Evidence map›Paper›PMID 34104036›Full record

ArticleAdvances in medical education and practice2021

Simulated Patient Environment: A Training Tool for Healthcare Professionals in COVID-19 Era.

Mangayarkarasi V Babu, Mohan Kumar Arumugam, Dhrubajyoti J Debnath

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Clinical simulation in health education: a systematic review.Investigacion y educacion en enfermeria · 2023
    Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
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  9. Healthcare workers' experiences in caring for critically ill COVID-19 patients at a tertiary hospital in Malawi.Malawi medical journal : the journal of Medical Association of Malawi · 2022
    Article
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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

3 authors.

Mangayarkarasi V BabuDepartment of Microbiology.ORCID 0000-0003-1724-8312
Mohan Kumar ArumugamDepartment of Microbiology.
Dhrubajyoti J DebnathDepartment of Community and Family Medicine, All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh, India.ORCID 0000-0002-0324-329X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn in-situ simulation model with a simulated patient environment is a training tool that was implemented for the front-line workers managing COVID-19 respiratory infection outbreak in a hospital of National Importance, situated in southern part of India. The objective of this training tool was to improve the preparedness of health care workers and the control measures to manage any respiratory infection outbreaks. Also, to provide good patient care and patient safety during the sudden outbreak of SARS-CoV-2, the pathogen causing pandemic respiratory infection outbreak worldwide.

methodsSimulated patient environment is a kind of functional mock drill that was applied to assess and improve the readiness of the healthcare workers of the hospital to identify the patient at the screening area, guide the patient for investigation and inform the public health system during an outbreak of an infection. The faculty of the Department of Microbiology, Community and Family Medicine, and General Medicine were the educators and demonstrators. Fifty healthcare workers from All India Institute of Medical Sciences (AIIMS), Mangalagiri, Ministry of Health and Family Welfare (MOHFW), Government of India, such as doctors, epidemiologists, nurses, laboratory technicians, laboratory attendants, members of infection control team and biomedical waste management team participated in this program.

resultsStatistical analysis of the results with pre-intervention and post-intervention assessments and feedback from the participants was done at the end of the program. The difference between the mean of pre-intervention and post-intervention scores in doctors, nurses, and other health care professionals was statistically very highly significant (P-value <0.001).

conclusionThe training method was the simulation of management of pandemic respiratory infection outbreaks in the most realistic manner possible to test or evaluate the capability of more than one function in the context of an emergency event. An in-situ simulation is an effective method that is close to real-life scenario, to measure the readiness and effectiveness of an emergency response plan. Hence, it is a useful tool to assess disaster preparedness against any type of outbreak.

Indexed as

COVID-19health care professionalsinfection controlpandemicspatient care

Identifiers

PMID34104036
PMCPMC8179730

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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.