Evidence map›Paper›PMID 37153090›Full record

ArticleFrontiers in medicine2023

Rating and ranking preparedness characteristics important for veterinary workplace clinical training: a novel application of pairwise comparisons and the Elo algorithm.

Jennifer Routh, Sharmini Julita Paramasivam, Peter Cockcroft, Sarah Wood, John Remnant, Cornélie Westermann, Alison Reid, Patricia Pawson, Sheena Warman, Vishna Devi Nadarajah and 1 more

Abstract read
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In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

11 authors.

Jennifer RouthSchool of Veterinary Medicine, University of Surrey, Guildford, United Kingdom.
Sharmini Julita ParamasivamSchool of Veterinary Medicine, University of Surrey, Guildford, United Kingdom.
Peter CockcroftSchool of Veterinary Medicine, University of Surrey, Guildford, United Kingdom.
Sarah WoodBristol Veterinary School, University of Bristol, Langford, United Kingdom.
John RemnantSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington, United Kingdom.
Cornélie WestermannFaculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands.
Alison ReidSchool of Veterinary Science, University of Liverpool, Neston, United Kingdom.
Patricia PawsonSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, United Kingdom.
Sheena WarmanBristol Veterinary School, University of Bristol, Langford, United Kingdom.
Vishna Devi NadarajahDivision of Human Biology, School of Medicine and IMU Centre for Education, International Medical University, Kuala Lumpur, Malaysia.
Kamalan JeevaratnamSchool of Veterinary Medicine, University of Surrey, Guildford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitatively eliciting perspectives about a large number of similar entities (such as a list of competences) is a challenge for researchers in health professions education (HPE). Traditional survey methods may include using Likert items. However, a Likert item approach that generates

Indexed as

comparisonLikertmethodspreparednessquestionnairerankingratingsurvey

Identifiers

PMID37153090
PMCPMC10160665

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.