Secondary outcomes
DrivePoints
REGRESSION
The DrivePoints score will be analysed using a constrained longitudinal data analysis (cLDA) model [The total number of police-reported crashes of any type during the 24-week intervention and post-intervention periods will be analysed using a Poisson regression model. Whether a driver has a self-reported crash during the 24-week intervention and post-intervention periods will be analysed using a log-binomial regression model. Driving behaviours (i.e., binary outcomes – speeding, harsh braking, and harsh acceleration at baseline and at weekly intervals from week 4 to week 28) will be analysed using mixed-effects Poisson regression models with robust standard errors. All analysis models will be adjusted for stratification factors, study site and sex.