Med Decis Making - Predicting the EuroQol Group's EQ-5D index from CDC's Healthy Days in a US sample.

Tópicos

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Resumo

CKGROUND: Obtaining reliable preference-based scores from the widely used Healthy Days measures would enable calculation of quality-adjusted life years (QALYs) and cost-utility analyses in many US community populations and over time. Previous studies translating the Healthy Days to the EQ-5D, a preference-based measure, relied on an indirect method because of a lack of population-based survey data that asked both sets of questions of the same respondents.METHOD: Data from the 2005-2006 National Health Measurement Study (NHMS; n = 3844 adults 35 years old or older) were used to develop regression-based models to estimate EQ-5D index scores from self-reported age, self-rated general health, and numbers of unhealthy days.RESULTS: The models explained up to 52% of the variance in the EQ-5D. Estimated EQ-5D scores matched well to the observed EQ-5D scores in mean scores overall and by age, gender, race/ethnicity, income, education, body mass index, smoking, and disease categories. The average absolute differences were 0.005 to 0.006 on a health utility scale. After estimating mean EQ-5D index scores overall and for various subgroups in a large representative US sample of Healthy Days respondents, the authors found that these mean scores also closely matched the corresponding mean scores of EQ-5D respondents obtained from another large US representative sample with an average absolute difference of 0.013 points.CONCLUSIONS: This study yielded a mapping algorithm to estimate EQ-5D index scores from the Healthy Days measures for populations of adults 35 years old and older. Such analysis confirms it is feasible to estimate mean EQ-5D index scores with acceptable validity for use in calculating QALYs and cost-utility analyses based on the overall model fit and relatively small differences between the observed and the estimated mean scores.

Resumo Limpo

ckground obtain reliabl preferencebas score wide use healthi day measur enabl calcul qualityadjust life year qali costutil analys mani us communiti popul time previous studi translat healthi day eqd preferencebas measur reli indirect method lack populationbas survey data ask set question respondentsmethod data nation health measur studi nhms n adult year old older use develop regressionbas model estim eqd index score selfreport age selfrat general health number unhealthi daysresult model explain varianc eqd estim eqd score match well observ eqd score mean score overal age gender raceethn incom educ bodi mass index smoke diseas categori averag absolut differ health util scale estim mean eqd index score overal various subgroup larg repres us sampl healthi day respond author found mean score also close match correspond mean score eqd respond obtain anoth larg us repres sampl averag absolut differ pointsconclus studi yield map algorithm estim eqd index score healthi day measur popul adult year old older analysi confirm feasibl estim mean eqd index score accept valid use calcul qali costutil analys base overal model fit relat small differ observ estim mean score

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