Validating the Transformation of PROMIS-GH to EQ-5D in Adult Spine Patients

Abstract

Spinal disorders and associated interventions are costly in the United States, putting them in the limelight of economic analyses. The Patient-Reported Outcomes Measurement Information System Global Health Survey (PROMIS-GHS) requires mapping to other surveys for economic investigation. Previous studies have proposed transformations of PROMIS-GHS to EuroQol 5-Dimension (EQ-5D) health index scores. These models require validation in adult spine patients. In our study, PROMIS-GHS and EQ-5D were randomly administered to 121 adult spine patients. The actual health index scores were calculated from the EQ-5D instrument and estimated scores were calculated from the PROMIS-GHS responses with six models. Goodness-of-fit for each model was determined using the coefficient of determination (R2), mean squared error (MSE), and mean absolute error (MAE). Among the models, the model treating the eight PROMIS-GHS items as categorical variables (CATReg) was the optimal model with the highest R2 (0.59) and lowest MSE (0.02) and MAE (0.11) in our spine sample population. Subgroup analysis showed good predictions of the mean EQ-5D by gender, age groups, education levels, etc. The transformation from PROMIS-GHS to EQ-5D had a high accuracy of mean estimate on a group level, but not at the individual level.

Mapping the Food Allergy Quality of Life Questionnaire Parent Form onto the Short‐Form Six‐Dimensions version 2

“…One coefficient () is estimated for each categorical variable and numerical quantifications are estimated for each of these categories . Ordinal variables were discretized by ranking and the dependent variable was discretized by the multiplying method 23 …”

“…Ordinal variables were discretized by ranking and the dependent variable was discretized by the multiplying method. 23 Models with continuous variables (1-3) included squared variables to model a non-linear relationship for regression techniques (OLS, Tobit, CLAD, MM). 21,24 Squared variables were omitted from GLM and MFP since they already attempt to fit a non-linear model.…”

Degenerative Cervical Myelopathy and the Aging Spine: Introduction to the Special Issue

“…The editors of the issue contributed to this introductory review and decided to limit each of the past, present, and future sections to three themes in an effort to stay focused on the most important topics. The remaining 11 articles included 9 research papers and 2 systematic reviews focusing on different aspects, ranging from genetic factors [ 6 ] to clinical assessments [ 7 , 8 ], imaging [ 9 , 10 ], sagittal balance [ 11 ], surgical treatment [ 12 ], and outcome prediction [ 13 , 14 , 15 , 16 ] ( Table 1 ). These articles represented contributions from a diverse group of researchers coming from multiple countries, including Switzerland, Germany, Italy, United Kingdom, United States, South Korea, and Canada.…”

“…Finally, in a topic relevant not only to the cervical spine, Panchagnula et al [ 8 ] assessed the capacity of PROMIS to be used as a surrogate for EQ-5D, demonstrating the possibility of high accuracy mathematical transformations from PROMIS to EQ-5D in large cohorts, but limitations of accuracy of such transformation on an individual basis. This validation permits the use of PROMIS (a free questionnaire available from the NIH for the evaluation of quality of life) data to be used for quality-adjusted life year calculations.…”