摘要
目的:验证基于《国际功能、残疾和健康分类》康复组合(international classification of functioning,disability and health rehabilitation set)的功能评定工具在老年失能评估中的区分度及信度。方法:全国15家养老机构的1610例老人参与本研究。以基于ICF康复组合的功能评定工具对老人进行失能评估,以数字化评定量表(0—10分)评估条目失能程度。以分割点的临界值分析量表的区分度,以条目与总分相关性及量表内部一致性分析量表的信度。结果:以样本数量的27%作为分割点,量表高分组与低分组的临界值(t值)均大于3.0(P<0.05)。量表除b134睡眠和b280痛感外,条目与总分的相关系数在0.566—0.914,均达到标准(P<0.05)。失能评估量表的内部一致性α系数为0.965,b134睡眠和b280痛感条目删除后的α值高于0.965。结论:基于ICF康复组合的失能评定工具与数字评定量表联合在老年失能评定中有良好的区分度和内部一致性,条目b134睡眠与b280痛感同质性不良。
Objective:To investigate the discrimination and reliability of functioning assessing tool based on ICF rehabilitation set in the assessment of aging disability.Method:Totally 1610 elderly people from 15 nursing homes nationwide participated in the study.The function of the elderly was assessed by the tool base on ICF rehabilitation combined with numerical rating scale from 0 to 10.The discrimination of the items and reliability of the scale were analyzed.Result:Taking 27%of the sample size as the segmentation point,the threshold values(t values)of the high score group and the low score group of the scale were both greater than 3.0(P<0.05).Except the items b134 sleeping function and b280 pain sensation function,the correlation coefficient between the items and the total score was between 0.566 and 0.914,which reached the standard(P<0.05).The Cronbachαof the scale was 0.965,and Cronbachαvalue was higher than 0.965 after deletion of the item b134 sleeping function and b280 pain sensation function.Conclusion:The functioning assessment tool based on ICF rehabilitation set combined with numerical rating scale has good discrimination and reliability in the assessment of aging disability,and items b134 sleeping function and b280 pain sensation function are not good in homogeneity.
作者
刘守国
金娟
张霞
严娟
叶梦秋
赵元萍
谢红
励建安
LIU Shouguo;JIN Juan;ZHANG Xia(The First Affiliated Hospital with Nanjing Medicine University,210029)
出处
《中国康复医学杂志》
CAS
CSCD
北大核心
2020年第9期1044-1048,1054,共6页
Chinese Journal of Rehabilitation Medicine
基金
北京市社会科学基金项目(15SHA006)
中国社会保障学会医保专业委员会委托课题(Y2017003)。
