Table 3.

Multilevel models of the odds of an encounter being via telehealth by cancer type post COVID-19.

					Cancer type
			Breast			P value		Colorectal		P value		Lung		P value
Patient characteristics, ORa (95% CI)
	Age at diagnosis (years)			1.01 (0.99-1.02)			.24		1.00 (0.99-1.02)		.59		1.01 (0.99-1.03)		.25
	Male sex			N/Ab					0.53 (0.35-0.81)c		.003		1.12 (0.80-1.57)		.51
Oncologist characteristics, OR (95% CI)
	Cancer specialty
		Medical oncology	Refd					Ref				Ref
		Radiation oncology	0.81 (0.30-2.21)			.69		0.73 (0.25-2.15)		.57		5.42 (1.44-20.45)c		.01
		Surgery	0.38 (0.20-0.71)c			.003		0.49 (0.21-1.15)		.10		0.68 (0.18-2.58)		.57
	Patient volume
		Low	Ref					Ref				Ref
		Medium	3.84 (1.09-13.62)c			.04		1.24 (0.38-4.07)		.74		1.98 (0.32-12.14)		.46
		High	1.09 (0.40-2.96)			.87		0.92 (0.37-2.28)		.84		0.34 (0.09-1.28)		.11
	Multisite physician			0.58 (0.28-1.22)			.15		0.70 (0.30-1.63)		.40		0.26 (0.09-0.76)c		.01
	Hub-hospital physician			2.21 (1.17-4.15)c			.01		1.10 (0.51-2.38)		.82		1.46 (0.45-4.72)		.53
Intraclass correlation coefficient
	Oncologist			0.163			N/A		0.144		N/A		0.333		N/A
	Patient			0.171			N/A		0.135		N/A		0.142		N/A
	Overall			0.334			N/A		0.286		N/A		0.475		N/A

^aOR: odds ratio.

^bN/A: not applicable.

^cSignificant, P<.05.

^dRef: reference.