Evidence map›Paper›PMID 32895609›Full record

ArticleClinical simulation in nursing2020

Predicting Health Care Workers' Tolerance of Personal Protective Equipment: An Observational Simulation Study.

Francisco Martín-Rodríguez, Ancor Sanz-García, Raúl López-Izquierdo, Juan F Delgado Benito, José L Martín-Conty, Miguel A Castro Villamor, Guillermo J Ortega

Abstract read
In one paragraph

Article in Clinical simulation in nursing, 2020. 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
–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

2 citing papers in PubMed.

  1. 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

7 authors.

Francisco Martín-RodríguezAdvanced Clinical Simulation Center, Faculty of Medicine, Valladolid University, 47005 Valladolid, Spain.
Ancor Sanz-GarcíaData Analysis Unit, Health Research Institute, Hospital de la Princesa, 28006 Madrid, Spain.
Raúl López-IzquierdoEmergency Department, Hospital Universitario Rio Hortega, 47012 Valladolid, Spain.
Juan F Delgado BenitoAdvanced Life Support Unit, Emergency Medical Services, 47007 Valladolid, Spain.
José L Martín-ContyFaculty of Health Sciences, Universidad de Castilla la Mancha, 45600 Talavera de la Reina, Toledo, Spain.
Miguel A Castro VillamorAdvanced Clinical Simulation Center, Faculty of Medicine, Valladolid University, 47005 Valladolid, Spain.
Guillermo J OrtegaData Analysis Unit, Health Research Institute, Hospital de la Princesa, 28006 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore recently, due to the coronavirus disease 2019 pandemic, health care workers have to deal with clinical situations wearing personal protective equipment (PPE); however, there is a question of whether everybody will tolerate PPE equally. The main objective of this study was to develop a risk model to predict whether health care workers will tolerate wearing PPE, C category, 4B/5B/6B type, during a 30-minute simulation.

methodsA nonexperimental simulation study was conducted at the Advanced Simulation Center, Faculty of Medicine, Valladolid University (Spain) from April 3rd to 28th, 2017. Health care students and professionals were equipped with PPE and performed a 30-minute simulation. Anthropometric, physiological, and analytical variables and anxiety levels were measured before and after simulation. A scoring model was constructed.

resultsNinety-six volunteers participated in the study. Half the sample presented metabolic fatigue in the 20 minutes after finishing the simulation. The predictive model included female sex, height, muscle and bone mass, and moderate level of physical activity. The validity of the main model using all the variables presented an area under the curve of 0.86 (95% confidence interval: 0.786-0.935), and the validity of the model had an area under the curve of 0.725 (95% confidence interval: 0.559-0.89).

conclusionsDecision-making in biohazard incidents is a challenge for emergency team leaders. Knowledge of health care workers' physiological tolerance of PPE could improve their performance.

Indexed as

accident preventionCOVID-19occupational riskspersonal protective equipmentsafetysimulation

Identifiers

PMID32895609
PMCPMC7467653

What OpenQuestion holds

Textmetadata
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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.