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Record W3186500346

Clinical handovers by paramedics in the emergency department: a focused ethnographic study in an urban hospital in Northeastern Ontario

2021· dissertation· en· W3186500346 on OpenAlexaboutno aff
Lorraine Robichaud

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2021
Typedissertation
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEmergency departmentMedical emergencyEthnographyMedicineEmergency medicineGeographyNursingArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Clinical handover is a high-risk communicative process that involves the exchange of
\nclear and concise patient-focused information between healthcare providers during the transfer of
\nprofessional responsibility and accountability for patient care. When a patient is transported to
\nhospital by Emergency Medical Services the trajectory of their care in the emergency department
\nis influenced by the clinical handover given by a paramedic to a registered nurse. A focused
\nethnographic study was conducted to explore the process of Emergency Medical Service clinical
\nhandover within the emergency department of a small urban hospital in Northeastern Ontario
\nfrom the perspective of the paramedic. The findings revealed paramedic handover was
\ninfluenced by the communication context including attitude of attention and assurance, both
\nreflected in the professional dynamic between the paramedic and ED staff; the ambience of the
\nED reflected in the physical layout and activity level of the ED; and the patient acuity reflected
\nin the assigned Canadian Triage Acuity Scale level and frequency of individual visits to the ED.
\nThe study provides evidence that paramedics strive to deliver concise, accurate
\ncommunication of a clinical handover so that ED patients receive safe, competent care and that
\nthere is opportunity to improve on the organizational and cultural practices of clinical handover
\nin the ED.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.279
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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