In:
Journal of Human Growth and Development, Faculdade de Filosofia e Ciências, Vol. 28, No. 3 ( 2018-11-28), p. 223-231
Abstract:
Racial disparities in health outcomes, access to health care, insurance coverage, and quality of care in the United States have existed for many years. The Development and implementation of effective strategies to reduce or eliminate health disparities are hindered by our inability to accurately assess the extent and types of health disparities due to the limited availability of race/ethnicity-specific information, the limited reliability of existing data and information, and the increasing diversity of the American population. Variations in racial and ethnic classification used to collect data hinders the ability to obtain reliable and accurate health-indicator rates and in some instances cause bias in estimating the race/ethnicity-specific health measures. In 1978, The Office of Management and Budget (OMB) issued "Directive 15" titled "Race and Ethnic Standards for Federal Statistics and Administrative Reporting" and provided a set of clear guidelines for classifying people by race and ethnicity. Access to health care, behavioral and psychosocial factors as well as cultural differences contribute to the racial and ethnic variations that exist in a person’s health. To help eliminate health disparities, we must ensure equal access to health care services as well as quality of care. Health care providers must become culturally competent and understand the differences that exist among the people they serve in order to eliminate disparities. Enhancement of data collection systems is essential for developing and implementing interventions targeted to deal with population-specific problems. Developing comprehensive and multi-level programs to eliminate healthcare disparities requires coordination and collaboration between the public (Local, state and federal health departments), private (Health Insurance companies, private health care providers), and professional (Physicians, nurses, pharmacists, laboratories, etc) sectors.
Type of Medium:
Online Resource
ISSN:
2175-3598
,
0104-1282
Language:
Unknown
Publisher:
Faculdade de Filosofia e Ciências
Publication Date:
2018
detail.hit.zdb_id:
3072842-3
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