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Frontline medical workers (FMWs) faced high stress levels in frontline clinics during the COVID-19 pandemic. This study aims to alleviate FMWs’ psychological stress by enhancing protection measures, which includes refining the selection process, improving protective measures for their work in frontline clinics, and determining the appropriate time for evacuation. A Chinese-language-version stress questionnaire, covering stress-related issues and sociodemographic characteristics, was administered to FMWs in Shanghai during the COVID-19 pandemic in 2022, yielding 107 valid responses. The questionnaire’s reliability and validity were subsequently confirmed. Exploratory factor analysis (EFA) was applied to the stress-related questions, with the KMO and Bartlett’s test values of 0.886, 877.8522 (df = 120, p < 0.0001), respectively. Structure equation modeling (SEM) was used to confirm the factors and measure the relationships among the stress-related questions, factors and sociodemographic characteristics. The parameters of SEM named SOFAIDC were significant with SRMSR, RMSEA, AGFI, NFI, and PNFI being 0.0422, 0.0507, 0.9946, 0.9958, and 0.7615, respectively. Paired sample t-tests revealed the significant decrease in FMWs’ stress score of the current week and the previous week, with all t-values being negative and significant (p < 0.01). A latent growth model (LGM) named LGM30 verified the overall decreasing stress trend over the weeks, with high R-squares (> 0.80), significant positive linear and negative quadratic time parameters. Based on the trajectory analysis, a stress scorecard with an AUC of 0.856 was developed. This study found that there are four factors for FMWs’ psychological stress (anxiety about infection, exhaustion, lack of cognition for infection, and hesitant feeling), and improving targeted hospital protection could alleviate FMWs’ psychological stress through SOFAIDC, as all the total effect of factors or items from the feeling of being protected by hospital were negative. Meanwhile, although overall FMWs’ stress trend has decreased, 22.43% of FMWs have maintained or experienced a high stress trend, and the stress might increase over weeks in frontline clinics. To perfect hospital protection to alleviate FMWs’ psychological stress, the scorecard could be used to select FMWs with low-stress trends, LGM30 could be used to determine the withdrawal time (such as week 8), and targeted hospital protections could be designed based on the relationships between feeling of being protected by the hospital and factors in SOFAIDC, such as providing adequate protective equipment, improving the rationality of FMWs’ work schedules, recruiting personnel with higher education levels, and paying adequate monetary compensation.
Frontline medical workers (FMWs) faced high stress levels in frontline clinics during the COVID-19 pandemic. This study aims to alleviate FMWs’ psychological stress by enhancing protection measures, which includes refining the selection process, improving protective measures for their work in frontline clinics, and determining the appropriate time for evacuation. A Chinese-language-version stress questionnaire, covering stress-related issues and sociodemographic characteristics, was administered to FMWs in Shanghai during the COVID-19 pandemic in 2022, yielding 107 valid responses. The questionnaire’s reliability and validity were subsequently confirmed. Exploratory factor analysis (EFA) was applied to the stress-related questions, with the KMO and Bartlett’s test values of 0.886, 877.8522 (df = 120, p < 0.0001), respectively. Structure equation modeling (SEM) was used to confirm the factors and measure the relationships among the stress-related questions, factors and sociodemographic characteristics. The parameters of SEM named SOFAIDC were significant with SRMSR, RMSEA, AGFI, NFI, and PNFI being 0.0422, 0.0507, 0.9946, 0.9958, and 0.7615, respectively. Paired sample t-tests revealed the significant decrease in FMWs’ stress score of the current week and the previous week, with all t-values being negative and significant (p < 0.01). A latent growth model (LGM) named LGM30 verified the overall decreasing stress trend over the weeks, with high R-squares (> 0.80), significant positive linear and negative quadratic time parameters. Based on the trajectory analysis, a stress scorecard with an AUC of 0.856 was developed. This study found that there are four factors for FMWs’ psychological stress (anxiety about infection, exhaustion, lack of cognition for infection, and hesitant feeling), and improving targeted hospital protection could alleviate FMWs’ psychological stress through SOFAIDC, as all the total effect of factors or items from the feeling of being protected by hospital were negative. Meanwhile, although overall FMWs’ stress trend has decreased, 22.43% of FMWs have maintained or experienced a high stress trend, and the stress might increase over weeks in frontline clinics. To perfect hospital protection to alleviate FMWs’ psychological stress, the scorecard could be used to select FMWs with low-stress trends, LGM30 could be used to determine the withdrawal time (such as week 8), and targeted hospital protections could be designed based on the relationships between feeling of being protected by the hospital and factors in SOFAIDC, such as providing adequate protective equipment, improving the rationality of FMWs’ work schedules, recruiting personnel with higher education levels, and paying adequate monetary compensation.
Background: Health professionals are at high risk of poor mental health and well-being. Faced with this challenge, healthcare organizations must be healthy and safe work environments. Objectives: This study aims to take an in-depth, systemic look at whether healthcare organizations are healthy workplaces. Methods: The study involved 2190 participants aged between 19 and 71 (M = 44.73, SD = 10.29) and data were collected in 12 public hospitals between November 2021 and December 2023. The study used the Ecosystems of Healthy Workplaces instrument, which consists of a total of 62 items organized into nine dimensions based on the Healthy Workplaces model proposed by the World Health Organization. Results: Most dimensions revealed a moderate risk in terms of whether they were healthy work environments, while the dimension that revealed a high risk was related to psychosocial risks at work in relation to well-being and mental health. A total of 87% of the professionals reported at least one symptom of burnout and 61.4% reported having all three symptoms of burnout. Additionally, 25.4% reported having been victims of harassment at work. When comparing the groups, we identified that the higher risk groups were namely women, generation Z and X professionals, doctors (compared to the different professional groups under analysis such as nurses, operational assistants, psychologists, administrators, senior technicians, and managers), professionals with chronic illnesses, and those who reported harassment at work. Conclusions: We conclude that the work environment must be understood ecologically, by analyzing the different systems and their relationships. This makes it possible to identify priority factors and groups for intervention.
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