DOCUMENTS

papers

READMIT: A clinical risk index to predict 30-day readmission after discharge from acute psychiatric units

Published: December 13, 2014
Category: Papers
Authors: Fung K, Gruneir A, Herrmann N, Kurdyak PA, Lin E, Perlman C, Rochon PA, Seitz D, Taylor VH, Vigod SN
Country: Canada
Language: null
Type: Population Health
Settings: Hospital, PCP

J Psychiatr Res 61:205-213.

Women’s College Hospital, Toronto, ON, Canada; Women’s College Research Institute, Toronto, ON, Canada; Institute for Clinical Evaluative Sciences, Toronto, ON, Canada; University of Toronto, Toronto, ON, Canada; Centre for Addiction and Mental Health, Toronto, ON, Canada; Queens University, Kingston, ON, Canada; University of Waterloo, Waterloo, ON, Canada; University of Alberta, Edmonton, AB, Canada

Our aim was to create a clinically useful risk index, administered prior to discharge, for determining the probability of psychiatric readmission within 30 days of hospital discharge for general psychiatric inpatients. We used population-level sociodemographic and health administrative data to develop a predictive model for 30-day readmission among adults discharged from an acute psychiatric unit in Ontario, Canada (2008-2011), and converted the final model into a risk index system. We derived the predictive model in one-half of the sample (n = 32,749) and validated it in the other half of the sample (n = 32,750). Variables independently associated with 30-day readmission (forming the mnemonic READMIT) were: (R) Repeat admissions; (E) Emergent admissions (i.e. harm to self/others); (D) Diagnoses (psychosis, bipolar and/or personality disorder), and unplanned Discharge; (M) Medical comorbidity; (I) prior service use Intensity; and (T) Time in hospital. Each 1-point increase in READMIT score (range 0-41) increased the odds of 30-day readmission by 11% (odds ratio 1.11, 95% CI 1.10-1.12). The index had moderate discriminative capacity in both derivation (C-statistic = 0.631) and validation (C-statistic = 0.630) datasets. Determining risk of psychiatric readmission for individual patients is a critical step in efforts to address the potentially avoidable high rate of this negative outcome. The READMIT index provides a framework for identifying patients at high risk of 30-day readmission prior to discharge, and for the development, evaluation and delivery of interventions that can assist with optimizing the transition to community care for patients following psychiatric discharge.

PMID: 25537450

Canada,Predictive Model,Outcome Measures,Psychiatric Re-admission,Adult,Bipolar Disorder/diagnosis,Bipolar Disorder/epidemiology,Canada/epidemiology,Co-morbidity,Gender,Middle Aged,Personality Disorders/diagnosis, Personality Disorders/epidemiology,Predictive Value of Tests,Psychotic Disorders/epidemiology,Risk Factors,Time Factors,Validation Studies as Topic,Young Adult

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