P112: Calculating ex-ante Utilities from the Neck Disability Index Score: A prerequisite for quantifying the value of care for cervical spine pathology

Document Type

Conference Proceeding

Publication Date

6-1-2022

Publication Title

Global Spine J

Abstract

Introduction: The ability to calculate quality-adjusted life-years (QALYs) for neck pain and disability may enhance treatment decision making and facilitate economic analysis. QALYs are calculated using utilities, or health-related quality-of-life (HRQoL) weights. An instrument designed for neck pain and disability, the Neck Disability Index (NDI) questionnaire, would increase the sensitivity and specificity of HRQoL assessments. The objective of this study is to develop a multi-attribute utility function for the NDI. Material and Methods: We recruited a sample of 1200 adults from a market research panel. Using an online discrete choice experiment (DCE), participants rated 10 choice sets based on NDI health states. A multi-attribute utility function was estimated using a mixed multinomial-logit regression model (MIXL). The sample was partitioned into a training set used for model fitting and validation set used for model evaluation. Results: The regression model demonstrated good predictive performance on the validation set with an AUC of.77 (95% CI:.76-.78). The regression model was used to develop a utility scoring rubric for the NDI. Regression Results also revealed that participants did not regard all NDI domains as equally important. The rank order of importance was (in decreasing order): pain intensity = work; personal care = headache; concentration = sleeping; driving; recreation; lifting; and lastly reading. Conclusion: This study provides a simple technique for converting the NDI score to utilities and quantify the importance of NDI domains. The ability to evaluate QALYs for cervical spine pain and disability could facilitate economic analysis and patient counseling. Clinicians may use these findings to offer treatments that maximize function in the attributes viewed most important by patients.

Volume

12

Issue

3

First Page

263S

Last Page

264S

Share

COinS