Examining Race and Ethnicity Information in Medicare Administrative Data
Dados Bibliográficos
| ID | 9102035 |
|---|---|
| Autores | Clara E Filice (United States Department of Health and Human Services), Karen E Joynt (United States Department of Health and Human Services) |
| Ano | 2017 |
| Volume | 55 |
| Fascículo | 12 |
| Páginas | e170-e176 |
| Data de publicação | 2017-12-01 |
| 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/mlr.0000000000000608 |
| PMID | 29135782 |
| OpenAlex | W2505499657 |
| Idioma | EN |
| Citações recebidas | 18 |
| Referências citadas | 21 |
Racial and ethnic disparities are observed in the health status and health outcomes of Medicare beneficiaries. Reducing these disparities is a national priority, and having high-quality data on individuals’ race and ethnicity is critical for researchers working to do so. However, using Medicare data to identify race and ethnicity is not straightforward. Currently, Medicare largely relies on Social Security Administration data for information about Medicare beneficiary race and ethnicity. Directly self-reported race and ethnicity information is collected for subsets of Medicare beneficiaries but is not explicitly collected for the purpose of populating race/ethnicity information in the Medicare administrative record. As a consequence of historical data collection practices, the quality of Medicare’s administrative data on race and ethnicity varies substantially by racial/ethnic group; the data are generally much more accurate for whites and blacks than for other racial/ethnic groups. Identification of Hispanic and Asian/Pacific Islander beneficiaries has improved through use of an imputation algorithm recently applied to the Medicare administrative database. To improve the accuracy of race/ethnicity data for Medicare beneficiaries, researchers have developed techniques such as geocoding and surname analysis that indirectly assign Medicare beneficiary race and ethnicity. However, these techniques are relatively new and data may not be widely available. Understanding the strengths and limitations of different approaches to identifying race and ethnicity will help researchers choose the best method for their particular purpose, and help policymakers interpret studies using these measures
Beneficiary · Business · Data quality · Ethnic group · Geocoding · Geography · Health equity · Pacific islanders · Political science · Public health · Race (biology) · Race and health · Sociology · Gender Studies · Health disparities and outcomes · Healthcare Policy and Management · Medicine · Migration, Health and Trauma · Nursing · Gerontology
Use of Telemedicine and Quality of Care Among Medicare Enrollees With Serious Mental Illness
Exit Rates of Accountable Care Organizations That Serve High Proportions of Beneficiaries of Racial and Ethnic Minority Groups
Medicare Transitional Care Management Program and Changes in Timely Postdischarge Follow-Up
Association of Medicare Advantage Star Ratings With Racial, Ethnic, and Socioeconomic Disparities in Quality of Care
Association of Private Equity Investment in US Nursing Homes With the Quality and Cost of Care for Long-Stay Residents
Association of Patient Race and Ethnicity With Differences in Opioid Prescribing by Primary Care Physicians for Older Adults With New Low Back Pain
Segregated Patterns of Hospital Care Delivery and Health Outcomes
Using Administrative Claims Data to Address Maternal Health Disparities
For good measure’
Preenchimento do quesito raça/cor na identificação dos pacientes
Filling out the race/skin color item in the patient identification form
Persistent Disparities in Medicare’s Annual Wellness Visit Utilization
Consistency in Self-Reported Race-and-Ethnicity Over Time
Validity of Race and Ethnicity Codes in Medicare Administrative Data Compared With Gold-standard Self-reported Race Collected During Routine Home Health Care Visits
Ethnoracial Disparities in Medicare Annual Wellness Visit Utilization
The Contribution of First-name Information to the Accuracy of Racial-and-Ethnic Imputations Varies by Sex and Race-and-Ethnicity Among Medicare Beneficiaries
Geographic Variation in Racial Disparities in Receipt of High-Dose Influenza Vaccine Among US Older Adults
The segregation of physician networks providing care to black and white patients with heart disease
| Obras citantes distintas | 18 |
|---|---|
| Citações por ano | 2,25 |
| Intervalo de citações | 2018 - 2025 (8) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 15 |