Uncovering Psychiatric Readmission Patterns to Guide Hospital Practices

Hospitals face ongoing challenges in managing unnecessary readmissions. The aim of this study was to implement a novel, pattern-focused approach in order to identify and describe distinct patterns of readmissions among recurrently admitted psychiatric inpatients.

Admission records from 11,986 inpatients of an acute psychiatric hospital in the territory of Western Australia were retrospectively analyzed, with a focus on 1,831 patients with recurrent admissions (three or more admissions within 5 years). Cluster analysis grouped these patients on the basis of overall and dynamic temporal patterns of their readmissions across time.

Five distinct readmission patterns were identified, characterized by patients' admission frequency (mild, moderate, or intense) and whether they were readmitted in an episodic or stable pattern.

The pattern-focused approach identified novel readmission patterns reflecting both static and dynamic characteristics of recurrent inpatient care. This study provides the foundation for research into early indicators, risk prediction, and time-sensitive, patient-specific interventions. These clinical applications can guide hospitals to effectively prevent unnecessary inpatient readmissions.