OBJECTIVE: To examine racial/ethnic differences in Medicare beneficiary experiences with Medicare Part D prescription drug (PD) coverage. DATA SOURCES/STUDY SETTING: 2008 Consumer Assessment of Health Care Providers and Systems survey of U.S. Medicare beneficiaries. STUDY DESIGN: Surveys were administered by mail with phone follow-up to a nationally representative sample (61% response rate). This study examines 201,496 beneficiaries of age 65 and older with PD coverage [6% Hispanic, 7% non-Hispanic Black, 3% non-Hispanic Asian or Pacific Islander (API)]. Key variables are self-reported race/ethnicity and Consumer Assessment of Health Care Providers and Systems getting information and needed PDs measures. DATA COLLECTION/EXTRACTION METHODS: We generated weighted case-mix adjusted means for 4 racial/ethnic groups and for Hispanics separately by English-language or Spanish-language preference status. We calculated within-plan disparities using a linear mixed-effect model, with fixed effects for race/ethnicity, coverage type and case-mix variables, and random effects for contract and contract by race/ethnicity interactions. PRINCIPAL FINDINGS: Disparities for Hispanic, Black, and API beneficiaries on obtaining needed PDs and information regarding coverage range from -2 to -11 points (0-100 scale) relative to non-Hispanic Whites, with the greatest disparities observed for Spanish-preferring Hispanics and API beneficiaries, especially those with low income. There is wide variation in disparities across contracts, and contracts with the largest disparities for Hispanics have higher proportions of beneficiaries with lower education and income. CONCLUSIONS: Quality improvement efforts may be needed to reduce racial/ethnic disparities in beneficiary experience with PD coverage. Cultural, language, and health literacy barriers in navigating Medicare's Part D program may partially explain the observed disparities.
OBJECTIVE: To examine racial/ethnic differences in Medicare beneficiary experiences with Medicare Part D prescription drug (PD) coverage. DATA SOURCES/STUDY SETTING: 2008 Consumer Assessment of Health Care Providers and Systems survey of U.S. Medicare beneficiaries. STUDY DESIGN: Surveys were administered by mail with phone follow-up to a nationally representative sample (61% response rate). This study examines 201,496 beneficiaries of age 65 and older with PD coverage [6% Hispanic, 7% non-Hispanic Black, 3% non-Hispanic Asian or Pacific Islander (API)]. Key variables are self-reported race/ethnicity and Consumer Assessment of Health Care Providers and Systems getting information and needed PDs measures. DATA COLLECTION/EXTRACTION METHODS: We generated weighted case-mix adjusted means for 4 racial/ethnic groups and for Hispanics separately by English-language or Spanish-language preference status. We calculated within-plan disparities using a linear mixed-effect model, with fixed effects for race/ethnicity, coverage type and case-mix variables, and random effects for contract and contract by race/ethnicity interactions. PRINCIPAL FINDINGS: Disparities for Hispanic, Black, and API beneficiaries on obtaining needed PDs and information regarding coverage range from -2 to -11 points (0-100 scale) relative to non-Hispanic Whites, with the greatest disparities observed for Spanish-preferring Hispanics and API beneficiaries, especially those with low income. There is wide variation in disparities across contracts, and contracts with the largest disparities for Hispanics have higher proportions of beneficiaries with lower education and income. CONCLUSIONS: Quality improvement efforts may be needed to reduce racial/ethnic disparities in beneficiary experience with PD coverage. Cultural, language, and health literacy barriers in navigating Medicare's Part D program may partially explain the observed disparities.
Authors: David J Klein; Marc N Elliott; Amelia M Haviland; Debra Saliba; Q Burkhart; Carol Edwards; Alan M Zaslavsky Journal: Gerontologist Date: 2011-06-23
Authors: Donna O Farley; Marc N Elliott; Amelia M Haviland; Mary Ellen Slaughter; Amy Heller Journal: Health Serv Res Date: 2011-06-03 Impact factor: 3.402
Authors: Laurie T Martin; Teague Ruder; José J Escarce; Bonnie Ghosh-Dastidar; Daniel Sherman; Marc Elliott; Chloe E Bird; Allen Fremont; Charles Gasper; Arthur Culbert; Nicole Lurie Journal: J Gen Intern Med Date: 2009-09-16 Impact factor: 5.128
Authors: Steven C Martino; Marc N Elliott; Paul D Cleary; David E Kanouse; Julie A Brown; Karen L Spritzer; Amy Heller; Ron D Hays Journal: Health Care Financ Rev Date: 2009
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
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
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
Authors: Alyce S Adams; Stephen B Soumerai; Fang Zhang; Daniel Gilden; Marguerite Burns; Haiden A Huskamp; Connie Trinacty; Margarita Alegria; Robert F LeCates; Jennifer J Griggs; Dennis Ross-Degnan; Jeanne M Madden Journal: Clin Ther Date: 2015-01-22 Impact factor: 3.393
Authors: JoEllen Jarrett Jamison; Junling Wang; Satya Surbhi; Samantha Adams; David Solomon; Kenneth C Hohmeier; Sharon McDonough; James C Eoff Journal: Divers Equal Health Care Date: 2016-08-23
Authors: Alyce S Adams; Jeanne M Madden; Fang Zhang; Stephen B Soumerai; Dan Gilden; Jennifer Griggs; Connie M Trinacty; Christine Bishop; Dennis Ross-Degnan Journal: Med Care Date: 2014-08 Impact factor: 2.983
Authors: Morgan E Grams; Kunihiro Matsushita; Yingying Sang; Michelle M Estrella; Meredith C Foster; Adrienne Tin; W H Linda Kao; Josef Coresh Journal: J Am Soc Nephrol Date: 2014-04-10 Impact factor: 10.121