ArticleAnnals of transplantation2021
Kidney Transplant Evaluation and Listing: Development and Preliminary Evaluation of Multimedia Education for Patients.
Article in Annals of transplantation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 14 citations in OpenAlex.
- Systematic Review of Patient and Caregiver Involvement in CKD Research.Kidney international reports · 2025Article
- Informing transplant candidate and donor education in living kidney donation: mapping educational needs through a rapid review.BMC nephrology · 2025Review
- Technology-Enabled Remote Patient Monitoring and Education to Improve Kidney Transplant Knowledge, Access, and Post-Transplant Care: A Narrative Review.Current transplantation reports · 2025Article
- Using Community-Based Participatory Research to Create Animated Videos to Attenuate Disparities in Access to Kidney Transplant Information.Progress in transplantation (Aliso Viejo, Calif.) · 2023Article
- Preliminary feasibility of animated video education designed to empower patients' referral to kidney transplantation.Clinical transplantation · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND Patient knowledge gaps about the evaluation and waitlisting process for kidney transplantation lead to delayed and incomplete testing, which compromise transplant access. We aimed to develop and evaluate a novel video education approach to empower patients to proceed with the transplant evaluation and listing process and to increase their knowledge and motivation. MATERIAL AND METHODS We developed 2 theory-informed educational animations about the kidney transplantation evaluation and listing process with input from experts in transplantation and communication, 20 candidates/recipients, 5 caregivers, 1 anthropologist, 3 community advocates, and 36 dialysis or transplant providers. We then conducted an online pre-post study with 28 kidney transplantation candidates to measure the acceptability and feasibility of the 2 videos to improve patients' evaluation and listing knowledge, understanding, and concerns. RESULTS Compared with before intervention, the mean knowledge score increased after intervention by 38% (5.7 to 7.9; P<0.001). Increases in knowledge effect size were large across age group, health literacy, education, technology access, and duration of pretransplant dialysis. The proportion of positive responses increased from before to after animation viewing for understanding the evaluation process (25% to 61%; P=0.002) and waitlist placement (32% to 86%; P<0.001). Concerns about list placement decreased (32% to 7%; P=0.039). After viewing the animations, >90% of responses indicated positive ratings on trusting the information, comfort level with learning, and engagement. CONCLUSIONS In partnership with stakeholders, we developed 2 educational animations about kidney transplant evaluation and listing that were positively received by patients and have the potential to improve patient knowledge and understanding and reduce patient concerns.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.