Impact of a health literacy sensitive model of care in outpatient nephrology dietetic clinics.

Abstract

Inadequate health literacy in people with chronic kidney disease is associated with poorer disease management and greater complications. Adherence to the renal diet is known to be suboptimal and patient feedback about the renal diet suggests that patients leave nephrology clinics feeling confused. The present study aimed to evaluate the impact of a health literacy sensitive model of care (MOC) in outpatient nephrology dietetic clinics. This quasi-experimental non-randomised pre-post study recruited adults attending three renal dietitian clinics. The revised MOC consisted of a renal diet question prompt sheet, teachback, and plain language materials and instructions. Outcomes assessed included clinical, dietary, patient-reported satisfaction and quality of life. Differences between and within groups were analysed using paired t-tests, independent sample t-tests (or non-parametric equivalent), chi-squared and McNemar's tests. Linear mixed models evaluated change in total diet quality score, fruit, vegetable, protein and dairy intake with time as a fixed effect and a random subject specific effect. Fail to attend rates at the initial appointments were lower in the revised MOC (21.5% vs. 9.1%). The revised MOC was associated with significantly improved fruit (p = 0.03) and vegetable (p = 0.003) intake and an improved proportion with adequate diet quality (p = 0.03). These impacts were of moderate effect size (d = 0.5, 95% confidence interval = 0.0-1.0). The revised MOC was also associated with greater satisfaction at baseline (p = 0.04) and higher acceptability scores for all questions at the review appointments. Quality of life improved clinically but not significantly in the revised MOC (p = 0.92). This low-cost health literacy sensitive intervention is a promising strategy to improve fruit and vegetable intake in adults attending renal dietitian clinics. Further research to determine fidelity of teachback use and cost utility analysis would be beneficial. Larger scale trials powered to detect changes in quality of life would also be informative.