Longitudinal predictive ability of mapping models: examining post-intervention EQ-5D utilities derived from baseline MHAQ data in rheumatoid arthritis patients
Autor: | Nick Kontodimopoulos, Panagiotis Bozios, John Yfantopoulos, Dimitris Niakas |
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Rok vydání: | 2012 |
Předmět: |
Male
medicine.medical_specialty Economics Econometrics and Finance (miscellaneous) Arthritis Severity of Illness Index Arthritis Rheumatoid Cohort Studies Quality of life Predictive Value of Tests EQ-5D Outcome Assessment Health Care Severity of illness medicine Humans business.industry Health Policy Regression analysis Middle Aged medicine.disease Models Economic Antirheumatic Agents Predictive value of tests Rheumatoid arthritis Quality of Life Physical therapy Regression Analysis Female business Cohort study |
Zdroj: | The European Journal of Health Economics. 14:307-314 |
ISSN: | 1618-7601 1618-7598 |
DOI: | 10.1007/s10198-012-0376-9 |
Popis: | The purpose of this methodological study was to to provide insight into the under-addressed issue of the longitudinal predictive ability of mapping models. Post-intervention predicted and reported utilities were compared, and the effect of disease severity on the observed differences was examined.A cohort of 120 rheumatoid arthritis (RA) patients (60.0% female, mean age 59.0) embarking on therapy with biological agents completed the Modified Health Assessment Questionnaire (MHAQ) and the EQ-5D at baseline, and at 3, 6 and 12 months post-intervention. OLS regression produced a mapping equation to estimate post-intervention EQ-5D utilities from baseline MHAQ data. Predicted and reported utilities were compared with t test, and the prediction error was modeled, using fixed effects, in terms of covariates such as age, gender, time, disease duration, treatment, RF, DAS28 score, predicted and reported EQ-5D.The OLS model (RMSE = 0.207, R(2) = 45.2%) consistently underestimated future utilities, with a mean prediction error of 6.5%. Mean absolute differences between reported and predicted EQ-5D utilities at 3, 6 and 12 months exceeded the typically reported MID of the EQ-5D (0.03). According to the fixed-effects model, time, lower predicted EQ-5D and higher DAS28 scores had a significant impact on prediction errors, which appeared increasingly negative for lower reported EQ-5D scores, i.e., predicted utilities tended to be lower than reported ones in more severe health states.This study builds upon existing research having demonstrated the potential usefulness of mapping disease-specific instruments onto utility measures. The specific issue of longitudinal validity is addressed, as mapping models derived from baseline patients need to be validated on post-therapy samples. The underestimation of post-treatment utilities in the present study, at least in more severe patients, warrants further research before it is prudent to conduct cost-utility analyses in the context of RA by means of the MHAQ alone. |
Databáze: | OpenAIRE |
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