BACKGROUND: Symptom management is an essential component of cancer treatment for patients of every culture and nationality. Symptom assessment depends on subjective reporting, mandating linguistically equivalent versions of symptom assessment scales. Because disease-related and treatment-related symptoms most often occur in clusters, there is a global need for a standardized multiple-symptom assessment tool. METHODS: The authors sought to validate the Chinese version of the M. D. Anderson Symptom Inventory (MDASI-C) by enrolling patients who had received various diagnoses of and different types of treatment for cancer (n = 249) in a cross-sectional symptom study conducted at an urban cancer center in China. RESULTS: Factor analysis identified 2 underlying constructs, general symptoms and gastrointestinal symptoms, which had Cronbach alpha coefficients of 0.86 and 0.84, respectively. These results were consistent with English- and Japanese-language MDASI validation studies. Known-group validity was supported by the MDASI-C's ability to detect significant differences in symptom and interference levels according to Eastern Cooperative Oncology Group performance status (ECOG PS; P < 0.001) and chemotherapy status (P < 0.05). Fifty-five percent of the study cohort had > or = 1 symptom that was considered severe (score > or = 7 on a 0-10 scale). ECOG PS was strongly associated with symptom burden (total interference score: R(2) = 0.26; P < 0.001). Fatigue, sadness, drowsiness, and lack of appetite accounted for most of the variability in the total interference score (R(2) = 0.49; P < 0.05). CONCLUSIONS: The authors demonstrated that the MDASI-C is a valid, reliable, and concise tool for measuring symptom severity and interference with functioning in Chinese cancer patients.
BACKGROUND: Symptom management is an essential component of cancer treatment for patients of every culture and nationality. Symptom assessment depends on subjective reporting, mandating linguistically equivalent versions of symptom assessment scales. Because disease-related and treatment-related symptoms most often occur in clusters, there is a global need for a standardized multiple-symptom assessment tool. METHODS: The authors sought to validate the Chinese version of the M. D. Anderson Symptom Inventory (MDASI-C) by enrolling patients who had received various diagnoses of and different types of treatment for cancer (n = 249) in a cross-sectional symptom study conducted at an urban cancer center in China. RESULTS: Factor analysis identified 2 underlying constructs, general symptoms and gastrointestinal symptoms, which had Cronbach alpha coefficients of 0.86 and 0.84, respectively. These results were consistent with English- and Japanese-language MDASI validation studies. Known-group validity was supported by the MDASI-C's ability to detect significant differences in symptom and interference levels according to Eastern Cooperative Oncology Group performance status (ECOG PS; P < 0.001) and chemotherapy status (P < 0.05). Fifty-five percent of the study cohort had > or = 1 symptom that was considered severe (score > or = 7 on a 0-10 scale). ECOG PS was strongly associated with symptom burden (total interference score: R(2) = 0.26; P < 0.001). Fatigue, sadness, drowsiness, and lack of appetite accounted for most of the variability in the total interference score (R(2) = 0.49; P < 0.05). CONCLUSIONS: The authors demonstrated that the MDASI-C is a valid, reliable, and concise tool for measuring symptom severity and interference with functioning in Chinese cancerpatients.
Authors: Tito R Mendoza; Xin Shelley Wang; Charles Lu; Guadalupe R Palos; Zhongxing Liao; Gary M Mobley; Shitij Kapoor; Charles S Cleeland Journal: Oncologist Date: 2011-02-01
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Authors: Xin Shelley Wang; Charles S Cleeland; Tito R Mendoza; Young Ho Yun; Ying Wang; Toru Okuyama; Valen E Johnson Journal: J Natl Cancer Inst Date: 2010-03-26 Impact factor: 13.506
Authors: Desiree Jones; Elisabeth G Vichaya; Charles S Cleeland; Lorenzo Cohen; Seema M Thekdi; Xin Shelley Wang; Michael J Fisch Journal: J Oncol Pract Date: 2013-11-26 Impact factor: 3.840