Table 1.

Patient Demographic Data

	In-person (n = 2642)	Telehealth (n = 1685)	Both (n = 556)	Total (n = 4883)	p value
Age (years)					< 0.001
Mean (SD)	8.307 (9.280)	8.795 (11.370)	11.067 (12.743)	8.789 (10.505)
Sex					0.973
Female	1216 (46.0%)	782 (46.4%)	260 (46.8%)	2258 (46.2%)
Male	1425 (53.9%)	902 (53.5%)	296 (53.2%)	2623 (53.7%)
Race / Ethnicity					< 0.001
Hispanic or Latino	281 (10.6%)	200 (12.0%)	47 (8.5%)	528 (10.9%)
Non-Hispanic Black	299 (11.3%)	146 (8.8%)	34 (6.1%)	479 (9.8%)
Non-Hispanic White	1574 (59.6%)	1034 (62.0%)	386 (69.4%)	2994 (61.6%)
Other	485 (18.4%)	288 (17.3%)	89 (16.0%)	862 (17.7%)
Preferred Language					< 0.001
Arabic	25 (1.0%)	2 (0.1%)	2 (0.4%)	29 (0.6%)
English	2429 (92.5%)	1573 (95.0%)	527 (95.1%)	4529 (93.7%)
Spanish	105 (4.0%)	60 (3.6%)	18 (3.2%)	183 (3.8%)
Other	66 (2.5%)	21 (1.3%)	7 (1.3%)	94 (1.9%)
Median Home ZIP Code Income (USD)					0.007
Mean (SD)	83336 (38957)	87160 (40546)	84287 (36688)	84769 (39297)
Distance (km)					0.188
Mean (SD)	118 (312)	133 (351)	139 (281)	126 (323)
Payor Type					< 0.001
Commercial	1628 (61.6%)	1095 (65.0%)	362 (65.1%)	3085 (63.2%)
Medical Assistance	642 (24.3%)	468 (27.8%)	95 (17.1%)	1205 (24.7%)
Other	372 (14.1%)	122 (7.2%)	99 (17.8%)	593 (12.1%)

Patient age, sex, and self-reported race and ethnicity and language were abstracted from Epic. Income was approximated using the median income by ZIP code from 2019 census data. Distance was measured “as-the-crow” flies from the patient’s home address to the CHOP main hospital building. Patients were grouped based on the encounter types they had during the study periods. P values were generated by ANOVA or chi-squared tests where appropriate. Note that these numbers do not equal the total encounters because some patients were seen multiple times.