PURPOSE: The Pediatric Quality of Life assessment (PedsQL™) is the most widely used measure for assessing adolescent health-related quality of life (HRQoL). While youth in residential treatment facilities face many physical and mental health, behavioral, education, and familial challenges that could impact their HRQoL, no research has sought to assess the factor structure of the PedsQL™ among youth receiving residential care. METHODS: High school-aged youth (N = 229) attending a large residential treatment center in Omaha, NE were recruited to complete a data collection packet comprised of various health assessments including the PedsQL. Four competing confirmatory factor analysis models were used to test the hypothesized internal structure of the PedsQL™ 4.0 Teen Report. RESULTS: Models A, B, and C had acceptable CFI (≥.90), TLI (≥.90), and RMSEA (≤.08) fit indicators. However, factor loadings for items 5 and 6 were problematic. After removing the two problematic items, Model D was fit to the data and proved to be the superior of the four models. This model included two first-order factors (physical health problems; school attendance problems) and one second-order factor (psychological health problems). CONCLUSIONS: The findings suggest that researchers and practitioners studying youth in residential settings can reliably use the PedsQL™ to assess their HRQoL.
PURPOSE: The Pediatric Quality of Life assessment (PedsQL™) is the most widely used measure for assessing adolescent health-related quality of life (HRQoL). While youth in residential treatment facilities face many physical and mental health, behavioral, education, and familial challenges that could impact their HRQoL, no research has sought to assess the factor structure of the PedsQL™ among youth receiving residential care. METHODS: High school-aged youth (N = 229) attending a large residential treatment center in Omaha, NE were recruited to complete a data collection packet comprised of various health assessments including the PedsQL. Four competing confirmatory factor analysis models were used to test the hypothesized internal structure of the PedsQL™ 4.0 Teen Report. RESULTS: Models A, B, and C had acceptable CFI (≥.90), TLI (≥.90), and RMSEA (≤.08) fit indicators. However, factor loadings for items 5 and 6 were problematic. After removing the two problematic items, Model D was fit to the data and proved to be the superior of the four models. This model included two first-order factors (physical health problems; school attendance problems) and one second-order factor (psychological health problems). CONCLUSIONS: The findings suggest that researchers and practitioners studying youth in residential settings can reliably use the PedsQL™ to assess their HRQoL.
Authors: Louis S Matza; Andrine R Swensen; Emuella M Flood; Kristina Secnik; Nancy Kline Leidy Journal: Value Health Date: 2004 Jan-Feb Impact factor: 5.725
Authors: James M Perrin; Karen Kuhlthau; Aziz Chughtai; Diane Romm; Barbara S Kirschner; George D Ferry; Stanley A Cohen; Benjamin D Gold; Melvin B Heyman; Robert N Baldassano; Harland S Winter Journal: J Pediatr Gastroenterol Nutr Date: 2008-02 Impact factor: 2.839