Evidence map›Paper›PMID 22983784›Full record

ArticleBMJ open2012

A metric-based analysis of structure and content of telephone consultations of final-year medical students in a high-fidelity emergency medicine simulation.

Patrick Henn, David Power, Simon D Smith, Theresa Power, Helen Hynes, Robert Gaffney, John D McAdoo

Abstract read
In one paragraph

Article in BMJ open, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Patrick HennSchool of Medicine, University College Cork, Cork, Republic of Ireland.
David Power
Simon D Smith
Theresa Power
Helen Hynes
Robert Gaffney
John D McAdoo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn this study we aimed to analyse the structure and content of telephone consultations of final-year medical students in a high-fidelity emergency medicine simulation. The purpose was to identify any areas of deficiency within structure and content in the effective transfer of clinical information via the telephone of final-year medical students.

designAn educational study.

settingSimulation centre in a medical school.

participants113 final-year medical students. PRIMARY AND SECONDARY OUTCOMES: The primary outcome was to analyse the structure and content of telephone consultations of final-year medical students in a high-fidelity emergency medicine simulation. The secondary outcome was to identify any areas of deficiency within structure and content in the effective transfer of clinical information via the telephone of final-year medical students.

resultsDuring phone calls to a senior colleague 30% of students did not positively identify themselves, 29% did not identify their role, 32% did not positively identify the recipient of the phone call, 59% failed to positively identify the patient, 49% did not read back the recommendations of their senior colleague and 97% did not write down the recommendations of their senior colleague.

conclusionsWe identified a deficiency in our students skills to communicate relevant information via the telephone, particularly failure to repeat back and write down instructions. We suggest that this reflects a paucity of opportunities to practice this skill in context during the undergraduate years. The assumption that this skill will be acquired following qualification constitutes a latent error within the healthcare system. The function of undergraduate medical education is to produce graduates who are fit for purpose at the point of graduation.

Identifiers

PMID22983784
PMCPMC3467639

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Registered trials

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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.