ArticleCureus2021
For Residents, by Residents: Developing a Physician Handoff Tool at a University Affiliated Community Hospital.
Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The 80-hour per week work limit resulted in an increased number of patient handoffs. A satisfactory handoff system should optimize the exchange of vital patient information while concisely minimizing error. This project describes our experience and lessons learned in successfully developing and implementing an Electronic Health Record (EHR)-integrated handoff system based on the I-PASS model. The handoff system, termed Physician Handoff, was refined through end-user feedback. End-users were evaluated on the quality of handoff in the following categories: Illness Severity, Patient Summary, Action List, and Situational Awareness. Resulting survey showed high adoption and satisfaction rate with Physician Handoff. Success can be attributed to interdepartmental collaboration, credentialing the users, and recognizing the importance of end-user feedback.
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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.