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. 2020 Jun 25;3(6):e208974. doi: 10.1001/jamanetworkopen.2020.8974

Table 3. Multivariable Logistic Model for Successful Opioid Modification at 1 Yeara.

Outcome Odds ratio (95% CI) P value
Age per 10 y 1.06 (0.98-1.15) .13
Sex
Male 1 [Reference] .10
Female 0.83 (0.67-1.04)
Instrumentation 0.86 (0.68-1.10) .22
Charlson Comorbidity Index
0 1 [Reference] <.001
1 0.67 (0.50-0.90)
2-3 0.61 (0.45-0.83)
≥4 0.45 (0.32-0.63)
Preoperative opioid availability
No 1 [Reference] <.001
Short-term 0.61 (0.48-0.77)
Episodic 0.95 (0.64-1.40)
Long-term 0.49 (0.30-0.82)
Depression 0.89 (0.70-1.13) .32
Tobacco use 0.84 (0.67-1.05) .13
Anxiety 0.76 (0.58-0.99) .04
Discharge location
Home 1 [Reference] .06
Not home 0.66 (0.47-0.94)
Not documented 1.02 (0.50-2.08)
a

Only patients living in the catchment area at 1 year after discharge were included in the analysis (n = 2148). In addition to the covariables presented in the table, to account for variability in prescribing practices across the time frame of the study, the model was adjusted for date of surgery using restricted cubic splines. Model concordance was 0.64, and there was no evidence of significant lack of fit (Hosmer Lemeshow goodness of fit test, P = .38).