Appendix Table 6.

Multivariable regression analyses^* showing the association between care density and outcomes; models do not and do include the number of doctors visits as a covariate. Care density is constructed using all primary care, oncology specialists, and other providers during Days 366 to 1095.

	Base model	Including total number of doctors as covariate
	beta-coefficient (95% CI)	beta-coefficient (95% CI)
Total costs
<2 providers	2888 (1499 – 4277)	1938 (498 – 3379)
Low care density	0	0
Middle care density	−1742 (−2742 – −741)	−1292 (−2308 – −277)
High care density	−2116 (−3107 – −1125)	−2006 (−2997 – −1015)
Inpatient costs^
<2 providers	1236 (101 – 2371)	773 (−300 – 1847)
Low care density	0	0
Middle care density	−419 (−936 – 99)	−277 (−813 – 258)
High care density	−666 (−1138 – −1957)	−609 (−1079 – −139)
Outpatient costs
<2 providers	−339 (−579 – −99)	139 (−108 – 385)
Low care density	0	0
Middle care density	119 (−54 – 291)	−108 (−281 – 66)
High care density	−465 (−636 – −294)	−520 (−690 – −351)

^*Analyses are adjusted for age, gender (except breast/prostate models), race, SEER site, cancer type, state buy-in, urban/rural residence, total number of visits, visit with PCP, and Charlson comorbidity index

^{^}Two part models with recycled predictions and bootstrapping to estimate confidence intervals

bold = significant at p<0.05