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Health literacy (HL) refers to a person’s ability to engage effectively with health information and services. We aimed to describe the HL of people receiving dialysis and the factors associated with it. A cross-sectional design was used, with demographic and clinical data as predictors. Participants were people receiving dialysis at a metropolitan health service in Melbourne, Australia. Health consumers with conditions not requiring dialysis were included for comparison. The Health Literacy Questionnaire, Kidney Disease Quality of Life–36, and Depression Anxiety Stress Scales–21 were administered. Participants (Mage = 68.2 ± 13.7 years;n = 57 males) were 76 people receiving hemodialysis within a dialysis unit, 16 people receiving home peritoneal dialysis, and 8 people receiving home hemodialysis. Participants scored higher on the HL domains social support for health and engagement with health care providers but lower on active management of health than the comparison group (n = 813). Hierarchical cluster analysis revealed 2 clusters within the dialysis sample representing higher (n = 43) and lower (n = 57) profiles of HL. The higher HL cluster reported better quality of life across 4 of 5 domains of the Kidney Disease Quality of Life–36, fewer symptoms of depression and anxiety, and higher serum albumin (mean difference = 2.06 g/L,p = .04) than the lower HL cluster. These results show that people receiving dialysis feel better supported and informed about their health than other health consumers but are less active in managing it. Higher HL is associated with better mental health and quality of life. Identifying HL characteristics may help direct specific interventions to improve patient education and support. [ABSTRACT FROM PUBLISHER]

PurposeMethodsResultsConclusionsPost-operative vision impairment is common among patients who have undergone cataract surgery in low-resource settings, impacting quality of clinical outcomes and patient experience. This prospective, multisite, single-armed, pragmatic validation study aimed to assess whether receiving tailored recommendations via the free Better Operative Outcomes Software Tool (BOOST) app improved surgical outcomes, as quantified by post-operative unaided distance visual acuity (UVA) measured 1–3 days after surgery.During the baseline data collection round, surgeons in low and middle-income countries recorded clinical characteristics of 60 consecutive cataract cases in BOOST. Additional data on the causes of poor outcomes from 20 consecutive cases with post-operative UVA of <6/60 (4–12 weeks post-surgery) were entered to automatically generate tailored recommendations for improvement, before 60 additional consecutive cases were recorded during the follow-up study round. Average UVA was compared between cases recorded in the baseline study round and those recorded during follow-up.Among 4,233 cataract surgeries performed by 41 surgeons in 18 countries, only 2,002 (47.3%) had post-operative UVA 6/12 or better. Among the 14 surgeons (34.1%) who completed both rounds of the study (1,680 cases total), there was no clinically significant improvement in post-operative average UVA (logMAR units ±SD) between baseline (0.50 ± 0.37) and follow-up (0.47 ± 0.36) rounds (mean improvement 0.03, p = 0.486).Receiving BOOST-generated recommendations did not result in improved UVA beyond what could be expected from prospective monitoring of surgical outcomes alone. Additional research is required to assess whether targeted support to implement changes could potentiate the uptake of app-generated recommendations and improve outcomes. [ABSTRACT FROM AUTHOR]