TY - JOUR
T1 - Implicitly Estimating the Cost of Mental Illness in Australia
T2 - A Standard-of-Living Approach
AU - Nghiem, Son
AU - Khanam, Rasheda
AU - Vu, Xuan Binh
AU - Tran, Bach Xuan
N1 - Funding Information:
We are grateful to three anonymous referees, two guest editors and the editor of this journal for their feedback, which has improved the paper. This paper uses unit record data from The Household, Income and Labour Dynamics in Australia (HILDA) Survey, which is conducted in partnership between the Department of Social Services (DSS) and the Melbourne Institute. Appropriate ethical approval was gained during the study. The findings and views reported in this paper are those of the authors and should not be attributed to the DSS or the Melbourne Institute.
Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Background: Estimating the costs of mental illness provides useful policy and managerial information to improve the quality of life of people living with a mental illness and their families. Objective: This paper estimates the costs of mental health in Australia using the standard-of-living approach. Methods: The cost of mental illness was estimated implicitly using a standard-of-living approach. We analysed data from 16 waves of the Household, Income and Labour Dynamics in Australia Survey (HILDA) using 209,871 observations. Unobserved heterogeneity was mitigated using an extended random-effects estimator. Results: The equivalised disposable income of people with mental illness, measured by a self-reported mental health condition, needs to be 50% higher to achieve a similar living standard to those without a mental illness. The cost estimates vary considerably with measures of mental illness and standard of living. An alternative measure of mental illness using the first quintile of the SF-36 mental health score distribution resulted in an increase of estimated costs to 80% equivalised disposable income. Conclusion: People with mental illness need to increase equivalised disposable income, which includes existing financial supports, by 50–80% to achieve a similar level of financial satisfaction to those without a mental illness. The cost estimate can be substantially higher if the overall life satisfaction is used to proxy for standard of living.
AB - Background: Estimating the costs of mental illness provides useful policy and managerial information to improve the quality of life of people living with a mental illness and their families. Objective: This paper estimates the costs of mental health in Australia using the standard-of-living approach. Methods: The cost of mental illness was estimated implicitly using a standard-of-living approach. We analysed data from 16 waves of the Household, Income and Labour Dynamics in Australia Survey (HILDA) using 209,871 observations. Unobserved heterogeneity was mitigated using an extended random-effects estimator. Results: The equivalised disposable income of people with mental illness, measured by a self-reported mental health condition, needs to be 50% higher to achieve a similar living standard to those without a mental illness. The cost estimates vary considerably with measures of mental illness and standard of living. An alternative measure of mental illness using the first quintile of the SF-36 mental health score distribution resulted in an increase of estimated costs to 80% equivalised disposable income. Conclusion: People with mental illness need to increase equivalised disposable income, which includes existing financial supports, by 50–80% to achieve a similar level of financial satisfaction to those without a mental illness. The cost estimate can be substantially higher if the overall life satisfaction is used to proxy for standard of living.
UR - http://www.scopus.com/inward/record.url?scp=85076461578&partnerID=8YFLogxK
U2 - 10.1007/s40258-019-00526-y
DO - 10.1007/s40258-019-00526-y
M3 - Article
C2 - 31625132
AN - SCOPUS:85076461578
SN - 1175-5652
VL - 18
SP - 261
EP - 270
JO - Applied Health Economics and Health Policy
JF - Applied Health Economics and Health Policy
IS - 2
ER -