Table 2.
CP Cohort | Non-CP Cohort | Test statistic (df) | p | |
---|---|---|---|---|
(n = 23) | (n = 41) | |||
Age | ||||
Mean (SD) | 32.6 (12) | 26.1 (9.49) | t = -2.37 (35.9) | * |
Gender N (%) | ||||
Male | 17 (74) | 20 (49) | X2 = .61 (1) | |
Female | 5 (22) | 17 (41) | ||
Non-Binary | 1 (4) | 4 (10) | ||
Race/ethnicity N (%) | ||||
White/Caucasian | 20 (88) | 39 (95) | X 2 = .01 (1) | |
Black/African American | 1 (4) | 0 | ||
Hispanic, Latinx | 1 (4) | 1 (2.5) | ||
Asian | 1 (4) | 1 (2.5) | ||
Telehealth acceptance | ||||
n (%) | 18 (90) | 39 (95) | X2 = 0.01 (1) | |
Sessions Attended - Pre-conversion | ||||
mean (SD) | 18.6 (14.54) | 24.57 (13.58) | t = 1.51 (36.8) | |
Sessions attended—Post-conversion | ||||
mean (SD) | 21.33 (13.48) | 23.6 (17.53) | t = 0.56 (50.8) | |
Sessions Missed — Pre-conversion | ||||
mean (SD) | 3.85 (4.44) | 6.92 (6.16) | t = 1.73 (38.5) | |
Sessions missed — Post-conversion | ||||
mean (SD) | 2.9 (3.16) | 4.26 (3.84) | t = 1.46 (48.4) | |
*p < 0.05. Welch two sample t-test used for comparisons with unequal variances. Chi-square test used with Yates’ continuity correction.