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Investigation of a Mask Fitness Test Based on Self-Efficacy and Diversified Training in the Assessment System for Nosocomial Infection Training

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Objective To explore a mask fitness test based on self-efficacy and diversified training in the assessment system for nosocomial infection training. Methods From March 15 to April 5, 2022, 442… Click to show full abstract

Objective To explore a mask fitness test based on self-efficacy and diversified training in the assessment system for nosocomial infection training. Methods From March 15 to April 5, 2022, 442 staff members (272 male and 170 female) of the Third People’s Hospital of Shenzhen who planned to enter the quarantine ward for secondary protection skill training assessment were selected. They comprised 56 doctors, 31 medical technicians, 72 nurses, and 283 property logistics staff. During the mask fitness test, a diversified training model based on self-efficacy was adopted to observe the passing status, the identification and selection of mask models, the method of mask-wearing, the fit between the mask and the face, and the changes in self-efficacy. Results In the assessment system for nosocomial infection training, the passing rate of the mask fitness test was correlated with the identification and selection of mask models, the method of wearing masks, the fit between the mask and the face, and the diversified training, and the differences were statistically significant (P < 0.05). The difference in the self-efficacy in the test takers between those before and after the mask fitness test was statistically significant (P < 0.05). Conclusion In the assessment system for nosocomial infection training, the mask fitness test based on self-efficacy and diversified training might improve the passing rate, the rate of correct mask model identification and selection, the rate of correct mask-wearing, and the degree of facial fit, thus to enhance the awareness of protection and improve self-efficacy.

Keywords: training; mask; mask fitness; self efficacy; fitness test

Journal Title: Infection and Drug Resistance
Year Published: 2023

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