Skip to main content
. 2022 Jul 25;6(7):e38054. doi: 10.2196/38054

Table 1.

Participant characteristics.

Characteristics In-person (n=29) Preoperative Clinical Video Telehealth (n=33) P valuea
Age (years), mean (SD) 62.83 (11.23) 59.36 (15.43) .32
Gender, n (%) .26

Male 28 (96.6) 28 (84.8)

Female 1 (3.4) 5 (15.2)
Elixhauser comorbidity score, n (%) .16

≤1 5 (17.2) 11 (33.3)

0 6 (20.7) 9 (27.3)

≥1 and <5 8 (27.6) 10 (30.3)

≥6 and <10 4 (13.8) 1 (3)

≥11 and <19 6 (20.7) 2 (6.1)
Surgical specialty, n (%) .68

Urology 7 (24.1) 6 (18.2)

Colorectal 1 (3.4) 2 (6.1)

Ophthalmology 1 (3.4) 0 (0)

Plastic surgery 1 (3.4) 5 (15.2)

General 6 (20.7) 3 (9.1)

Orthopedics 6 (20.7) 6 (18.2)

Gynecology 0 (0) 1 (3)

Ear, nose, and throat 2 (6.9) 4 (12.1)

Neurosurgery 4 (13.8) 5 (15.2)

Vascular 1 (3.4) 1 (3)
ASA class, n (%)b .13

1 1 (3.4) 2 (6.1)

2 0 (0) 5 (15.2)

3 27 (93.1) 24 (72.7)

4 1 (3.4) 2 (6.1)

Length of stay, mean (SD) 6.55 (9.09) 3.33 (3.97) .07

aPearson chi-square test for categorical variables. Student t test for continuous variables.

bASA: American Society of Anesthesiologists.