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Eliminating health disparities : measurement and data needs /

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Bibliographic Details
Uniform Title:Eliminating health disparities (Print)
Corporate Author: National Research Council (U.S.). Panel on DHHS Collection of Race and Ethnicity Data
Other Authors: Ver Ploeg, Michele, Perrin, Edward
Format: Book
Language:English
Published: Washington, DC : National Academies Press, [2004]
Subjects:
Data Collection.
Ethnic Groups.
Evaluation Studies.
Health Status Indicators.
Socioeconomic Factors.
Treatment Outcome.
United States.
Online Access:Eliminating health disparities (Online)
Table of Contents:
  • Executive summary
  • The importance of data on race, ethnicity, socioeconomic position, and acculturation and language use
  • DHHS data collection systems
  • State data collection systems
  • Private-sector data collection systems
  • Introduction
  • Data to support health disparities interventions and research
  • Panel charge
  • Previous reviews of data needs
  • The report
  • The importance of data on race, ethnicity, socioeconomic position, and acculturation in understanding disparities in health and health care
  • Disparities in health and health care
  • Four key dimensions of disparities
  • The importance of understanding disparities in health and health care
  • Measuring race, ethnicity, socioeconomic position, and acculturation
  • Race and ethnicity
  • Socioeconomic position
  • Acculturation and language use
  • Cross-cutting issues in measurement and use of these data
  • DHHS collection of data on race, ethnicity, socioeconomic position, and acculturation and language use
  • Household and individual survey data collections
  • Provider-based surveys
  • Medicare data
  • Disease surveillance system data collection
  • Human services programs
  • Indian health service data
  • Recommendations
  • State-based collection of data on race, ethnicity, socioeconomic position, and acculturation and language use
  • Vital statistics birth and death records
  • Hospital discharge abstracts
  • Cancer registries
  • State health interview surveys
  • Medicaid and SCHIP data
  • Recommendations
  • Private-sector collection of data on race, ethnicity, socioeconomic position, and acculturation and language use
  • Private-sector data collection systems
  • Legal framework
  • Current practices
  • Recommendations