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The economic impact of initiatives to reduce stigma: demonstration of a modelling approach

Published online by Cambridge University Press:  11 April 2011

Paul McCrone ,
Martin Knapp ,
Mary Henri  and
David McDaid
Paul McCrone*
Affiliation:
Centre for the Economics of Mental Health, Health Service and Population Research Department, Institute of Psychiatry, King's College London, London (United Kingdom)
Martin Knapp
Affiliation:
Centre for the Economics of Mental Health, Health Service and Population Research Department, Institute of Psychiatry, King's College London, London (United Kingdom) Personal Social Service Research Unit, London School of Economics and Political Science, London (United Kingdom)
Mary Henri
Affiliation:
Personal Social Service Research Unit, London School of Economics and Political Science, London (United Kingdom)
David McDaid
Affiliation:
Personal Social Service Research Unit, London School of Economics and Political Science, London (United Kingdom) European Observatory on Health Systems and Policies, London School of Economics and Political Science, London (United Kingdom)
*
Address for correspondence: Dr. P. McCrone, P024 Health Service and Population Research Department, Institute of Psychiatry, De Crespigny Park, London SE5 8AF (United Kingdom). Fax: +44 20 7848 0458 E-mail: paul.mccrone@kcl.ac.uk
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Summary

Aims – This paper seeks to provide a methodology to assess the cost-effectiveness of anti-stigma campaigns for people with mental health problems. Methods – The costs of running a national campaign in Scotland were obtained and combined with the number of adults in the Scottish population and the estimated number of people with improved attitudes towards people with mental health problems. A decision model was constructed to estimate the economic impact of a campaign in terms of increased use of services by people with depression and increased work time. Results – If the campaign caused 10% of changed attitudes then it was estimated to cost £35 per one less person who felt that people with mental health problems were dangerous and £186 per one less person who felt the public needs protection from people with mental health problems. The decision model suggested extra economic benefits (employment gains minus service costs) as a result of an anti-stigma campaign compared to the absence of a campaign. Conclusions – Data on the economic impact of anti-stigma campaigns are scarce and evaluation is intrinsically difficult. We have demonstrated a method to conduct such analyses. The model proposed here should be tested further as data become available.

Keywords

economicsdepressioncosts and cost analysisprejudice
Type
Original Articles
Information
Epidemiology and Psychiatric Sciences , Volume 19 , Issue 2 , June 2010 , pp. 131 - 139
Copyright
Copyright © Cambridge University Press 2010

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