Allen L Feng1,2, Nicholas C Wesely3, Lloyd P Hoehle1,2, Katie M Phillips1,2, Alisa Yamasaki1,2, Adam P Campbell1,2, Luciano L Gregorio4, Thomas E Killeen3,5, David S Caradonna1,6, Josh C Meier3,5, Stacey T Gray1,2, Ahmad R Sedaghat1,2,6,7. 1. Department of Otolaryngology, Harvard Medical School, Boston, MA. 2. Department of Otolaryngology, Massachusetts Eye and Ear Infirmary, Boston, MA. 3. School of Medicine, University of Nevada, Reno, Reno, NV. 4. Departamento de Otorrinolaringologia e Cirurgia de Cabeça e Pescoço (Department of Otorhinolaryngology and Head and Neck Surgery), Universidade Federal de São Paolo, São Paulo, Brazil. 5. Nevada ENT and Hearing Associates, Reno, NV. 6. Division of Otolaryngology, Beth Israel Deaconess Medical Center, Boston, MA. 7. Department of Otolaryngology and Communications Enhancement, Boston Children's Hospital, Boston, MA.
Abstract
BACKGROUND: Previous studies have identified subdomains of the 22-item Sino-Nasal Outcome Test (SNOT-22), reflecting distinct and largely independent categories of chronic rhinosinusitis (CRS) symptoms. However, no study has validated the subdomain structure of the SNOT-22. This study aims to validate the existence of underlying symptom subdomains of the SNOT-22 using confirmatory factor analysis (CFA) and to develop a subdomain model that practitioners and researchers can use to describe CRS symptomatology. METHODS: A total of 800 patients with CRS were included into this cross-sectional study (400 CRS patients from Boston, MA, and 400 CRS patients from Reno, NV). Their SNOT-22 responses were analyzed using exploratory factor analysis (EFA) to determine the number of symptom subdomains. A CFA was performed to develop a validated measurement model for the underlying SNOT-22 subdomains along with various tests of validity and goodness of fit. RESULTS: EFA demonstrated 4 distinct factors reflecting: sleep, nasal, otologic/facial pain, and emotional symptoms (Cronbach's alpha, >0.7; Bartlett's test of sphericity, p < 0.001; Kaiser-Meyer-Olkin >0.90), independent of geographic locale. The corresponding CFA measurement model demonstrated excellent measures of fit (root mean square error of approximation, <0.06; standardized root mean square residual, <0.08; comparative fit index, >0.95; Tucker-Lewis index, >0.95) and measures of construct validity (heterotrait-monotrait [HTMT] ratio, <0.85; composite reliability, >0.7), again independent of geographic locale. CONCLUSION: The use of the 4-subdomain structure for SNOT-22 (reflecting sleep, nasal, otologic/facial pain, and emotional symptoms of CRS) was validated as the most appropriate to calculate SNOT-22 subdomain scores for patients from different geographic regions using CFA.
BACKGROUND: Previous studies have identified subdomains of the 22-item Sino-Nasal Outcome Test (SNOT-22), reflecting distinct and largely independent categories of chronic rhinosinusitis (CRS) symptoms. However, no study has validated the subdomain structure of the SNOT-22. This study aims to validate the existence of underlying symptom subdomains of the SNOT-22 using confirmatory factor analysis (CFA) and to develop a subdomain model that practitioners and researchers can use to describe CRS symptomatology. METHODS: A total of 800 patients with CRS were included into this cross-sectional study (400 CRSpatients from Boston, MA, and 400 CRSpatients from Reno, NV). Their SNOT-22 responses were analyzed using exploratory factor analysis (EFA) to determine the number of symptom subdomains. A CFA was performed to develop a validated measurement model for the underlying SNOT-22 subdomains along with various tests of validity and goodness of fit. RESULTS: EFA demonstrated 4 distinct factors reflecting: sleep, nasal, otologic/facial pain, and emotional symptoms (Cronbach's alpha, >0.7; Bartlett's test of sphericity, p < 0.001; Kaiser-Meyer-Olkin >0.90), independent of geographic locale. The corresponding CFA measurement model demonstrated excellent measures of fit (root mean square error of approximation, <0.06; standardized root mean square residual, <0.08; comparative fit index, >0.95; Tucker-Lewis index, >0.95) and measures of construct validity (heterotrait-monotrait [HTMT] ratio, <0.85; composite reliability, >0.7), again independent of geographic locale. CONCLUSION: The use of the 4-subdomain structure for SNOT-22 (reflecting sleep, nasal, otologic/facial pain, and emotional symptoms of CRS) was validated as the most appropriate to calculate SNOT-22 subdomain scores for patients from different geographic regions using CFA.
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