Literature DB >> 2921888

Using composite health status measures to assess the nation's health.

P Erickson1, E A Kendall, J P Anderson, R M Kaplan.   

Abstract

Research in progress at the National Center for Health Statistics for evaluating the usefulness of composite measures of health status for assessing the nation's health is described. Three measures suitable for use in the general population, the Health Insurance Experiment-Functional Limitations (HIE-FL), the Health Utility Index (HUI), and the Quality of Well-being (QWB) scale, have been mapped to data collected in the 1980 National Health Interview Survey (NHIS). Analysis using current algorithms for making composite function status measures according to the QWB methods suggests that traditional single indicators of health tend to overestimate the level of health by about 10%. When symptoms and problems are added to the composite function score, the overestimate as measured by the single indicator is at least 50%. The authors are continuing to validate these algorithms, to develop similar ones for the HIE-FL and HUI, and to extend the analysis to data collected in 1977, 1979, and 1984. Current results indicate that to realize fully the benefits of composite measures, well-established, valid, and reliable measures of health-related quality of life should be included as part of the regular NHIS data collection procedures.

Mesh:

Year:  1989        PMID: 2921888     DOI: 10.1097/00005650-198903001-00006

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  13 in total

1.  Linking the health utilities index to National Medical Expenditure Survey data.

Authors:  J A Rizzo; S Pashko; R Friedkin; J Mullahy; J L Sindelar
Journal:  Pharmacoeconomics       Date:  1998-05       Impact factor: 4.981

2.  US trends in quality-adjusted life expectancy from 1987 to 2008: combining national surveys to more broadly track the health of the nation.

Authors:  Susan T Stewart; David M Cutler; Allison B Rosen
Journal:  Am J Public Health       Date:  2013-09-12       Impact factor: 9.308

3.  National health objectives for the year 2000: the demographic impact of health promotion and disease prevention.

Authors:  M A Stoto; J S Durch
Journal:  Am J Public Health       Date:  1991-11       Impact factor: 9.308

4.  Income-related health inequalities in Canada and the United States: a decomposition analysis.

Authors:  Kimberlyn M McGrail; Eddy van Doorslaer; Nancy A Ross; Claudia Sanmartin
Journal:  Am J Public Health       Date:  2009-01-15       Impact factor: 9.308

5.  Health-related quality of life assessment and the pharmaceutical industry.

Authors:  D A Revicki; M Rothman; B Luce
Journal:  Pharmacoeconomics       Date:  1992-06       Impact factor: 4.981

6.  Distinguishing health expectancies and health-adjusted life expectancies from quality-adjusted life years.

Authors:  J M Robine; C D Mathers; D Bucquet
Journal:  Am J Public Health       Date:  1993-06       Impact factor: 9.308

Review 7.  Assessing the need for health status measures.

Authors:  J L Donovan; S J Frankel; J D Eyles
Journal:  J Epidemiol Community Health       Date:  1993-04       Impact factor: 3.710

8.  The Quality of Well-Being scale in asymptomatic HIV-infected patients. HNRC Group. HIV Neural Behavioral Research Center.

Authors:  R M Kaplan; T L Patterson; D N Kerner; J H Atkinson; R K Heaton; I Grant
Journal:  Qual Life Res       Date:  1997-08       Impact factor: 4.147

Review 9.  Analyzing oncology clinical trial data using the Q-TWiST method: clinical importance and sources for health state preference data.

Authors:  Dennis A Revicki; David Feeny; Timothy L Hunt; Bernard F Cole
Journal:  Qual Life Res       Date:  2006-04       Impact factor: 4.147

10.  Glycemia and the quality of well-being in patients with diabetes.

Authors:  B P Tabaei; J Shill-Novak; M Brandle; R Burke; R M Kaplan; W H Herman
Journal:  Qual Life Res       Date:  2004-08       Impact factor: 4.147

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