Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Race, Ethnicity, and Language Data : Standardization for Health Care Quality Improvement, Paperback / softback Book

Race, Ethnicity, and Language Data : Standardization for Health Care Quality Improvement Paperback / softback

Edited by Cheryl Ulmer, Bernadette McFadden, David R. Nerenz

Paperback / softback

Description

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.

Information

Save 2%

£53.00

£51.89

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information