Evidence map›Paper›PMID 33564560›Full record

ArticleCureus2021

A Simulation-Based Program for Preparedness for COVID-19 at a Pediatric Tertiary Hospital in Saudi Arabia.

Tarek R Hazwani, Zahra Al Hassan, Ahlam Al Zahrani, Ayham Al Badawi

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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 at 3 institutions in 1 country.

Tarek R HazwaniMedical Research, King Abdullah International Medical Research Center, Riyadh, SAU.
Zahra Al HassanNursing, Ministry of National Guard - Health Affairs, Riyadh, SAU.
Ahlam Al ZahraniNursing, Ministry of National Guard - Health Affairs, Riyadh, SAU.
Ayham Al BadawiInfection Prevention and Control, Ministry of National Guard - Health Affairs, Riyadh, SAU.
King Saud bin Abdulaziz University for Health Sciences · SAKing Abdullah International Medical Research Center · SANational Guard Health Affairs · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background COVID-19 has created major challenges for academic education and clinical training, as well as on routine, emergency, and elective patients who have been impacted by the health service's response to COVID-19. Simulation helps recognize and correct both active and latent threats in health institutions. Objectives This study aimed to describe the implementation steps, challenges, and solutions for simulations to make a difference in hospital operational readiness in the response to COVID-19. Methods We conducted a series of in situ simulations in different areas of the hospital to deal with COVID-19 patients. We designed seven scenarios to include different clinical situations of pediatric COVID-19 cases, such as emergency room triage and respiratory support. Results In total, seven simulation-based drills were conducted during March 1-30, 2020, and 89 healthcare professionals participated in these sessions. Many of the revealed latent threats were regarding teamwork, workflows, and adherence to infection control measures. Conclusion We found that in situ simulations helped to identify multiple latent hazard issues. Simulations have a great positive impact on hospital preparedness for the COVID-19 crisis in the pediatric field. Video-recorded simulations method is a good alternative to maintain medical supplies during the COVID-19 crisis.

Indexed as

covid-19crisishealth carepreparednesssimulation

Identifiers

PMID33564560
PMCPMC7863077
OpenAlexW3128623883

What OpenQuestion holds

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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.