High-Risk Phenotypes of Early Psychiatric Readmission in Bipolar Disorder With Comorbid Medical Illness-Reference-Cited by-同舟云学术

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High-Risk Phenotypes of Early Psychiatric Readmission in Bipolar Disorder With Comorbid Medical Illness

Published:2019-11 Issue:6 Volume:60 Page:563-573
ISSN:0033-3182
Container-title:Psychosomatics
language:en
Short-container-title:Psychosomatics

Author:

Edgcomb Juliet,Shaddox Trevor,Hellemann Gerhard,Brooks John O.

Funder

NIH

National Center for Advancing Translational Science

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Applied Psychology,Arts and Humanities (miscellaneous)

Reference45 articles.

1. Is readmission a valid indicator of the quality of inpatient psychiatric care?;Durbin;J Behav Health Serv Res,2007

2. Trends in Hospital Readmissions for Four High-Volume Conditions, 2009-2013;Fingar,2006

3. Predictors of relapse in the year after hospital discharge among patients with schizophrenia;Schennach;Psychiatr Serv,2012

4. The effect of serious mental illness on the risk of rehospitalization among patients with diabetes;Chwastiak;Psychosomatics,2014

5. Psychotropic medication changes, polypharmacy, and the risk of early readmission in suicidal adolescent inpatients;Fontanella;Ann Pharmacother,2009

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1. Prediction of medical admissions after psychiatric inpatient hospitalization in bipolar disorder: a retrospective cohort study;Frontiers in Psychiatry;2024-09-03

2. Machine learning applied to the prediction of relapse, hospitalization, and suicide in bipolar disorder using neuroimaging and clinical data: A systematic review;Journal of Affective Disorders;2024-09

3. Clinical, sociodemographic and environmental predicting factors for relapse in bipolar disorder: A systematic review;Journal of Affective Disorders;2024-09

4. Identification of factors associated with hospitalization in an outpatient population with mental health conditions: a case–control study;Frontiers in Psychiatry;2024-04-18

5. Prediction of patient admission and readmission in adults from a Colombian cohort with bipolar disorder using artificial intelligence;Frontiers in Psychiatry;2023-12-21

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