Health Science Center, Shenzhen University, Shenzhen 518060, Guangdong, China.
Contrast Media Mol Imaging. 2022 Aug 4;2022:8977011. doi: 10.1155/2022/8977011. eCollection 2022.
Recently, the Benefit Finding Scale (BFS) has been translated and culturally adapted for use in China. However, further validation of the instrument is required before it can be used in the management of patients with cervical cancer in China. In this study, we conducted the questionnaire survey and examined its properties. This methodological study was conducted at a tumor hospital located in southwestern China. Patients with cervical cancer who had been reexamined in the outpatient department of the hospital and hospitalized from June to August 2019 were selected. The item analysis, exploratory factor analysis (EFA), and reliability analysis were tested. The relationships between benefit finding and sociodemographic and disease-related variables were analyzed by ANOVA and regression models. A total of 247 patients were assessed (mean age: 48.0 ± 13.3 years). Educational level, self-perceived disease severity, and physical exercise were the predictors of benefit finding. The correlation coefficient between 22 items and their dimensions was the best. EFA analysis supported a five-factor model for structure validity. All Cronbach's alpha for the Chinese version of the BFS (BFS-C) was greater than 0.80. The results demonstrated the good reliability and validity of BFS-C. It appears to be a useful scale to assess experience of benefit finding among patients with cervical cancer in China.
最近，《益处发现量表》（BFS）已被翻译成中文并进行了文化适应性调整，以便在中国使用。然而，在将该工具用于中国宫颈癌患者的管理之前，还需要对其进行进一步验证。在这项研究中，我们进行了问卷调查，并检验了其特性。这是一项在中国西南部一家肿瘤医院进行的方法学研究。该研究选取了 2019 年 6 月至 8 月在医院门诊复查并住院的宫颈癌患者。对项目分析、探索性因子分析（EFA）和可靠性分析进行了测试。通过方差分析和回归模型分析了益处发现与社会人口学和疾病相关变量之间的关系。共评估了 247 名患者（平均年龄：48.0±13.3 岁）。教育程度、自我感知的疾病严重程度和体育锻炼是益处发现的预测因素。22 个项目与它们的维度之间的相关系数最好。EFA 分析支持结构效度的五因素模型。中文版 BFS（BFS-C）的所有 Cronbach's alpha 值均大于 0.80。结果表明 BFS-C 具有良好的信度和效度。它似乎是一种评估中国宫颈癌患者益处发现体验的有用量表。
