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. Author manuscript; available in PMC: 2013 Feb 25.
Published in final edited form as: Med Care. 2008 Mar;46(3):247–256. doi: 10.1097/MLR.0b013e318158af52

Table 3.

Regression Models to Evaluate the Effects of RQP-MH on Patient Retention and Attendance

Coefficient Retention Analyses
Attendance Analyses
Four or More Visits During 6-Mo Period After Final Assessment (n = 188)*
At Least 1 Visit Scheduled During 6-Mo Period After Final Assessment (n = 188)*
Visits Attended Out of Total Scheduled During 6-Mo Period After Final Assessment (n = 171)
Odds Ratio 95% CI Odds Ratio 95% CI Rate Ratio 95% CI
Clinic (reference = comparison/clinic B) 1 1 1
Intervention (clinic A) 2.78 (1.33–5.79) 3.42 (1.02–11.41) 1.29 (1.16–1.43)
Age (yr) 1.01 (0.98–1.04) 1.03 (0.98–1.08) 1 (1.00–1.01)
Sex (reference = male) 1 1 1
Female 0.50 (0.19–1.36) 0.63 (0.13–3.10) 0.94 (0.84–1.05)
Race/ethnicity (reference = white) 1 Perfect Prediction 1
Latino 0.55 (0.15–1.96) 1.18 (1.01–1.38)
African American 0.44 (0.05–3.72) 1.04 (0.79–1.36)
Other 0.98 (0.13–7.53) 1.17 (0.92–1.50)
Education (reference = 11 yr or less) 1 1 1
12 yr or more 1.60 (0.76–3.35) 2.28 (0.76–6.85) 1.09 (0.99–1.20)
Veteran (reference) 1 1 1
Novice 0.41 (0.20–0.85) 0.19 (0.05–0.72) 1.03 (0.93–1.13)
*

Analyses included completers only (those with baseline and final assessment interviews); Data on attendance were not available for 6 cases (1 from Clinic A and 5 from Clinic B).

Patients without any scheduled appointments during follow-up were excluded from the analyses.

Perfect Prediction as all non-Latino patients, except 1, had at least 1 visit scheduled during the 6-mo period after final assessment.