Evidence map›Paper›PMID 40656803›Full record

ReviewJNMA; journal of the Nepal Medical Association2024

The Growing Need for Web-Based Simulation in Low- and Middle-Income Countries.

Rakesh Ghimire, Sanjeev Kharel, Subarna Giri, Allan J Hamilton

Abstract readReview
In one paragraph

Review in JNMA; journal of the Nepal Medical Association, 2024. 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.

Rakesh GhimireDepartment of Clinical Pharmacology, Maharajgunj Medical Campus, Maharajgunj, Kathmandu, Nepal.
Sanjeev KharelMaharajgunj Medical Campus, Maharajgunj, Kathmandu, Nepal.
Subarna GiriMaharajgunj Medical Campus, Maharajgunj, Kathmandu, Nepal.
Allan J HamiltonDepartment of Neurosurgery, University of Arizona Health Sciences Center, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulation education is the bridge between learning clinical medicine in the classroom and delivering it at the bedside. As healthcare simulation has matured over the last two decades, it has begun to evolve many of the same methodologies. Rapid technological advancements across the fields of computer science, bioengineering, and curriculum design have helped to provide healthcare that is delivered more efficiently, effectively, and ethically. Web-based simulation programs (Web-SP) are poised to provide an efficient way to deliver asynchronous training in healthcare professionals' education. Web-SPs could also sponsor specialty-specific, web-based fellowships for clinicians of LMICs. The COVID-19 pandemic provided unique insight into the robustness of web-based learning tools that permitted remote learning opportunities. Under similar circumstances, should they arise again, Web-SPs would be a valuable tool for sustaining medical training under conditions where only remote learning may be feasible. Studies indicate that cost-effective simulation training can be delivered to learners in remote, low-resource areas worldwide, including South Asia, where access to such education is limited. We aimed to explore the effectiveness, challenges, and strategies for implementing web-based simulation education in low- and middle-income countries, based on a thorough PubMed search focused on web-based simulation programs in medical education.

Indexed as

COVID-19Developing CountriesEducation, DistanceEducation, MedicalInternetSimulation TrainingHumansPandemicsSARS-CoV-2remote learningsimulationtelesimulationvirtualvirtual patients

Identifiers

PMID40656803
PMCPMC11931330

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.