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Longitudinal predictive ability of mapping models: examining post-intervention EQ-5D utilities derived from baseline MHAQ data in rheumatoid arthritis patients.

AbstractOBJECTIVES:
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.
METHODS:
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.
RESULTS:
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.
CONCLUSIONS:
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.
AuthorsNick Kontodimopoulos, Panagiotis Bozios, John Yfantopoulos, Dimitris Niakas
JournalThe European journal of health economics : HEPAC : health economics in prevention and care (Eur J Health Econ) Vol. 14 Issue 2 Pg. 307-14 (Apr 2013) ISSN: 1618-7601 [Electronic] Germany
PMID22252308 (Publication Type: Journal Article)
Chemical References
  • Antirheumatic Agents
Topics
  • Antirheumatic Agents (economics, therapeutic use)
  • Arthritis, Rheumatoid (drug therapy)
  • Cohort Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Economic
  • Outcome Assessment, Health Care
  • Predictive Value of Tests
  • Quality of Life
  • Regression Analysis
  • Severity of Illness Index

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