Predicting the Short Form-6D Preference-Based Index Using the Eight Mean Short Form-36 Health Dimension Scores- Estimating Preference-Based Health-Related Utilities When Patient Level Data Are not Available

Mar 1, 2009, 00:00
10.1111/j.1524-4733.2008.00428.x
https://www.valueinhealthjournal.com/article/S1098-3015(10)60714-0/fulltext
Title : Predicting the Short Form-6D Preference-Based Index Using the Eight Mean Short Form-36 Health Dimension Scores- Estimating Preference-Based Health-Related Utilities When Patient Level Data Are not Available
Citation : https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(10)60714-0&doi=10.1111/j.1524-4733.2008.00428.x
First page :
Section Title :
Open access? : No
Section Order : 20

Objective

The objective is to derive an algorithm to predict a cohort preference-based short form-6D (short form-6D) score using the eight mean health dimension scores from the short form-36 (SF-36) when patient level data are not available.

Methods

Health-related quality of life data (N = 6890) covering a wide range of health conditions was used to explore the relationship between the SF-6D and the eight health dimension scores. Models obtained using ordinary least square regressions were compared for goodness of fit and predictive abilities on both within-sample subgroups and out-of-sample published data sets.

Results

The models explained more than 83% of the variance in the individual SF-6D scores with a mean absolute error of 0.040. When using mean health dimension scores from within-sample subgroups and out-of-sample published data sets, the majority of predicted scores were well within the minimal important difference (0.041) for the SF-6D.

Conclusions

This article presents a mechanism to estimate a mean cohort preference-based SF-6D score using the eight mean health dimension scores of the SF-36. Using published summary statistics, the out-of-sample validation demonstrates that the algorithms can be used to inform both clinical and economic research. Further research is required in different health conditions.

Categories :
  • Health State Utilities
  • Methodological & Statistical Research
  • Patient Engagement
  • Patient-Centered Research
  • PRO & Related Methods
  • Stated Preference & Patient Satisfaction
Tags :
  • quality of life
  • quality-adjusted life-years
  • regression modeling
  • short form-36
  • utility
Regions :
  • Global
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