Literature DB >> 23480716

Reporting CAHPS and HEDIS data by race/ethnicity for Medicare beneficiaries.

Steven C Martino1, Robin M Weinick, David E Kanouse, Julie A Brown, Amelia M Haviland, Elizabeth Goldstein, John L Adams, Katrin Hambarsoomian, David J Klein, Marc N Elliott.   

Abstract

OBJECTIVE: To produce reliable and informative health plan performance data by race/ethnicity for the Medicare beneficiary population and to consider appropriate presentation strategies. DATA SOURCES: Patient experience data from the 2008-2009 Medicare Advantage (MA) and fee-for-service (FFS) CAHPS surveys and 2008-2009 HEDIS data (MA beneficiaries only). STUDY
DESIGN: Mixed effects linear (and binomial) regression models estimated the reliability and statistical informativeness of CAHPS (HEDIS) measures. PRINCIPAL
FINDINGS: Seven CAHPS and seven HEDIS measures were reliable and informative for four racial/ethnic subgroups-Whites, Blacks, Hispanics, and Asian/Pacific Islanders-at sample sizes of 100 beneficiaries (200 for prescription drug plans). Although many plans lacked adequate sample size for reporting group-specific data, reportable plans contained a large majority of beneficiaries from each of the four racial/ethnic groups.
CONCLUSIONS: Statistically reliable and valid information on health plan performance can be reported by race/ethnicity. Many beneficiaries may have difficulty understanding such reports, however, even with careful guidance. Thus, it is recommended that health plan performance data by subgroups be reported as supplemental data and only for plans meeting sample size requirements. © Health Research and Educational Trust.

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Year:  2012        PMID: 23480716      PMCID: PMC3626354          DOI: 10.1111/j.1475-6773.2012.01452.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  29 in total

1.  Inequality in quality: addressing socioeconomic, racial, and ethnic disparities in health care.

Authors:  K Fiscella; P Franks; M R Gold; C M Clancy
Journal:  JAMA       Date:  2000-05-17       Impact factor: 56.272

2.  Psychometric properties of the CAHPS 1.0 survey measures. Consumer Assessment of Health Plans Study.

Authors:  R D Hays; J A Shaul; V S Williams; J S Lubalin; L D Harris-Kojetin; S F Sweeny; P D Cleary
Journal:  Med Care       Date:  1999-03       Impact factor: 2.983

3.  Differences in CAHPS adult survey reports and ratings by race and ethnicity: an analysis of the National CAHPS benchmarking data 1.0.

Authors:  L S Morales; M N Elliott; R Weech-Maldonado; K L Spritzer; R D Hays
Journal:  Health Serv Res       Date:  2001-07       Impact factor: 3.402

4.  Connections between quality measurement and improvement.

Authors:  Donald M Berwick; Brent James; Molly Joel Coye
Journal:  Med Care       Date:  2003-01       Impact factor: 2.983

5.  What is quality anyway? Performance reports that clearly communicate to consumers the meaning of quality of care.

Authors:  Judith H Hibbard; Jessica Greene; Debbie Daniel
Journal:  Med Care Res Rev       Date:  2010-01-21       Impact factor: 3.929

6.  Case-mix adjustment of the CAHPS Hospital Survey.

Authors:  A James O'Malley; Alan M Zaslavsky; Marc N Elliott; Lawrence Zaborski; Paul D Cleary
Journal:  Health Serv Res       Date:  2005-12       Impact factor: 3.402

7.  Do hospitals rank differently on HCAHPS for different patient subgroups?

Authors:  Marc N Elliott; William G Lehrman; Elizabeth Goldstein; Katrin Hambarsoomian; Megan K Beckett; Laura A Giordano
Journal:  Med Care Res Rev       Date:  2009-07-15       Impact factor: 3.929

8.  Variation in racial and ethnic differences in consumer assessments of health care.

Authors:  Nicole Lurie; Chunliu Zhan; Judith Sangl; Arlene S Bierman; Edward S Sekscenski
Journal:  Am J Manag Care       Date:  2003-07       Impact factor: 3.247

9.  Reliability of patient responses in pay for performance schemes: analysis of national General Practitioner Patient Survey data in England.

