| Title |
Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia
|
|---|---|
| Published in |
BMC Emergency Medicine, July 2015
|
| DOI | 10.1186/s12873-015-0042-5 |
| Pubmed ID | |
| Authors |
Niranjan Bidargaddi, Tarun Bastiampillai, Geoffrey Schrader, Robert Adams, Cynthia Piantadosi, Jörg Strobel, Graeme Tucker, Stephen Allison |
| Abstract |
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. 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. 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. 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 16% |
| Student > Doctoral Student | 3 | 12% |
| Student > Postgraduate | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 28% |
| Psychology | 5 | 20% |
| Environmental Science | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 8 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 August 2015.
All research outputs
#16,666,148
of 24,520,187 outputs
Outputs from BMC Emergency Medicine
#549
of 823 outputs
Outputs of similar age
#158,815
of 268,263 outputs
Outputs of similar age from BMC Emergency Medicine
#8
of 12 outputs
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