FACE-Q Craniofacial Module: Part 1 validation of CLEFT-Q scales for use in children and young adults with facial conditions.

BACKGROUND: The CLEFT-Q includes 12 independently functioning scales that measure appearance (face, nose, nostrils, teeth, lips, jaws), health-related quality of life (psychological, social, school, speech distress), and speech function, and an eating/drinking checklist. Previous qualitative research revealed that the CLEFT-Q has content validity in noncleft craniofacial conditions. This study aimed to examine the psychometric performance of the CLEFT-Q in an international sample of patients with a broad range of facial conditions. METHODS: Data were collected between October 2016 and December 2019 from 2132 patients aged 8 to 29 years with noncleft facial conditions. Rasch measurement theory (RMT) analysis was used to examine Differential Item Function (DIF) by comparing the original CLEFT-Q sample and the new FACE-Q craniofacial sample. Reliability and validity of the scales in a combined cleft and craniofacial sample (n=4743) were examined. RESULTS: DIF was found for 23 CLEFT-Q items when the datasets for the two samples were compared. When items with DIF were split by sample, correlations between the original and split person locations showed that DIF had negligible impact on scale scoring (correlations ≥0.995). In the combined sample, RMT analysis led to the retention of original content for ten CLEFT-Q scales, modification of the Teeth scale, and the addition of an Eating/Drinking scale. Data obtained fit with the Rasch model for 11 scales (exception School, p=0.04). Person Separation Index and Cronbach alpha values met the criteria. CONCLUSION: The scales described in this study can be used to measure outcomes in children and young adults with cleft and noncleft craniofacial conditions.

An international study to develop the EAR-Q patient-reported outcome measure for children and young adults with ear conditions.

BACKGROUND: There is currently a lack of patient-reported outcome measures for ear reconstruction. We developed the EAR-Q to measure ear appearance and post-operative adverse effects from the patient perspective. METHODS: Field-test data were collected from children and young adults in eight countries between 13 May 2016 and 12 December 2019. Rasch measurement theory (RMT) analysis was used to refine the scales and to examine their psychometric properties. RESULTS: Participants had microtia (n = 607), prominent ears (n = 145) or another ear condition (n = 111), and provided 960 assessments for the Appearance scale (e.g., size, shape, photos), and 137 assessments for the Adverse Effects scale (e.g., itchy, painful, numb). RMT analysis led to the reduction of each scale to 10-items. Data fit the Rasch model for the Appearance (X2(80) = 90.9, p = 0.19) and Adverse Effects (X2(20) = 24.5, p = 0.22) scales. All items in each scale had ordered thresholds and good item fit. There was no evidence of differential item function for the Appearance scale by age, gender, language, or type of ear condition. Reliability was high for the Appearance scale, with person separation index (PSI) and Cronbach alpha values with and without extremes ≥0.92. Reliability for the Adverse Effects scale was adequate (i.e., PSI and Cronbach alpha values ≥0.71). Higher scores (liked appearance more) correlated with higher scores (better) on Psychological, Social and School scales. INTERPRETATION: The EAR-Q can be used in those 8-29 years of age to understand the patient perspective in clinical practice and research, and in addition, can be used to benchmark outcomes for ear reconstruction internationally.