Literature DB >> 20797358

Readmission to an acute psychiatric unit within 28 days of discharge: identifying those at risk.

Thomas Callaly1, Mary Hyland, Tom Trauer, Seetal Dodd, Michael Berk.   

Abstract

OBJECTIVE: To examine factors that could help identify those most at risk of readmission to an acute psychiatric in-patient unit within 28 days of a discharge.
METHOD: A detailed file audit was conducted comparing 54 consecutive patients who had been readmitted within 28 days of discharge with 61 patients, chosen at random, who had not been readmitted during the same period.
RESULTS: Readmission within 28-days of discharge was associated with having been admitted in the previous year (P = 0.004), receiving the Disability Support Pension (P = 0.015), not having a discharge plan sent to the patient's GP on discharge from the index admission (P = 0.05), receiving follow-up by the mental health team within 7 days of discharge (P = 0.007) and being unemployed (P = 0.015).
CONCLUSIONS: Targeting those with previous admissions for focussed discharge planning may help organisations reduce the numbers of unnecessary early readmissions.

Entities:  

Mesh:

Year:  2010        PMID: 20797358     DOI: 10.1071/AH08721

Source DB:  PubMed          Journal:  Aust Health Rev        ISSN: 0156-5788            Impact factor:   1.990


  7 in total

1.  Impact of length of stay for first psychiatric admissions on the ratio of readmissions in subsequent years in a large Brazilian catchment area.

Authors:  Regis Eric Maia Barros; João Mazzoncini de Azevedo Marques; Jair Lício Ferreira Santos; Antonio Waldo Zuardi; Cristina Marta Del-Ben
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2016-01-22       Impact factor: 4.328

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

Authors:  Fatema Mustansir Dawoodbhoy; Jack Delaney; Paulina Cecula; Jiakun Yu; Iain Peacock; Joseph Tan; Benita Cox
Journal:  Heliyon       Date:  2021-05-12

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

Authors:  Kyu-Tae Han; Seo Yoon Lee; Sun Jung Kim; Myung-Il Hahm; Sung-In Jang; Seung Ju Kim; Woorim Kim; Eun-Cheol Park
Journal:  BMC Psychiatry       Date:  2016-04-08       Impact factor: 3.630

4.  Predictors of psychiatric rehospitalization among elderly patients.

Authors:  Chun Yin Terry Wong
Journal:  F1000Res       Date:  2015-09-30

Review 5.  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
Journal:  BMC Psychiatry       Date:  2016-12-16       Impact factor: 3.630

Review 6.  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
Journal:  BMC Psychiatry       Date:  2017-06-24       Impact factor: 3.630

7.  Measurement of unnecessary psychiatric readmissions in the context of care transition interventions: a scoping review.

Authors:  Bo Kim; Christopher Weatherly; Courtney Benjamin Wolk; Enola K Proctor
Journal:  BMJ Open       Date:  2021-02-08       Impact factor: 2.692

  7 in total

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