Tools to Address Disparities in Health: Data as Building Blocks for Change


Tools to Address Disparities in Health: Data as Building Blocks for Change


This toolkit provides health insurance plans and health care organizations with the building blocks to create change and improve quality of care by increasing the knowledge about the issues surrounding data collection on race and ethnicity and the potential impact for identifying disparities and measuring quality improvement.

Toolkit components include:

  • Why collect data on race, ethnicity, and primary language? A rationale for and importance of collecting these data
  • A legal perspective: Current Federal and State laws and regulations pertaining to data collection for health insurance plans
  • National activities: A review of programs and policies by Federal agencies and national organizations that support the collection and measurement of data to improve health outcomes
  • Building the case: Perspectives on the value on collecting data on race, ethnicity, and primary language from health insurance plans, providers, consumers, community leaders, and employers
  • Collecting data: An overview of the most commonly used sources for collecting these data and its opportunities and challenges
  • Analyzing data: Ways to analyze and link data with quality measures to identify differences in patterns of care and utilization
  • Using data: A glimpse of data collection strategies to identify areas for quality improvement
  • Resources and tools: A list of available resources and tools for health insurance plans to strengthen their own quality improvement initiatives


America's Health Insurance Plans

Funding Sources:

Pfizer, Inc.


Release Date: 2005
Original Summary: November 2008
Last Updated: 03/14/12

QualityTool Classification

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