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Journal Article
J Health Polit Policy Law (2008) 33 (3): 595–615.
Published: 01 June 2008
...Emily Lees; David Salvesen; Elizabeth Shay To contribute to the understanding of the links between urban planning and school siting and, ultimately, the impact of both on physical activity, we conducted a case study of Lee County, Florida. Our study examined the extent of state-mandated...
Journal Article
J Health Polit Policy Law (1980) 5 (1): 55–80.
Published: 01 February 1980
...Cyril Roseman Immediately following adoption of Proposition 13 in California in June of 1978, the state legislature adopted a Bail-Out program which included procedures for monitoring the detrimental effects of disproportionate reductions in public health, inpatient and outpatient county budgets...
Journal Article
J Health Polit Policy Law (2023) 48 (2): 187–214.
Published: 01 April 2023
... found to display inequality in access to basic services. This article builds on these findings by linking segregation to infection and deaths from COVID-19. Methods: Using census data matched to COVID infection and death statistics at the county level, this article offers a theoretical basis...
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in The Demise of Community Responsibility: Unintended Consequences of Coverage Expansions on California Public Hospitals
> Journal of Health Politics, Policy and Law
Published: 01 April 2019
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in The Demise of Community Responsibility: Unintended Consequences of Coverage Expansions on California Public Hospitals
> Journal of Health Politics, Policy and Law
Published: 01 April 2019
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in Disenrolled: Retrenchment and Voting in Health Policy
> Journal of Health Politics, Policy and Law
Published: 01 June 2019
Figure 2 County-level changes in gubernatorial turnout (2002–6) and TennCare enrollment (2004–6), weighted by population. Sources : Tennessee secretary of state, TennCare annual reports. Notes : Larger circles represent more populous counties. Moore County omitted for display purposes. Line
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in Disenrolled: Retrenchment and Voting in Health Policy
> Journal of Health Politics, Policy and Law
Published: 01 June 2019
Figure 3 County-level changes in gubernatorial Democratic two-party vote share (2002–6) and TennCare enrollment (2004–6), weighted by population. Sources : Tennessee secretary of state, TennCare annual reports. Notes : Larger circles represent more populous counties. Moore County omitted
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in The Trump Effect: Postinauguration Changes in Marketplace Enrollment
> Journal of Health Politics, Policy and Law
Published: 01 October 2019
Figure 3 Availability of complete unsuppressed county-level Marketplace enrollment data by week, 2016 and 2017 open enrollment periods. Source : Authors' analysis of Marketplace enrollment data from CMS FOIA.
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in Who Participated in the ACA? Gains in Insurance Coverage by Political Partisanship
> Journal of Health Politics, Policy and Law
Published: 01 June 2019
Figure 1 Gains in insurance and Democratic vote by county.
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in Who Participated in the ACA? Gains in Insurance Coverage by Political Partisanship
> Journal of Health Politics, Policy and Law
Published: 01 June 2019
Figure 2 The effect of Medicaid expansion on gains in insurance by county partisanship.
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in Accountable Care Organizations in California: Market Forces at Work?
> Journal of Health Politics, Policy and Law
Published: 01 August 2015
Figure 2 Number of ACOs by County
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in People, Places, Power: Medicaid Concentration and Local Political Participation
> Journal of Health Politics, Policy and Law
Published: 01 October 2017
Figure 6 Medicaid Density and County Voting Rates
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in Political Participation in the Least Healthy Place in America: Examining the Political Determinants of Health in the Mississippi Delta
> Journal of Health Politics, Policy and Law
Published: 01 June 2019
Figure 2 Counties of the Mississippi Delta.
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in The Demise of Community Responsibility: Unintended Consequences of Coverage Expansions on California Public Hospitals
> Journal of Health Politics, Policy and Law
Published: 01 April 2019
Figure 4 (a) Survival curves for counties with low, mean, and high fiscal capacity . (b) Difference in survival curves between counties with low and high fiscal capacity .
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in The Demise of Community Responsibility: Unintended Consequences of Coverage Expansions on California Public Hospitals
> Journal of Health Politics, Policy and Law
Published: 01 April 2019
Figure 4 (a) Survival curves for counties with low, mean, and high fiscal capacity . (b) Difference in survival curves between counties with low and high fiscal capacity .
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in The Demise of Community Responsibility: Unintended Consequences of Coverage Expansions on California Public Hospitals
> Journal of Health Politics, Policy and Law
Published: 01 April 2019
Figure 6 (a) Survival curves for counties with low, mean, and high cost of supply . (b) Difference in survival curves between counties with low and high cost of supply .
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in The Demise of Community Responsibility: Unintended Consequences of Coverage Expansions on California Public Hospitals
> Journal of Health Politics, Policy and Law
Published: 01 April 2019
Figure 6 (a) Survival curves for counties with low, mean, and high cost of supply . (b) Difference in survival curves between counties with low and high cost of supply .
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in Political Participation in the Least Healthy Place in America: Examining the Political Determinants of Health in the Mississippi Delta
> Journal of Health Politics, Policy and Law
Published: 01 June 2019
Figure 1 Counties across eight states comprising the Delta Regional Authority.
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in The Trump Effect: Postinauguration Changes in Marketplace Enrollment
> Journal of Health Politics, Policy and Law
Published: 01 October 2019
Figure 4 Weekly trends in total Marketplace enrollment for included counties, 2016 and 2017 open enrollment periods. Source : Authors' analysis of Marketplace enrollment data from CMS FOIA.
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in The Demise of Community Responsibility: Unintended Consequences of Coverage Expansions on California Public Hospitals
> Journal of Health Politics, Policy and Law
Published: 01 April 2019
Figure 5 (a) Survival curves for counties with low, mean, and high need . (b) Difference in survival curves between counties with low and high need.
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