ArticleFrontiers in psychology2026
Design and predictive performance analysis of an early readmission risk index in a mental health hospitalization unit: an exploratory study.
Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06604780 (Implementation and Evaluation of a Transition to Discharge Program for the Reduction of Early Readmission in a Mental Health Inpatient Unit), which is not on this map. Not yet cited in PubMed.
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Implementation and Evaluation of a Transition to Discharge Program for the Reduction of Early Readmission in a Mental Health Inpatient Unit
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7 authors.
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Abstract
Early hospital readmission in mental health inpatients negatively affects patient outcomes and increases healthcare costs, making early risk identification crucial. This study aimed to develop a 30-day readmission risk index using a retrospective case-control design in the Mental Health Hospitalization Unit of the Hospital Regional Universitario de Málaga, including 196 admission episodes (98 early readmissions and 98 controls). Univariate and multivariate logistic regression analyses identified the following predictive variables: previous hospital admissions, presence of a personality disorder, high social risk, having used emergency services in the past year, having a legal capacity restriction, aggressive behavior at admission, and marital status. The resulting index demonstrated good predictive performance (AUC = 0.764), with internal validation showing an optimism-corrected AUC of 0.727 and acceptable calibration (slope = 0.796, intercept = -0.023). This tool may be useful for risk stratification and post-discharge planning, but should be used cautiously due to the exploratory nature of the study. Clinical trial registration: ClinicalTrials.gov, identifier NCT06604780.
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