Who Would Pay Higher Taxes for Better Mental Health? Results of a Large‐Sample National Choice Experiment.

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Title: Who Would Pay Higher Taxes for Better Mental Health? Results of a Large‐Sample National Choice Experiment.
Authors: JOHNSON, F. REED, GONZALEZ, JUAN MARCOS, YANG, JUI‐CHEN, OZDEMIR, SEMRA, KYMES, STEVEN
Source: Milbank Quarterly. Sep2021, Vol. 99 Issue 3, p771-793. 23p. 1 Diagram, 4 Charts, 1 Graph.
Subjects: Mental illness treatment, Public opinion, Taxation, Confidence intervals, Social values, Internet, Mental health, Public health, Interviewing, Conceptual structures, Surveys, Community-based social services, Decision making, Descriptive statistics, Economic aspects of diseases, Budget, Statistical sampling, Cluster analysis (Statistics), Psychotherapy
Geographic Terms: United States
Abstract: Policy Points Public funding for mental health programs must compete with other funding priorities in limited state budgets. Valuing state‐funded mental health programs in a policy‐relevant context requires consideration of how much benefit from other programs the public is willing to forgo to increase mental health program benefits and how much the public is willing to be taxed for such program benefits. Taxpayer resistance to increased taxes to pay for publicly funded mental health programs and perceived benefits of such programs vary with state population size. In all states, taxpayers seem to support increased public funding for mental health programs such as state Medicaid services, suggesting such programs are underfunded from the perspective of the average taxpayer. Context: The direct and indirect impacts of serious mental illness (SMI) on health care systems and communities represents a significant burden. However, the value that community members place on alleviating this burden is not known, and SMI treatment must compete with a long list of other publicly funded priorities. This study defines the value of public mental health interventions as what the public would accept, either in the form of higher taxes or in reductions in nonhealth programs, in return for increases in the number of mental health program beneficiaries. Methods: We developed and fielded a best‐practice discrete‐choice experiment survey to quantify respondents' willingness to be taxed for increased spending among several competing programs, including a program for treating severe mental health conditions. A realistic decision frame was used to elicit respondents' willingness to support expanded state budgets for mental health programs if that expansion required either cuts in the competing publicly financed programs or tax increases. The survey was administered to a general population national sample of 10,000 respondents. Findings: Nearly half the respondents in our sample either chose "no budget increase" for all budget scenarios or had preferences that were too disordered to estimate trade‐off values. Including zero values for those respondents, we found that the mean (median) amount that all respondents were willing to be taxed annually for public mental health programs ranged between $156 ($99) per year for large‐population states and $343 ($181) per year for small‐population states. Respondents would accept reductions of between 1.6 and 3.4 beneficiaries in other programs in return for 1 additional mental health program beneficiary. Conclusions: Our results are consistent with findings that a substantial portion of the US public is unwilling to pay higher taxes. Nevertheless, even including the substantial number of respondents who opposed any tax increase, the willingness of both the mean and median respondent to be taxed for mental health program expansions implies that programs providing mental health services such as state Medicaid are underfunded. [ABSTRACT FROM AUTHOR]
Copyright of Milbank Quarterly is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Who Would Pay Higher Taxes for Better Mental Health? Results of a Large‐Sample National Choice Experiment.
