Abstract

Background: Unplanned patient readmission (UPRA) is frequent and costly in healthcare settings. This study aimed to create a prediction model for predischarge detection of 5-years UPRA of patients with schizophrenia and schizoaffective (SZ/SA) disorders.

Methods: Consecutively admitted inpatients were comprehensively assessed before discharge from the hospital. After discharge, the readmission was tracked via computerized medical records for 5 years.

Results: Of 125 patients, 80.8% of participants were readmitted for the 5-year period (63.2% had readmissions within the first year). Regression analyses suggest the following predischarge predictors of readmissions: previous hospitalizations, elevated suicide risk, sensitivity and hostility scores, while better satisfaction with the quality of life and social support, lower depression and paranoid ideations, good adherence to treatment decreased readmission rates. Sociodemographic, background, and clinical variables did not reach a significant level to be predictors. The logistic regression model correctly classified 83.1% of subjects by their readmittance status.

Conclusion: The study revealed predischarge predictors for 5-years readmissions, and underlines the importance of assessing patient-reported outcome measures to identify patients at risk of readmission to the hospital.

Keywords: Mental Disorders; Readmissions; Predischarge Predictors; Distress; Quality of Life; Social Support

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Citation

Citation: Yael Ratner and Michael Ritsner. “Pre-discharge Predicting the 5-years Hospital Readmission in Patients with Schizophrenia and Schizoaffective Disorders”. Acta Scientific Neurology 4.11 (2021): 39-52.

Copyright

Copyright: © 2021 Yael Ratner and Michael Ritsner. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.