ArticleBMJ open2022
Patient and physician perspectives on treatment burden in end-stage kidney disease: a nominal group technique study.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Trial
- Healthcare workload associated with transition onto kidney replacement therapy: a retrospective cohort study.BMC nephrology · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe treatment workload associated with end-stage kidney disease (ESKD) is high. The treatment burdens experienced by patients with ESKD are not well understood. In this study, we aimed to elucidate the most important areas of treatment burden for discussion in a clinical encounter from the perspectives of patients with ESKD and nephrologists. We sought to explore possible solutions to these high priority treatment burden challenges.
designNominal group technique (NGT) sessions. SETTING AND
participantsThree in-person NGT sessions were conducted with 19 patients with dialysis-dependent ESKD from one tertiary treatment centre (mean age 64 years; range 47-82). All patients were either retired or on a disability pension; 74% perceived moderate or severe treatment burden; and 90% spent more than 11 hours on treatment-related activities per week (range 11-30). One online NGT session was conducted with six nephrologists from two Australian states.
main outcome measuresThe primary outcome was a ranked list of treatment burden priorities. The secondary outcome was potential solutions to these treatment burden challenges.
resultsEvery patient group ranked
conclusionsDiscussing treatment burden in a clinical encounter may lead to a better understanding of patients' capacity to cope with their treatment workload. This could facilitate tailored care, improve health outcomes, treatment sustainability and patients' overall quality of life.
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