Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Abolition of Familty (1)
- Alternative Childrearing Arrangements (1)
- Bayesian Statistical Methods (1)
- Bayesian analysis; benchmarking; central line infections; intensive-care; association; mortality; risk; (1)
- Civil Rights (1)
-
- Communitarianism (1)
- Constitutional Law (1)
- Fair Equality of Opportunity (1)
- Family (1)
- General Law (1)
- Human Nature (1)
- Human Rights Law (1)
- John Rawls (1)
- Jurisprudence (1)
- Justice (1)
- Justice as Fairness (1)
- Law and Society (1)
- Liberalism (1)
- Marxist Critique of Justice (1)
- Nursing (1)
- Original Position (1)
- Plato (1)
- Politics (1)
- Pragmatism (1)
- Priority of Justice (1)
- Public Law and Legal Theory (1)
- Rousseau (1)
- Sexuality and the Law (1)
- Two Principles of Justice (1)
- Women (1)
- Publication
Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Rights Of Inequality: Rawlsian Justice, Equal Opportunity, And The Status Of The Family, Justin Schwartz
Rights Of Inequality: Rawlsian Justice, Equal Opportunity, And The Status Of The Family, Justin Schwartz
Justin Schwartz
Is the family subject to principles of justice? In A Theory of Justice, John Rawls includes the (monogamous) family along with the market and the government as among the "basic institutions of society" to which principles of justice apply. Justice, he famously insists, is primary in politics as truth is in science: the only excuse for tolerating injustice is that no lesser injustice is possible. The point of the present paper is that Rawls doesn't actually mean this. When it comes to the family, and in particular its impact on fair equal opportunity (the first part of the the Difference …
Benchmarking Patient Outcomes, Ellen B. Rudy, Joseph F. Lucke, Gayle R. Whitman, Lynda J. Davidson
Benchmarking Patient Outcomes, Ellen B. Rudy, Joseph F. Lucke, Gayle R. Whitman, Lynda J. Davidson
Joseph Lucke
Purpose: To examine the usefulness of three types of benchmarking for interpreting patient outcome data.
Design: This study was part of a multiyear, multihospital longitudinal survey of 10 patient outcomes. The patient outcome used for this methodologic presentation was central line infections (CLI). The sample included eight hospitals in an integrated healthcare system, with a range in size from 144 to 861 beds. The unit of analysis for CLI was the number of line days, with the CLI rate defined as the number of infections per 1,000 patient-line days per month.
Methods: Data on each outcome were collected at the …