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Psychometric properties of the brief version of the questionnaire of olfactory disorders in patients with chronic rhinosinusitis
Author(s) -
Mattos Jose L.,
Bodner Todd E.,
Mace Jess C.,
Schlosser Rodney J.,
Beswick Daniel M.,
Ramakrishnan Vijay R.,
Alt Jeremiah A.,
Payne Spencer C.,
Smith Timothy L.,
Soler Zachary M.
Publication year - 2021
Publication title -
international forum of allergy and rhinology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.503
H-Index - 46
eISSN - 2042-6984
pISSN - 2042-6976
DOI - 10.1002/alr.22800
Subject(s) - medicine , cronbach's alpha , reliability (semiconductor) , exploratory factor analysis , confirmatory factor analysis , chronic rhinosinusitis , quality of life (healthcare) , psychometrics , clinical psychology , statistics , structural equation modeling , power (physics) , physics , mathematics , nursing , quantum mechanics
Background The Questionnaire of Olfactory Disorders‐Negative Statements (QOD‐NS) is a 17‐item instrument measuring olfactory‐specific quality of life (QOL). However, in clinical research patients can be overwhelmed with multiple questionnaires. We recently developed the 7‐item brief QOD‐NS (B‐QOD). Our objective was to evaluate the psychometric properties of the B‐QOD in both the development (D) sample, and in a separate replication (R) sample. Methods Testing on D ( n = 203) and R ( n = 281) samples included initial exploratory factor analysis (EFA), followed by internal reliability, information loss, and confirmatory factor analysis (CFA). Finally, incremental predictive utility analysis (IPUA) was performed by correlating the B‐QOD with the 22‐item Sino‐Nasal Outcome Test (SNOT‐22) survey. Results EFAs of both D and R demonstrated an underlying single‐factor structure (eigenvalue = 4.17 and 3.57, respectively) with comparable loading factors ( R > 0.30 for both). B‐QOD also had good internal reliability in both D and R (Cronbach's alpha = 0.88 and 0.83, respectively). Also, there is minimal information loss with B‐QOD compared to QOD‐NS in both D and R ( R = 0.98 and 0.96, respectively). CFA indicates that the B‐QOD single‐factor model has good overall fit as measured by the Comparative Fit Index (CFI) and the Standardized Root Mean Squared Residuals (SRMSR) in the D and R samples (CFI = 0.99 and 0.97; SRMSR = 0.035 and 0.053). IPUA shows that the QOD‐NS offers no additional predictive benefit of SNOT‐22 scores when compared with B‐QOD. Conclusion The 7‐item B‐QOD captures a structurally coherent and reliable single dimension, with minimal information loss and excellent external predictive utility when compared to the QOD‐NS.