Grant: Project Grant

Approximately 3% of the population lives with psychotic spectrum disorders (PSDs). Despite effective treatments, managing PSDs remains intricate and financially burdensome for the healthcare system, the patients, and their families. The intricacies of navigating through the healthcare system-such as care trajectories and transitions-significantly impact the prevention and monitoring of PSDs, as well as the effectiveness, safety, and adherence to treatments. Unfortunately, decision-makers in healthcare have limited access to the necessary evidence to inform improvements in clinical and organizational practices. To address this gap, research must be conducted in real-world settings, and communication between researchers, policymakers, clinicians, and patients must be enhanced. In this context, the objectives of this project are: 1) To analyze the trajectories and transitions of care during different stages of PSDs; 2) To assess the utilization, adherence, effectiveness, and safety of pharmacological treatments for PSDs; 3) To develop predictive models using machine learning algorithms to anticipate important health outcomes. We will use health administrative data to select a cohort of patients with PSDs in Quebec from 2012 to 2024, paired with educational data from the Ministries of Education and Higher Education. Innovative methodologies will be employed to achieve these objectives. With the collaboration of our stakeholders, the findings have the potential to translate into tangible actions that benefit populations affected by PSDs.