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1.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1700218.v1

ABSTRACT

AbstractBackground: COVID-19 outbreak resulted in negative mental health consequences such as depression, anxiety, and stress, particularly among healthcare workers. Objective: To evaluate health care workers' mental well-being and explore the reasons standing beyond their concerns and fears. Methods: From January to June 2021, we recruited 107 health care workers from psychiatric hospitals. The translated Arabic version COVID stress scale was used to assess their level of stress. The WHO Quality of Life - BREF score was used to assess their level of affection for their quality of life. Results: The majority of our sample (45.8%) was between the ages of 20 and 30. Females made up 37.8% of the group. The majority of them were infected during the first wave. The COVID Stress Scale (CSS) revealed that 21.5% of participants had no signs or symptoms of depression, while 55.1% had mild symptoms. Only 23.4% of our sample had moderate to severe symptoms. When categorized by domains, the mean CSS score was 12.21 ± 5.62 for the danger subscale, 6.18 ± 4.07 for the socioeconomic subscale, 8.44 ± 4.58 for the xenophobia subscale, 7.99 ± 4.18 for the contamination subscale, 5.87 ± 4.32 for traumatic subscale, and 11.13 ± 6.15 for compulsive subscale. The mean scores for the WHO QOL-brief score for the physical aspect were 91.51 ± 21.5, 75.25 ± 12.84 for the psychological aspect, 40.42 ± 8.52 for the social aspect, and 96.26 ± 17.76 for the environmental aspect. Conclusion:  we discovered that healthcare workers experienced high levels of stress, particularly during and after COVID -19 pandemic waves.


Subject(s)
COVID-19
2.
Research Square ; 2022.
Article in English | EuropePMC | ID: covidwho-1786475

ABSTRACT

Background: COVID-19 outbreak resulted in negative mental health consequences such as depression, anxiety, and stress, particularly among health-care workers. Objective: To evaluate health care worker mental well-being and explore the reasons standing beyond their concerns and fears. Methods: From January to June 2021, we recruited 107 health care workers from psychiatric hospitals. The translated Arabic version COVID stress scale was used to assess their level of stress. The WHO Quality of Life - BREF score was used to assess their level of affection for their quality of life. Results: The majority of our sample (45.8%) was between the ages of 20 and 30. Females made up 37.8% of the group. The majority of them were infected during the first wave. The COVID Stress Scale (CSS) revealed that 21.5% of participants had no signs or symptoms of depression, while 55.1% had mild symptoms. Only 23.4% of our sample had moderate to severe symptoms. When categorised by domains, the mean CSS score was 12.21 ± 5.62 for danger subscale, 6.18 ± 4.07 for socioeconomic subscale, 8.44 ± 4.58 for xenophobia subscale, 7.99 ± 4.18 for contamination subscale, 5.87 ± 4.32 for traumatic subscale, and 11.13 ± 6.15 for compulsive subscale. The mean scores for the WHO QOL-brief score for physical aspect were 91.51 ± 21.5, 75.25 ± 12.84 for psychological aspect, 40.42 ± 8.52 for social aspect, and 96.26 ± 17.76 for environmental aspect. Conclusion: we discovered that health-care workers experienced high levels of stress, particularly during and after COVID -19 pandemic waves.

3.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1439913.v1

ABSTRACT

Background: COVID-19 outbreak resulted in negative mental health consequences such as depression, anxiety, and stress, particularly among health-care workers. Objective: To evaluate health care worker mental well-being and explore the reasons standing beyond their concerns and fears. Methods: From January to June 2021, we recruited 107 health care workers from psychiatric hospitals. The translated Arabic version COVID stress scale was used to assess their level of stress. The WHO Quality of Life - BREF score was used to assess their level of affection for their quality of life. Results: The majority of our sample (45.8%) was between the ages of 20 and 30. Females made up 37.8% of the group. The majority of them were infected during the first wave. The COVID Stress Scale (CSS) revealed that 21.5% of participants had no signs or symptoms of depression, while 55.1% had mild symptoms. Only 23.4% of our sample had moderate to severe symptoms. When categorised by domains, the mean CSS score was 12.21 ± 5.62 for danger subscale, 6.18 ± 4.07 for socioeconomic subscale, 8.44 ± 4.58 for xenophobia subscale, 7.99 ± 4.18 for contamination subscale, 5.87 ± 4.32 for traumatic subscale, and 11.13 ± 6.15 for compulsive subscale. The mean scores for the WHO QOL-brief score for physical aspect were 91.51 ± 21.5, 75.25 ± 12.84 for psychological aspect, 40.42 ± 8.52 for social aspect, and 96.26 ± 17.76 for environmental aspect. Conclusion: we discovered that health-care workers experienced high levels of stress, particularly during and after COVID -19 pandemic waves.


Subject(s)
COVID-19
4.
Front Robot AI ; 8: 652685, 2021.
Article in English | MEDLINE | ID: covidwho-1266693

ABSTRACT

The Coronavirus disease 2019 (Covid-19) pandemic has brought the world to a standstill. Healthcare systems are critical to maintain during pandemics, however, providing service to sick patients has posed a hazard to frontline healthcare workers (HCW) and particularly those caring for elderly patients. Various approaches are investigated to improve safety for HCW and patients. One promising avenue is the use of robots. Here, we model infectious spread based on real spatio-temporal precise personal interactions from a geriatric unit and test different scenarios of robotic integration. We find a significant mitigation of contamination rates when robots specifically replace a moderate fraction of high-risk healthcare workers, who have a high number of contacts with patients and other HCW. While the impact of robotic integration is significant across a range of reproductive number R0, the largest effect is seen when R0 is slightly above its critical value. Our analysis suggests that a moderate-sized robotic integration can represent an effective measure to significantly reduce the spread of pathogens with Covid-19 transmission characteristics in a small hospital unit.

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