Preparing the National Healthcare Disparities Report
Gaps in Data for Assessing Racial, Ethnic, and Socioeconomic Disparities in Health Care
Dados Bibliográficos
| ID | 9101958 |
|---|---|
| Autores | Ernest Moy (0000-0002-0681-6866, Agency for Healthcare Research and Quality, autor correspondente), Irma E Arispe (National Center for Health Statistics), Julia S Holmes (National Center for Health Statistics), Roxanne M Andrews (Agency for Healthcare Research and Quality, autor correspondente) |
| Ano | 2005 |
| Volume | 43 |
| Fascículo | Supplement |
| Páginas | I-9-I-16 |
| Data de publicação | 2005-03-01 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Medical Care (JOURNAL) |
| Identificadores do periódico | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Editora | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-200503001-00003 |
| OpenAlex | W4297899365 |
| Idioma | EN |
| Citações recebidas | 8 |
| Referências citadas | 10 |
Background: Efforts to quantify, monitor, understand, and reduce disparities in health care are critically dependent on the collection of high-quality data that support such analyses. In producing the first National Healthcare Disparities Report (NHDR), a number of gaps in data were encountered that limited the ability to assess racial, ethnic, and socioeconomic disparities in health care. Objectives: The objectives of this study were to identify and quantify gaps in data related to disparities in health care and discuss efforts to fill these gaps in future NHDRs. Findings: Data on specific racial, ethnic, and socioeconomic groups were often not collected or collected in formats that differed from federal standards. When collected, data were often insufficient to generate reliable estimates for specific racial, ethnic, and socioeconomic groups. These effects were magnified when attempting to assess disparities within many of the agency's priority populations such as women, children, the elderly, low-income populations, and rural residents. Future NHDRs begin to fill some of these gaps in data, but some gaps will likely persist and new gaps will likely arise as the availability of data for specific populations vary from year to year. Conclusions: Gaps in data limit the ability to address racial, ethnic, and socioeconomic disparities in health care. Although many federal efforts are underway to improve data collection, some groups and populations pose unique challenges for data collection that will be difficult to overcome
Agency (philosophy) · Data collection · Environmental health · Ethnic group · Geography · Health care · Health equity · Political science · Population · Socioeconomic status · Sociology · Global Health Workforce Issues · Healthcare Policy and Management · Medicine · Primary Care and Health Outcomes · Gerontology
Prior Experiences of Racial Discrimination and Racial Differences in Health Care System Distrust
Gender differences across racial and ethnic groups in the quality of care for diabetes
Oral and Pharyngeal Cancer Incidence and Mortality Among Hispanics, 1996–2002
Measurement Challenges in Developing the National Healthcare Quality Report and the National Healthcare Disparities Report
Heart Disease and Prevention
Ethnic/Racial Disparities in Hospital Procedure Volume for Lung Resection for Lung Cancer
Les inégalités sociales dans l'accès aux soins
De l'origine à la santé, quand l'ethnique et la race croisent la classe
Health Service Access, Use, and Insurance Coverage Among American Indians/Alaska Natives and Whites
Addressing the Health Care Needs of American Indians and Alaska Natives
Hospital Policy and Practice Regarding the Collection of Data on Race, Ethnicity, and Birthplace
Agreement Between Administrative Data and Patients’ Self-Reports of Race/Ethnicity
Measurement Challenges in Developing the National Healthcare Quality Report and the National Healthcare Disparities Report
Design Strategies and Innovations in the Medical Expenditure Panel Survey
| Obras citantes distintas | 8 |
|---|---|
| Citações por ano | 0,38 |
| Intervalo de citações | 2005 - 2014 (10) |
| Velocidade de citação | historical |
| Altamente citado | Não |
| Tipos de citação | Neutras: 8 |