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Eszter Panna Vamos, Gabor Csepanyi, Monika Zambo, Miklos Zsolt Molnar, Janos Rethelyi, Agnes Kovacs, Adrienn Marton, Zsofia Nemeth, Marta Novak, Istvan Mucsi, Sociodemographic factors and patient perceptions are associated with attitudes to kidney transplantation among haemodialysis patients, Nephrology Dialysis Transplantation, Volume 24, Issue 2, February 2009, Pages 653–660, https://doi.org/10.1093/ndt/gfn660
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Abstract
Background. Treatment decisions made by patients with chronic kidney disease are crucial in the renal transplantation process. These decisions are influenced, amongst other factors, by attitudes towards different treatment options, which are modulated by knowledge and perceptions about the disease and its treatment and many other subjective factors. Here we study the attitude of dialysis patients to renal transplantation and the association of sociodemographic characteristics, patient perceptions and experiences with this attitude.
Methods. In a cross-sectional study, all patients from eight dialysis units in Budapest, Hungary, who were on haemodialysis for at least 3 months were approached to complete a self-administered questionnaire. Data collected from 459 patients younger than 70 years were analysed in this manuscript.
Results. Mean age of the study population was 53 ± 12 years, 54% were male and the prevalence of diabetes was 22%. Patients with positive attitude to renal transplantation were younger (51 ± 11 versus 58 ± 11 years), better educated, more likely to be employed (11% versus 4%) and had prior transplantation (15% versus 7%)( P < 0.05 for all). In a multivariate model, negative patient perceptions about transplantation, negative expectations about health outcomes after transplantation and the presence of fears about the transplant surgery were associated, in addition to incre- asing age, with unwillingness to consider transplantation.
Conclusions. Negative attitudes to renal transplantation are associated with potentially modifiable factors. Based on this we suggest that it would be necessary to develop standardized, comprehensible patient information systems and personalized decision support to facilitate modality selection and to enable patients to make fully informed treatment decisions.
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