A brief version of the questionnaire of olfactory disorders in patients with chronic rhinosinusitis
Funding sources for the study: National Institute on Deafness and Other Communication Disorders of the National Institutes of Health (R03 DC013651-01 [principal investigator: Z.M.S.] and R01 DC005805 [principal investigators: T.L.S. and Z.M.S.]).
Potential conflicts of interest: J.L.M.: Sanofi Genzyme, consultant (not affiliated with this research). R.J.S.: Sanofi, Olympus, Stryker, and Optinose, consultant (not affiliated with this research). Z.M.S.: Olympus, Optinose, Novartis, Regeneron, and Sinusonic, consultant (not affiliated with this research).
Presented as a podium presentation at the Rhinoworld, June 5-9, 2019, in Chicago, IL.
Abstract
Background
The Questionnaire of Olfactory Disorders‒Negative Statements (QOD-NS) is a valuable instrument in the measurement of olfactory-specific quality of life (QOL). In the clinical setting, patients can be overwhelmed with the time required to complete questionnaires. Our objective was to develop a brief version of the QOD-NS to streamline clinical care and research.
Methods
QOD-NS scores from 221 subjects were used to determine which subset of the 17 QOD-NS questions best correlated with total and subdomain QOD-NS scores. An initial pool of 11 questions was made by removing items with ρ < 0.80 to their respective subdomain scores. Next, 500 bootstrapped samples were taken. On each sampe, an all-subsets regression was performed with total QOD-NS scores and QOD-NS subdomain scores as the outcomes. From this, our “top” and “bottom” 10 subsets were identified based on mean r2 value, representation in bootstrap analysis, and number of items.
Results
All of our top subsets had excellent correlation with total and subdomain QOD-NS scores (mean r2 > 0.90). Our top choice has 7 total questions, is representative of all subdomains, has a mean r2 = 0.92, and was represented in 323 of our 500 bootstrapped samples. The worst-performing subset has 5 items, mean r2 = 0.81, and was represented in only 1 bootstrapped sample.
Conclusions
Using less than half of the questions in the QOD-NS, excellent correlations with both total and domain-specific scores are achieved. A brief version of the QOD-NS may prove useful in future clinical and research settings.
