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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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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. |
format | Online Article Text |
id | pubmed-4513749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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