Evidence map›Paper›PMID 32981889›Full record

ReviewJournal of medical imaging and radiation sciences2020

COVID-19 impact on undergraduate teaching: Medical radiation science teaching team experience.

Geoffrey Currie, Johnathan Hewis, Tarni Nelson, Amanda Chandler, Caroline Nabasenja, Kelly Spuur, Kym Barry, Nigel Frame, Andrew Kilgour

Abstract readReview
In one paragraph

Review in Journal of medical imaging and radiation sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

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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

9 authors.

Geoffrey CurrieCharles Sturt University, Wagga Wagga, NSW, Australia. Electronic address: gcurrie@csu.edu.au.
Johnathan HewisCharles Sturt University, Port Macquarie, NSW, Australia.
Tarni NelsonCharles Sturt University, Port Macquarie, NSW, Australia.
Amanda ChandlerCharles Sturt University, Port Macquarie, NSW, Australia.
Caroline NabasenjaCharles Sturt University, Port Macquarie, NSW, Australia.
Kelly SpuurCharles Sturt University, Wagga Wagga, NSW, Australia.
Kym BarryCharles Sturt University, Port Macquarie, NSW, Australia.
Nigel FrameCharles Sturt University, Wagga Wagga, NSW, Australia.
Andrew KilgourCharles Sturt University, Wagga Wagga, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 crisis has caused a number of significant challenges to the higher education sector. Universities worldwide have been forced to rapidly transition to online delivery, working at home, and disruption to research while concurrently facing the longer-term impacts in institution financial reform. Here, the impact of COVID-19 on academic staff in the medical radiation science (MRS) teaching team at Charles Sturt University are explored. While COVID-19 imposes potentially the greatest challenge many of us will experience in our personal and professional lifetimes, it also affords the opportunity to objectively re-evaluate and, where appropriate, re-design learning and teaching in higher education. Technology has allowed rapid assimilation to online learning environments with additional benefits that allow flexible, mobile, agile, sustainable, culturally safe and equitable learning focussed educational environments in the post-COVID-19 "new normal".

Indexed as

FacultyAustraliaCOVID-19Education, DistanceEducation, Medical, UndergraduateHumansRadiologyCOVID19Higher educationMedical radiation scienceUniversity teaching

Identifiers

PMID32981889
PMCPMC7498235

What OpenQuestion holds

Textmetadata
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.