ArticleJournal of occupational and environmental hygiene2019
Experience of Chicagoland acute care hospitals in preparing for Ebola virus disease, 2014-2015.
Article in Journal of occupational and environmental hygiene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed.
- Impact of Face-to-Face Teaching in Addition to Electronic Learning on Personal Protective Equipment Doffing Proficiency in Student Paramedics: Randomized Controlled Trial.International journal of environmental research and public health · 2022Trial
- Mask shortage during epidemics and pandemics: a scoping review of interventions to overcome limited supply.BMJ open · 2020Article
- Characteristics of personal protective equipment training programs in Australia and New Zealand hospitals: A survey.Infection, disease & health · 2020Article
- A systematic risk-based strategy to select personal protective equipment for infectious diseases.American journal of infection control · 2020Article
- Personal protective equipment doffing practices of healthcare workers.Journal of occupational and environmental hygiene · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
During the 2014-2015 Ebola Virus Disease (EVD) outbreak, hospitals in the United States selected personal protective equipment (PPE) and trained healthcare personnel (HCP) in anticipation of receiving EVD patients. To improve future preparations for high-consequence infectious diseases, it was important to understand factors that affected PPE selection and training in the context of the EVD outbreak. Semistructured interviews were conducted with HCP involved with decision-making during EVD preparations at acute care hospitals in the Chicago, IL area to gather information about the PPE selection and training process. HCP who received training were surveyed about elements of training and their perceived impact and overall experience by email invitation. A total of 28 HCP from 15 hospitals were interviewed, and 55 HCP completed the survey. Factors affecting PPE selection included: changing guidance, vendor supply, performance evaluations, and perceived risk and comfort for HCP. Cost did not affect selection. PPE acquisition challenges were mitigated by: sharing within hospital networks, reusing PPE during training, and improvising with existing PPE stock. Selected PPE ensembles were similar across sites. Training included hands-on activities with trained observers, instructional videos, and simulations/drills, which were felt to increase HCP confidence. Many felt refresher training would be helpful. Hands-on training was perceived to be effective, but there is a need to establish the appropriate frequency of refresher training frequency to maintain competence. Lacking confidence in the CDC guidance, interviewed trainers described turning to other sources of information and developing independent PPE evaluation and selection. Response to emerging and/or high consequence infectious diseases would be enhanced by transparent, risk-based guidance for PPE selection and training that addresses protection level, ease of use, ensembles, and availability.
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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.