James W Varni1, Alan M Delamater2, Korey K Hood3, Jennifer K Raymond4, Nancy T Chang4, Kimberly A Driscoll5, Jenise C Wong6, Joyce P Yi-Frazier7, Ellen K Grishman8, Melissa A Faith8, Sarah D Corathers9, Jessica C Kichler10, Jennifer L Miller11, Elena M Doskey12, Robert W Heffer13, Don P Wilson14. 1. Department of Pediatrics, College of Medicine, and Department of Landscape Architecture and Urban Planning, College of Architecture, Texas A&M University, College Station, TX jvarni@tamu.edu. 2. Mailman Center for Child Development, Department of Pediatrics, University of Miami Miller School of Medicine, Miami, FL. 3. Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. 4. Division of Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, CA. 5. Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Denver, Denver, CO. 6. The Madison Clinic for Pediatric Diabetes and Division of Endocrinology, Department of Pediatrics, University of California, San Francisco, San Francisco, CA. 7. Seattle Children's Research Institute, Seattle, WA. 8. Division of Pediatric Endocrinology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX. 9. Division of Endocrinology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH. 10. Division of Behavioral Medicine and Clinical Psychology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH. 11. Division of Pediatric Endocrinology, Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL. 12. Department of Educational Psychology, Texas A&M University, College Station, TX. 13. Department of Psychological & Brain Sciences, Texas A&M University, College Station, TX. 14. Cook Children's Medical Center, Fort Worth, TX.
Abstract
OBJECTIVE: The objective of the study was to report on the measurement properties of the revised and updated Pediatric Quality of Life Inventory (PedsQL) 3.2 Diabetes Module for children, adolescents, and young adults with type 1 diabetes. RESEARCH DESIGN AND METHODS: The 33-item PedsQL 3.2 Diabetes Module and PedsQL Generic Core Scales were completed in a 10-site national field test study by 656 families of patients ages 2-25 years with type 1 diabetes. RESULTS: The 15-item Diabetes Symptoms Summary Score and 18-item Diabetes Management Summary Score were derived from the factor analysis of the items. The Diabetes Symptoms and Diabetes Management Summary Scores evidenced excellent reliability (patient self-report α = 0.88-0.90; parent proxy report α = 0.89-0.90). The Diabetes Symptoms and Diabetes Management Summary Scores demonstrated construct validity through medium to large effect size correlations with the Generic Core Scales Total Scale Score (r = 0.43-0.67, P < 0.001). HbA1c was significantly correlated with the Diabetes Symptoms and Diabetes Management Summary Scores (r = -0.21 to -0.29, P < 0.001). Minimal clinically important difference scores ranged from 5.05 to 5.55. CONCLUSIONS: The PedsQL 3.2 Diabetes Module Diabetes Symptoms and Diabetes Management Summary Scores demonstrated excellent measurement properties and may be useful as standardized patient-reported outcomes of diabetes symptoms and diabetes management in clinical research, clinical trials, and practice in children, adolescents, and young adults with type 1 diabetes.
OBJECTIVE: The objective of the study was to report on the measurement properties of the revised and updated Pediatric Quality of Life Inventory (PedsQL) 3.2 Diabetes Module for children, adolescents, and young adults with type 1 diabetes. RESEARCH DESIGN AND METHODS: The 33-item PedsQL 3.2 Diabetes Module and PedsQL Generic Core Scales were completed in a 10-site national field test study by 656 families of patients ages 2-25 years with type 1 diabetes. RESULTS: The 15-item Diabetes Symptoms Summary Score and 18-item Diabetes Management Summary Score were derived from the factor analysis of the items. The Diabetes Symptoms and Diabetes Management Summary Scores evidenced excellent reliability (patient self-report α = 0.88-0.90; parent proxy report α = 0.89-0.90). The Diabetes Symptoms and Diabetes Management Summary Scores demonstrated construct validity through medium to large effect size correlations with the Generic Core Scales Total Scale Score (r = 0.43-0.67, P < 0.001). HbA1c was significantly correlated with the Diabetes Symptoms and Diabetes Management Summary Scores (r = -0.21 to -0.29, P < 0.001). Minimal clinically important difference scores ranged from 5.05 to 5.55. CONCLUSIONS: The PedsQL 3.2 Diabetes Module Diabetes Symptoms and Diabetes Management Summary Scores demonstrated excellent measurement properties and may be useful as standardized patient-reported outcomes of diabetes symptoms and diabetes management in clinical research, clinical trials, and practice in children, adolescents, and young adults with type 1 diabetes.
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