A Mixed‐Methods Exploration of the Implementation of Policies That Earmarked Taxes for Behavioral Health.
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| Title: | A Mixed‐Methods Exploration of the Implementation of Policies That Earmarked Taxes for Behavioral Health. |
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| Authors: | STADNICK, NICOLE A., GEREMIA, CARRIE, MAURI, AMANDA I., SWANSON, KERA, WYNECOOP, MEGAN, PURTLE, JONATHAN |
| Source: | Milbank Quarterly. Dec2024, Vol. 102 Issue 4, p913-943. 31p. |
| Subjects: | Policy sciences, Mental health, Research funding, Interviewing, Decision making, Descriptive statistics, Judgment sampling, Economics, Taxation, Sound recordings, Research methodology, Research, Conceptual structures, Data analysis software, Evidence-based medicine |
| Geographic Terms: | Washington (State), California, Iowa, Colorado |
| Abstract: | Policy PointsEarmarked tax policies for behavioral health are perceived as having positive impacts related to increasing flexible funding, suggesting benefits to expand this financing approach.Implementation challenges related to these earmarked taxes included tax base volatility that impedes long‐term service delivery planning and inequities in the distribution of tax revenue.Recommendations for designing or revising earmarked tax policies include developing clear guidelines and support systems to manage the administrative aspects of earmarked tax programs, cocreating reporting and oversight structures with system and service delivery agents, and selecting revenue streams that are relatively stable across years. Context: Over 200 cities and counties in the United States have implemented policies earmarking tax revenue for behavioral health services. This mixed‐methods study was conducted with the aim of characterizing perceptions of the impacts of these earmarked tax policies, strengths and weaknesses of tax policy designs, and factors that influence decision making about how tax revenue is allocated for services. Methods: Study data came from surveys completed by 274 officials involved in behavioral health earmarked tax policy implementation and 37 interviews with officials in a sample of jurisdictions with these taxes—California (n = 16), Washington (n = 12), Colorado (n = 6), and Iowa (n = 3). Interviews primarily explored perceptions of the advantages and drawbacks of the earmarked tax, perceptions of tax policy design, and factors influencing decisions about revenue allocation. Findings: A total of 83% of respondents strongly agreed that it was better to have the tax than not, 73.2% strongly agreed that the tax increased flexibility to address complex behavioral health needs, and 65.1% strongly agreed that the tax increased the number of people served by evidence‐based practices. Only 43.3%, however, strongly agreed that it was easy to satisfy tax‐reporting requirements. Interviews revealed that the taxes enabled funding for services and implementation supports, such as training in the delivery of evidence‐based practices, and supplemented mainstream funding sources (e.g., Medicaid). However, some interviewees also reported challenges related to volatility of funding, inequities in the distribution of tax revenue, and, in some cases, administratively burdensome tax reporting. Decisions about tax revenue allocation were influenced by goals such as reducing behavioral health care inequities, being responsive to community needs, addressing constraints of mainstream funding sources, and, to a lesser degree, supporting services considered to be evidence based. Conclusions: Earmarked taxes are a promising financing strategy to improve access to, and quality of, behavioral health services by supplementing mainstream state and federal financing. [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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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 181730792 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Mixed‐Methods Exploration of the Implementation of Policies That Earmarked Taxes for Behavioral Health. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22STADNICK%2C+NICOLE+A%2E%22">STADNICK, NICOLE A.</searchLink><br /><searchLink fieldCode="AR" term="%22GEREMIA%2C+CARRIE%22">GEREMIA, CARRIE</searchLink><br /><searchLink fieldCode="AR" term="%22MAURI%2C+AMANDA+I%2E%22">MAURI, AMANDA I.</searchLink><br /><searchLink fieldCode="AR" term="%22SWANSON%2C+KERA%22">SWANSON, KERA</searchLink><br /><searchLink fieldCode="AR" term="%22WYNECOOP%2C+MEGAN%22">WYNECOOP, MEGAN</searchLink><br /><searchLink fieldCode="AR" term="%22PURTLE%2C+JONATHAN%22">PURTLE, JONATHAN</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Milbank+Quarterly%22">Milbank Quarterly</searchLink>. Dec2024, Vol. 102 Issue 4, p913-943. 