TY - JOUR
T1 - Associations between end-of-life cancer care patterns and medicare expenditures
AU - Wang, Shi Yi
AU - Hall, Jane
AU - Pollack, Craig E.
AU - Adelson, Kerin
AU - Davidoff, Amy J.
AU - Long, Jessica B.
AU - Gross, Cary P.
N1 - Publisher Copyright:
© JNCCN-Journal of the National Comprehensive Cancer Network.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - Background: The purpose of this study was to examine the extent to which patterns of intensive end-of-life care explain geographic variation in end-of-life care expenditures among cancer decedents. Methods: Using the SEER-Medicare database, we identified 90,465 decedents who were diagnosed with cancer in 2004-2011. Measures of intensive end-of-life care included chemotherapy received within 14 days of death; more than 1 emergency department visit, more than 1 hospitalization, or 1 or more intensive care unit (ICU) admissions within 30 days of death; in-hospital death; and hospice enrollment less than 3 days before death. Using hierarchical generalized linear models, we estimated risk-adjusted expenditures in the last month of life for each hospital referral region and identified key contributors to variation in expenditures. Results: The mean expenditure per cancer decedent in the last month of life was $10,800, ranging from $8,300 to $15,400 in the lowest and highest expenditure quintile areas, respectively. There was considerable variation in the percentage of decedents receiving intensive end-of-life care intervention, with 41.7% of decedents receiving intensive care in the lowest quintile of expenditures versus 57.9% in the highest quintile. Regional patterns of late chemotherapy or late hospice use explained only approximately 1% of the expenditure difference between the highest and lowest quintile areas. In contrast, the proportion of decedents who had ICU admissions within 30 days of death was a major driver of variation, explaining 37.6% of the expenditure difference. Conclusions: Promoting appropriate end-of-life care has the potential to reduce geographic variation in end-of-life care expenditures.
AB - Background: The purpose of this study was to examine the extent to which patterns of intensive end-of-life care explain geographic variation in end-of-life care expenditures among cancer decedents. Methods: Using the SEER-Medicare database, we identified 90,465 decedents who were diagnosed with cancer in 2004-2011. Measures of intensive end-of-life care included chemotherapy received within 14 days of death; more than 1 emergency department visit, more than 1 hospitalization, or 1 or more intensive care unit (ICU) admissions within 30 days of death; in-hospital death; and hospice enrollment less than 3 days before death. Using hierarchical generalized linear models, we estimated risk-adjusted expenditures in the last month of life for each hospital referral region and identified key contributors to variation in expenditures. Results: The mean expenditure per cancer decedent in the last month of life was $10,800, ranging from $8,300 to $15,400 in the lowest and highest expenditure quintile areas, respectively. There was considerable variation in the percentage of decedents receiving intensive end-of-life care intervention, with 41.7% of decedents receiving intensive care in the lowest quintile of expenditures versus 57.9% in the highest quintile. Regional patterns of late chemotherapy or late hospice use explained only approximately 1% of the expenditure difference between the highest and lowest quintile areas. In contrast, the proportion of decedents who had ICU admissions within 30 days of death was a major driver of variation, explaining 37.6% of the expenditure difference. Conclusions: Promoting appropriate end-of-life care has the potential to reduce geographic variation in end-of-life care expenditures.
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U2 - 10.6004/jnccn.2016.0107
DO - 10.6004/jnccn.2016.0107
M3 - Article
C2 - 27496116
AN - SCOPUS:84982883593
SN - 1540-1405
VL - 14
SP - 1001
EP - 1008
JO - JNCCN Journal of the National Comprehensive Cancer Network
JF - JNCCN Journal of the National Comprehensive Cancer Network
IS - 8
ER -