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A New Playbook: State-Driven Solutions for Resilient Health Data
Ninez A Ponce1,2, Riti Shimkhada1, Tara Becker1
1UCLA Center for Health Policy Research.
State investment in health data infrastructure is crucial for addressing health disparities. Building resilient, equity-centered systems requires data disaggregation legislation, interoperability, and strong governance to ensure data access and privacy.
Area of Science:
- Public Health Data Infrastructure
- Health Equity Research
- State-Level Policy Analysis
Background:
- Health equity is contingent upon data equity, ensuring community representation in data for disparity identification and accountability.
- Federal health data infrastructure changes and capacity reductions create uncertainty for state public health officials.
- Investing in resilient state data infrastructure is a priority for population health outcomes.
Purpose of the Study:
- To examine the impact of federal health data infrastructure changes on state data equity capacity.
- To identify policy responses for states to advance data equity.
- To synthesize evidence on state-level data disaggregation legislation, interoperability, governance, and dissemination.
Main Methods:
- Review of state data disaggregation legislation across the US.
- Case study analysis of the California Health Interview Survey (CHIS) as a model for operationalizing data mandates.
- Synthesis of evidence on data interoperability, governance frameworks, and dissemination strategies.
Main Results:
- Several states are expanding data collection beyond federal minimums, including detailed race/ethnicity subgroups and categories for Middle Eastern/North African populations.
- Legislation in states like Colorado and Oregon includes data collection on sexual orientation, gender identity, and disability status.
- Persistent challenges include incomplete demographic data, workforce and interoperability gaps, and the need for robust privacy-preserving governance.
Conclusions:
- State-led data infrastructure development is essential for effective public health practice and achieving health equity.
- An ecosystem of interoperable, inclusive, and community-accountable data systems is needed, rather than 50 incompatible systems.
- Realizing this vision requires diversified funding, cross-agency coordination, strong governance, and community engagement to sustain progress in measuring disparities.
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