中文版MMAS-8在急性期带状疱疹神经痛患者的信效度检验
史明月 1吕慧 1方丽1
作者信息
摘要
目的 检验中文版8条目Morisky用药依从性量表(MMAS-8)在急性期带状疱疹性神经痛患者中的信效度.方法 采用便利抽样法,对160例急性期带状疱疹性神经痛患者进行问卷调查,评价该量表的信效度.结果 采用临界比值法进行项目分析,量表总得分前27%的高分组和后27%的低分组在8条目上得分差异均有统计学意义(P<0.001);总体Cronbach's α系数为0.783,标准化Cronbach's α为0.808;结构效度(KMO值为0.801,Bartlett's球形检验值为393.895).采用探索性因子分析法共提取2个公共因子,可解释总方差的61.055%;验证性因子分析结果发现,修正模型的卡方自由度比为1.262,拟合指数(GFI)为0.969,调整拟合指数(AGFI)为0.934,比较拟合指数(CFI)为0.989,近似误差均方根(RMSEA)为0.042.结论 中文版MMAS-8具有良好的信效度,可作为急性期带状疱疹性神经痛患者用药依从性的评估工具.
Abstract
Objective To test the reliability and validity of the Chinese version of the 8-item Morisky Medication Adherence Scale(MMAS-8)in patients with acute herpetic zoster neuralgia.Methods 160 patients with acute herpetic zoster neuralgia were investigated with a convenient sampling method to evaluate the reliability and validity of the scale.Results The critical ratio method was used to analyze the items,and it was found that the T-test difference between the top 27%high group and the bottom 27%low group on 8 items was statistically significant(P<0.001).The overall Cronbach'sα coefficient was 0.783,and the standardized Cronbach'sα coefficient was 0.808.Structural validity(KMO value 0.801 and Bartlett's spherical test value 393.895).Two common factors were extracted by exploratory factor analysis,which could explain 61.055%of the total variance.The results of confirmatory factor analysis showed that the Chi-square freedom ratio of the modified model was 1.262,the goodness of fit index(GFI)was 0.969,the adjusted goodness of fit index(AGFI)was 0.934,the comparative goodness of fit index(CFI)was 0.989,and the root mean square error(RMSEA)was 0.042.Conclusion The Chinese version of MMAS-8 has good reliability and validity,and can be used as an evaluation tool for medication compliance in patients with acute herpetic zoster neuralgia.
关键词
8条目Morisky用药依从性量表/急性期带状疱疹性神经痛/用药依从性/信度/效度Key words
8-item Morisky medication compliance scale/Acute herpetic neuralgia/Medication compliance/Reliability/Validity引用本文复制引用
基金项目
浙江省医药卫生科技计划(2021KY351)
出版年
2024
NETL
NSTL
万方数据