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冉孟冬, 刘冰清, 陈龙妹等. EQ-5D和SF-12评价脑卒中患者生命质量的比较[J]. 四川大学学报(医学版), 2015, 46(1): 94-98.
引用本文: 冉孟冬, 刘冰清, 陈龙妹等. EQ-5D和SF-12评价脑卒中患者生命质量的比较[J]. 四川大学学报(医学版), 2015, 46(1): 94-98.
RAN Meng-dong, LIU Bing-qing, CHEN Long-mei. et al. Assessing Quality of Life of Patients with Stroke using EQ-5D and SF-12[J]. Journal of Sichuan University (Medical Sciences), 2015, 46(1): 94-98.
Citation: RAN Meng-dong, LIU Bing-qing, CHEN Long-mei. et al. Assessing Quality of Life of Patients with Stroke using EQ-5D and SF-12[J]. Journal of Sichuan University (Medical Sciences), 2015, 46(1): 94-98.

EQ-5D和SF-12评价脑卒中患者生命质量的比较

Assessing Quality of Life of Patients with Stroke using EQ-5D and SF-12

  • 摘要: 目的 探讨健康调查问卷SF-12及EQ-5D量表评价脑卒中患者生命质量时的差异。方法 通过面对面访谈的方式,用EQ-5D和SF-12量表测评缺血性脑卒中幸存者生命质量。分析EQ-5D不同维度3个水平SF-12生理得分(PCS-12)、心理得分(MCS-12)的差异,SF-12组间EQ-5D指数分数的差异,并分析EQ-5D指数分数、视觉模拟评分VAS分数分别与PCS-12、MCS-12的相关性。结果 PCS-12评分在EQ-5D每个维度的3个水平间均不相同(P<0.0001);除疼痛不舒服维度外,MCS-12在其余各个维度3个水平间均不相同(P<0.05)。EQ-5D指数分数、VAS分数分别在不同PCS-12分数段不同(P<0.05);EQ-5D量表评分健康没问题的人群在不同SF-12分数段比较,未发现不同(P>0.05); EQ-5D指数和VAS分数与PCS-12分数的相关系数分别为0.33(P<0.001)、0.15(P<0.001),EQ-5D指数和VAS分数与MCS-12分数的相关系数分别为0.13(P<0.001)、0.17(P<0.001)。结论 EQ-5D和SF-12量表评价脑卒中患者的生命质量时具有弱相关性,SF-12可通过精细的分类评价患者生命质量,而若同时进行生命质量卫生经济学评价,则EQ-5D更为合适。

     

    Abstract: Objective To compare the results of EQ-5D and SF-12 for assessing health-related quality of life in stroke patients. Methods EQ-5D and SF-12 were administered to 598 ischemic stroke patients through face-to-face interviews. Differences in PCS-12 and MCS-12 scores across different levels of EQ-5D dimensions were tested using analysis of variance (ANOVA). The EQ-5D index and visual analogue scale/score (VAS) scores of respondents were compared between those with higher than and lower than median SF-12 scores using student t-test. Pearson correlations between PCS-12 and EQ-5D scores were tested. Results PCS-12 and MCA-12 scores varied across different levels of EQ-5D dimensional scores, except for pain/discomfort. EQ-5D and VAS scores varied between those with high and low SF-12 scores. No significant differences in EQ-5D index and VAS scores were found in the EQ-5D indicated healthy respondents between those with high and low SF-12 scores (P >0.05). PCS-12 was positively correlated with EQ-5D index and VAS scores, with r=0.15 (P <0.001) and r=0.33 (P <0.001), respectively. MCS-12 was also positively correlated with EQ-5D index and VAS score, with r=0.17 (P <0.001) and r= 0.13 (P <0.001), respectively. Conclusion Both instruments are valid measurements for assessing quality of life. The SF-12 appeared to be more sensitive to differences in health status. EQ-5D is preferable if both quality of life assessment and health economics study are to be conducted.

     

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