Data analysis
REGRESSION, SECONDARY
Descriptive analysis was carried out for all variables, with comparisons made between groups with Chi-Square or Fisher’s Exact tests for categorical variables as appropriate based on cell values, and two-sided independent t-test for continuous variables. We compared groups as intention-to-treat on the primary and secondary outcomes using Fisher’s Exact test and Poisson regression with robust standard errors (unadjusted and adjusted). The adjusted model included demographic factors known to influence contraception use or identified as having influence through a series of bivariate associations with contraception use, including recovery site (residential vs. outpatient), pregnancy intention (trying to avoid/wouldn’t mind avoiding vs. other), pregnancy history (ever been pregnant vs. not) and recency of substance use (defined as use within the three months prior to baseline vs. none). We analyzed the primary outcome again including participants who had missed the one-month assessment but reported a contraception injection (which protects for three months) at post-intervention or two weeks. Quantitative analyses were completed in SAS Version 9.4. (SAS Institute, Cary, NC). Field notes were analyzed with qualitative coding to identify facilitators and barriers according to Bowen’s feasibility constructs [