ArticleJournal of hospital medicine2014
Using standardized videos to validate a measure of handoff quality: the handoff mini-clinical examination exercise.
Article in Journal of hospital medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Feedback and Assessment Tools for Handoffs: A Systematic Review.Journal of graduate medical education · 2017Pooled it
- Validating an assessment and feedback instrument for use in dietetics education: construct validity of the mini clinical evaluation exercise (Mini-CEX).BMC medical education · 2025Article
- The development and use of a pharmacist-specific Mini-CEX for postgraduate year trainees in Taiwan.BMC medical education · 2019Article
- Leveraging Telemedicine Infrastructure to Monitor Quality of Operating Room to Intensive Care Unit Handoffs.Academic medicine : journal of the Association of American Medical Colleges · 2017Article
- For the General Internist: A Summary of Key Innovations in Medical Education.Journal of general internal medicine · 2016Review
- Measuring cognitive load: mixed results from a handover simulation for medical students.Perspectives on medical education · 2016Article
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.
Funding
Abstract
backgroundThe most recent iteration of the Accreditation Council for Graduate Medical Education duty-hour regulations includes language mandating handoff education for trainees and assessments of handoff quality by residency training programs. However, there is a lack of validated tools for the assessment of handoff quality and for use in trainee education.
methodsFaculty at 2 sites (University of Chicago and Yale University) were recruited to participate in a workshop on handoff education. Video-based scenarios were developed to represent varying levels of performance in the domains of communication, professionalism, and setting. Videos were shown in a random order, and faculty were instructed to use the Handoff Mini-Clinical Examination Exercise (CEX), a paper-based instrument with qualitative anchors defining each level of performance, to rate the handoffs.
resultsForty-seven faculty members (14 at site 1; 33 at site 2) participated in the validation workshops, providing a total of 172 observations (of a possible 191 [96%]). Reliability testing revealed a Cronbach α of 0.81 and Kendall coefficient of concordance of 0.59 (>0.6 = high reliability). Faculty were able to reliably distinguish the different levels of performance in each domain in a statistically significant fashion (ie, unsatisfactory professionalism mean 2.42 vs satisfactory professionalism 4.81 vs superior professionalism 6.01, P < 0.001 trend test). Two-way analysis of variance revealed no evidence of rater bias.
conclusionsUsing standardized video-based scenarios highlighting differing levels of performance, we were able to demonstrate evidence that the Handoff Mini-CEX can draw reliable and valid conclusions regarding handoff performance. Future work to validate the tool in clinical settings is warranted.
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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.