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Objective: to evaluate the effect of an educational video on the knowledge, attitude, and practice of self-care with arteriovenous fistula in patients undergoing hemodialysis treatment., Method: randomized controlled clinical trial, with two arms and single-blind. The intervention used an educational video on arteriovenous fistula self-care. The Fistula Self-Care Knowledge, Attitude, and Practice Scale was applied to 27 renal patients on hemodialysis in the control group and 28 in the intervention group at baseline, after seven and fourteen days. The data was analyzed using the Statistical Package for the Social Sciences software, using the chi-square test, Student's t-test, Mann-Whitney test, and Friedman's test with post-hoc analysis for multiple comparisons., Results: there were statistically significant differences in the knowledge and practice of self-care with the fistula at 0, 7 and, 14 days in the intervention (p= 0.004 and p<0.001, respectively) and control groups (p<0.001 for knowledge and practice). Attitude showed a significant difference at follow-up (p<0.001), but the post-hoc analysis did not confirm the significance obtained., Conclusion: patients' knowledge and practice showed significant increases at follow-up in the control and intervention groups, while the increase in attitude was not significant in either group. Clinical trial, registration number: U1111-1241-6730.

Objectives: to assess risk factors for excess fluid volume in hemodialysis patients., Methods: a retrospective case-control study was conducted. A total of 392 patients (196 cases and 196 controls) from two hemodialysis centers were included. Sociodemographic data and 23 risk factors for excess fluid volume were assessed using a data collection form. Data were analyzed using a multivariate logistic regression model., Results: the insufficient knowledge (OR=2.06), excessive fluid intake (OR=2.33), inadequate fluid removal during hemodialysis (OR=2.62) and excessive sodium intake (OR=1.91) risk factors may increase the chance of occurrence of excess fluid volume in hemodialysis patients by approximately two times. Education level (OR=0.95) and age (OR=0.97) are protective factors for excessive fluid volume., Conclusions: knowing these risk factors may help nurses with accurate and rapid diagnostic inference of the risk of excessive fluid volume.

This study analyzed the accuracy of clinical indicators of ineffective health management in hemodialysis patients. A diagnostic accuracy study was performed in 200 chronic kidney disease patients undergoing hemodialysis during the first half of 2015. Measures of sensitivity and specificity were calculated using latent class analysis. Ineffective health management was present in 66.28% of patients. Accurate clinical indicators included expressed nonadherence to treatment, daily life choices ineffective to achieve health goals, expression of difficulty with prescribed regimens, inappropriate use of medicines, lack of expression of willingness to control the disease, irregular attendance of dialysis sessions, and infection. Hemodialysis may trigger a set of clinical indicators that predict the presence of ineffective health management. This knowledge provides evidence to clinical practices for hemodialysis patients and contributes to the best clinical performance of nurse practitioners.

Objective: To analyze the content of the nursing diagnosis Ineffective Health Management in hemodialysis patients., Method: The Nursing Diagnoses Validation Model by Lopes, Silva and Auraújo was used in this research. A semi-structured questionnaire and evaluated the definition, location, defining characteristics, and related factors of the diagnosis Ineffective Health Management was answered by 22 experts in nursing diagnosis. The analysis was conducted from August 2014 to January 2015., Results: Experts considered the proposed definition and the current location in the taxonomy II by the NANDA-I, Domain 1 Health Promotion, Class 2 Health Control, adequate to the diagnosis. The adequacy level adopted at 85% or p > 0.05 were above 10 defining characteristics and 24 related factors. Experts also suggested that one defining characteristic should become a related factor and that three factors should turn into defining characteristics., Conclusion: A new proposal was developed for the diagnosis under study after the analysis of experts.