Authors:  Martin Roland; Marc Elliott; Georgios Lyratzopoulos; Josephine Barbiere; Richard A Parker; Patten Smith; Peter Bower; John Campbell
Journal:  BMJ       Date:  2009-09-29

10.  Variation in patient-reported quality among health care organizations.

Authors:  Loel S Solomon; Alan M Zaslavsky; Bruce E Landon; Paul D Cleary
Journal:  Health Care Financ Rev       Date:  2002
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  17 in total

1.  When Race/Ethnicity Data Are Lacking: Using Advanced Indirect Estimation Methods to Measure Disparities.

Authors:  Allen Fremont; Joel S Weissman; Emily Hoch; Marc N Elliott
Journal:  Rand Health Q       Date:  2016-06-20

2.  Does the racial/ethnic composition of Medicare Advantage plans reflect their areas of operation?

Authors:  Robin Weinick; Amelia Haviland; Katrin Hambarsoomian; Marc N Elliott
Journal:  Health Serv Res       Date:  2013-08-28       Impact factor: 3.402

3.  Do Experiences with Medicare Managed Care Vary According to the Proportion of Same-Race/Ethnicity/Language Individuals Enrolled in One's Contract?

Authors:  Rebecca Anhang Price; Amelia M Haviland; Katrin Hambarsoomian; Jacob W Dembosky; Sarah Gaillot; Robert Weech-Maldonado; Malcolm V Williams; Marc N Elliott
Journal:  Health Serv Res       Date:  2015-03-09       Impact factor: 3.402

4.  Imputing Missing Race/Ethnicity in Pediatric Electronic Health Records: Reducing Bias with Use of U.S. Census Location and Surname Data.

Authors:  Robert W Grundmeier; Lihai Song; Mark J Ramos; Alexander G Fiks; Marc N Elliott; Allen Fremont; Wilson Pace; Richard C Wasserman; Russell Localio
Journal:  Health Serv Res       Date:  2015-03-11       Impact factor: 3.402

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

Authors:  Ann Haas; Marc N Elliott; Jacob W Dembosky; John L Adams; Shondelle M Wilson-Frederick; Joshua S Mallett; Sarah Gaillot; Samuel C Haffer; Amelia M Haviland
Journal:  Health Serv Res       Date:  2018-12-03       Impact factor: 3.402

6.  Using predicted Spanish preference to target bilingual mailings in a mail survey with telephone follow-up.

Authors:  Marc N Elliott; David J Klein; Paul Kallaur; Julie A Brown; Ron D Hays; Nate Orr; Alan M Zaslavsky; Megan K Beckett; Sarah Gaillot; Carol A Edwards; Amelia M Haviland
Journal:  Health Serv Res       Date:  2018-11-22       Impact factor: 3.402

7.  Medicare Advantage and Fee-for-Service Performance on Clinical Quality and Patient Experience Measures: Comparisons from Three Large States.

Authors:  Justin W Timbie; Andy Bogart; Cheryl L Damberg; Marc N Elliott; Ann Haas; Sarah J Gaillot; Elizabeth H Goldstein; Susan M Paddock
Journal:  Health Serv Res       Date:  2017-12       Impact factor: 3.402

8.  How Do Gender Differences in Quality of Care Vary Across Medicare Advantage Plans?

Authors:  Chloe E Bird; Marc N Elliott; John L Adams; Eric C Schneider; David J Klein; Jacob W Dembosky; Sarah Gaillot; Allen M Fremont; Amelia M Haviland
Journal:  J Gen Intern Med       Date:  2018-08-10       Impact factor: 5.128

9.  Implications of Variation in the Relationships between Beneficiary Characteristics and Medicare Advantage CAHPS Measures.

Authors:  Laura A Hatfield; Alan M Zaslavsky
Journal:  Health Serv Res       Date:  2016-08-08       Impact factor: 3.402

10.  Do Racial/Ethnic Disparities in Quality and Patient Experience within Medicare Plans Generalize across Measures and Racial/Ethnic Groups?

Authors:  Robert Weech-Maldonado; Marc N Elliott; John L Adams; Amelia M Haviland; David J Klein; Katrin Hambarsoomian; Carol Edwards; Jacob W Dembosky; Sarah Gaillot
Journal:  Health Serv Res       Date:  2015-03-11       Impact factor: 3.402

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