简版儿科症状筛查工具的汉化及在4～7岁癌症患儿中的信效度检验
Translation of Mini Symptom Screening in pediatrics tool and its validation in cancer children aged 4～7
黄佳颖 1张静 1梁丽婵 2孟江南 3叶红雨 2王为杰 1史蕾1
作者信息
- 1. 南方医科大学 护理学院,广东 广州 510515
- 2. 南方医科大学珠江医院 儿科中心 小儿血液科,广东 广州 510280
- 3. 南方医科大学南方医院 儿科,广东 广州 510515
- 折叠
摘要
目的 汉化简版儿科症状筛查工具,并在 4～7岁癌症患儿中检验信效度.方法 获得原作者授权后,采用 Brislin翻译模型通过翻译、回译、跨文化调适和预调查形成中文版简版儿科症状筛查工具.2022 年 12 月—2023 年 5月,采用便利抽样法,选取广州市 2 所三级甲等医院住院的 210 例 4～7岁癌症患儿进行问卷调查,以检验中文版量表的信效度.结果 中文版简版儿科症状筛查工具为单维度量表,包括 15 个常见症状条目和 1 个开放性问题,量表的条目水平内容效度指数及平均量表水平内容效度指数均为 1.000.验证性因子分析显示模型拟合结果良好.总量表Cronbach α系数为 0.843,折半系数为 0.829.结论 中文版简版儿科症状筛查工具在 4～7 岁癌症患儿中具有较好的信效度,可作为评估该年龄癌症患儿症状困扰程度的工具.
Abstract
Objective To translate the Mini Symptom Screening in Pediatrics Tool(Mini-SSPedi)from English to Chinese,and to test its reliability and validity in cancer children aged 4～7.Methods With the authorization of the original authors,the Chinese version of Mini-SSPedi was formed by using Brislin translation model through translation,back-translation,cross-cultural adaptation and pilot test.From December 2022 to May 2023,210 children with cancer aged 4～7 from 2 tertiary grade-A hospitals in Guangzhou were selected by convenience sampling for questionnaire survey to test the reliability and validity.Results The Chinese version of Mini-SSPedi was a unidimensional scale,including 15 items of common symptoms and one open question.The item-level content validity index and averaging scale-level content validity index of the Chinese version of Mini-SSPedi were 1.000.Confirmatory factor analysis showed that the model fitted well.The Cronbach's α coefficient of the Chinese version of Mini-SSPedi was 0.843,and the split-half reliability 0.829.Conclusion The Chinese version of Mini-SSPedi has good reliability and validity in cancer children,and can be used as a tool to assess symptom distress in cancer children aged 4～7.
关键词
自我报告/症状困扰/简版儿科症状筛查工具/癌症Key words
self-report/symptom disturbance/Mini Symptom Screening in Pediatrics Tool/cancer引用本文复制引用
基金项目
广州市基础研究计划基础与应用基础研究项目(一般项目)(202201011758)
出版年
2024
国家科技期刊平台
NSTL
万方数据