A Cross-sectional Study on the Symptom Burden of Patients With Spinal Tumor: Validation of the Chinese Version of the MD Anderson Symptom InventorydSpine Tumor Module

作者:Xu, Nanfang; Li, Zhehuang; Wei, Feng; Liu, Xiaoguang; Jiang, Liang; Meng, Na; Jiang, Ping; Yu, Miao; Wu, Fengliang; Dang, Lei; Zhou, Hua; Li, Yan; Liu, Zhongjun*
来源:Journal of Pain and Symptom Management, 2017, 53(3): 605-613.
DOI:10.1016/j.jpainsymman.2016.10.360

摘要

Context. Tumors involving the spine are associated with unique symptoms affecting both patient survival and health-related quality of life. Currently, there is no disease-specific instrument in Chinese to assess the symptom burden of these patients. Objectives. The objective of this study was to translate and validate a Chinese version of the M.D. Anderson Symptom Inventory-Spine Tumor Module (MDASI-SP-C) to assess the symptom burden of Chinese-speaking patients with spinal tumors. Methods. MDASI-SP-C was forward-and-backward translated according to standard protocols and administered to patients fulfilling study criteria at a major referral center of spine tumor between November 2014 and September 2015. The generic instruments of Short Form 36 Quality of Life Questionnaire (SF-36), Functional Assessment of Cancer Therapy-General Version (FACT-G), and Karnofsky Performance Scale were used along with MDASI-SP-C. Prevalence and severity distribution of each item were analyzed. Psychometric assessment and hierarchical cluster analysis were performed for the translated instrument. Results. One hundred forty-two patients were enrolled. High interdependency and relatively low intra-cluster distances were identified. Cronbach's alpha of the entire instrument, the symptom severity subscale, and the interference subscale was 0.93, 0.91, and 0.92, respectively. Principal axis factoring resulted in a four-factor solution, which was reduced to a three-factor (general symptoms, spine-specific symptoms, and gastrointestinal symptoms) solution on account of clinical interpretation. Correlation coefficients between MDASI-SP-C items and their corresponding domains in SF-36 and/ or FACT-G were all greater than 0.3. MDASI-SP-C was able to distinguish patients with different Karnofsky Performance Scale levels. Conclusion. MDASI-SP-C demonstrated satisfactory psychometric properties and could be used to better assess the symptom burden of Chinese-speaking patients with spine tumors for improved management of their medical needs.