GS-1101 Earns Free Turbo-Charge... Through A Civic Activity Business!!

Counselling calls completed as a result of a positive IVR screen and successful transfer to a Quit Coach (ie, IVR-transferred counselling calls) were tracked in addition to standard programme calls (5 planned calls plus participant-initiated inbound calls). Outcomes measured at 6 and 12?months At 6 and 12?months after randomisation, participants completed telephone interviewsi administered by outcomes evaluators from the Indiana University Center for Survey Research who were blind to study condition to measure abstinence. All participants rated their satisfaction with the QFL service, and those in the TEQ groups were asked their opinions of the IVR system during the 6-month survey. When participants could not be reached after repeated phone attempts, we also mailed a brief paper survey with only the smoking abstinence questions. Survey response rates were 61% and 59% at 6 and 12?months, respectively. The primary study outcomes were quit rates at 6 and 12?months, defined as 7-day and 30-day self-reported point prevalence abstinence measured by the question, ��In the last [7/30] days, have you smoked a cigarette, even a puff?��. Time to relapse was examined as a secondary outcome and was identified using three questions: ��Since [end of two-week grace period], have you ever smoked at least a part of a cigarette on 7?days in a row?��; ��Since [end of two-week grace period], have you ever smoked any in each of two consecutive weeks (at least 1 day for 2 weeks in a row)?��, and [if yes to either of the 2 previous questions] ��What was the first day of that 7-day or two-week period that you smoked?��.16 Statistical analyses Missing check details values on all 6-month and 12-month outcomes were imputed using the state-of-the-art imputation method called ��multiple imputation��24 with sequential regression.25 Multiple imputation allows all cases (N=1785) to be included in the analysis. Two imputation models were performed: one for 7-day and one for 30-day point prevalence abstinence. With this approach, variables with no missing values served as independent variables. The variable with the least amount of missing data was imputed first, and used as the dependent variable. Once imputation was carried out, the next variable with the least amount of missing data was imputed using all variables with non-missing values as independent variables including the variable imputed on the previous step. This cycle continued until all missing values were imputed resulting in a series of regressions, hence the name sequential regression.