Governing mandatory health insurance [[electronic resource] ] : learning from experience / / edited by William D. Savedoff and Pablo Gottret

• Record Nr.: UNINA9910454122303321
• Pubbl/distr/stampa: Washington, DC, : World Bank, 2008
• ISBN: 1-281-78747-7; 9786611787479; 0-8213-7549-0
• Descrizione fisica: 1 online resource (246 p.)
• Altri autori (Persone): SavedoffWilliam D; GottretPablo E <1959-> (Pablo Enrique)
• Disciplina: 368.382
• Soggetti: Health insurance; Health insurance - Europe; Health insurance - Latin America; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Contents; Foreword; Acknowledgments; Acronyms and abbreviations; Overview; Figure 1 Accountability through governance; Table 1 Mandatory health insurance models and implications for governance; 1 Governing mandatory health insurance: Concepts, framework, and cases; Box 1.1 This book; Box 1.2 Definitions of social health insurance; Figure 1.1 Health insurance schemes; Box 1.3 Serving many masters; Figure 1.2 Three key relationships influencing the behavior of mandatory health insurance entities; Figure 1.3 Accountability through effective governance; Box 1.4 A "fifth" model; Table 1.1 Mandatory health insurance models and implications for governanceTable 1.2 General characteristics of case study countries; Table 1.3 Decisionmaking authority by country and issue; 2 Good governance dimensions in mandatory health insurance: A framework for performance assessment; Table 2.1 Dimensions, features, and indicators of good governance in mandatory health insurance; Figure 2.1 Example for mandatory health insurance governance performance assessment; Figure 2.2 Costa Rica mandatory health insurance ; governance performance assessment; Figure 2.3 Estonia mandatory health insurance governance performance assessmentFigure 2.4 The Netherlands mandatory health insurance governance performance assessment; Figure 2.5 Chile mandatory health insurance governance performance assessment; 3 Costly success: An integrated health insurer in Costa Rica; Figure 3.1 Evolution of health insurance coverage in Costa Rica; Table 3.1 Influence of different parties on CCSS decisions; Box 3.1 Resolutions of the constitutional court; Figure 3.2 Population covered by the primary health care program, 1990-2003; Figure 3.3 Average length of stay in the hospital, 1990-2004Figure 3.4 External consultations per hour, 1990-2004; 4 Governing a single-payer mandatory health insurance system: The case of Estonia; Figure 4.1 Organizational structure of the Estonian Health Insurance Fund, 2006; Box 4.1 Sources of main regulations; Figure 4.2 Overview of the Estonian health financing system; Table 4.1 Influence on decisions made by the Estonian health financing system; Figure 4.3 Population satisfaction with access to care, 2001-05; Figure 4.4 Outpatient contacts and acute care admissions, 1985-2003; Figure 4.5 Out-of-pocket payment for health care, 1998-2004Figure 4.6 Share of households with high health payments, 1995, 2001, and 2002; Figure 4.7 Estonian Health Insurance Fund revenues and expenditures, 1992-2006; 5 Governing multiple health insurers in acorporatist setting: The case of the Netherlands; Figure 5.1 Three-compartment structure of health insurance before 2006; Table 5.1 Composition of health care financing by source; Box 5.1 Overview of the 2006 reforms; 6 Governing a hybrid mandatory health insurance system: The case of Chile; Figure 6.1 Governance forces in mandatory health insurance: The general case
• Sommario/riassunto: Although mandatory health insurance programs are being proposed or expanded in many developing countries, relatively little attention has been given to how these programs are governed. The available literature focuses almost exclusively on operational features that are important but will necessarily change over time-such as eligibility, benefit packages, and premiums. Governing Mandatory Health Insurance instead looks at the institutional and political forces that affect the behavior of such programs within their social and historical contexts and how five dimensions of governance-coherent dec

Multivariate data analysis in sensory and consumer science [[electronic resource] /] / by Garmt B. Dijksterhuis

