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Racial and Ethnic Differences in End‐of‐Life Medicare Expenditures
Author(s) -
Byhoff Elena,
Harris John A.,
Langa Kenneth M.,
Iwashyna Theodore J.
Publication year - 2016
Publication title -
journal of the american geriatrics society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.992
H-Index - 232
eISSN - 1532-5415
pISSN - 0002-8614
DOI - 10.1111/jgs.14263
Subject(s) - medicine , socioeconomic status , ethnic group , demography , gerontology , cohort , race (biology) , health and retirement study , non hispanic whites , medical expenditure panel survey , retrospective cohort study , population , health care , environmental health , health insurance , mexican americans , sociology , botany , anthropology , biology , economics , economic growth
Objectives To determine to what extent demographic, social support, socioeconomic, geographic, medical, and End‐of‐Life ( EOL ) planning factors explain racial and ethnic variation in Medicare spending during the last 6 months of life. Design Retrospective cohort study. Setting Health and Retirement Study ( HRS ). Participants Decedents who participated in HRS between 1998 and 2012 and previously consented to survey linkage with Medicare claims (N = 7,105). Measurements Total Medicare expenditures in the last 180 days of life according to race and ethnicity, controlling for demographic factors, social supports, geography, illness burden, and EOL planning factors, including presence of advance directives, discussion of EOL treatment preferences, and whether death had been expected. Results The analysis included 5,548 (78.1%) non‐Hispanic white, 1,030 (14.5%) non‐Hispanic black, and 331 (4.7%) Hispanic adults and 196 (2.8%) adults of other race or ethnicity. Unadjusted results suggest that average EOL Medicare expenditures were $13,522 (35%, P  < .001) more for black decedents and $16,341 (42%, P  < .001) more for Hispanics than for whites. Controlling for demographic, socioeconomic, geographic, medical, and EOL ‐specific factors, the Medicare expenditure difference between groups fell to $8,047 (22%, P  < .001) more for black and $6,855 (19%, P  < .001) more for Hispanic decedents than expenditures for non‐Hispanic whites. The expenditure differences between groups remained statistically significant in all models. Conclusion Individuals‐level factors, including EOL planning factors do not fully explain racial and ethnic differences in Medicare spending in the last 6 months of life. Future research should focus on broader systemic, organizational, and provider‐level factors to explain these differences.

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