Health state utility values of high prevalence mental disorders in Australia: results from the National Survey of Mental Health and Wellbeing

2018 ◽  
Vol 27 (7) ◽  
pp. 1815-1825 ◽  
Author(s):  
Cathrine Mihalopoulos ◽  
Lidia Engel ◽  
Long Khanh-Dao Le ◽  
Anne Magnus ◽  
Meredith Harris ◽  
...  
2017 ◽  
Vol 51 (12) ◽  
pp. 1198-1211 ◽  
Author(s):  
Yu-Chen Lee ◽  
Mary Lou Chatterton ◽  
Anne Magnus ◽  
Mohammadreza Mohebbi ◽  
Long Khanh-Dao Le ◽  
...  

Objective: The aim of this project was to detail the costs associated with the high prevalence mental disorders (depression, anxiety-related and substance use) in Australia, using community-based, nationally representative survey data. Methods: Respondents diagnosed, within the preceding 12 months, with high prevalence mental disorders using the Confidentialised Unit Record Files of the 2007 National Survey of Mental Health and Wellbeing were analysed. The use of healthcare resources (hospitalisations, consultations and medications), productivity loss, income tax loss and welfare benefits were estimated. Unit costs of healthcare services were obtained from the Independent Hospital Pricing Authority, Medicare and Pharmaceutical Benefits Scheme. Labour participation rates and unemployment rates were determined from the National Survey of Mental Health and Wellbeing. Daily wage rates adjusted by age and sex were obtained from Australian Bureau of Statistics and used to estimate productivity losses. Income tax loss was estimated based on the Australian Taxation Office rates. The average cost of commonly received Government welfare benefits adjusted by age was used to estimate welfare payments. All estimates were expressed in 2013–2014 AUD and presented from multiple perspectives including public sector, individuals, private insurers, health sector and societal. Results: The average annual treatment cost for people seeking treatment was AUD660 (public), AUD195 (individual), AUD1058 (private) and AUD845 from the health sector’s perspective. The total annual healthcare cost was estimated at AUD974m, consisting of AUD700m to the public sector, AUD168m to individuals, and AUD107m to the private sector. The total annual productivity loss attributed to the population with high prevalence mental disorders was estimated at AUD11.8b, coupled with the yearly income tax loss at AUD1.23b and welfare payments at AUD12.9b. Conclusion: The population with high prevalence mental disorders not only incurs substantial cost to the Australian healthcare system but also large economic losses to society.


Author(s):  
Ryan O’Reilly ◽  
Sayako Yokoyama ◽  
Justin Boyle ◽  
Jeffrey C. Kwong ◽  
Allison McGeer ◽  
...  

2015 ◽  
Vol 18 (7) ◽  
pp. A468 ◽  
Author(s):  
AO Ashaye ◽  
A Altincatal ◽  
RH Bender ◽  
J Zhang ◽  
S Panjabi

2016 ◽  
Vol 23 (8) ◽  
pp. 1157-1166 ◽  
Author(s):  
Hasnat Ahmad ◽  
Bruce V Taylor ◽  
Ingrid van der Mei ◽  
Sam Colman ◽  
Beth A O’Leary ◽  
...  

Background: The measurement of health state utility values (HSUVs) for a representative sample of Australian people with multiple sclerosis (MS) has not previously been performed. Objectives: Our main aim was to quantify the HSUVs for different levels of disease severities in Australian people with MS. Method: HSUVs were calculated by employing a ‘judgement-based’ method that essentially creates EQ-5D-3L profiles based on WHOQOL-100 responses and then applying utility weights to each level in each dimension. A stepwise linear regression was used to evaluate the relationship between HSUVs and disease severity, classified as mild (Expanded Disability Status Scale (EDSS) levels: 0–3.5), moderate (EDSS levels: 4–6) and severe (EDSS levels: 6.5–9.5). Results: Mean HSUV for all people with MS was 0.53 (95% confidence interval (CI): 0.52–0.54). Utility decreased with increasing disease severity: 0.61 (95% CI: 0.60–0.62), 0.51 (95% CI: 0.50–0.52) and 0.40 (95% CI: 0.38–0.43) for mild, moderate and severe disease, respectively. Adjusted differences in mean HSUV between the three severity groups were statistically significant. Conclusion: For the first time in Australia, we have quantified the impact of increasing severity of MS on health utility of people with MS. The HSUVs we have generated will be useful in further health economic analyses of interventions that slow progression of MS.


2010 ◽  
Vol 10 (5) ◽  
pp. 553-566 ◽  
Author(s):  
Tessa Peasgood ◽  
Sue E Ward ◽  
John Brazier

2016 ◽  
Vol 19 (7) ◽  
pp. A875
Author(s):  
H Ahmad ◽  
I van der Mei ◽  
B Taylor ◽  
AJ Palmer

2014 ◽  
Vol 17 (7) ◽  
pp. A730-A731
Author(s):  
S. Baxter ◽  
K. Sanderson ◽  
A. Venn ◽  
P. Otahal ◽  
A.J. Palmer

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