Literature DB >> 12555050

Measuring population health: a comparison of three generic health status measures.

Susan Macran1, Helen Weatherly, Paul Kind.   

Abstract

OBJECTIVES: The relative performance of three widely used generic health status measures (EQ-5D, a modified HUI3 [mHUI3], and SF-12) was compared within a general population sample.
MATERIALS AND METHODS: Data were taken from a cohort of persons identified from the patient list of a large general practice in York, UK. Two-way comparisons were made between EQ-5D and mHUI3 and EQ-5D and SF-12. The measures were assessed in terms of their practical viability, coverage, and discrimination. Practical viability was evaluated in terms of the extent of missing responses and the proportion indicating difficulty with a measure. Coverage examined the range of responses across the items in the measures. Discrimination examined the capacity of the measures to discriminate between persons according to their self-reported morbidity and socioeconomic status.
RESULTS: One thousand one hundred twenty-six persons completed a postal questionnaire containing EQ-5D and either mHUI3 (n = 593) or SF-12 (n = 533). Missing responses were low across all three instruments. SF-12 showed a broad distribution of responses across its items however, responses on the mHUI3 hearing, speech and dexterity dimensions and the EQ-5D self-care dimension were highly skewed, with few persons reporting problems. In terms of summary scores, mHUI3 identified more mild health states than EQ-5D. EQ-5D and mHUI3 showed slightly better discrimination than SF-12.
CONCLUSIONS: Despite the inherent differences in their descriptive systems and scoring functions, no one instrument performed better or worse than the other with respect to the criteria applied in this study. Some of the issues to be considered when choosing a population health measure are discussed.

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Mesh:

Year:  2003        PMID: 12555050     DOI: 10.1097/01.MLR.0000044901.57067.19

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


  53 in total

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2.  Validation of the EQ-5D quality of life instrument in patients after myocardial infarction.

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3.  Preference-Based EQ-5D index scores for chronic conditions in the United States.

Authors:  Patrick W Sullivan; Vahram Ghushchyan
Journal:  Med Decis Making       Date:  2006 Jul-Aug       Impact factor: 2.583

4.  Mapping the EQ-5D index from the SF-12: US general population preferences in a nationally representative sample.

Authors:  Patrick W Sullivan; Vahram Ghushchyan
Journal:  Med Decis Making       Date:  2006 Jul-Aug       Impact factor: 2.583

5.  Measuring preferences for cost-utility analysis: how choice of method may influence decision-making.

Authors:  Christine M McDonough; Anna N A Tosteson
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6.  The impact of 29 chronic conditions on health-related quality of life: a general population survey in Finland using 15D and EQ-5D.

Authors:  Samuli I Saarni; Tommi Härkänen; Harri Sintonen; Jaana Suvisaari; Seppo Koskinen; Arpo Aromaa; Jouko Lönnqvist
Journal:  Qual Life Res       Date:  2006-09-08       Impact factor: 4.147

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Authors:  Christine M McDonough; Tor D Tosteson; Anna N A Tosteson; Alan M Jette; Margaret R Grove; James N Weinstein
Journal:  Med Decis Making       Date:  2010-11-22       Impact factor: 2.583

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Journal:  Qual Life Res       Date:  2009-06-19       Impact factor: 4.147

Review 9.  Psychosocial Mediators of Change and Patient Selection Factors in Oral Immunotherapy Trials.

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10.  Bayesian decision analysis for choosing between diagnostic/prognostic prediction procedures.

Authors:  John Kornak; Ying Lu
Journal:  Stat Interface       Date:  2011       Impact factor: 0.582

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