Abstract
Personal protective equipment (PPE) reduces the risk of pathogens reaching the skin and clothing of health care personnel. We hypothesize that doffing PPE following verbal instructions by a supervisor is more effective in reducing contamination compared with doffing without verbal instructions. Our primary aim was to determine contamination rates with and without supervised doffing. The secondary aim was to determine the number and localization of contaminated body sites and PPE removal times in both groups. Staff members of Bnai Zion Medical Center participated in this single-center, randomized simulation study (NCT05008627). Using a crossover design, all participants donned and doffed the PPE twice, once under guidance from a trained supervisor and then independently without supervision (group A), or vice versa (group B). Participants were randomized to either group A or B using a computer-generated random allocation sequence. The PPE was "contaminated" with Glo Germ on the thorax, shoulders, arms, hands, legs, and face shield. After doffing the PPE, the participant was examined under ultraviolet light to detect traces of contamination. The following variables were collected: contamination rates, the number and localization of contaminated body sites, and PPE doffing time. Forty-nine staff members were included. In group A, the contamination rate was significantly lower (8% vs. 47%; χ 2 = 17.19; p < 0.001). The sites most frequently contaminated were the neck and hands. Mean PPE doffing time under verbal instructions was significantly longer [mean (SD): 183.98 (3.63) vs. 68.43 (12.75) seconds, P < 0.001] compared with unsupervised doffing. In a simulated setting, PPE doffing following step-by-step verbal instructions from a trained supervisor reduces the rate of contamination but prolongs doffing time. These findings could have important implications for clinical practice and could further protect health care workers against contamination from emerging and high-consequence pathogens.
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More From: Simulation in healthcare : journal of the Society for Simulation in Healthcare
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