Evidence map›Paper›PMID 32293717›Full record

SynthesisThe Cochrane database of systematic reviews2020

Personal protective equipment for preventing highly infectious diseases due to exposure to contaminated body fluids in healthcare staff.

Jos H Verbeek, Blair Rajamaki, Sharea Ijaz, Riitta Sauni, Elaine Toomey, Bronagh Blackwood, Christina Tikka, Jani H Ruotsalainen, F Selcen Kilinc Balci

Registry-linked trialOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05630391 (Approach to the Coronavirus With Patient With High-Fidelity Simulation Training), which is not on this map. Cited by 201 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
201citing papers in PubMed, 14 pooled it
69.6field-weighted citation impact, top 1% 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.

NCT05630391 nacompletednot on this mapstarted 2022, after this paper: background citation

Approach to the Coronavirus With Patient With High-Fidelity Simulation Training: A Mixed Method Study

TypeinterventionalSponsorSakarya UniversityRan2022 to 2022Enrolled52ConditionsSimulation of Physical Illness, SatisfactionArmsHigh-Fidelity Simulation Manikin, Education
3 · Its place in the literature

Who cites it

201 citing papers in PubMed, 14 syntheses or guidelines pooled it, 670 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Guideline
  15. Trial
  16. Trial
  17. Trial
  18. Trial
  19. Trial
  20. Article

141 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 8 institutions in 4 countries.

Jos H VerbeekAcademic Medical Center, University of Amsterdam, Cochrane Work Review Group, Amsterdam, Netherlands, 1105AZ.
Blair RajamakiUniversity of Eastern Finland, School of Pharmacy, Kuopio, Finland.
Sharea IjazUniversity of Bristol, Population Health Sciences, Bristol Medical School, Bristol, UK, BS1 2NT.
Riitta SauniUniversity of Tampere, Tampere, Finland.
Elaine ToomeyGalway, Ireland.
Bronagh BlackwoodQueen's University Belfast, Centre for Experimental Medicine, School of Medicine, Dentistry and Biomedical Sciences, Wellcome-Wolfson Building, 97 Lisburn Road, Belfast, Northern Ireland, UK, BT9 7LB.
Christina TikkaFinnish Institute of Occupational Health, TYÖTERVEYSLAITOS, Finland, FI-70032.
Jani H RuotsalainenFinnish Medicines Agency, Assessment of Pharmacotherapies, Microkatu 1, Kuopio, Finland, FI-70210.
F Selcen Kilinc BalciCenters for Disease Control and Prevention (CDC), National Personal Protective Technology Laboratory (NPPTL), National Institute for Occupational Safety and Health (NIOSH), 626 Cochrans Mill Road, Pittsburgh, PA, USA, 15236.
Finnish Institute of Occupational Health · FIFinnish Medicines Agency Fimea · FINational Institute for Occupational Safety and Health · USQueen's University Belfast · GBTampere University · FIUniversity of Amsterdam · NLUniversity of Bristol · GBUniversity of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn epidemics of highly infectious diseases, such as Ebola, severe acute respiratory syndrome (SARS), or coronavirus (COVID-19), healthcare workers (HCW) are at much greater risk of infection than the general population, due to their contact with patients' contaminated body fluids. Personal protective equipment (PPE) can reduce the risk by covering exposed body parts. It is unclear which type of PPE protects best, what is the best way to put PPE on (i.e. donning) or to remove PPE (i.e. doffing), and how to train HCWs to use PPE as instructed.

objectivesTo evaluate which type of full-body PPE and which method of donning or doffing PPE have the least risk of contamination or infection for HCW, and which training methods increase compliance with PPE protocols. SEARCH

methodsWe searched CENTRAL, MEDLINE, Embase and CINAHL to 20 March 2020. SELECTION CRITERIA: We included all controlled studies that evaluated the effect of full-body PPE used by HCW exposed to highly infectious diseases, on the risk of infection, contamination, or noncompliance with protocols. We also included studies that compared the effect of various ways of donning or doffing PPE, and the effects of training on the same outcomes. DATA COLLECTION AND ANALYSIS: Two review authors independently selected studies, extracted data and assessed the risk of bias in included trials. We conducted random-effects meta-analyses were appropriate. MAIN

