The excess economic burden of mental disorders: findings from a cross-sectional prevalence survey in Austria

Abstract

AbstractInformation about the scope of mental disorders (MDs), resource use patterns in health and social care sectors and economic cost is crucial for adequate mental healthcare planning. This study provides the first representative estimates about the overall utilisation of resources by people with MDs and the excess healthcare and productivity loss costs associated with MDs in Austria. Data were collected in a cross-sectional survey conducted on a representative sample (n = 1008) between June 2015 and June 2016. Information on mental health diagnoses, 12-month health and social care use, medication use, comorbidities, informal care, early retirement, sick leave and unemployment was collected via face-to-face interviews. Generalised linear model was used to assess the excess cost of MDs. The healthcare cost was 37% higher (p = 0.06) and the total cost was twice as high (p < 0.001) for the respondents with MDs compared to those without MDs. Lost productivity cost was over 2.5-times higher (p < 0.001) for those with MDs. Participants with severe MDs had over 2.5-times higher health and social care cost (p < 0.001) and 9-times higher mental health services cost (p < 0.001), compared to those with non-severe MDs. The presence of two or more physical comorbidities was a statistically significant determinant of the total cost. Findings suggest that the overall excess economic burden on health and social care depends on the severity of MDs and the number of comorbidities. Both non-severe and severe MDs contribute to substantially higher loss productivity costs compared to no MDs. Future resource allocation and service planning should take this into consideration.