ArticleTransplant international : official journal of the European Society for Organ Transplantation2023
Telehealth Experience Among Liver and Kidney Transplant Recipients: A Mixed Methods Study.
Article in Transplant international : official journal of the European Society for Organ Transplantation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Effectiveness of mHealth Interventions to Improve Follow-Up and Management Among Solid Organ Transplant Recipients: Systematic Review and Meta-Analysis.JMIR mHealth and uHealth · 2025Pooled it
- Measuring What Matters: Days Alive and Out of Hospital and Health Care Utilization in Kidney Transplantation.Kidney360 · 2026Article
- Factors Influencing Telehealth Satisfaction Among Liver and Kidney Transplant Recipients.Clinical nursing research · 2025Article
- Establishment of emerging practices and research priorities for telerehabilitation in solid organ transplantation: meeting report and narrative literature review.Frontiers in rehabilitation sciences · 2025Article
- The role of patient-reported outcomes in a patient-centered care model for managing chronic liver diseases.Clinical liver diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Telehealth has become widely available to solid organ transplant (SOT) recipients during the COVID-19 pandemic. While evidence suggests that telehealth serves as an acceptable alternative for most SOT recipients, their satisfaction and its context remain unclear. This study used a mixed methods approach to investigate the perspectives of SOT recipients (i.e., liver, kidney, and simultaneous liver-kidney) on the benefits and disadvantages of telehealth. A total of 252 adult SOT recipients completed an online survey that quantitatively assessed telehealth experience and satisfaction. Fifteen of them further shared their perspectives by participating in either a focus group or individual interview. Approximately 70% of online survey participants had previously used telehealth for their transplant care. The quantitative data documented that, while recipients were mostly satisfied with telehealth, especially with its effectiveness and convenience, they were less satisfied with the reliability of navigating the telehealth system. The qualitative data further showed that telehealth could be less effective for SOT recipients who perceived themselves as clinically and/or socially vulnerable, needed urgent care, and were concerned about privacy. These findings suggest that the plan for using telehealth to provide transplant care should prioritize personalization, considering unique needs and preferences of each SOT recipient.
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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.