
Optimizing Long-Term Outcomes in Community-Based Schizophrenia Care
Clinicians outline ways to boost schizophrenia outcomes: team-and-family collaboration, early detection, medication access, measurement-based care.
Episodes in this series

In the final episode, "Optimizing Long-Term Outcomes in Community-Based Schizophrenia Care," the panelists explore practical strategies for optimizing long-term schizophrenia outcomes in community settings before offering candid closing reflections on the systemic changes they believe would most transform care.
Dr. Alva opens by framing the discussion around a central truth: that even the most carefully selected treatment becomes meaningless if the discharge plan fails at the pharmacy counter. Mark Jankelow responds by emphasizing the importance of holistic care coordination — including connecting patients to primary care, facilitating specialist referrals in neurology, endocrinology, or rheumatology where needed, and ensuring that care coordinators actively bridge gaps across providers and specialties. Dr. Hara Oyedeji adds an equally important dimension, urging clinicians to reconnect with their foundational motivation for entering psychiatry. She argues that leading with hope and purpose sustains the energy needed to navigate prior authorizations, advocate for medication access, and collaborate across teams — particularly during periods of burnout.
The episode concludes with each panelist sharing the one systemic change they would prioritize. Dr. Oyedeji calls for greater accessibility and insurance advocacy, arguing that the science already supports earlier and broader intervention — what is needed now is the systemic will to make it reachable. Mark Jankelow advocates for earlier disease identification, emphasizing the need to train students and newer clinicians to recognize schizophrenia sooner and act decisively to get patients on appropriate treatment without hesitation. Dr. Christoph Correll champions measurement-based care and its reimbursement, arguing that leveraging technology and large language models to systematically track outcomes represents the next frontier in closing the gap between available treatments and patient outcomes. Dr. John Kane closes with a call for better implementation of evidence-based practice, noting that despite decades of research, a significant gap remains between what the evidence supports and what patients actually receive.
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