The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement.

Disparities in health and health care across racial, ethnic, and socioeconomic backgrounds in the United States are well documented. The reasons for these disparities are, however, not well understood. Current data available on race, ethnicity, SEP, and accumulation and language use are severely limited. The report examines data collection and reporting systems relating to the collection of data on race, ethnicity, and socioeconomic position and offers recommendations.

The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement.

Racial and ethnic disparities in health care are known to reflect access to care and other issues that arise from differing socioeconomic conditions. There is, however, increasing evidence that even after such differences are accounted for, race and ethnicity remain significant predictors of the quality of health care received. In Unequal Treatment, a panel of experts documents this evidence and explores how persons of color experience the health care environment. The book examines how disparities in treatment may arise in health care systems and looks at aspects of the clinical encounter that may contribute to such disparities. Patients' and providers' attitudes, expectations, and behavior are analyzed. How to intervene? Unequal Treatment offers recommendations for improvements in medical care financing, allocation of care, availability of language translation, community-based care, and other arenas. The committee highlights the potential of cross-cultural education to improve provider-patient communication and offers a detailed look at how to integrate cross-cultural learning within the health professions. The book concludes with recommendations for data collection and research initiatives. Unequal Treatment will be vitally important to health care policymakers, administrators, providers, educators, and students as well as advocates for people of color.

The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement.

The panel convened the Workshop on Improving Racial and Ethnic Data in Health to review information about current private-sector and state data collection practices in light of existing federal, state, and local regulations, laws, and requirements. The workshop presentations featured the perspectives of data users, health care providers, insurance plan representatives, state and local public health officials, and regulatory officials. Participants assessed policies, practices, barriers, and opportunities for collecting racial and ethnic data in their settings, and explored ways that private and state systems can be improved to address data needs. In preparation for the workshop, the panel commissioned four background papers to fill gaps in knowledge of private-sector and state government policies and practices and to address the importance of racial and ethnic data collection. The panel is also examining the role of socioeconomic status regarding health and health care disparities. However, the workshop intended to focus only on racial and ethnic data collection. The panel's final report will contain a full consideration of the collection of racial, ethnic, and socioeconomic status data.

Raciolinguistics reveals the central role that language plays in shaping our ideas about race and vice versa. The book brings together a team of leading scholars-working both within and beyond the United States-to share powerful, much-needed research that helps us understand the increasingly vexed relationships between race, ethnicity, and language in our rapidly changing world. Combining the innovative, cutting-edge approaches of race and ethnic studies with fine-grained linguistic analyses, authors cover a wide range of topics including the struggle over the very term "African American," the racialized language education debates within the increasing number of "majority-minority" immigrant communities in the U.S., the dangers of multicultural education in a Europe that is struggling to meet the needs of new migrants, and the sociopolitical and cultural meanings of linguistic styles used in Brazilian favelas, South African townships, Mexican and Puerto Rican barrios in Chicago, and Korean American "cram schools" in New York City, among other sites. Taking into account rapidly changing demographics in the U.S and shifting cultural and media trends across the globe--from Hip Hop cultures, to transnational Mexican popular and street cultures, to Israeli reality TV, to new immigration trends across Africa and Europe--Raciolinguistics shapes the future of scholarship on race, ethnicity, and language. By taking a comparative look across a diverse range of language and literacy contexts, the volume seeks not only to set the research agenda in this burgeoning area of study, but also to help resolve pressing educational and political problems in some of the most contested raciolinguistic contexts in the world.