31p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Policy+sciences%22">Policy sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health%22">Mental health</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Interviewing%22">Interviewing</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="%22Judgment+sampling%22">Judgment sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Economics%22">Economics</searchLink><br /><searchLink fieldCode="DE" term="%22Taxation%22">Taxation</searchLink><br /><searchLink fieldCode="DE" term="%22Sound+recordings%22">Sound recordings</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Conceptual+structures%22">Conceptual structures</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Evidence-based+medicine%22">Evidence-based medicine</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Washington+%28State%29%22">Washington (State)</searchLink><br /><searchLink fieldCode="DE" term="%22California%22">California</searchLink><br /><searchLink fieldCode="DE" term="%22Iowa%22">Iowa</searchLink><br /><searchLink fieldCode="DE" term="%22Colorado%22">Colorado</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Policy PointsEarmarked tax policies for behavioral health are perceived as having positive impacts related to increasing flexible funding, suggesting benefits to expand this financing approach.Implementation challenges related to these earmarked taxes included tax base volatility that impedes long‐term service delivery planning and inequities in the distribution of tax revenue.Recommendations for designing or revising earmarked tax policies include developing clear guidelines and support systems to manage the administrative aspects of earmarked tax programs, cocreating reporting and oversight structures with system and service delivery agents, and selecting revenue streams that are relatively stable across years. Context: Over 200 cities and counties in the United States have implemented policies earmarking tax revenue for behavioral health services. This mixed‐methods study was conducted with the aim of characterizing perceptions of the impacts of these earmarked tax policies, strengths and weaknesses of tax policy designs, and factors that influence decision making about how tax revenue is allocated for services. Methods: Study data came from surveys completed by 274 officials involved in behavioral health earmarked tax policy implementation and 37 interviews with officials in a sample of jurisdictions with these taxes—California (n = 16), Washington (n = 12), Colorado (n = 6), and Iowa (n = 3). Interviews primarily explored perceptions of the advantages and drawbacks of the earmarked tax, perceptions of tax policy design, and factors influencing decisions about revenue allocation. Findings: A total of 83% of respondents strongly agreed that it was better to have the tax than not, 73.2% strongly agreed that the tax increased flexibility to address complex behavioral health needs, and 65.1% strongly agreed that the tax increased the number of people served by evidence‐based practices. Only 43.3%, however, strongly agreed that it was easy to satisfy tax‐reporting requirements. Interviews revealed that the taxes enabled funding for services and implementation supports, such as training in the delivery of evidence‐based practices, and supplemented mainstream funding sources (e.g., Medicaid). However, some interviewees also reported challenges related to volatility of funding, inequities in the distribution of tax revenue, and, in some cases, administratively burdensome tax reporting. Decisions about tax revenue allocation were influenced by goals such as reducing behavioral health care inequities, being responsive to community needs, addressing constraints of mainstream funding sources, and, to a lesser degree, supporting services considered to be evidence based. Conclusions: Earmarked taxes are a promising financing strategy to improve access to, and quality of, behavioral health services by supplementing mainstream state and federal financing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab 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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/1468-0009.12715 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 913 Subjects: – SubjectFull: Policy sciences Type: general – SubjectFull: Mental health Type: general – SubjectFull: Research funding Type: general – SubjectFull: Interviewing Type: general – SubjectFull: Decision making Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Judgment sampling Type: general – SubjectFull: Economics Type: general – SubjectFull: Taxation Type: general – SubjectFull: Sound recordings Type: general – SubjectFull: Research methodology Type: general – SubjectFull: Research Type: general – SubjectFull: Conceptual structures Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Evidence-based medicine Type: general – SubjectFull: Washington (State) Type: general – SubjectFull: California Type: general – SubjectFull: Iowa Type: general – SubjectFull: Colorado Type: general Titles: – TitleFull: A Mixed‐Methods Exploration of the Implementation of Policies That Earmarked Taxes for Behavioral Health. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: STADNICK, NICOLE A. – PersonEntity: Name: NameFull: GEREMIA, CARRIE – PersonEntity: Name: NameFull: MAURI, AMANDA I. – PersonEntity: Name: NameFull: SWANSON, KERA – PersonEntity: Name: NameFull: WYNECOOP, MEGAN – PersonEntity: Name: NameFull: PURTLE, JONATHAN IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0887378X Numbering: – Type: volume Value: 102 – Type: issue Value: 4 Titles: – TitleFull: Milbank Quarterly Type: main |
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