Table 1:
Likelihood of screening for study populations and predicted annual cancer screening rates with adjustment for participant and psychiatric rehabilitation program characteristics.
| Enrolled in BHH versus Not enrolled in BHH (Ref) | Enrolled in BHH | Not Enrolled in BHH | |||||
|---|---|---|---|---|---|---|---|
| Odds Ratio | 95% CI | p-value | Predicted Annual Rate (%) | 95% CI | Predicted Annual Rate (%) | 95% CI | |
| Cervical Cancer | 1.20 | 1.07–1.35 | .002 | 30.9 | 28.5–33.2 | 27.1* | 26.3–28.0 |
| Breast Cancer | 1.30 | 1.06–1.59 | .01 | 27.9 | 24.3–31.5 | 22.9* | 21.2–24.7 |
| Colorectal Cancer | .97 | .82–1.13 | .66 | 11.3 | 10.0–12.7 | 11.7 | 10.8–12.5 |
| Colonoscopy | 1.05 | .9–1.24 | .53 | 10.2 | 9.0–11.4 | 9.7 | 9.0–10.5 |
| Sigmoidoscopy | 1.21 | .27–5.50 | .80 | .2 | .0–.5 | .1 | .0–.3 |
| Fecal occult blood test | 1.09 | .77–1.54 | .64 | 3.4 | 2.3–4.3 | 3.1 | 2.6–3.6 |
Effects of behavioral health home (BHH) enrollment were estimated using marginal structural models. Results of logistic regression analysis are at the person-year level, with Pr(Outcome Eventij)= B0 + B1(HealthHomeij) + B2(year), where HealthHomeij represents any BHH enrollment in a given person-year period. Wald chi-square tests were used to compare differences in groups with * p<0.05.