Summary Measures Of Population Health Concepts Ethics Measurement And Applications Pdf

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Summary Measures of Population Health - Concepts, Ethics, Measurement and Applications

Downloadable PDFs are available for articles , book chapters and working papers. Cost-effectiveness analysis of intervention strategies to reduce the burden of noncommunicable diseases in Mexico. BMJ ; e Comparability of patient-reported health status: multi-country analysis of EQ-5D responses in patients with type 2 diabetes. Medical Care ; 49 10

To estimate the health-adjusted life expectancy HALE from diabetes mellitus DM using a population health survey linked to a population-based DM registry. HALE was estimated using an adapted Sullivan method. Life expectancy at birth of people with DM was HALE at birth was The linked data approach demonstrates that DM is an important cause of disease burden.

Summary measures of population health: concepts, ethics, measurement and applications.

Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. We discourage papers that are simply descriptive of disease trends without methodological advances. These are unlikely to be accepted for publication in the journal. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level.

An Ordinal Measure of Population Health

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We propose a population-level health index that addresses two of the main concerns of existing health measures: 1 the biases in self-assessed health measures, and 2 the difficulties associated with making comparisons across populations afflicted by a variety of conditions in a context in which multi-morbidity is high. Starting from a set of general axioms, we derive a partial order index that ranks health across populations based on the relative prevalence of various conditions within these populations, and that can be readily applied to many existing health surveys. We illustrate the use of our health measure by applying it to data from the National Health Interview Survey in order to examine health differences across racial groups in the U. Comparisons of health across populations are often made in the academic literature, and are frequently cited in political discussions. However, despite the importance of this issue, there is still an active debate about how to best operationalize population-level health comparisons for a review of the literature, see Murray and Etches et al.

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