1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Can additional funding improve mental health outcomes? Evidence from a synthetic control analysis of California’s millionaire tax

      research-article
      * ,
      PLoS ONE
      Public Library of Science

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          California is the only one of its peers with a state-wide tax earmarked for mental health programs. The voter-approved levy applies to personal income above $1 million and has generated over $20 billion since 2005. But whether the additional funding improved population mental health remains unknown. This study applies the synthetic control method to the CDC’s National Vital Statistics System data to determine how the tax affected suicide deaths in California. Findings show that the state’s suicide mortality rate increased more gradually after the tax’s implementation than it would have otherwise. By 2019, the cumulative impact was approximately 5,500 avoided deaths. Multiple robustness and sensitivity checks confirm that result. However, the effect did not appear immediately, nor was it present within all demographic groups. Nevertheless, additional revenue was associated with improved mental health in California. Other governments may likewise yield beneficial outcomes.

          Related collections

          Most cited references51

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Interrupted time series regression for the evaluation of public health interventions: a tutorial

          Abstract Interrupted time series (ITS) analysis is a valuable study design for evaluating the effectiveness of population-level health interventions that have been implemented at a clearly defined point in time. It is increasingly being used to evaluate the effectiveness of interventions ranging from clinical therapy to national public health legislation. Whereas the design shares many properties of regression-based approaches in other epidemiological studies, there are a range of unique features of time series data that require additional methodological considerations. In this tutorial we use a worked example to demonstrate a robust approach to ITS analysis using segmented regression. We begin by describing the design and considering when ITS is an appropriate design choice. We then discuss the essential, yet often omitted, step of proposing the impact model a priori. Subsequently, we demonstrate the approach to statistical analysis including the main segmented regression model. Finally we describe the main methodological issues associated with ITS analysis: over-dispersion of time series data, autocorrelation, adjusting for seasonal trends and controlling for time-varying confounders, and we also outline some of the more complex design adaptations that can be used to strengthen the basic ITS design.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The epidemiology of depression across cultures.

            Epidemiological data are reviewed on the prevalence, course, socio-demographic correlates, and societal costs of major depression throughout the world. Major depression is estimated in these surveys to be a commonly occurring disorder. Although estimates of lifetime prevalence and course vary substantially across countries for reasons that could involve both substantive and methodological processes, the cross-national data are clear in documenting meaningful lifetime prevalence with wide variation in age-of-onset and high risk of lifelong chronic-recurrent persistence. A number of sociodemographic correlates of major depression are found consistently across countries, and cross-national data also document associations with numerous adverse outcomes, including difficulties in role transitions (e.g., low education, high teen childbearing, marital disruption, unstable employment), reduced role functioning (e.g., low marital quality, low work performance, low earnings), elevated risk of onset, persistence and severity of a wide range of secondary disorders, and increased risk of early mortality due to physical disorders and suicide.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              What is the impact of mental health-related stigma on help-seeking? A systematic review of quantitative and qualitative studies

              Psychological Medicine, 45(1), 11-27
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                27 July 2022
                2022
                : 17
                : 7
                : e0271063
                Affiliations
                [001] Price School of Public Policy, University of Southern California, Los Angeles, California, United States of America
                Centers for Disease Control and Prevention, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-8266-9917
                Article
                PONE-D-21-38742
                10.1371/journal.pone.0271063
                9328510
                35895624
                edf197e4-299d-493e-825b-540d4a060b3e
                © 2022 Michael Thom

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 December 2021
                : 22 June 2022
                Page count
                Figures: 6, Tables: 3, Pages: 17
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                People and places
                Geographical locations
                North America
                United States
                California
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Suicide
                Social Sciences
                Political Science
                Public Policy
                Taxes
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mental Health Therapies
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Science Policy
                Research Funding
                Government Funding of Science
                Custom metadata
                All the data used in this study are publicly available. The Center for Disease Control and Prevention's National Vital Statistics System mortality data is held in a public repository at https://www.cdc.gov/nchs/nvss/deaths.htm.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article