RESUMEN
BACKGROUND: Data on race-and-ethnicity that are needed to measure health equity are often limited or missing. The importance of first name and sex in predicting race-and-ethnicity is not well understood. OBJECTIVE: The objective of this study was to compare the contribution of first-name information to the accuracy of basic and more complex racial-and-ethnic imputations that incorporate surname information. RESEARCH DESIGN: We imputed race-and-ethnicity in a sample of Medicare beneficiaries under 2 scenarios: (1) with only sparse predictors (name, address, sex) and (2) with a rich set (adding limited administrative race-and-ethnicity, demographics, and insurance). SUBJECTS: A total of 284,627 Medicare beneficiaries who completed the 2014 Medicare Consumer Assessment of Healthcare Providers and Systems survey and reported race-and-ethnicity were included. RESULTS: Hispanic, non-Hispanic Asian/Pacific Islander, and non-Hispanic White racial-and-ethnic imputations are more accurate for males than females under both sparse-predictor and rich-predictor scenarios; adding first-name information increases accuracy more for females than males. In contrast, imputations of non-Hispanic Black race-and-ethnicity are similarly accurate for females and males, and first names increase accuracy equally for each sex in both sparse-predictor and rich-predictor scenarios. For all 4 racial-and-ethnic groups, incorporating first-name information improves prediction accuracy more under the sparse-predictor scenario than under the rich-predictor scenario. CONCLUSION: First-name information contributes more to the accuracy of racial-and-ethnic imputations in a sparse-predictor scenario than in a rich-predictor scenario and generally narrows sex gaps in accuracy of imputations.
Asunto(s)
Etnicidad , Medicare , Anciano , Población Negra , Femenino , Hispánicos o Latinos , Humanos , Masculino , Encuestas y Cuestionarios , Estados UnidosRESUMEN
BACKGROUND: Little is known about the healthcare experiences of Medicare beneficiaries in Puerto Rico. OBJECTIVES: We compare the experiences of elderly Medicare beneficiaries in Puerto Rico with their English-preferring and Spanish-preferring Medicare counterparts in the U.S. mainland. RESEARCH DESIGN: Linear regression models compared mean Consumer Assessment of Healthcare Providers and Systems scores for these groups, using cross-sectional data from the 2008 Medicare Consumer Assessment of Healthcare Providers and Systems survey. SUBJECTS: Medicare beneficiaries aged 65 years and older (6733 in Puerto Rico, 282,654 in the U.S. mainland) who completed the 2008 Medicare Consumer Assessment of Healthcare Providers and Systems survey. MEASURES: Six composite measures of beneficiary reports and two measures of beneficiary-reported immunization. RESULTS: Beneficiaries in Puerto Rico reported less positive experiences than both English-preferring and Spanish-preferring U.S. mainland beneficiaries for getting needed care, getting care quickly, and immunization (P<0.05 in all cases). Beneficiaries in Puerto Rico reported better customer service than Spanish-preferring U.S. mainland beneficiaries and better doctor communication experiences than English-preferring U.S. mainland beneficiaries. Additional analyses find little variation in care experiences within Puerto Rico by region, plan type, or specific plan. CONCLUSIONS: Medicare beneficiaries in Puerto Rico report generally worse healthcare experiences than beneficiaries in the U.S. mainland for several Consumer Assessment of Healthcare Providers and Systems outcomes and lower immunization rates. Lower funding of healthcare services in Puerto Rico relative to the U.S. mainland may affect healthcare. Strategies such as patient and provider education, provider financial incentives, and increased use of information technologies may improve adherence to the recommended preventive care practices.