Table 3

Difference in overall Medicare spending in the last 30 days of life by primary outpatient oncologist type

CohortModel 1: SimpleModel 2: Multivariable
nMedicare spending ($)95% CIP valueMedicare spending ($)95% CIP value
Entire cohort*
Medical oncologist770576 77673 652 to 79 9000.26374 84972 227 to 77 4710.004
Gynecologic oncologist448480 54874 727 to 86 37083 85978 673 to 89 045
Propensity score-matched cohort, with replacement†
Medical oncologist276875 76970 650 to 80 8880.22773 19268 451 to 77 9330.013
Gynecologic oncologist448480 54874 725 to 86 37182 13977 246 to 87 032
Propensity score-matched cohort, without replacement‡
Medical oncologist448475 67871 675 to 79 6810.17773 62970 184 to 77 0740.003
Gynecologic oncologist448480 54874 726 to 86 37082 59777 867 to 87 327
  • *Covariates included in the multivariable regression models: age at death, race, ethnicity, marital status, median income of residential zip code at death, percent of people with less than a high school education in the residential zip code at death, SEER registry at death, residential urban status at death, year of diagnosis, year of death, cancer site, cause of death, stage at diagnosis, Medicare/Medicaid dual eligibility at death, and CCI at death.

  • †Covariates included in the multivariable regression models: SEER registry at death, cause of death, and CCI at death.

  • ‡Covariates included in the multivariable regression models: SEER registry at death, cause of death, and year of death.

  • CCI, Charlson Comorbidity Index; CI, confidence interval; SEER, Surveillance, Epidemiology and End Results .