{"title":"Measuring progress in Healthy People 2010.","authors":"K. Keppel, J. Pearcy, Richard J. T. Klein","doi":"10.1037/e583732012-001","DOIUrl":"https://doi.org/10.1037/e583732012-001","url":null,"abstract":"Background--Healthy People 2010 (HP2010) objectives are based on two overarching goals: 1) to increase years and quality of healthy life, and 2) to eliminate disparities among subgroups of the population. Four hundred and sixty-seven specific objectives consistent with these goals were outlined, baseline data were identified when available, and specific targets were set for the year 2010. This report discusses the techniques that are being used to measure progress toward these two goals. Process--In order to promote consistency in monitoring across different objectives, a minimum template of subgroups was adopted for the population-based objectives in HP2010. A workgroup of individuals representing the U.S. Department of Health and Human Services agencies involved in HP2010 was convened to consider the issues related to monitoring progress toward the two goals of HP2010. The workgroup concurred with the recommendations in this report. Recommendations--Progress toward target attainment can be monitored for all objectives with at least one data point beyond the baseline. For those objectives that are based on data for a population, progress toward target attainment can also be measured for subgroups of the population. Progress toward the elimination of disparity for individual population subgroups can be measured in terms of the percent difference between each subgroup rate and the most favorable or \"best\" subgroup rate in each domain. For purposes of measuring disparity relative to the \"best\" subgroup rate, all measures are expressed in terms of adverse events.","PeriodicalId":83722,"journal":{"name":"Healthy People 2010 statistical notes : from the Centers for Disease Control and Prevention/National Center for Health Statistics","volume":"5 1","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82128163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kenneth G Keppel, Jeffrey N Pearcy, Richard J Klein
{"title":"Measuring progress in Healthy People 2010.","authors":"Kenneth G Keppel, Jeffrey N Pearcy, Richard J Klein","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Background--Healthy People 2010 (HP2010) objectives are based on two overarching goals: 1) to increase years and quality of healthy life, and 2) to eliminate disparities among subgroups of the population. Four hundred and sixty-seven specific objectives consistent with these goals were outlined, baseline data were identified when available, and specific targets were set for the year 2010. This report discusses the techniques that are being used to measure progress toward these two goals. Process--In order to promote consistency in monitoring across different objectives, a minimum template of subgroups was adopted for the population-based objectives in HP2010. A workgroup of individuals representing the U.S. Department of Health and Human Services agencies involved in HP2010 was convened to consider the issues related to monitoring progress toward the two goals of HP2010. The workgroup concurred with the recommendations in this report. Recommendations--Progress toward target attainment can be monitored for all objectives with at least one data point beyond the baseline. For those objectives that are based on data for a population, progress toward target attainment can also be measured for subgroups of the population. Progress toward the elimination of disparity for individual population subgroups can be measured in terms of the percent difference between each subgroup rate and the most favorable or \"best\" subgroup rate in each domain. For purposes of measuring disparity relative to the \"best\" subgroup rate, all measures are expressed in terms of adverse events.</p>","PeriodicalId":83722,"journal":{"name":"Healthy People 2010 statistical notes : from the Centers for Disease Control and Prevention/National Center for Health Statistics","volume":" 25","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24751103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Richard J. T. Klein, S. Proctor, Manon A Boudreault, K. Turczyn
{"title":"Healthy People 2010 criteria for data suppression.","authors":"Richard J. T. Klein, S. Proctor, Manon A Boudreault, K. Turczyn","doi":"10.1037/e583742012-001","DOIUrl":"https://doi.org/10.1037/e583742012-001","url":null,"abstract":"Healthy People 2010 is the third generation of 10-year goals and objectives for the Nation, and builds on initiatives pursued over the past two decades (1–3). It identifies 467 objectives for improving the health of the Nation. Because many of these objectives include a number of subobjectives, there are a total of 823 separate measures presented in Healthy People 2010. Of these measures, 432 are population-based. To facilitate comparisons among population groups, the Healthy People 2010 objectives include a population data table or ‘‘template’’ for each population-based measure. This template includes, at a minimum, disaggregations for specific race, Hispanic origin, gender, and socioeconomic status (either education or income). In addition, some objectives show further disaggregations for categories such as age, disability status, urban/rural classification, specific health conditions, or sexual orientation (3,4).","PeriodicalId":83722,"journal":{"name":"Healthy People 2010 statistical notes : from the Centers for Disease Control and Prevention/National Center for Health Statistics","volume":"42 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2002-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88912581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Wagener, M. T. Molla, E. Crimmins, E. Pamuk, J. Madans
