Wang Hai-Ying, Hang Kwok Stephen Wai, Liu Xian-Liang, Wang Tao, Bressington Daniel, Shen Yushan, Zhang Qing, Huang Hou-Qiang, Tan Jing-Yu
School of Nursing (Brisbane Centre), Faculty of Health, Charles Darwin University, Brisbane, QLD, Australia.
School of Nursing, Faculty of Health, Charles Darwin University, Ellengowan Drive, Casuarina, NT, Australia.
Asia Pac J Oncol Nurs. 2023 Jun 5;10(8):100255. doi: 10.1016/j.apjon.2023.100255. eCollection 2023 Aug.
To validate the Chinese version of the Quality of Life (QoL) Patient/Cancer Survivor Version (QOLCSV-C) for measuring QoL in Chinese cancer survivors.
The study followed a seven-step research practice guideline for cross-cultural research instrument validation study including translation, adaptation, and psychometric assessment. A forward- and backward-translation procedure was approached, followed by cultural adaptation and acceptability assessment. For its psychometric properties, its concurrent validity with the Functional Assessment of Cancer Therapy-General (FACT-G) was examined with correlation analysis. The internal consistency (Cronbach's alpha) and item-total and item-subtotal correlations of the QOLCSV-C were obtained. Factor analyses were conducted. Floor and ceiling effects and the discriminant performance of the selected variables on QOLCSV-C score were also examined.
The QOLCSV-C was translated from the 41-item QOLCSV with four domains: psychological, physical, spiritual and social well-being. The content validity was excellent (CVI = 1.00). Time spent to complete the QOLCSV-C was about 10 min. The QOLCSV-C was found easy to use, appropriate in length, and reflective of their QoL. The strong correlation between QOLCSV-C and FACT-G indicates a satisfactory concurrent validity (Spearman's rho = 0.765, < 0.001, = 205). The overall internal consistency of the QOLCSV-C (Cronbach's alpha = 0.888) and the split-half reliability (Spearman-Brown = 0.918) were excellent. Most of the items show moderate to strong item-total correlation. The exploratory factor analysis revealed a four-factor solution, and confirmatory factor analysis has a satisfactory model fit with indicative items. None of the total scores of QOLCSV-C reveal the floor or ceiling effect. For discriminant performance, variables demonstrating significant between-group differences include sleep quality, pain, fatigue, nausea, physical health, and financial burden.
The QOLCSV-C is a reliable and valid instrument for measuring the QoL in Chinese cancer survivors. Future studies can explore the factor structure, gender universal or specific items, and significant predictors of QoL of cancer survivors in different cultures.
验证中文版生活质量（QoL）患者/癌症幸存者版（QOLCSV-C）在评估中国癌症幸存者生活质量方面的有效性。
本研究遵循跨文化研究工具验证研究的七步研究实践指南，包括翻译、改编和心理测量评估。采用了正向和反向翻译程序，随后进行文化适应和可接受性评估。对于其心理测量特性，通过相关分析检验了其与癌症治疗功能评估通用版（FACT-G）的同时效度。获得了QOLCSV-C的内部一致性（克朗巴哈系数）以及项目总分和项目子总分相关性。进行了因子分析。还检查了地板效应和天花板效应以及所选变量对QOLCSV-C得分的判别性能。
QOLCSV-C由包含心理、身体、精神和社会福祉四个领域的41个项目的QOLCSV翻译而来。内容效度极佳（CVI = 1.00）。完成QOLCSV-C所需时间约为10分钟。发现QOLCSV-C易于使用，长度合适，能够反映他们的生活质量。QOLCSV-C与FACT-G之间的强相关性表明同时效度令人满意（斯皮尔曼相关系数 = 0.765，P < 0.001，n = 205）。QOLCSV-C的总体内部一致性（克朗巴哈系数 = 0.888）和分半信度（斯皮尔曼-布朗系数 = 0.918）极佳。大多数项目显示出中等至强的项目总分相关性。探索性因子分析揭示了一个四因子解决方案，验证性因子分析显示模型与指示性项目拟合良好。QOLCSV-C的总分均未显示出地板效应或天花板效应。对于判别性能，显示出显著组间差异的变量包括睡眠质量、疼痛、疲劳、恶心、身体健康和经济负担。
QOLCSV-C是评估中国癌症幸存者生活质量的可靠且有效的工具。未来的研究可以探索因子结构、不同文化中癌症幸存者生活质量的性别通用或特定项目以及重要预测因素。
