Table 3:
Logistic regression results examining racial/ethnic differences in minimally adequate treatment among Medicaid-enrolled youth with a new episode of major depression
Adequate psychotherapy (≥ 4 visits) | Adequate pharmacotherapy | Adequate psychotherapy (≥ 4 visits) or pharmacotherapy | No psychotherapy and no pharmacotherapy | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ME(%) | 95% CI | ME(%) | 95% CI | ME(%) | 95% CI | ME(%) | 95% CI | |||||||||
Race/ethnicity (ref: non-Hispanic white) | ||||||||||||||||
Non-Hispanic black | −7.5 | −9.4 | to | −5.7 | −10.4 | −11.8 | to | −8.9 | −12.4 | −14.1 | to | −10.7 | 7.3 | 6.5 | to | 8.2 |
Hispanic | −2.5 | −4.6 | to | −0.3 | −6.1 | −8.0 | to | −4.1 | −6.5 | −8.6 | to | −4.3 | 2.1 | 0.7 | to | 3.5 |
Non-Hispanic other | −6.6 | −13.7 | to | 0.6 | −3.5 | −8.3 | to | 1.4 | −7.7 | −14.4 | to | −1.0 | 6.0 | 2.0 | to | 10.1 |
Unknown | −3.0 | −5.9 | to | −0.1 | −0.7 | −2.8 | to | 1.4 | −3.5 | −5.9 | to | −1.0 | 3.0 | 1.5 | to | 4.4 |
Demographics | ||||||||||||||||
Age | −0.4 | −0.6 | to | −0.2 | 1.4 | 1.1 | to | 1.6 | 0.1 | −0.1 | to | 0.3 | −0.4 | −0.5 | to | −0.3 |
Female | 1.6 | 0.5 | to | 2.7 | 4.4 | 3.6 | to | 5.3 | 3.4 | 2.3 | to | 4.4 | −3.0 | −3.6 | to | −2.4 |
Health plan type (ref: Fee-for-service or primary care case management) | ||||||||||||||||
Comprehensive managed care plan or any behavioral health care carve-out plan | −8.1 | −10.6 | to | −5.7 | 2.2 | 0.7 | to | 3.7 | −5.3 | −7.4 | to | −3.3 | 2.6 | 1.1 | to | 4.0 |
More than one type of plan | −7.4 | −9.1 | to | −5.6 | −1.3 | −2.7 | to | 0.2 | −6.0 | −7.7 | to | −4.4 | 1.4 | 0.4 | to | 2.5 |
Basis of Eligibility (ref: blind/disabled) | ||||||||||||||||
Foster care | 21.7 | 19.1 | to | 24.3 | 3.4 | 1.4 | to | 5.3 | 20.0 | 17.4 | to | 22.5 | −6.9 | −8.7 | to | −5.2 |
Other eligibility type | 6.7 | 4.8 | to | 8.6 | 1.0 | −0.4 | to | 2.4 | 5.5 | 3.9 | to | 7.2 | −3.2 | −4.1 | to | −2.2 |
Physical health comorbidity | ||||||||||||||||
Asthma | 2.0 | 0.02 | to | 4.0 | 4.2 | 2.4 | to | 6.1 | 4.0 | 2.0 | to | 6.0 | −1.8 | −3.3 | to | −0.4 |
Any other chronic condition | −2.8 | −5.8 | to | 0.1 | 1.0 | −1.5 | to | 3.4 | −1.4 | −4.3 | to | 1.5 | −0.1 | −1.9 | to | 1.7 |
Mental health comorbidity | ||||||||||||||||
Oppositional defiant disorder or conduct disorder | 9.2 | 7.6 | to | 10.7 | 2.0 | 0.9 | to | 3.2 | 8.7 | 7.0 | to | 10.4 | −1.8 | −2.7 | to | −0.8 |
Attention deficit hyperactivity disorder | 3.8 | 2.5 | to | 5.2 | 2.5 | 1.1 | to | 3.9 | 4.6 | 3.4 | to | 5.9 | −1.9 | −2.7 | to | −1.1 |
Anxiety disorder | 4.3 | 2.3 | to | 6.3 | 10.7 | 9.3 | to | 12.1 | 10.4 | 8.3 | to | 12.4 | −5.8 | −7.5 | to | −4.2 |
Bipolar disorder | 5.6 | 3.8 | to | 7.4 | 4.7 | 3.3 | to | 6.1 | 6.9 | 5.2 | to | 8.5 | −2.6 | −3.7 | to | −1.4 |
Other mental health disorder or substance use disorder | 9.7 | 8.2 | to | 11.1 | 6.7 | 5.8 | to | 7.5 | 11.0 | 9.7 | to | 12.3 | −4.4 | −5.1 | to | −3.6 |
County-level characteristics | ||||||||||||||||
Percentage residents living in urban areaa | −0.6 | −2.1 | to | 1.0 | −0.5 | −1.4 | to | 0.4 | −1.0 | −2.3 | to | 0.4 | 1.0 | −0.01 | to | 1.9 |
Percentage residents living in povertya | −0.8 | −1.9 | to | 0.3 | −1.0 | −1.9 | to | −0.1 | −1.1 | −2.0 | to | −0.1 | −0.5 | −1.4 | to | 0.4 |
Outpatient mental health facilities per 100K residentsa | −0.3 | −1.1 | to | 0.5 | −0.03 | −0.6 | to | 0.5 | −0.4 | −1.1 | to | 0.3 | 0.2 | −0.3 | to | 0.7 |
Community health centers per 100K residentsa | −0.5 | −1.7 | to | 0.6 | −0.5 | −1.2 | to | 0.3 | −0.8 | −1.9 | to | 0.3 | 1.3 | 0.4 | to | 2.2 |
Primary care physicians per 100K residentsa | 0.5 | −0.9 | to | 1.9 | −0.2 | −1.2 | to | 0.8 | 0.1 | −1.1 | to | 1.4 | −0.3 | −1.2 | to | 0.7 |
Psychologists per 100K residentsa | 1.0 | −1.2 | to | 3.1 | 0.1 | −0.9 | to | 1.1 | 0.9 | −1.3 | to | 3.0 | 0.3 | −1.2 | to | 1.8 |
Intercept | 40.9 | 22.8 | 54.7 | 12.9 |
Notes: ME = marginal effect; Ref = reference; CI = confidence interval. N = 45,816
Marginal effects and intercept were estimated at the reference of race/ethnicity (i.e., whites) and the observed value of other covariates.
Logistic regressions were estimated with state indicators and standard errors were clustered at the county level.
Continuous measures were standardized such that a one-unit increase corresponds to a one standard deviation increase in the measure above its mean value.