Add wos sample results library
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abstract: 'Background: Mental illness is the prime reason for the inflow into
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disability insurance in many countries. The integration of persons with
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a disability into the regular labor market is costly and in the case of
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mentally ill persons, particularly difficult. Supported Education and
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Employment - a rehabilitation method that directly places patients in a
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realistic work environment - has been shown to be effective in
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increasing competitive employment. However, it has not yet been widely
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implemented.
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Aims of the Study: We evaluate ex-ante the willingness to participate in
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Supported Education and Employment and the barriers to do so from the
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employer''s perspective.
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Methods: We conducted a discrete choice experiment implemented in an
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online survey. The survey was carried out among all Swiss companies
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which provide standard dual-track vocational education and training for
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commercial occupations in Eastern Switzerland. We presented respondents
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(employees who are responsible for vocational training and/or for the
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selection of applicants) with a sample of five hypothetical profiles.
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These profiles vary along different medical diagnoses, different illness
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related (dys-)functions, and other characteristics that may be
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associated with a company''s willingness to accept the candidate (such as
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school performance, motivation, and illness related absences).
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Respondents were asked whether or not they would train this person.
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Results: 22\% of the profiles are accepted. However, our results
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demonstrate that the hypothetical bias - which is the difference between
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individual saying what they would do in a hypothetical setting and what
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they will do when they have the opportunity - is severe. Correcting for
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this bias using follow-up scales ({''''}Are you sure?{''''}) reduces the
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overall acceptance in our sample to 9\%. Keeping in mind the response
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rate to our survey of 35\%, overall acceptance may be as low as 3\%.
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Non-cognitive dysfunctions (e.g. non-adherence to regulations,
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difficulties with contacts with others) that are related to mental
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disorders, are the main deterrents. Patients with psychotic disorders
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are particularly disadvantaged.
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Implications for Health Policy: Although there are no direct costs to
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the employer, a wide introduction of Supported Vocational Education and
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Training is likely to fail at the current stage with the unwillingness
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of companies to train people with special needs. There may be additional
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incentives needed, for example in form of subsidies or legal
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requirements. Even though our experiment has been tailored to the Swiss
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system, our results may also be relevant in other countries with similar
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dual-track education systems.'
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affiliation: 'Deuchert, E (Corresponding Author), Univ St Gallen, Ctr Disabil \& Integrat,
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Rosenbergstr 51, CH-9000 St Gallen, Switzerland.
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Deuchert, Eva; Kauer, Lukas, Univ St Gallen, Ctr Disabil \& Integrat, Dept Econ,
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CH-9000 St Gallen, Switzerland.
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Zannol, Flurina Meisen, Univ Appl Sci St Gallen, Dept Social Work, Rorschach, Switzerland.'
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author: Deuchert, Eva and Kauer, Lukas and Zannol, Flurina Meisen
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author-email: eva.deuchert@unisg.ch
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author_list:
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- family: Deuchert
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given: Eva
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- family: Kauer
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given: Lukas
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- family: Zannol
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given: Flurina Meisen
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da: '2023-09-28'
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files: []
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issn: 1091-4358
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journal: JOURNAL OF MENTAL HEALTH POLICY AND ECONOMICS
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keywords-plus: 'WILLINGNESS-TO-PAY; LABOR-MARKET OUTCOMES; NONCOGNITIVE SKILLS;
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HYPOTHETICAL BIAS; DISABILITY STATUS; EMPLOYERS; HEALTH; WORK;
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REHABILITATION; EMPLOYMENT'
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language: English
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month: JUN
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number: '2'
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number-of-cited-references: '44'
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orcid-numbers: Kauer, Lukas/0000-0003-1754-6942
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pages: 67-80
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papis_id: 4da76490afe9144299119a7f43c79ed0
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ref: Deuchert2013wouldyou
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researcherid-numbers: 'Deuchert, Eva/IXD-1412-2023
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'
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times-cited: '7'
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title: Would You Train Me with My Mental Illness? Evidence from a Discrete Choice
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Experiment
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type: Article
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unique-id: WOS:000321080200003
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usage-count-last-180-days: '0'
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usage-count-since-2013: '27'
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volume: '16'
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web-of-science-categories: Health Policy \& Services; Psychiatry
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year: '2013'
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