OBJECTIVES: To determine the magnitude of clinically significant differences in domain scores for a quality-of-life questionnaire specific to head and neck cancer; and to demonstrate a clinically relevant method of presenting head and neck cancer-specific quality-of-life data using cutoff scores and clinical anchors. DESIGN: Anchor-based and distribution-based techniques for determining clinically significant differences in health-related quality-of-life scores were used. SETTING: University-based tertiary care hospital. PATIENTS: A total of 421 patients with head and neck cancer enrolled in a longitudinal outcomes project. MAIN OUTCOME MEASURES: The Head and Neck Cancer Inventory; clinical anchor health status in the domains of speech, eating, and social disruption; and distribution-based clinically significant score differences. RESULTS: Clinical anchor health states representing incremental levels of dysfunction were significantly correlated with domain scores for eating, speech, and social disruption. The anchor-based clinically important difference magnitudes were consistent with the values obtained using distribution-based techniques. For mean domain scores (minimum, 0; maximum, 100), differences of approximately 4, 10, and 14 or greater represented small, intermediate, and large clinically significant differences, respectively. Stratifying mean domain scores into low (0-30), intermediate (31-69), and high (70-100) categories allowed presentation of the health-related quality-of-life data in a clinically relevant format. CONCLUSIONS: This study provides benchmarks for small, intermediate, and large clinically significant changes in scores and demonstrates the presentation of health-related quality-of-life data in a clinically useful format.
OBJECTIVES: To determine the magnitude of clinically significant differences in domain scores for a quality-of-life questionnaire specific to head and neck cancer; and to demonstrate a clinically relevant method of presenting head and neck cancer-specific quality-of-life data using cutoff scores and clinical anchors. DESIGN: Anchor-based and distribution-based techniques for determining clinically significant differences in health-related quality-of-life scores were used. SETTING: University-based tertiary care hospital. PATIENTS: A total of 421 patients with head and neck cancer enrolled in a longitudinal outcomes project. MAIN OUTCOME MEASURES: The Head and Neck Cancer Inventory; clinical anchor health status in the domains of speech, eating, and social disruption; and distribution-based clinically significant score differences. RESULTS: Clinical anchor health states representing incremental levels of dysfunction were significantly correlated with domain scores for eating, speech, and social disruption. The anchor-based clinically important difference magnitudes were consistent with the values obtained using distribution-based techniques. For mean domain scores (minimum, 0; maximum, 100), differences of approximately 4, 10, and 14 or greater represented small, intermediate, and large clinically significant differences, respectively. Stratifying mean domain scores into low (0-30), intermediate (31-69), and high (70-100) categories allowed presentation of the health-related quality-of-life data in a clinically relevant format. CONCLUSIONS: This study provides benchmarks for small, intermediate, and large clinically significant changes in scores and demonstrates the presentation of health-related quality-of-life data in a clinically useful format.
Authors: Agnes M Hurtuk; Anna Marcinow; Amit Agrawal; Matthew Old; Theodoros N Teknos; Enver Ozer Journal: Otolaryngol Head Neck Surg Date: 2011-08-31 Impact factor: 3.497
Authors: Ken Dornfeld; Shane Hopkins; Joel Simmons; Douglas R Spitz; Yusuf Menda; Michael Graham; Russell Smith; Gerry Funk; Lucy Karnell; Michael Karnell; Maude Dornfeld; Min Yao; John Buatti Journal: Int J Radiat Oncol Biol Phys Date: 2007-12-31 Impact factor: 7.038
Authors: Kasim Durmus; Hafiz S Patwa; Hamza N Gokozan; Cuneyt Kucur; Theodoros N Teknos; Amit Agrawal; Matthew O Old; Enver Ozer Journal: Laryngoscope Date: 2014-05-02 Impact factor: 3.325
Authors: Peter T Dziegielewski; Theodoros N Teknos; Kasim Durmus; Matthew Old; Amit Agrawal; Kiran Kakarala; Anna Marcinow; Enver Ozer Journal: JAMA Otolaryngol Head Neck Surg Date: 2013-11 Impact factor: 6.223