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  Data: <searchLink fieldCode="AR" term="%22JOHNSON%2C+F%2E+REED%22">JOHNSON, F. REED</searchLink><br /><searchLink fieldCode="AR" term="%22GONZALEZ%2C+JUAN+MARCOS%22">GONZALEZ, JUAN MARCOS</searchLink><br /><searchLink fieldCode="AR" term="%22YANG%2C+JUI‐CHEN%22">YANG, JUI‐CHEN</searchLink><br /><searchLink fieldCode="AR" term="%22OZDEMIR%2C+SEMRA%22">OZDEMIR, SEMRA</searchLink><br /><searchLink fieldCode="AR" term="%22KYMES%2C+STEVEN%22">KYMES, STEVEN</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Milbank+Quarterly%22">Milbank Quarterly</searchLink>. Sep2021, Vol. 99 Issue 3, p771-793. 23p. 1 Diagram, 4 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Mental+illness+treatment%22">Mental illness treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Public+opinion%22">Public opinion</searchLink><br /><searchLink fieldCode="DE" term="%22Taxation%22">Taxation</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Social+values%22">Social values</searchLink><br /><searchLink fieldCode="DE" term="%22Internet%22">Internet</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health%22">Mental health</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink><br /><searchLink fieldCode="DE" term="%22Interviewing%22">Interviewing</searchLink><br /><searchLink fieldCode="DE" term="%22Conceptual+structures%22">Conceptual structures</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Community-based+social+services%22">Community-based social services</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+aspects+of+diseases%22">Economic aspects of diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Budget%22">Budget</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+analysis+%28Statistics%29%22">Cluster analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Psychotherapy%22">Psychotherapy</searchLink>
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  Data: Policy Points Public funding for mental health programs must compete with other funding priorities in limited state budgets. Valuing state‐funded mental health programs in a policy‐relevant context requires consideration of how much benefit from other programs the public is willing to forgo to increase mental health program benefits and how much the public is willing to be taxed for such program benefits. Taxpayer resistance to increased taxes to pay for publicly funded mental health programs and perceived benefits of such programs vary with state population size. In all states, taxpayers seem to support increased public funding for mental health programs such as state Medicaid services, suggesting such programs are underfunded from the perspective of the average taxpayer. Context: The direct and indirect impacts of serious mental illness (SMI) on health care systems and communities represents a significant burden. However, the value that community members place on alleviating this burden is not known, and SMI treatment must compete with a long list of other publicly funded priorities. This study defines the value of public mental health interventions as what the public would accept, either in the form of higher taxes or in reductions in nonhealth programs, in return for increases in the number of mental health program beneficiaries. Methods: We developed and fielded a best‐practice discrete‐choice experiment survey to quantify respondents' willingness to be taxed for increased spending among several competing programs, including a program for treating severe mental health conditions. A realistic decision frame was used to elicit respondents' willingness to support expanded state budgets for mental health programs if that expansion required either cuts in the competing publicly financed programs or tax increases. The survey was administered to a general population national sample of 10,000 respondents. Findings: Nearly half the respondents in our sample either chose "no budget increase" for all budget scenarios or had preferences that were too disordered to estimate trade‐off values. Including zero values for those respondents, we found that the mean (median) amount that all respondents were willing to be taxed annually for public mental health programs ranged between $156 ($99) per year for large‐population states and $343 ($181) per year for small‐population states. Respondents would accept reductions of between 1.6 and 3.4 beneficiaries in other programs in return for 1 additional mental health program beneficiary. Conclusions: Our results are consistent with findings that a substantial portion of the US public is unwilling to pay higher taxes. Nevertheless, even including the substantial number of respondents who opposed any tax increase, the willingness of both the mean and median respondent to be taxed for mental health program expansions implies that programs providing mental health services such as state Medicaid are underfunded. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Milbank Quarterly is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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    Identifiers:
      – Type: doi
        Value: 10.1111/1468-0009.12523
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 771
    Subjects:
      – SubjectFull: Mental illness treatment
        Type: general
      – SubjectFull: Public opinion
        Type: general
      – SubjectFull: Taxation
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Social values
        Type: general
      – SubjectFull: Internet
        Type: general
      – SubjectFull: Mental health
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      – SubjectFull: Public health
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      – SubjectFull: Interviewing
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      – SubjectFull: Conceptual structures
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      – SubjectFull: Surveys
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      – SubjectFull: Community-based social services
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Descriptive statistics
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      – SubjectFull: Economic aspects of diseases
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      – SubjectFull: Budget
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      – SubjectFull: Cluster analysis (Statistics)
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      – SubjectFull: Psychotherapy
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      – SubjectFull: United States
        Type: general
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      – TitleFull: Who Would Pay Higher Taxes for Better Mental Health? Results of a Large‐Sample National Choice Experiment.
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              M: 09
              Text: Sep2021
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              Y: 2021
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