Bridging Disciplinary Boundaries (January 11 - 14, 2007) |
Objectives: To critically examine the relapse rate, and associated predictors, of children and adolescents following their first-episode primary psychotic disorders or mood disorders with psychotic features, for which they were treated in an inpatient psychiatric hospital unit. This study constructed a Kaplan-Meier survival curve for time to first-relapse; conducted univariate survival analysis on 25 risk variables associated with time to first-relapse; and developed the first statistical risk-model for prediction of time to first relapse for children and adolescents diagnosed with primary psychotic disorders or mood disorders with psychotic features following first-episode hospital admission.
Methods: This research followed a retrospective follow-up longitudinal cohort research design. This multi-site study critically examines the relapse rate and associated predictors for children and adolescents following their first-episode of primary psychotic disorder or mood disorder with psychotic features. Participants were recruited across six inpatient psychiatric hospital units from which they were treated. A total of 87 (N = 87) Children and youth were followed for a minimum of two-years.
Results: Of the 87 participants, almost sixty percent (57%) experienced a recurrence by the end of follow-up, half of them within 34 months. A Cox Proportional Hazards Regression identified four key risk factors for relapse: adherence to medication, gender, clinical treatment, and maintenance of social support prior to first admission.
Conclusions: The Kaplan Meier analysis revealed that 50% (95% CI = 19.3% to 67.1%) of children and adolescents following a first-episode of primary psychotic disorders or mood disorders with psychotic features, for which they were treated in inpatient psychiatric hospital units, will relapse, requiring a second psychiatric inpatient hospitalization within 34 months. A Cox Proportional Hazards model predicted that having an event (relapse) in the worse case is 33 times more likely than in the best case. Where the best case would be a male, who is adherent to medication, with an unchanged social support network, and not currently receiving clinical treatment; and the worse case would be a female, who is non-adherent to medication, with a decreased social support network, and currently receiving clinical treatment. Clinical, policy, and research implications will be discussed.