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Record W4298343970 · doi:10.11124/jbies-21-00481

Telemedicine and medical education: a mixed methods systematic review protocol

2022· article· en· W4298343970 on OpenAlexafffund
Bryn Hoffman, Heather Braund, Sandra McKeown, Nancy Dalgarno, Christina Godfrey, Ramana Appireddy

Bibliographic record

VenueJBI Evidence Synthesis · 2022
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsQueen's University
FundersCanadian Institutes of Health Research
KeywordsTelemedicineMedical educationPsychological interventionSystematic reviewMedicineMEDLINEHealth careCochrane LibraryProtocol (science)NursingAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this review is to synthesize and appraise the available research on educational strategies required to prepare medical learners for engaging in telemedicine and virtual care. INTRODUCTION: The COVID-19 pandemic has resulted in significant uptake of virtual care and telemedicine, highlighting the growing need for health care organizations and medical institutions to support physicians and learners navigating this new model of health care delivery, clinical learning, and assessment. Developing a better understanding of how best to prepare medical trainees across the continuum of undergraduate, postgraduate, and continuing professional development to engage in virtual care is critical in ensuring our continued ability to meet educational mandates and provide ambulatory care that is safe, efficient, and timely. INCLUSION CRITERIA: Eligible studies will include medical learners who receive education on how to deliver telemedicine. The quantitative component of the review will compare learners exposed to educational interventions with learners not exposed to an intervention, or to a different intervention. Outcomes will include competencies in telemedicine delivery, knowledge, and behaviors. The qualitative component of the review will explore learners' experiences with the delivery of educational strategies that address telemedicine. METHODS: Embase, MEDLINE, Evidence-Based Medicine Reviews: Cochrane Central Register of Controlled Trials, Web of Science Core Collection, Education Source, and ProQuest Dissertations and Theses Global will be searched to identify published and unpublished studies. No date or language restrictions will be applied. This systematic review will be conducted in accordance with the JBI methodology for mixed methods systematic reviews using a convergent segregated approach. Titles and abstracts of potential studies will be screened, and potentially relevant studies will undergo full-text review for eligibility and critical appraisal of the study methodology. Data will be extracted from those studies selected for inclusion. Findings will be described relating to the effectiveness of educational curricula, initiatives, and best practices in trainee engagement in telemedicine and virtual care. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42021264332.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.318
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.461
Teacher spread0.430 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2022
Admission routes2
Has abstractyes

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