The economic burden of mental disorders: results from the Netherlands mental health survey and incidence study-2

OBJECTIVE

Currently, there is a paucity of up-to-date estimates of the economic burden caused by mental disorders. Such information could provide vital insight into one of the most serious and costly-yet to some extent preventable-health challenges facing the world today.

METHOD

Data from a national psychiatric-epidemiological cohort study (NEMESIS-2, N = 6506) were used to provide reliable, relevant, and up-to-date cost estimates (in 2019 Euro) regarding healthcare costs, productivity losses, and patient and family costs associated with DSM-IV mental disorders both at individual level, but also in the general population and in the workforce of the Netherlands (per 1 million population).

RESULTS

In the general population, the costs of mood disorders, specifically depression, are substantial and rank above those from the anxiety disorders, whilst costs of anxiety disorders are more substantial than those stemming from substance use disorders, even when the per-person costs of drug abuse appear highest of all. In the workforce, specific and social phobias are leading causes of excess costs. The workforce has lower healthcare costs but higher productivity costs than general population.

DISCUSSION

The findings suggest that (preventive) healthcare interventions targeting the workforce are likely to become cost-effective and underscore the importance for employers to create healthy work environments. Overall, the results highlight the need to strengthen the role of mental health promotion and prevention of mental disorders in the social domain before people require treatment to reduce the staggering and costly burden caused by mental disorders to individuals and society.

Social cost-benefit analysis of regulatory policies to reduce alcohol use in The Netherlands

Background

If all costs and all benefits of alcohol use are expressed in monetary terms, the net costs were 2,3 to 4,2 billion euro in 2013. Examples of the costs of alcohol are less productivity at work, costs of police and justice and traffic accidents.

Methods

In this study three regulatory policies have been modelled using the Social Cost-Benefit Analysis (SCBA) approach. Regulatory policies aimed at curbing alcohol consumption were (1) an increase in excise taxes, (2) a reduction of the number of sales venues, and (3) a total mediaban for advertising alcohol.

Results

In the long run, over a period of 50 years, an increase in excise taxes of 50% will result in societal benefits of 4.5 to 10.7 billion euro, an increase of excise taxes of 200% will result in societal benefits of 12.2 to 35.8 billion euro. The societal benefits of closure of 10% of sales venues are estimated at 1.8 to 4.3 billion euro after 50 years, and at 4.6 to 10.7 billion euro when 25% of sales venues would be closed. The societal benefits of a mediaban would amount to 3.5 to 7.8 billion euro after 50 years, but this estimate is surrounded by uncertainty.

Conclusions

Regulatory policies aimed at reducing the amount of alcohol consumed, such as a further increase of excise taxes, a reduction of the number of sales venues and a total mediaban, will result in savings for society at large. However, costs and benefits are spread unequally over the different stakeholders.

[Prognostic modelling and proactive intervention in psychosis: efficacy and cost-effectiveness]

Diagnoses have heterogeneous outcomes, varying from good to extremely poor. There is a need to single out an ultra-high-risk group of individuals who have illnesses that might well end unfavourably or who might later develop serious psychopathology.<br/> AIM: To devise a screening instrument that can identify a group of individuals who run a very high risk of developing a first-episode psychosis, and to create a type of intervention that can modify the course of the illness.<br/> METHOD: We developed a short screening instrument (PQ-16) and were able to ascertain its predictive value. We also tested an intervention that could influence risk factors and deal with emerging symptoms thereby achieving a better outcome for the patient.<br/> RESULTS: We developed a two-step detection instrument with a positive predictive value of 44%. The intervention, involving cognitive behavioural therapy for ultra-high-risk patients, was effective and led to a risk reduction of about 50%. Using the ultra-high-risk group of patients, we were able to model three prognostic profiles, each carrying a 4%, 13%, and 70% risk of subsequently developing psychosis. The intervention was cost-effective, reducing the financial burden on the health care services and on society as a whole.<br/> CONCLUSION: Prognostic modelling and proactive intervention can achieve improvements in health at lower costs.

[Online self-help for persons with suicidal intentions: budget impact analysis]

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[Cost-effectiveness of psychotherapy for personality disorders. A systematic review on economic evaluation studies]

So far, there has not been a complete overview of the cost-effectiveness of psychotherapy for patients with a personality disorder.<br/> AIM: To provide an overview of scientific literature on the cost-effectiveness of psychotherapy for patients with a personality disorder.<br/> METHOD: We reviewed the literature systematically, searching the NHS EED, PubMed and PsycINFO databases. We concentrated solely on full economic evaluations of treatments in which all patients had a personality disorder.<br/> RESULTS: Most studies concluded that at least one of the psychotherapeutic treatments investigated was cost-effective. Dialectical behavior therapy was studied the most; schema therapy came next, followed by cognitive behavioural therapy.<br/> CONCLUSION: In general, scientific evidence indicates that psychotherapeutic treatments for patients with personality disorders are cost-effective relative to the comparator treatments. This is important information because it can influence decisions on whether the costs of psychotherapy should be reimbursed.

[A study of cost-effectiveness of treating serious mental illness: challenges and solutions]

BACKGROUND People with serious mental illness (SMI) often suffer high healthcare costs and enduring loss of quality of life. Increasing our understanding of the cost-effectiveness of people with SMI is important when striving for optimal health at affordable costs. AIM To describe aspects that can be important for cost-effectiveness research targeting people with SMI. METHOD These aspects are demonstrated by considering pro-active care, rehabilitation and involuntary treatment RESULTS The possible involvement of a large number of stakeholders outside of healthcare requires cost-effectiveness research to also map the costs and benefits outside of healthcare, preferably for each stakeholder specifically. Availability of data, the possibility to combine datasets, and ways to deal with dropouts require extra attention. CONCLUSION Cost-effectiveness research targeting people with SMI could be enhanced when solutions are found for the availability of data inside and outside of healthcare and when dropout can be compensated for by other sources of data, such that costs and benefits for each stakeholder can be estimated more reliably.