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Development and preliminary validation of a self-rating anxiety inventory for maintenance haemodialysis patients
Yun Yan Wang1, Jia Chuan Yan2, Chun Yin Li3
1Department of Nephrology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Abstract:
This study aimed to develop a self-rating anxiety inventory for maintenance haemodialysis patients (AI-MHD) and perform preliminary validation to provide a simple, effective, and highly specific practical tool for effective anxiety disorder screening in haemodialysis patients. Based on existing general anxiety disorder screening scales and common symptoms of MHD patients as a reference and after expert discussions and preliminary validation at a single dialysis centre, a self-rating AI-MHD containing 12 items was developed. Subsequently, the AI-MHD was applied in 4 dialysis centres and compared with GAD-7 and HADS-A. Further multicentre validation showed that Cronbach's alpha for the scale was 0.918; the AI-MHD score not only significantly differed between the anxiety disorders group and the non-anxiety disorders group (p<0.001) but also correlated with GAD-7 and HADS-A scores (p<0.001). In addition, the Kaiser-Meyer-Olkin (KMO) score was 0.847, and Bartlett's test of sphericity was significant (x2=849.45, p<0.001). The anxiety disorder detection rate was 93%, and the specificity was 90%, which were significantly better than the screening results using the GAD-7 and HADS-A scales in the same groups. Although there were limitations, such as the sample size and regionality, the AI-MHD showed good efficacy and reliability in rating anxiety in MHD patients.
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