Advertisement

 

 

A validated model for the 22-item Sino-Nasal Outcome Test subdomain structure in chronic rhinosinusitis.

A validated model for the 22-item Sino-Nasal Outcome Test subdomain structure in chronic rhinosinusitis.
Author Information (click to view)

Feng AL, Wesely NC, Hoehle LP, Phillips KM, Yamasaki A, Campbell AP, Gregorio LL, Killeen TE, Caradonna DS, Meier JC, Gray ST, Sedaghat AR,


Feng AL, Wesely NC, Hoehle LP, Phillips KM, Yamasaki A, Campbell AP, Gregorio LL, Killeen TE, Caradonna DS, Meier JC, Gray ST, Sedaghat AR, (click to view)

Feng AL, Wesely NC, Hoehle LP, Phillips KM, Yamasaki A, Campbell AP, Gregorio LL, Killeen TE, Caradonna DS, Meier JC, Gray ST, Sedaghat AR,

Advertisement
Share on FacebookTweet about this on TwitterShare on LinkedIn

International forum of allergy & rhinology 2017 10 13() doi 10.1002/alr.22025
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.

Submit a Comment

Your email address will not be published. Required fields are marked *

5 × 5 =

[ HIDE/SHOW ]