What is it about?
Identifying behavioral health employees at high turnover risk can help with excessive turnover and workforce shortages. The study demonstrates the predictabilities of HR-data machine learning and job wellbeing indicators for behavioral health employee turnover within the next 12 months. Lack of job development opportunities, expectation misalignment in the job, and lower expectations towards supervisors about discussing job wellbeing could lead to turnover.
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This page is a summary of: Prediction of Behavioral Health Employee Turnover With HR Data–Based Machine Learning Combined With Job Well-Being Indicators, Psychiatric Services, January 2026, American Psychiatric Association,
DOI: 10.1176/appi.ps.20250364.
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