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Measuring Population Health Outcomes
An ideal population health outcome metric should reflect a population's dynamic state of physical, mental, and social well-being. Positive health outcomes include being alive; functioning well mentally, physically, and socially; and having a sense of well-being. Negative outcomes include death,...
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Formato: | Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2901569/ https://www.ncbi.nlm.nih.gov/pubmed/20550829 |
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author | Parrish, R. Gibson |
author_facet | Parrish, R. Gibson |
author_sort | Parrish, R. Gibson |
collection | PubMed |
description | An ideal population health outcome metric should reflect a population's dynamic state of physical, mental, and social well-being. Positive health outcomes include being alive; functioning well mentally, physically, and socially; and having a sense of well-being. Negative outcomes include death, loss of function, and lack of well-being. In contrast to these health outcomes, diseases and injuries are intermediate factors that influence the likelihood of achieving a state of health. On the basis of a review of outcomes metrics currently in use and the availability of data for at least some US counties, I recommend the following metrics for population health outcomes: 1) life expectancy from birth, or age-adjusted mortality rate; 2) condition-specific changes in life expectancy, or condition-specific or age-specific mortality rates; and 3) self-reported level of health, functional status, and experiential status. When reported, outcome metrics should present both the overall level of health of a population and the distribution of health among different geographic, economic, and demographic groups in the population. |
format | Text |
id | pubmed-2901569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-29015692010-07-22 Measuring Population Health Outcomes Parrish, R. Gibson Prev Chronic Dis Special Topic An ideal population health outcome metric should reflect a population's dynamic state of physical, mental, and social well-being. Positive health outcomes include being alive; functioning well mentally, physically, and socially; and having a sense of well-being. Negative outcomes include death, loss of function, and lack of well-being. In contrast to these health outcomes, diseases and injuries are intermediate factors that influence the likelihood of achieving a state of health. On the basis of a review of outcomes metrics currently in use and the availability of data for at least some US counties, I recommend the following metrics for population health outcomes: 1) life expectancy from birth, or age-adjusted mortality rate; 2) condition-specific changes in life expectancy, or condition-specific or age-specific mortality rates; and 3) self-reported level of health, functional status, and experiential status. When reported, outcome metrics should present both the overall level of health of a population and the distribution of health among different geographic, economic, and demographic groups in the population. Centers for Disease Control and Prevention 2010-06-15 /pmc/articles/PMC2901569/ /pubmed/20550829 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Special Topic Parrish, R. Gibson Measuring Population Health Outcomes |
title | Measuring Population Health Outcomes |
title_full | Measuring Population Health Outcomes |
title_fullStr | Measuring Population Health Outcomes |
title_full_unstemmed | Measuring Population Health Outcomes |
title_short | Measuring Population Health Outcomes |
title_sort | measuring population health outcomes |
topic | Special Topic |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2901569/ https://www.ncbi.nlm.nih.gov/pubmed/20550829 |
work_keys_str_mv | AT parrishrgibson measuringpopulationhealthoutcomes |