The Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong, China.
The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Nurs Open. 2021 May;8(3):1098-1107. doi: 10.1002/nop2.720. Epub 2020 Dec 2.
Cancer patients have long been found to have multiple types of unmet needs during their survivorship. Composite psychological instruments are essential for measuring the unmet needs of cancer patients. The objective of this study was to evaluate the psychometric properties of the Short-Form Survivor Unmet Needs Survey (SF-SUNS)-Chinese version.
A cross-sectional survey.
The Chinese version was developed using the standard Functional Assessment of Chronic Illness Therapy (FACIT) translation methodology and 428 Chinese cancer patients participated in the survey between 2016-2017. Inter-rater reliability, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were calculated.
Confirmatory factor analysis supported the four-factor structure with good model fit. Cronbach's alpha of 0.894 for the overall scale and intra-class correlation coefficients (0.869-0.884) indicated that reliability was satisfactory. The EFA extracted four factors with eigenvalues greater than 1 and these factors explained 50.68% of the total variance. The Chinese version of SF-SUNS was confirmed to have the potential to become a useful and valid instrument. It could contribute to the assessment of unmet needs among Chinese cancer patients with accuracy and with respect to Chinese culture and context. This measurement of unmet needs may help promote cancer management and nursing quality. Clinical nurses and researchers could use the simple assessment tool to target the individual needs of Chinese cancer patients and then provide more personalized care efficiently.
癌症患者在生存期间被发现存在多种未满足的需求。综合心理工具对于测量癌症患者的未满足需求至关重要。本研究旨在评估简化版生存者未满足需求调查（SF-SUNS）中文版的心理测量特性。
一项横断面调查。
采用标准的慢性疾病治疗功能评估（FACIT）翻译方法开发中文版，并于 2016 年至 2017 年期间对 428 名中国癌症患者进行了调查。计算了评分者间信度、探索性因素分析（EFA）和验证性因素分析（CFA）。
验证性因素分析支持四因素结构，具有良好的模型拟合度。总体量表的克朗巴赫α系数为 0.894，组内相关系数（0.869-0.884）表明信度令人满意。EFA 提取了四个特征值大于 1 的因子，这些因子解释了总方差的 50.68%。SF-SUNS 中文版被证实具有成为一种有用和有效的工具的潜力。它可以帮助评估中国癌症患者的未满足需求，并且考虑到中国的文化和背景。这种未满足需求的测量可能有助于促进癌症管理和护理质量。临床护士和研究人员可以使用简单的评估工具来确定中国癌症患者的个体需求，然后更有效地提供个性化的护理。
