Improving Health Outcomes: The Implementation of Race and Ethnicity Composite Values

Maine

Author

HSRI

This analysis provides insights into how a data assessment on race and ethnicity was used to develop a flexible de-identified person-level composite that provides data users with high-quality demographic information using data from two healthcare data systems in Maine: the Maine Health Data Organization’s All-Payer Claims Database (MHDO APCD) and MHDO’s Hospital Encounter Database. With a de-identified person-level composite that accurately captures how individuals self-identify, data users can perform analyses that identify strengths and areas of improvement for racially diverse populations to assist with efforts addressing health inequities.

Project tags

Solutions

  • All-Payer Claims Databases

Services

Data Analysis & Visualizations
Data Collection & Management
Data Quality Assurance

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