{"title":"Summary measures of population health: addressing the first goal of healthy people 2010, improving health expectancy.","authors":"D. Wagener, M. T. Molla, E. Crimmins, E. Pamuk, J. Madans","doi":"10.1037/e583752012-001","DOIUrl":"https://doi.org/10.1037/e583752012-001","url":null,"abstract":"This report is one of several Healthy People Statistical Notes that evaluate methodological issues pertaining to summary measures - statistics that combine mortality and morbidity data to represent overall population health in a single number. This report evaluates the consequences of changes in the components of health expectancy measures (i.e., mortality or morbidity) on the overall measure. Any activity limitation is used as a morbidity measure. Simulations are used to evaluate the impacts of reducing 1995 age-specific mortality or activity limitation rates by 5, 10, 25, and 50 percent at all ages. Then it is limited to ages under 25 years, 25 -64 years, and over 64 years. The impact of completely eliminating mortality or activity limitation for the younger age groups is also examined. In general, reducing morbidity rates results in greater changes than the same percent reduction in death rates. The same proportional reduction in age-specific rates for either mortality or morbidity has a greater impact if it occurs at older ages. Reducing mortality results in a greater change in life expectancy than in health expectancy and a decline in the proportion of life lived in healthy states. Reducing morbidity increases both health expectancy and the proportion of life lived in healthy states. Simultaneous reductions in mortality and morbidity have additive effects on health expectancy.","PeriodicalId":83722,"journal":{"name":"Healthy People 2010 statistical notes : from the Centers for Disease Control and Prevention/National Center for Health Statistics","volume":"104 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2001-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80933558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Summary measures of population health: methods for calculating healthy life expectancy.","authors":"M. T. Molla, D. Wagener, J. Madans","doi":"10.1037/E583762012-001","DOIUrl":"https://doi.org/10.1037/E583762012-001","url":null,"abstract":"This report is one of several appearing as Healthy People Statistical Notes that evaluate methodological issues pertaining to summary measures. Summary measures of population health are statistics that combine mortality and morbidity to represent overall population health in a single number--in this report, health expectancy measures. This report presents a comprehensive discussion of the methods for calculation and methodologic issues related to the interpretation of healthy life expectancy. These measures combine both mortality and morbidity using an abridged life-table procedure. Data from the National Center for Health Statistics and other sources will be used to illustrate the calculation of the statistics and the associated statistical tests.","PeriodicalId":83722,"journal":{"name":"Healthy People 2010 statistical notes : from the Centers for Disease Control and Prevention/National Center for Health Statistics","volume":"108 1","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2001-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81512216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Age adjustment using the 2000 projected U.S. population.","authors":"R. Klein, C. Schoenborn","doi":"10.1037/e583772012-001","DOIUrl":"https://doi.org/10.1037/e583772012-001","url":null,"abstract":"Age adjustment, using the direct method, is the application of observed age-specific rates to a standard age distribution to eliminate differences in crude rates in populations of interest that result from differences in the populations’ age distributions. This adjustment is usually done when comparing two or more populations at one point in time or one population at two or more points in time. Age adjustment is particularly relevant when populations being compared have different age structures, for example, the U.S. white and Hispanic populations. The classic literature on age adjusting, as well as more recent National Center for Health Statistics (NCHS) publications, has focused on adjusting death rates and provides comprehensive discussions of age-adjustment techniques. However, age adjustment can be applied to any population-based event. This report describes several sets of age-adjustment weights, based on the year 2000 projected U.S. population, that were used to generate age-adjusted baseline data for a number of Healthy People 2010 objectives. This work builds on the foundation set by the Department of Health","PeriodicalId":83722,"journal":{"name":"Healthy People 2010 statistical notes : from the Centers for Disease Control and Prevention/National Center for Health Statistics","volume":"33 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90369756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}