Back to Search
Start Over
Diabetes and quality of life: Comparing results from utility instruments and Diabetes-39.
- Source :
-
Diabetes Research & Clinical Practice . Aug2015, Vol. 109 Issue 2, p326-333. 8p. - Publication Year :
- 2015
-
Abstract
- <bold>Objective: </bold>To compare the Diabetes-39 (D-39) with six multi-attribute utility (MAU) instruments (15D, AQoL-8D, EQ-5D, HUI3, QWB, and SF-6D), and to develop mapping algorithms which could be used to transform the D-39 scores into the MAU scores.<bold>Research Design and Methods: </bold>Self-reported diabetes sufferers (N=924) and members of the healthy public (N=1760), aged 18 years and over, were recruited from 6 countries (Australia 18%, USA 18%, UK 17%, Canada 16%, Norway 16%, and Germany 15%). Apart from the QWB which was distributed normally, non-parametric rank tests were used to compare subgroup utilities and D-39 scores. Mapping algorithms were estimated using ordinary least squares (OLS) and generalised linear models (GLM).<bold>Results: </bold>MAU instruments discriminated between diabetes patients and the healthy public; however, utilities varied between instruments. The 15D, SF-6D, AQoL-8D had the strongest correlations with the D-39. Except for the HUI3, there were significant differences by gender. Mapping algorithms based on the OLS estimator consistently gave better goodness-of-fit results. The mean absolute error (MAE) values ranged from 0.061 to 0.147, the root mean square error (RMSE) values 0.083 to 0.198, and the R-square statistics 0.428 and 0.610. Based on MAE and RMSE values the preferred mapping is D-39 into 15D. R-square statistics and the range of predicted utilities indicate the preferred mapping is D-39 into AQoL-8D.<bold>Conclusions: </bold>Utilities estimated from different MAU instruments differ significantly and the outcome of a study could depend upon the instrument used. The algorithms reported in this paper enable D-39 data to be mapped into utilities predicted from any of six instruments. This provides choice for those conducting cost-utility analyses. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DIABETES
*QUALITY of life
*SELF-evaluation
*HEALTH outcome assessment
*STANDARD deviations
*DIABETES & psychology
*ALGORITHMS
*COMPARATIVE studies
*COST effectiveness
*HEALTH status indicators
*RESEARCH methodology
*MEDICAL cooperation
*RESEARCH
*WORLD health
*EVALUATION research
RESEARCH evaluation
Subjects
Details
- Language :
- English
- ISSN :
- 01688227
- Volume :
- 109
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Diabetes Research & Clinical Practice
- Publication Type :
- Academic Journal
- Accession number :
- 108550655
- Full Text :
- https://doi.org/10.1016/j.diabres.2015.05.011