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Self-Cannulation for Haemodialysis: Patient Attributes,Clinical Correlates and Self-Cannulation Predilection Models
Authors:Anuradha Jayanti  Philip Foden  Alison Wearden  Julie Morris  Paul Brenchley  Sandip Mitra
Institution:1Department of Nephrology, Central Manchester Hospitals NHS Trust, Manchester, United Kingdom;2Department of Biostatistics, University of Manchester, Manchester, United Kingdom;3Department of Psychology, University of Manchester, Manchester, United Kingdom Investigators in the BASIC-HHD study group is provided in the Acknowledgments;University of Louisville, UNITED STATES
Abstract:DesignIn this multicentre study, 508 of 535 patients from predialysis (Group A: n = 222), in-centre (Group B: n = 213), and home HD (Group C: n = 100) responded to a questionnaire with 3 self-cannulation questions. Simultaneously, data on clinical, cognitive and psychosocial variables were ascertained. The primary outcome measure was ‘perceived ability to self-cannulate AV access’. Predictive models were developed using logistic regression analysis.Results36.6% of predialysis patients (A) and 29.1% of the ‘in-centre’ haemodialysis patients (B) felt able to consider SC for HD. Technical-skills related apprehension was highest in Group B (14.4%) patients. Response to routine venepuncture and the types of SC concerns were significant predictors of perceived ability to self-cannulate. There was no significant difference in concern for pain across the groups. In multivariable regression analysis, age, education level, 3MS score, hypoalbuminemia in Groups B & C and additionally, attitude to routine phlebotomy and the nature of specific concern for self-cannulation in Groups A, B and C, are significant predictors of SC preference. The unadjusted c-statistics of models 1 (derived from Group A and validated on A) and 2 (derived from B+C and validated on B), are 0.76(95% CI 0.69, 0.83) and 0.80 (95% CI 0.74, 0.87) respectively.ConclusionsThere is high prevalence of perceived ability to self-cannulate. Modifiable SC concerns exist in ESRD. The use of predictive models to objectively define and target education and training strategies could potentially impact on HD self-management and future uptake of home HD.
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