Evidence map›Paper›PMID 35734382›Full record

ArticleInternational journal of telerehabilitation2022

Supervising Students During a Global Pandemic: Clinical Educators' Perceptions of a Student-Led Telerehabilitation Service During Covid-19.

Megan H Ross, Andrea Whitehead, Lauren Jeffery, Nicole Hartley, Trevor Russell

Open access · diamondAbstract read
In one paragraph

Article in International journal of telerehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Megan H RossRecover Injury Research Centre, The University of Queensland, Brisbane, Australia.
Andrea WhiteheadSchool of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.
Lauren JefferySchool of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.
Nicole HartleyBusiness School, The University of Queensland, Brisbane, Australia.
Trevor RussellRecover Injury Research Centre, The University of Queensland, Brisbane, Australia.
University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scope: In March 2020, COVID-19 restrictions prompted services delivered by student-led clinics in the university sector to transition to telehealth. This provided a unique opportunity to explore the challenges and opportunities faced by clinical educators when supervising students to deliver telehealth. Methodology: Semi-structured interviews were conducted with allied health clinical educators who supervised students on clinical placement who were required to provide services via telehealth. Clinical educators across the disciplines of audiology, occupational therapy, physiotherapy, and speech pathology were asked to reflect on their experiences and perceptions of the rapid transition to a telehealth model for student clinical placements. A content analysis approach was used to analyse qualitative data. Conclusions: From the perspective of clinical educators, student-led telehealth services can effectively meet client needs while achieving student learning outcomes. This study highlights many opportunities for student learning via telehealth in the clinical education environment and the role of the clinical educator in the learning experience.

Indexed as

Allied healthClinical educationCOVID-19TelehealthTelerehabilitation

Identifiers

PMID35734382
PMCPMC9186833
OpenAlexW4281748614

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.