• Record Nr.: UNINA9910830893903321
• Autore: Dijksterhuis Garmt B
• Pubbl/distr/stampa: Trumbull, Conn., : Food & Nutrition Press, c1997
• ISBN: 1-281-45026-X; 9786611450267; 0-470-38505-7; 0-470-38483-2
• Descrizione fisica: 1 online resource (320 p.)
• Collana: Publications in food science and nutrition
• Disciplina: 664; 664.07; 664.072
• Soggetti: Food - Sensory evaluation; Multivariate analysis
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: MULTIVARIATE DATA ANALYSIS IN SENSORY AND CONSUMER SCIENCE; Prologue and Acknowledgements; CONTENTS; Introduction to Part IV; 1 Introduction; 1.2 Sensory Science; 1.1 Research Question; 1.3 Sensory Research and Sensory Profiling Data; 1.4 Sensory Profiling; 1.5 Individual Differences; 1.6 Measurement Levels; 1.7 Sensory-Instrumental Relations; 1.8 Time-Intensity Data Analysis; 1.9 Data Analysis. Confirmation and Exploration; 1.10 Structure of the Book; PART I: INDIVIDUAL DIFFERENCES; Introduction to Part I; 2 Assessing Panel Consonance; 2.1 Introduction; 2.2 Data Structure; 2.3 Method; 2.4 Examples2.5 Conclusion; 3 Interpreting Generalized Procrustes Analysis "Analysis of Variance" Tables; 3.1 Introduction; 3.2 Two Different Procrustes Methods; 3.3 Sums-of-squares in Generalized Procrustes Analysis; 3.4 Scaling the Total Variance; 3.5 Generalized Procrustes Analysis of a Conventional Profiling Experiment; 3.6 Generalized Procrustes Analysis of a Free Choice Profiling Experiment; 3.7 Conclusion; Concluding Remarks Part I; Introduction to Part II; 4 Multivariate Analysis of Coffee Images; 4.1 Introduction; 4.2 Data; 4.3 ; Methodology; 4.4 Analyses; 4.5 Conclusion; 5 Nonlinear Canonical Correlation Analysis of Multiway Data5.1 Introduction; 5.2 K-Sets Homogeneity Analysis; 5.3 K-Sets Canonical Correlation Analysis; 5.4 An Application of Overals to Multiway Data; 5.5 Conclusion; 6 Nonlinear Generalised Canonical Analysis: Introduction and Applicationfrom Sensory Research; 6.1 Introduction; 6.2 Generalised Canonical Analysis; 6.3 Nonlinear Generalised Canonical Analysis; 6.4 Application from Sensory Research; 6.5 Results; 6.6 Conclusion; Concluding Remarks Part II; PART III: SENSORY-INSTRUMENTAL RELATIONS; Introduction to Part I11; 7 An Application of Nonlinear Redundancy Analysis7.1 Introduction; 7.2 Redundancy Analysis; 7.3 Optimal Scaling; 7.4 Apple Data; 7.5 Results For Cox Apples; 7.6 Results For Elstar; 7.7 Conclusion; 8 An Application of Nonlinear Redundancy Analysis and Canonical Correlation Analysis; 8.1 Introduction; 8.2 Techniques; 8.3 Description of the Data; 8.4 REDUNDALS Results; 8.5 CANALS Results; 8.6 Conclusions; 9 Procrustes Analysis in Studying Sensory-Instrumental Relations; 9.1 Introduction; 9.2 Data; 9.3 Procrustes Analysis; 9.4 A First Look at the Data: PCA; 9.5 Matching the Sensory and Instrumental Data Sets9.6 Conclusion; Concluding Remarks Part I11; PART IV: TIME-INTENSITY DATA ANALYSIS; 10 Principal Component Analysis of Time-Intensity Bitterness Curves; 10.1 Introduction; 10.2 Data; 10.3 Principal Curves; 10.4 Non-Centered PCA; 10.5 Further Considerations; 11 Principal Component Analysis of Time-Intensity Curves: Three Methods Compared; 11.1 Introduction; 11.2 Method; 1 1.3 Principal Curve Analysis; 1 1.4 Non-Centered Principal Curves; 11.5 Covariance Principal Curves; 11.6 Correlation Principal Curves; 11.7 Conclusion; 12 Matching the Shape of Time-Intensity Curves
• Sommario/riassunto: This book is an outgrowth of research done by Dr. Gamt Dijsterhuis for his doctoral thesis at the University of Leiden. However, there are also contributions by several other authors, as well, including Eeke van der Burg, John Gower, Pieter Punter, Els van den Broek, and Margo Flipsen. This book discusses the use of Multivariate Data Analysis to solve problems in sensory and consumer research. More specifically the focus is on the analysis of the reactions to certain characteristics of food products, which are in the form of scores given to attributes perceived in the food stimuli; the