TY - JOUR
T1 - Changes in monthly unemployment rates may predict changes in the number of psychiatric presentations to emergency services in South Australia
AU - Bidargaddi, Niranjan
AU - Bastiampillai, Tarun
AU - Schrader, Geoff
AU - Adams, Robert
AU - Piantadosi, Cynthia
AU - Strobel, Jorg
AU - Tucker, Graeme
AU - Allison, Robert
PY - 2015/7/24
Y1 - 2015/7/24
N2 - 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.
AB - 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.
KW - Mental health
KW - Times series modelling
UR - http://www.scopus.com/inward/record.url?scp=84937785249&partnerID=8YFLogxK
U2 - 10.1186/s12873-015-0042-5
DO - 10.1186/s12873-015-0042-5
M3 - Article
VL - 15
JO - BMC Emergency Medicine
JF - BMC Emergency Medicine
SN - 1471-227X
IS - 1
M1 - 16
ER -