Table IV.
Logistic Regression Model Examining Variability in Attendance for Scheduled In-Person (Pre-COVID-19) and Telehealth (Mid-COVID-19) Integrated Behavioral Health Consultation
Variables | B (S.E.) | p | Odds Ratio (95% CI) |
---|---|---|---|
Service delivery modality | 1.92 (0.67) | .004 | 6.85 (2.02, 29.46) |
Primary referral concern | |||
Externalizing vs. internalizing | 0.50 (1.27) | .696 | 1.64 (0.13, 20.42) |
Externalizing vs. other | −1.22 (0.96) | .205 | 0.30 (0.03, 1.64) |
Health insurance type | −0.08 (1.01) | .935 | 0.92 (0.10, 6.34) |
Race/Ethnicity | |||
White vs. Black | 1.42 (0.89) | .111 | 4.14 (0.75, 25.90) |
White vs. Hispanic | 1.32 (1.13) | .241 | 3.75 (0.40, 35.89) |
White vs. Other | −0.61 (1.02) | .551 | 0.55 (0.06, 3.69) |
Language | −1.39 (1.28) | .279 | 0.25 (0.02, 2.89) |
Sex | 0.73 (0.79) | .355 | 2.08 (0.45, 10.42) |
Age | −0.35 (0.11) | .002 | 0.71 (0.55, 0.86) |
Primary care provider for visit | −0.57 (1.03) | .576 | 0.56 (0.07, 4.23) |
Appointment type | 0.47 (1.06) | .660 | 1.59 (0.19, 13.00) |
Notes. N = 121. Age is a continuous variable due to model fit needs, but all other variables are categorical. Reference category is “0” for all categorical variables. Service delivery modality is coded as 0 = “in-person (pre-COVID-19)” and 1 = “telehealth (mid-COVID-19).” Primary referral concern is coded as 0 = “externalizing,” 1 = “internalizing,” and 2 = “other” (including developmental delay, medical concern, obsessive/habitual behavior, feeding/elimination problem, trauma/adjustment). Health insurance type is coded as 0 = “Medicaid/self-pay” and 1 = “commercial.” Race/ethnicity is coded as 0 = “White,” 1 = “Black,” 3 = “Hispanic,” and 3 = “other” (including Asian and multiracial). Language is coded as 0 = “English proficiency” and 1 = “limited English proficiency.” Sex is coded as 0 = “male” and 1 = “female.” The control variable ‘primary care provider‘ for visit is coded as 0 = “saw assigned or familiar PCP” and 1 = “unfamiliar PCP OR does not have assigned PCP.” The other control variable, appointment type, is coded as 0 = “initial joint consult” and 1 = “follow-up joint consult.” The dependent variable attendance is coded as 0 = “attended” and 1 = “did not attend.”