Peter P. Groenewegen – författare
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2 produkter
2 produkter
Inbunden, Engelska, 2020
560 kr
Skickas inom 10-15 vardagar
This open access book is a practical introduction to multilevel modelling or multilevel analysis (MLA) – a statistical technique being increasingly used in public health and health services research. The authors begin with a compelling argument for the importance of researchers in these fields having an understanding of MLA to be able to judge not only the growing body of research that uses it, but also to recognise the limitations of research that did not use it. The volume also guides the analysis of real-life data sets by introducing and discussing the use of the multilevel modelling software MLwiN, the statistical package that is used with the example data sets. Importantly, the book also makes the training material accessible for download – not only the datasets analysed within the book, but also a freeware version of MLwiN to allow readers to work with these datasets.The book’s practical review of MLA comprises:Theoretical, conceptual, and methodological backgroundStatistical backgroundThe modelling process and presentation of researchTutorials with example datasetsMultilevel Modelling for Public Health and Health Services Research: Health in Context is a practical and timely resource for public health and health services researchers, statisticians interested in the relationships between contexts and behaviour, graduate students across these disciplines, and anyone interested in utilising multilevel modelling or multilevel analysis.“Leyland and Groenewegen’s wealth of teaching experience makes this book and its accompanying tutorials especially useful for a practical introduction to multilevel analysis.”̶ Juan Merlo, Professor of Social Epidemiology, Lund University“Comprehensive and insightful. A must for anyone interested in the applications of multilevel modelling to population health”.̶ S. (Subu) V.Subramanian, Professor of Population Health and Geography, Harvard University
Häftad, Engelska, 2025
339 kr
Skickas inom 5-8 vardagar
This open access book shows the scientific and policy-added value of combining health systems, health services and population health research. In doing so the authors create awareness among researchers to look beyond the boundaries of their own discipline and promote cross-disciplinary collaboration. The book also gives an overview of what is known in the scientific literature about the relationships between the structure of health systems, health service provision and utilisation, and inequalities in population health.Health inequalities are unjust and avoidable and, as a focus of health policy in many governments, are widely studied in public health research. But studies of health inequalities too often ignore the role that health systems and health services play in the production of inequalities in population health and, as a consequence, their potential to create or reduce inequalities in health. Studies of inequalities in health often incorporate the social determinants of health. The same societal structures that form the social determinants of health also determine the health system structure and their impact on access to and the provision of health services and the benefits of health service use to patients with different socioeconomic backgrounds. This means that attempts to reduce health inequalities by addressing the social determinants of health must also consider the potential pathway through the health system and the provision of health services.In the final chapter the authors discuss ways of breaking down the barriers between the three approaches. After reading this compact volume, researchers will be more aware of the theoretical and methodological approaches in the three areas and more inclined to look beyond the boundaries of their own discipline. Health Systems, Health Services and Inequality in Population Health is essential reading for researchers in health systems research, health services research and population health research. In addition, the brief is relevant for health policy researchers, health impact researchers, health economists, epidemiologists, public health practitioners and professionals in health services planning and management.