts focused on state priorities	Makes research grant proposals more fundable by using administrative data in lieu of costly prospective data collection
Provides opportunities to support research on delivery system innovations under the Affordable Care Act	Promotes continuous quality improvement to align state and local service providers	Facilitates academic researchers’ understanding of what topics have high policy significance to states, and how to work with state officials to carry out such research
Advances NIMH Strategic Plan	Identifies priority areas for strategic policy development and management via creation of evidence-informed policies	Affords researchers the opportunity to have their work impact public mental health services