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Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia

BACKGROUND: To determine the extent to which variations in monthly Mental Health Emergency Department (MHED) presentations in South Australian Public Hospitals are associated with the Australian Bureau of Statistics (ABS) monthly unemployment rates. METHODS: Times series modelling of relationships b...

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Autores principales: Bidargaddi, Niranjan, Bastiampillai, Tarun, Schrader, Geoffrey, Adams, Robert, Piantadosi, Cynthia, Strobel, Jörg, Tucker, Graeme, Allison, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513749/
https://www.ncbi.nlm.nih.gov/pubmed/26205556
http://dx.doi.org/10.1186/s12873-015-0042-5
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author Bidargaddi, Niranjan
Bastiampillai, Tarun
Schrader, Geoffrey
Adams, Robert
Piantadosi, Cynthia
Strobel, Jörg
Tucker, Graeme
Allison, Stephen
author_facet Bidargaddi, Niranjan
Bastiampillai, Tarun
Schrader, Geoffrey
Adams, Robert
Piantadosi, Cynthia
Strobel, Jörg
Tucker, Graeme
Allison, Stephen
author_sort Bidargaddi, Niranjan
collection PubMed
description BACKGROUND: To determine the extent to which variations in monthly Mental Health Emergency Department (MHED) presentations in South Australian Public Hospitals are associated with the Australian Bureau of Statistics (ABS) monthly unemployment rates. METHODS: Times series modelling of relationships between monthly MHED presentations to South Australian Public Hospitals derived from the Integrated South Australian Activity Collection (ISAAC) data base and the ABS monthly unemployment rates in South Australia between January 2004–June 2011. RESULTS: Time series modelling using monthly unemployment rates from ABS as a predictor variable explains 69 % of the variation in monthly MHED presentations across public hospitals in South Australia. Thirty-two percent of the variation in current month’s male MHED presentations can be predicted by using the 2 months’ prior male unemployment rate. Over 63 % of the variation in monthly female MHED presentations can be predicted by either male or female prior monthly unemployment rates. CONCLUSIONS: The findings of this study highlight that even with the relatively favourable economic conditions, small shifts in monthly unemployment rates can predict variations in monthly MHED presentations, particularly for women. Monthly ABS unemployment rates may be a useful metric for predicting demand for emergency mental health services.
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spelling pubmed-45137492015-07-25 Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia Bidargaddi, Niranjan Bastiampillai, Tarun Schrader, Geoffrey Adams, Robert Piantadosi, Cynthia Strobel, Jörg Tucker, Graeme Allison, Stephen BMC Emerg Med Research Article BACKGROUND: To determine the extent to which variations in monthly Mental Health Emergency Department (MHED) presentations in South Australian Public Hospitals are associated with the Australian Bureau of Statistics (ABS) monthly unemployment rates. METHODS: Times series modelling of relationships between monthly MHED presentations to South Australian Public Hospitals derived from the Integrated South Australian Activity Collection (ISAAC) data base and the ABS monthly unemployment rates in South Australia between January 2004–June 2011. RESULTS: Time series modelling using monthly unemployment rates from ABS as a predictor variable explains 69 % of the variation in monthly MHED presentations across public hospitals in South Australia. Thirty-two percent of the variation in current month’s male MHED presentations can be predicted by using the 2 months’ prior male unemployment rate. Over 63 % of the variation in monthly female MHED presentations can be predicted by either male or female prior monthly unemployment rates. CONCLUSIONS: The findings of this study highlight that even with the relatively favourable economic conditions, small shifts in monthly unemployment rates can predict variations in monthly MHED presentations, particularly for women. Monthly ABS unemployment rates may be a useful metric for predicting demand for emergency mental health services. BioMed Central 2015-07-24 /pmc/articles/PMC4513749/ /pubmed/26205556 http://dx.doi.org/10.1186/s12873-015-0042-5 Text en © Bidargaddi et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Bidargaddi, Niranjan
Bastiampillai, Tarun
Schrader, Geoffrey
Adams, Robert
Piantadosi, Cynthia
Strobel, Jörg
Tucker, Graeme
Allison, Stephen
Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia
title Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia
title_full Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia
title_fullStr Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia
title_full_unstemmed Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia
title_short Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia
title_sort changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in south australia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4513749/
https://www.ncbi.nlm.nih.gov/pubmed/26205556
http://dx.doi.org/10.1186/s12873-015-0042-5
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