Skip Nav Destination
Close Modal
Search Results for
variable
Update search
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- eISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- eISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- eISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- eISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- eISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Authors
- Author Affiliations
- Full Text
- Abstract
- Keywords
- DOI
- ISBN
- eISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Subjects
Journal
Article Type
Date
Availability
1-20 of 1038
Search Results for variable
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
1
Sort by
Image
in Personal and Collective Evaluations of the 2010 Health Care Reform
> Journal of Health Politics, Policy and Law
Published: 01 October 2013
Figure 3 Confidence Intervals for Personal Retrospective Variables in Samples Split by Insurance Insecurity
More
Image
in Path Dependency and the Politics of Socialized Health Care
> Journal of Health Politics, Policy and Law
Published: 01 June 2016
Figure 5 Marginal Effects of Independent Variables at Each 1960 Value Note : The y -axes depict coefficient for public share of health spending. The gray areas indicate 95% confidence intervals.
More
Image
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 3 Hospital closures: survival curve (a) and hazard rate (b) with variables held at their means (or modes)
More
Image
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 3 Hospital closures: survival curve (a) and hazard rate (b) with variables held at their means (or modes)
More
Journal Article
J Health Polit Policy Law (1987) 12 (4): 741–809.
Published: 01 August 1987
...; determine whether or not there is a pattern to such use in high- versus low-use areas; and identify the variables that are associated with the variation and explain a portion of the variation. Beyond this, many researchers have attempted to ascertain whether such variables are associated...
Journal Article
J Health Polit Policy Law (1976) 1 (3): 319–337.
Published: 01 June 1976
...Kathleen A. Kemp; Robert A. Carp; David W. Brady The purpose of the article is to analyze the effect of the U.S. Supreme Court's abortion decisions upon the policies of hospitals in Harris County (Houston), Texas. The study attempts to determine the variables associated with the hospitals' policies...
Journal Article
J Health Polit Policy Law (2014) 39 (6): 1213–1251.
Published: 01 December 2014
... policy makers in high-spending states enact less generous Medicaid and CHIP policies. Results also indicate that the political environments of states are very important in determining their eligibility policies, but fewer political variables influence payment policies. In addition to including variables...
FIGURES
| View All (5)
View articletitled, State Variation in Health Care Spending and the Politics of State Medicaid Policy
View
PDF
for article titled, State Variation in Health Care Spending and the Politics of State Medicaid Policy
Includes: Supplementary data
Journal Article
J Health Polit Policy Law (1986) 11 (1): 117–135.
Published: 01 February 1986
.... The objective of this analysis is to examine the independent contribution of variables indigenous to health issues while controlling for party identification and ideology. The influence of health providers, measured by the effect of the number of state medical association members in each state, is significant...
Journal Article
J Health Polit Policy Law (1981) 6 (2): 229–254.
Published: 01 April 1981
... of interest groups, the political system, and the socioeconomic setting. Independent variables in the analysis include the urbanization and per capita income of each state, interparty competition, legislative turnover, and innovativeness in policymaking. In addition, three measures of occupational interest...
Journal Article
J Health Polit Policy Law (2020) 45 (1): 73–109.
Published: 01 February 2020
... contribution and state political and demographic data. After exploratory analyses of 15 potential independent variables, we quantified effects of 4 factors (initiative year, voter turnout, population born before 1946, advocate funding advantage) on voter support and likelihood of passage. Findings: A small...
FIGURES
Journal Article
J Health Polit Policy Law (2007) 32 (4): 685–731.
Published: 01 August 2007
...Etienne E. Pracht The objective of this article is to understand the political motivations underlying Medicaid managed care reforms by examining the determinants of enrollment of beneficiaries in managed care plans in the fifty states. To highlight the role of the model variables, including...
Journal Article
J Health Polit Policy Law (1992) 17 (4): 929–958.
Published: 01 August 1992
... highly developed standards. The United States ranks second, with Germany lagging considerably behind. The variations are explained by four variables: the pressure of the problem, as defined by the percentage of the population aged sixty-five and over; the caretaker potential in the family system, which...
Journal Article
J Health Polit Policy Law (1978) 2 (4): 508–530.
Published: 01 August 1978
... the quality of license holders are recommended such as tougher and more relevant examination procedures, more rigorous accreditation of schools and more active post-licensing review. Output variables are preferable to input variables for insuring quality of care. In short, it is questionable whether...
Journal Article
J Health Polit Policy Law (1987) 12 (2): 313–324.
Published: 01 April 1987
... analysis is used to control for selected variables that also influence utilization of hospital care. Cities with public hospitals were found to provide between 31 and 34 uncompensated adjusted admissions per 100 uninsured poor; in cities without a public hospital, 24 such admissions were provided...
Journal Article
J Health Polit Policy Law (2008) 33 (5): 907–941.
Published: 01 October 2008
... of understanding about pain policies, we examine the critical role played by state medical boards in developing pain policies and then apply event history analysis to identify the variables most critical to the formation of these policies. We develop an integrated model and evaluate the adoption of eight different...
Journal Article
J Health Polit Policy Law (1979) 3 (4): 479–496.
Published: 01 August 1979
... alternatives to inpatient care. Fourth, it examines some problems and consequences of governmental efforts to plan substitution. The general thrust of the paper is that the substitution process is complex and often depends upon amorphous variables whose influences are subtle, generally nonquantifiable...
Journal Article
J Health Polit Policy Law (2016) 41 (5): 939–968.
Published: 01 October 2016
...Ae-Sook Kim Abstract Previous studies have documented that market conditions affect nursing home performance; however, the evidence is inconsistent and conflicting. This study introduces three groups of county market conditions and a peer effect variable, and tests their impacts on the Nursing Home...
FIGURES
Image
in Participation without Representation? Senior Opinion, Legislative Behavior, and Federal Health Reform
> Journal of Health Politics, Policy and Law
Published: 01 April 2014
Figure 4 Political Participation by Age Source : 2004 National Annenberg Election Survey (NAES variables cRB11 and cKA01 )
More
Image
in Who Counts Where? COVID-19 Surveillance in Federal Countries
> Journal of Health Politics, Policy and Law
Published: 01 December 2021
Figure 3 Bivariate models of the subnational COVID-19 data quality index with 95% confidence intervals. Note : All independent variables are z -standardized.
More
Journal Article
J Health Polit Policy Law (2008) 33 (1): 93–115.
Published: 01 February 2008
... health organizations (PHOs), but there were also significant unintended consequences. As detailed in this article, these consequences include (1) the creation of a labyrinthine funding and organizational system with a variable capacity to deliver on the government's reform objectives, (2) an increase...
1