Evidence map›Paper›PMID 34908569›Full record

ArticleIndian journal of anaesthesia2021

Effectiveness of virtual training for medical officers and community health officers in the critical care management of COVID-19 patients in the intensive care unit.

Shefali Gautam, Aparna Shukla, Neelkamal Mishra, Monika Kohli, Gyan P Singh

Abstract read
In one paragraph

Article in Indian journal of anaesthesia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Shefali GautamDepartment of Anaesthesiology, King George's Medical University, Lucknow, Uttar Pradesh, India.
Aparna ShuklaDepartment of Anaesthesiology, King George's Medical University, Lucknow, Uttar Pradesh, India.
Neelkamal MishraDepartment of Anaesthesiology, King George's Medical University, Lucknow, Uttar Pradesh, India.
Monika KohliDepartment of Anaesthesiology, King George's Medical University, Lucknow, Uttar Pradesh, India.
Gyan P SinghDepartment of Anaesthesiology, King George's Medical University, Lucknow, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe coronavirus disease -19 has changed various aspects of education and training in all fields, and e-learning has now become the preferred mode of training and teaching. The aim of this study was to assess the impact of online training and to overcome the limitations of e-learning.

methodsA total of 176 medical officers (MOs) and 720 community health officers (CHOs) were trained in four batches by using seven training modules with online videos and lecture series. Each batch received two days of training. A pre-test and post-test were conducted which consisted of 25 multiple-choice questions of 4 marks each. There was no negative marking. Candidates obtaining >80 marks were declared as having passed. The results of the pre-test and post-tests were compared.

resultsThere was remarkable improvement in the knowledge regarding critical care management after virtual training, as evidenced by the test results. None of the MOs scored more than 80% in the pre-test; however, 153 MOs scored more than 80% in the post-test. The average score improved from 47.82 (pre-test) to 89.05 (post-test). The difference was statically significant (

conclusionOnline training is beneficial for many candidates from various locations within a short period. The interactive sessions after training are also helpful, and well-designed pre- and post-tests are adequate for assessment.

Indexed as

COVID-19intensive careonline learning

Identifiers

PMID34908569
PMCPMC8613469

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.