Dataset Information

Self-Report Assessment of Nurses' Risk for Infection After Exposure to Patients With Coronavirus Disease (COVID-19) in the United Arab Emirates.

ABSTRACT:

Purpose

Nurses have an increased risk for acquiring COVID-19 infection. This study assessed levels of risk for exposure to COVID-19 among nurses, and determined those at the greatest risk.

Design

A cross-sectional design was used to assess risk for exposure to COVID-19 in nurses from five randomly selected governmental hospitals in the United Arab Emirates. Participants completed an online survey (including the World Health Organization survey) to assess their risk for exposure to COVID-19. Descriptive statistics were used to describe classes of risk for exposure, and logistic regression was used to identify factors associated with greater risk.

Findings

Of the 552 participants, 284 nurses (51.4%) were classified at high risk for COVID-19 exposure as they did not report adherence to infection control and prevention (ICP) guidelines at all times during healthcare interactions and when performing aerosol procedures, or had accidental exposure to biological fluid and respiratory secretions. Compared with adherence to wearing medical masks, gloves, and hand hygiene practices, adherence to wearing face shields or goggles and disposable gowns and decontaminating high-touch surfaces was less frequent. Shifting to work in critical care units, not having adequate critical care experience, and reporting a need for training in ICP practices were factors that contributed to high-risk exposure (p values for Ex (Bs) = 2.60, 2.16, 1.75, ≤ 0.05, consecutively).

Conclusions

A considerable number of nurses were classified at high risk for COVID-19 exposure. Critical care work experience and adequate evidence-based training in ICP practices related to COVID-19 must be considered to mitigate the risk for exposure to COVID-19 in nurses.

Clinical relevance

This study provided a strong message regarding protecting nurses at high risk for exposure to COVID-19. Clinical leaders must stay vigilant to ensure nurses' adherence to ICP practices in the context of COVID-19, and to proactively address any related deficits.

SUBMITTER: Bani-Issa WA

PROVIDER: S-EPMC8013464 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND: Environmental risks to health in the United Arab Emirates (UAE) have shifted rapidly from infectious to noninfectious diseases as the nation has developed at an unprecedented rate. In response to public concerns over newly emerging environmental risks, the Environment Agency-Abu Dhabi commissioned a multidisciplinary environmental health strategic planning project. OBJECTIVES: In order to develop the environmental health strategic plan, we sought to quantify the illnesses and premature deaths in the UAE attributable to 14 environmental pollutant categories, prioritize these 14 risk factors, and identify interventions. METHODS: We estimated the disease burden imposed by each risk factor using an attributable fraction approach, and we prioritized the risks using an empirically tested stakeholder engagement process. We then engaged government personnel, scientists, and other stakeholders to identify interventions. RESULTS: The UAE's environmental disease burden is low by global standards. Ambient air pollution is the leading contributor to premature mortality [~ 650 annual deaths; 95% confidence interval (CI): 140, 1,400]. Risk factors leading to > 10,000 annual health care facility visits included occupational exposures, indoor air pollution, drinking water contamination, seafood contamination, and ambient air pollution. Among the 14 risks considered, on average, outdoor air pollution was ranked by the stakeholders as the highest priority (mean rank, 1.4; interquartile range, 1-2) and indoor air pollution as the second-highest priority (mean rank 3.3; interquartile range, 2-4). The resulting strategic plan identified 216 potential interventions for reducing environmental risks to health. CONCLUSIONS: The strategic planning exercise described here provides a framework for systematically deciding how to invest public funds to maximize expected returns in environmental health, where returns are measured in terms of reductions in a population's environmental burden of disease.