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Insight and Its Trajectory: Predicting the Risk of Psychiatric Hospitalizations Among First-Episode Psychosis During
Hadar Hazan1, Maria Ferrara2, Toni Gibbs-Dean1
1Department of Psychiatry, Program for Specialized Treatment Early in Psychosis (STEP), Connecticut Mental Health Center (CMHC), Yale University School of Medicine, New Haven, CT 06477, United States.
Background:
This study explored how baseline insight predicts psychiatric hospitalization risk among 186 individuals with first-episode psychosis in coordinated specialty care (CSC). We hypothesized that insight, a potentially modifiable factor, moderates the relationship between CSC enrollment and outcomes, with a high baseline and stable high insight predicting greater reductions in hospitalizations and lengths of stay (LOS).
Design:
Insight was assessed using the G12 item of the positive and negative syndrome scale, categorizing participants into low (G12 ≥ 4; n = 87) or high (G12 < 4; n = 99) insight groups at baseline. Six longitudinal trajectories were identified: stable high (n = 48), increasing (n = 41), declining (n = 31), stable low (n = 27), high-low-high (n = 20), and low-high-low (n = 19). Hospitalization data were collected for 12 months pre- and post-CSC enrollment.
Results:
Participants with high baseline insight demonstrated a 95% greater relative reduction in hospitalizations (relative risk reduction = 1.95, P = .002), indicating that insight moderated the relationship between CSC enrollment and hospitalization outcomes. Longitudinally, the stable high insight group exhibited the most substantial reductions in hospitalizations (risk ratio [RR] = 0.12, P < .001) and LOS (RR = 0.04, P < .001), outperforming the stable low and fluctuating insight groups.
Conclusion:
Insight moderates the relationship between CSC enrollment and hospitalization outcomes, predicting clinical improvements in early psychosis. Interventions targeting insight may enhance CSC benefits by reducing hospitalizations and improving recovery trajectories.
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