Dataset Information

Imputation of race/ethnicity to enable measurement of HEDIS performance by race/ethnicity.

ABSTRACT:

Objective

To improve an existing method, Medicare Bayesian Improved Surname Geocoding (MBISG) 1.0 that augments the Centers for Medicare & Medicaid Services' (CMS) administrative measure of race/ethnicity with surname and geographic data to estimate race/ethnicity.

Data sources/study setting

Data from 284 627 respondents to the 2014 Medicare CAHPS survey.

Study design

We compared performance (cross-validated Pearson correlation of estimates and self-reported race/ethnicity) for several alternative models predicting self-reported race/ethnicity in cross-sectional observational data to assess accuracy of estimates, resulting in MBISG 2.0. MBISG 2.0 adds to MBISG 1.0 first name, demographic, and coverage predictors of race/ethnicity and uses a more flexible data aggregation framework.

Data collection/extraction methods

We linked survey-reported race/ethnicity to CMS administrative and US census data.

Principal findings

MBISG 2.0 removed 25-39 percent of the remaining MBISG 1.0 error for Hispanics, Whites, and Asian/Pacific Islanders (API), and 9 percent for Blacks, resulting in correlations of 0.88 to 0.95 with self-reported race/ethnicity for these groups.

Conclusions

MBISG 2.0 represents a substantial improvement over MBISG 1.0 and the use of CMS administrative data on race/ethnicity alone. MBISG 2.0 is used in CMS' public reporting of Medicare Advantage contract HEDIS measures stratified by race/ethnicity for Hispanics, Whites, API, and Blacks.

SUBMITTER: Haas A

PROVIDER: S-EPMC6338295 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Imputation of race/ethnicity to enable measurement of HEDIS performance by race/ethnicity.

Haas Ann A Elliott Marc N MN Dembosky Jacob W JW Adams John L JL Wilson-Frederick Shondelle M SM Mallett Joshua S JS Gaillot Sarah S Haffer Samuel C SC Haviland Amelia M AM

Health services research 20181203 1

<h4>Objective</h4>To improve an existing method, Medicare Bayesian Improved Surname Geocoding (MBISG) 1.0 that augments the Centers for Medicare & Medicaid Services' (CMS) administrative measure of race/ethnicity with surname and geographic data to estimate race/ethnicity.<h4>Data sources/study setting</h4>Data from 284 627 respondents to the 2014 Medicare CAHPS survey.<h4>Study design</h4>We compared performance (cross-validated Pearson correlation of estimates and self-reported race/ethnicity) ...[more]

PMID: 30506674

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Project description:Over 80% of bias-motivated violent victimization is motivated by race or ethnicity and over 50% of bias victimization occurs in non-Hispanic Whites (NHW). Our aim was to determine the risk and health impacts of race/ethnicity-motivated violent victimization by victim race/ethnicity. We examined data from the National Crime Victimization Survey (2003-2015) to estimate violent victimization risk by victim race/ethnicity across race/ethnicity bias victimization, other types of bias victimizations, and non-bias violent victimizations. We examined incident and offender characteristics for race/ethnicity-motivated victimization by victim race/ethnicity. The risk of race/ethnicity-motivated violent victimization was greater for non-Hispanic Blacks (NHB) and Hispanics than for NHWs (incidence rate ratios [IRR] = 1.4; 95% confidence interval [CI] = [1.0, 2.0], and IRR = 1.6; 95% CI = [1.2, 2.1]). This translates into an additional 46.7 incidents per 100,000 person-years (95% CI = [1.4, 92.1]) for the NHB population and an additional 60.3 incidents per 100,000 person-years (95% CI = [20.3, 100.4]) for the Hispanic population. Violent incidents for NHB victims more frequently resulted in injury or medical care. Nearly 40% of NHB victims reported difficulties at school or work related to the incident where only 21.5% of NHWs and 11.7% of Hispanic victims reported similar problems. Roughly 37% of NHB victims identified a NHW offender and 45% of NHW victims identified a NHB offender. Hispanic victims identified NHB or NHW offenders in over 70% of incidents. Although literature suggests that NHWs account for the majority of bias victimizations, the risk of non-fatal violent victimization motivated by race/ethnicity is greater for NHBs and Hispanics. Crimes perpetrated against NHBs are likely more severe and victim/offender racial incongruity is common. Findings provide empiric evidence on race/ethnicity-related structural disadvantage with adverse health consequences.

Dataset Information

Imputation of race/ethnicity to enable measurement of HEDIS performance by race/ethnicity.

Objective

Data sources/study setting

Study design

Data collection/extraction methods

Principal findings

Conclusions

Publications

Imputation of race/ethnicity to enable measurement of HEDIS performance by race/ethnicity.

Similar Datasets

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