Evidence map›Paper›PMID 38486563›Full record

ArticleMedEdPublish (2016)2021

'Stability' of Assessment: Extending the Utility Equation.

Tarun Sen Gupta, Eugene Wong, Deepak Doshi, Richard Hays

Abstract read
In one paragraph

Article in MedEdPublish (2016), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Tarun Sen GuptaJames Cook University and The Australian College of Rural & Remote Medicine.ORCID https://orcid.org/0000-0001-7698-1413
Eugene WongThe Australian College of Rural & Remote Medicine.
Deepak DoshiThe Australian College of Rural & Remote Medicine.
Richard HaysJames Cook University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article was migrated. The article was marked as recommended. The COVID-19 pandemic has brought many challenges to medical education, necessitating a rapid transition to digital delivery. The widespread move to online exams has introduced novel risks, including the risk of catastrophic IT failure. These are not 'black swan' events - something so unexpected and devastating that we could not anticipate them and prepare accordingly. The phrase 'black elephants', a cross between a black swan and 'the elephant in the room' has been coined to describe these events. Moving to high-stakes online examinations introduces another element that needs to be considered and managed: the 'stability' of the assessment format used. This dimension incorporates notions of 'platform reliability' and 'internal risk management' and can be caused by both unplanned events eg IT failures, and planned events like security breaches Developing approaches to mitigate this new risk suggests another dimension to the well-known assessment 'utility equation': stability of the platform used. This paper explores the concept of stability from the perspectives of educational institutions and candidates and offers some approaches to achieving stability. The delivery of assessment in the digital age, requires the 'utility equation' to be recalibrated and establishment of a new "sweet spot" for each assessment program.

Indexed as

assessmentstabilityutility equation

Identifiers

PMID38486563
PMCPMC10939557

What OpenQuestion holds

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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.