Literature DB >> 21682619

An examination of risk factors for readmission to acute adult mental health services within 28 days of discharge in the Australian setting.

Tom Callaly1, Tom Trauer, Mary Hyland, Tim Coombs, Michael Berk.   

Abstract

OBJECTIVE: The aim of this paper was to identify risk factors associated with readmission within 28 days of discharge from eight Australian adult acute mental health inpatient services.
METHOD: A detailed file audit was conducted comparing 222 patients readmitted within 28 days of discharge with 253 patients not readmitted during the same period.
RESULTS: There was an association between early readmission and having had contact with the service in the previous 12 months (51% vs 21%), having been admitted in the previous 12 months (65% vs 36%), and having been diagnosed with an emotionally unstable personality disorder (14% vs 4%). Those who were not readmitted had a significantly higher score in the Health of the Nation Outcome Scales on index admission than those who were readmitted. Those who had community team contact on the day of discharge and those who received follow up by the mental health team within 7 days of discharge were more likely to be readmitted (55% vs 45% and 29% vs 19% respectively).
CONCLUSIONS: Significant determinants of early readmission identified were a history of recent previous admissions and a diagnosis of unstable personality disorder. The usefulness of this performance measure to Area Mental Health Services and clinicians is discussed.

Entities:  

Mesh:

Year:  2011        PMID: 21682619     DOI: 10.3109/10398562.2011.561845

Source DB:  PubMed          Journal:  Australas Psychiatry        ISSN: 1039-8562            Impact factor:   1.369


  11 in total

1.  Exploring the predictors of early readmission to psychiatric hospital.

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2.  Factors Related to 30-day Readmission following Hospitalization for Any Medical Reason among Patients with Mental Disorders: Facteurs liés à la réhospitalisation à 30 jours suivant une hospitalisation pour une raison médicale chez des patients souffrant de troubles mentaux.

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3.  Predicting psychiatric readmission: sex-specific models to predict 30-day readmission following acute psychiatric hospitalization.

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4.  Adult general psychiatric patients served in Nebraska's state hospitals: patient characteristics and needs.

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Journal:  Community Ment Health J       Date:  2014-04-02

5.  AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units.

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6.  Readmission rates of South Korean psychiatric inpatients by inpatient volumes per psychiatrist.

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Review 7.  Pre-discharge factors predicting readmissions of psychiatric patients: a systematic review of the literature.

Authors:  V Donisi; F Tedeschi; K Wahlbeck; P Haaramo; F Amaddeo
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8.  Utility of the Health of the Nation Outcome Scales (HoNOS) in Predicting Mental Health Service Costs for Patients with Common Mental Health Problems: Historical Cohort Study.

Authors:  Conal Twomey; A Matthew Prina; David S Baldwin; Jayati Das-Munshi; David Kingdon; Leonardo Koeser; Martin J Prince; Robert Stewart; Alex D Tulloch; Alarcos Cieza
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Review 9.  Overview of post-discharge predictors for psychiatric re-hospitalisations: a systematic review of the literature.

Authors:  R Sfetcu; S Musat; P Haaramo; M Ciutan; G Scintee; C Vladescu; K Wahlbeck; H Katschnig
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10.  Validity of clinically significant change classifications yielded by Jacobson-Truax and Hageman-Arrindell methods.

Authors:  Fiona R Ronk; Geoffrey R Hooke; Andrew C Page
Journal:  BMC Psychiatry       Date:  2016-06-06       Impact factor: 3.630

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