Evidence map›Paper›PMID 32773853›Full record

ArticleIndian journal of anaesthesia2020

Effectiveness of simulation based teaching of ventilatory management among non-anaesthesiology residents to manage COVID 19 pandemic - A Quasi experimental cross sectional pilot study.

Tatikonda Chandra Mouli, Anjani Davuluri, Sana Vijaya, Avala Devi Yamini Priyanka, Sushant Kumar Mishra

Open access · diamondAbstract read
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Article in Indian journal of anaesthesia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 20 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.

Tatikonda Chandra MouliDepartment of Anaesthesiology And Critical Care, GSL Medical College, Rajahmundry, Andhra Pradesh, India.
Anjani DavuluriDepartment of Anaesthesiology And Critical Care, GSL Medical College, Rajahmundry, Andhra Pradesh, India.
Sana VijayaDepartment of General Surgery, GSL Medical College, Rajahmundry, Andhra Pradesh, India.
Avala Devi Yamini PriyankaDepartment of Anaesthesiology And Critical Care, GSL Medical College, Rajahmundry, Andhra Pradesh, India.
Sushant Kumar MishraDepartment of Community Medicine, GSL Medical College, Rajahmundry, Andhra Pradesh, India.
GSL Medical College & General Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsSimulation is one of the important learning tools when it comes to skill acquisition and as a supplemental tool for training in high stake situations like COVID-19. The aim of this study is to meet the global requirements of knowledge on ventilatory management, prepare and to evaluate the effectiveness of the teaching module for non-anesthesiology trainees on COVID-19 patients.

methodsQuasi experimental cross sectional pilot study was conducted with a sample of twenty-six trainees. A teaching module was prepared and validated which consisted of lectures, audio-video sessions, demonstrations with hands-on training, debriefing, analytical-phase and reflection. Pre and Post evaluations from student

resultsPre- and Post-tests had a mean score of 7.42 ± 2.12 and 14.92 ± 2.9 respectively (

conclusionA planned teaching module in ventilation management helps to train non-anaesthesiologists more effectively as a part of COVID-19 preparedness. Simulation with debriefing based training to the medical fraternity is the best alternative in the present pandemic and it will also ensure the safety of health care professionals.

Indexed as

COVID 19feedbackmechanical ventilationpandemictraining support

Identifiers

PMID32773853
PMCPMC7293371
OpenAlexW3028574106

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.