resultsEarlier versions of this review were published in 2016 and 2019. In this update, we included 24 studies with 2278 participants, of which 14 were randomised controlled trials (RCT), one was a quasi-RCT and nine had a non-randomised design. Eight studies compared types of PPE. Six studies evaluated adapted PPE. Eight studies compared donning and doffing processes and three studies evaluated types of training. Eighteen studies used simulated exposure with fluorescent markers or harmless microbes. In simulation studies, median contamination rates were 25% for the intervention and 67% for the control groups. Evidence for all outcomes is of very low certainty unless otherwise stated because it is based on one or two studies, the indirectness of the evidence in simulation studies and because of risk of bias. Types of PPE The use of a powered, air-purifying respirator with coverall may protect against the risk of contamination better than a N95 mask and gown (risk ratio (RR) 0.27, 95% confidence interval (CI) 0.17 to 0.43) but was more difficult to don (non-compliance: RR 7.5, 95% CI 1.81 to 31.1). In one RCT (59 participants), people with a long gown had less contamination than those with a coverall, and coveralls were more difficult to doff (low-certainty evidence). Gowns may protect better against contamination than aprons (small patches: mean difference (MD) -10.28, 95% CI -14.77 to -5.79). PPE made of more breathable material may lead to a similar number of spots on the trunk (MD 1.60, 95% CI -0.15 to 3.35) compared to more water-repellent material but may have greater user satisfaction (MD -0.46, 95% CI -0.84 to -0.08, scale of 1 to 5). Modified PPE versus standard PPE The following modifications to PPE design may lead to less contamination compared to standard PPE: sealed gown and glove combination (RR 0.27, 95% CI 0.09 to 0.78), a better fitting gown around the neck, wrists and hands (RR 0.08, 95% CI 0.01 to 0.55), a better cover of the gown-wrist interface (RR 0.45, 95% CI 0.26 to 0.78, low-certainty evidence), added tabs to grab to facilitate doffing of masks (RR 0.33, 95% CI 0.14 to 0.80) or gloves (RR 0.22, 95% CI 0.15 to 0.31). Donning and doffing Using Centers for Disease Control and Prevention (CDC) recommendations for doffing may lead to less contamination compared to no guidance (small patches: MD -5.44, 95% CI -7.43 to -3.45). One-step removal of gloves and gown may lead to less bacterial contamination (RR 0.20, 95% CI 0.05 to 0.77) but not to less fluorescent contamination (RR 0.98, 95% CI 0.75 to 1.28) than separate removal. Double-gloving may lead to less viral or bacterial contamination compared to single gloving (RR 0.34, 95% CI 0.17 to 0.66) but not to less fluorescent contamination (RR 0.98, 95% CI 0.75 to 1.28). Additional spoken instruction may lead to fewer errors in doffing (MD -0.9, 95% CI -1.4 to -0.4) and to fewer contamination spots (MD -5, 95% CI -8.08 to -1.92). Extra sanitation of gloves before doffing with quaternary ammonium or bleach may decrease contamination, but not alcohol-based hand rub. Training The use of additional computer simulation may lead to fewer errors in doffing (MD -1.2, 95% CI -1.6 to -0.7). A video lecture on donning PPE may lead to better skills scores (MD 30.70, 95% CI 20.14 to 41.26) than a traditional lecture. Face-to-face instruction may reduce noncompliance with doffing guidance more (odds ratio 0.45, 95% CI 0.21 to 0.98) than providing folders or videos only. AUTHORS'

conclusionsWe found low- to very low-certainty evidence that covering more parts of the body leads to better protection but usually comes at the cost of more difficult donning or doffing and less user comfort, and may therefore even lead to more contamination. More breathable types of PPE may lead to similar contamination but may have greater user satisfaction. Modifications to PPE design, such as tabs to grab, may decrease the risk of contamination. For donning and doffing procedures, following CDC doffing guidance, a one-step glove and gown removal, double-gloving, spoken instructions during doffing, and using glove disinfection may reduce contamination and increase compliance. Face-to-face training in PPE use may reduce errors more than folder-based training. We still need RCTs of training with long-term follow-up. We need simulation studies with more participants to find out which combinations of PPE and which doffing procedure protects best. Consensus on simulation of exposure and assessment of outcome is urgently needed. We also need more real-life evidence. Therefore, the use of PPE of HCW exposed to highly infectious diseases should be registered and the HCW should be prospectively followed for their risk of infection.

Indexed as

BetacoronavirusHealth PersonnelPersonal Protective EquipmentBody FluidsComputer SimulationCoronavirus InfectionsCOVID-19Hemorrhagic Fever, EbolaHumansInfectious Disease Transmission, Patient-to-ProfessionalPandemicsPneumonia, ViralRandomized Controlled Trials as TopicRespiratory Protective DevicesSARS-CoV-2Severe Acute Respiratory Syndrome

Identifiers

PMID32293717
PMCPMC7158881
OpenAlexW1876270687

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.