Results of a novel screening tool measuring dietary sodium knowledge in patients with chronic kidney disease.

BACKGROUND: Reducing dietary sodium has potential to benefit patients with chronic kidney disease (CKD). Little research is available defining dietary sodium knowledge gaps in patients with pre-dialysis CKD. We designed a brief screening tool to rapidly identify patient knowledge gaps related to dietary sodium for patients with CKD not yet on dialysis. METHODS: A Short Sodium Knowledge Survey (SSKS) was developed and administered to patients with pre-dialysis CKD. We also asked patients if they received counseling on dietary sodium reduction and about recommended intake limits. We performed logistic regression to examine the association between sodium knowledge and patient characteristics. Characteristics of patients who answered all SSKS questions correctly were compared to those who did not. RESULTS: One-hundred fifty-five patients were surveyed. The mean (SD) age was 56.6 (15.1) years, 84 (54%) were men, and 119 (77%) were white. Sixty-seven patients (43.2%) correctly identified their daily intake sodium limit. Fifty-eight (37.4%) were unable to answer all survey questions correctly. In analysis adjusted for age, sex, race, education, health literacy, CKD stage, self-reported hypertension and attendance in a kidney education class, women and patients of non-white race had lower odds of correctly answering survey questions (0.36 [0.16,0.81]; p = 0.01 women versus men and 0.33 [0.14,0.76]; p = 0.01 non-white versus white, respectively). CONCLUSIONS: Our survey provides a mechanism to quickly identify dietary sodium knowledge gaps in patients with CKD. Women and patients of non-white race may have knowledge barriers impeding adherence to sodium reduction advice.

Pilot study of a physician-delivered education tool to increase patient knowledge about CKD.

BACKGROUND: Limited research exists on physician-delivered education interventions. We examined the feasibility and impact of an educational tool on facilitating physician-patient kidney disease communication. STUDY DESIGN: Pilot feasibility clinical trial with a historical control to examine effect size on patient knowledge and structured questions to elicit physician and patient feedback. SETTING & PARTICIPANTS: Adults with chronic kidney disease (CKD) stages 1-5, seen in nephrology clinic. INTERVENTION: 1-page educational worksheet, reviewed by physicians with patients. OUTCOMES: Kidney knowledge between patient groups and provider/patient feedback. MEASUREMENTS: Patient kidney knowledge was measured using a previously validated questionnaire compared between patients receiving the intervention (April to October 2010) and a historical cohort (April to October 2009). Provider input was obtained using structured interviews. Patient input was obtained through survey questions. Patient characteristics were abstracted from the medical record. RESULTS: 556 patients were included, with 401 patients in the historical cohort and 155 receiving the intervention. Mean age was 57 ± 16 (SD) years, with 53% men, 81% whites, and 78% with CKD stages 3-5. Compared with the historical cohort, patients receiving the intervention had higher adjusted odds of knowing they had CKD (adjusted OR, 2.20; 95% CI, 1.16-4.17; P = 0.02), knowing their kidney function (adjusted OR, 2.25; 95% CI, 1.27-3.97; P = 0.005), and knowing their stage of CKD (adjusted OR, 3.22; 95% CI, 1.49-6.92; P = 0.003). Physicians found the intervention tool easy and feasible to integrate into practice and 98% of patients who received the intervention recommended it for future use. LIMITATIONS: Study design did not randomly assign patients for comparison and enrollment was performed in clinics at one center. CONCLUSIONS: In this pilot study, a physician-delivered education intervention was feasible to use in practice and was associated with higher patient kidney disease knowledge. Further examination of physician-delivered education interventions for increasing patient disease understanding should be tested through randomized trials.

Physical activity patterns in chronic hemodialysis patients: comparison of dialysis and nondialysis days.

OBJECTIVE: To determine physical activity patterns in chronic hemodialysis patients with a specific emphasis on the difference between dialysis and nondialysis days. Design A cross-sectional single-center study. SETTING: Vanderbilt University Outpatient Dialysis Unit. PATIENTS: Twenty current chronic hemodialysis patients: 10 male, 10 female; 15 black, 5 white; mean age, 50.1 +/- 9.9 years; height, 164.5 +/- 10.9 cm; weight, 82.5 +/- 15.4 kg; length on dialysis, 57.3 +/- 45.3 months. METHODS: Minute-by-minute physical activity was assessed over a 7-day period using a triaxial accelerometer, which consists of raw numbers or counts calculated by the 3 axes of the accelerometer (PA counts). PA counts were extrapolated on a daily and hourly basis. Physical functioning tests included: sit-to-stand, 6-minute walk, and 1-repetition maximal leg press exercise. Laboratory values for serum concentrations of albumin, prealbumin, C-reactive protein, and cholesterol were also collected. MAIN OUTCOME MEASURE: PA counts. RESULTS: Total PA counts were significantly lower on dialysis days when compared with nondialysis days (128,279 +/- 74,009 versus 168,744 +/- 95,168, respectively, P = .025). The average PA counts during the 4-hour dialysis time period were significantly lower on dialysis days when compared with nondialysis days (3,086 +/- 3,749 versus 11,070 +/- 7,695, respectively, P = .001). At postdialysis hours 1 and 2, PA counts on dialysis days were significantly higher than on nondialysis days (11,410 +/- 5,340 versus 9,082 +/- 6,646, P = .008, and 14,048 +/- 9,728 versus 8,662 +/- 6,433, P = .016, respectively). By postdialysis hour 4, PA counts on dialysis days had significantly decreased when compared with nondialysis days (6,068 +/- 6,268 versus 10,512 +/- 7,420 PA counts, P = .01, respectively). From postdialysis hours 5 to 20, there was no significant difference in PA counts between dialysis and nondialysis days. CONCLUSION: This study shows that physical activity is lower on dialysis days when compared with nondialysis days, and this decrease is caused by the lack of activity during the 4-hour hemodialysis procedure. New behavior modification strategies involving physical activity, both during hemodialysis and on nondialysis days, must be examined in this patient population.