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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Measurement invariance of the kidney disease and quality of life instrument (KDQOL-SF) across Veterans and non-Veterans | Saban et al. Health and Quality of Life Outcomes 2010 8 120 http www.hqlo.eom content 8 1 120 HEALTH AND QUALITY of life outcomes RESEARCH Open Access Measurement invariance of the kidney disease and quality of life instrument KDQOL-SF across Veterans and non-Veterans l x zzxvx I c -X -X XX 1 2C X zxz. D Dn ÍT r 3 I Ì zx XX I I D zx zl -X4 l zx n XX I c X XX I I x-x zx 1 5 6 I Ì zx XX I r zx l A I_I X zxxzxr 1 5 7 Karen L Saban Fred B Dryant Domenic J Reda Kevin I Stroupe Denise M Hynes Abstract Background Studies have demonstrated that perceived health-related quality of life HRQOL of patients receiving hemodialysis is significantly impaired. Since HRQOL outcome data are often used to compare groups to determine health care effectiveness it is imperative that measures of HRQOL are valid. However valid HRQOL comparisons between groups can only be made if instrument invariance is demonstrated. The Kidney Disease Quality of LifeShort Form KDQOL-SF is a widely used HRQOL measure for patients with chronic kidney disease CKD however it has not been validated in the Veteran population. Therefore the purpose of this study was to examine the measurement invariance of the KDQOL-SF across Veterans and non-Veterans with CKD. Methods Data for this study were from two large prospective observational studies of patients receiving hemodialysis 1 Veteran End-Stage Renal Disease Study VETERAN N 314 and 2 Dialysis Outcomes and Practice Patterns Study DOPPS N 3 300 . Health-related quality of life was measured with the KDQOL-SF which consists of the SF-36 and the Kidney Disease Component Summary KDCS . Single-group confirmatory factor analysis was used to evaluate the goodness-of-fit of the hypothesized measurement model for responses to the subscales of the KDCS and SF-36 instruments when analyzed together and given acceptable goodness-of-fit in each group multigroup CFA was used to compare the structure of this factor model in the two samples. Pattern of factor loadings configural
