Page 45 - Contributed Paper Session (CPS) - Volume 7

CPS2027 Olayan A. et al.
Cox regression were used to identify significant predictors of the
reoffending in the development data sets. Our final Cox regression model
identified 6-factors as being significant predictors of the reoffending;
Indigenous status, psychosis type, age at the first offence, the outcome from
the first offence, the type of the first offence and the status of contact with
mental health service after the first offence. Results were remarkably similar
when analyses were repeated using the validation datasets. (i.e. 33% of the
study population). All the 6- risk factors that were identified as significant
predictor of the reoffending in the development datasets were also
determined to be significant when the data were restricted to the validation
datasets. Subject-specific risk scores were calculated by adding the estimated
scores associated with each risk factor identified in the final prediction models
(i.e. in Table 2).

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