ArticleBone marrow transplantation2016
Development, preliminary usability and accuracy testing of the EBMT 'eGVHD App' to support GvHD assessment according to NIH criteria-a proof of concept.
Article in Bone marrow transplantation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Human-centered design and maternity care: is this a possible interplay?-a systematic review.BMC pregnancy and childbirth · 2025Pooled it
- The eGVHD App has the potential to improve the accuracy of graft-versus-host disease assessment: a multicenter randomized controlled trial.Haematologica · 2018Trial
- The EBMT-ELN working group recommendations on the prophylaxis and treatment of GvHD: a change-control analysis.Bone marrow transplantation · 2017Trial
- Article
- Modern-Era Challenges in the Clinical Management of Graft-Versus-Host Disease.Advances in experimental medicine and biology · 2025Review
- Methods used to evaluate usability of mobile clinical decision support systems for healthcare emergencies: a systematic review and qualitative synthesis.JAMIA open · 2023Review
- GVHD relapse-free survival after peripheral blood hematopoietic cell transplantation for hematologic malignancies.Blood cell therapy · 2023Article
- Utility of eGVHD App for bedside GVHD assessment in a high-volume BMT center.Blood cell therapy · 2023Article
- Expanding Personalized, Data-Driven Dermatology: Leveraging Digital Health Technology and Machine Learning to Improve Patient Outcomes.JID innovations : skin science from molecules to population health · 2022Review
- Methods to Assess Disease Activity and Severity in Cutaneous Chronic Graft-versus-Host Disease: A Critical Literature Review.Transplantation and cellular therapy · 2021Review
- Baseline Photos and Confident Annotation Improve Automated Detection of Cutaneous Graft-Versus-Host Disease.Clinical hematology international · 2021Article
- National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-versus-Host Disease: IIa. The 2020 Clinical Implementation and Early Diagnosis Working Group Report.Transplantation and cellular therapy · 2021Article
- Challenges in Conducting Studies in Chronic Graft-Clinical hematology international · 2019Review
- EBMT-NIH-CIBMTR Task Force position statement on standardized terminology & guidance for graft-versus-host disease assessment.Bone marrow transplantation · 2018Article
- eGVHD App: a new tool to improve graft-Haematologica · 2018Article
- Design Thinking in Health Care.Preventing chronic disease · 2018Review
- Accuracy and usability of the eGVHD app in assessing the severity of graft-versus-host disease at the 2017 EBMT annual congress.Bone marrow transplantation · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The EBMT Complications and Quality of Life Working Party has developed a computer-based algorithm, the 'eGVHD App', using a user-centered design process. Accuracy was tested using a quasi-experimental crossover design with four expert-reviewed case vignettes in a convenience sample of 28 clinical professionals. Perceived usefulness was evaluated by the technology acceptance model (TAM) and User satisfaction by the Post-Study System Usability Questionnaire (PSSUQ). User experience was positive, with a median of 6 TAM points (interquartile range: 1) and beneficial median total, and subscale PSSUQ scores. The initial standard practice assessment of the vignettes yielded 65% correct results for diagnosis and 45% for scoring. The 'eGVHD App' significantly increased diagnostic and scoring accuracy to 93% (+28%) and 88% (+43%), respectively (both P<0.05). The same trend was observed in the repeated analysis of case 2: accuracy improved by using the App (+31% for diagnosis and +39% for scoring), whereas performance tended to decrease once the App was taken away. The 'eGVHD App' could dramatically improve the quality of care and research as it increased the performance of the whole user group by about 30% at the first assessment and showed a trend for improvement of individual performance on repeated case evaluation.
Indexed as
Identifiers
27042834What OpenQuestion holds
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.