Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 8 de 8
Filter
1.
Front Public Health ; 10: 1048358, 2022.
Article in English | MEDLINE | ID: covidwho-2230560

ABSTRACT

The Omicron wave of the COVID-19 pandemic significantly affected Shanghai, China, from March to June 2022. Numbers of Fangcang Shelter Hospitals (FSHs) were conversed from stadiums and exhibition centers to tackle the pandemic. This study aimed to identify the stress load profiles of nurses working in FSHs and explore the characteristics and factors influencing stress load profiles. Totally, 609 out of 700 FSH nurses (with an effective response rate of 87%) participated in an online survey investigating their socio-demographic information, work-related stressors, and stress load. Results of the latent profile analysis identified four classes of stress load, which were labeled as the low (Class 1), mild (Class 2), moderate (Class 3), and high (Class 4) stress load class. Maternity status and self-perceived health condition were significantly different between the four stress load classes by comparisons using the Chi-square test and the Kruskal-Wallis test. The contributors to the stress load profiles were determined by the multinomial logistic regression analysis, including age, education, maternity status, self-perceived health condition, working time in FSHs, and the four dimensions of work-related stressors. Participants who were less healthy (OR = 0.045, 95% CI:0.012,0.171), worked longer time in FSHs (OR = 40.483, 95% CI: 12.103,135.410), faced with more workload (OR = 3.664, 95% CI: 1.047,12.815), and worse working environment (OR = 12.274, 95% CI: 3.029,49.729) were more likely to be classified to the high stress load class. The task arrangement and working environment for FSH nurses should be optimized, and psychological training should be conducted routinely.


Subject(s)
COVID-19 , East Asian People , Hospitals , Nurses , Stress, Psychological , Female , Humans , China/epidemiology , COVID-19/epidemiology , COVID-19/psychology , East Asian People/psychology , Follicle Stimulating Hormone , Hospitals/statistics & numerical data , Hospitals, Special/statistics & numerical data , Mobile Health Units/statistics & numerical data , Nurses/psychology , Nurses/statistics & numerical data , Pandemics/statistics & numerical data , SARS-CoV-2 , Workload/psychology , Workload/statistics & numerical data , Working Conditions/psychology , Working Conditions/statistics & numerical data , Stress, Psychological/epidemiology , Stress, Psychological/psychology , Occupational Stress/epidemiology , Occupational Stress/psychology
2.
Medicine (Baltimore) ; 100(21): e25945, 2021 May 28.
Article in English | MEDLINE | ID: covidwho-2191011

ABSTRACT

ABSTRACT: To investigate the prevalence of anxiety and depressive symptoms and the associated risk factors among first-line medical staff in Wuhan during the coronavirus disease 2019 (COVID-19) epidemic.From March 5 to 15, 2020, the Hamilton Anxiety Scale and Hamilton Depression scale were used to investigate the anxiety and depression status of medical staff in Wuhan Cabin Hospital (a Hospital). Two hundred seventy-six questionnaires were received from 96 doctors and 180 nurses, including 79 males and 197 females.During the COVID-19 epidemic, the prevalence rate of anxiety and depression was 27.9% and 18.1%, respectively, among 276 front-line medical staff in Wuhan. The prevalence rate of anxiety and depression among doctors was 19.8% and 11.5%, respectively, and the prevalence rate of anxiety and depression among nurses was 32.2% and 21.7%, respectively. Females recorded higher total scores for anxiety and depression than males, and nurses recorded higher scores for anxiety and depression than doctors.During the COVID-19 epidemic, some first-line medical staff experienced mental health problems such as depression and anxiety. Nurses were more prone to anxiety and depression than doctors. Effective strategies toward to improving the mental health should be provided to first-line medical staff, especially female medical staff and nurses.


Subject(s)
Anxiety/epidemiology , COVID-19/epidemiology , Depression/epidemiology , Medical Staff/psychology , Mobile Health Units/statistics & numerical data , Adult , Anxiety/psychology , COVID-19/diagnosis , COVID-19/therapy , COVID-19/transmission , China/epidemiology , Cross-Sectional Studies , Depression/psychology , Fear , Female , Humans , Infectious Disease Transmission, Patient-to-Professional , Male , Medical Staff/statistics & numerical data , Middle Aged , Pandemics , Prevalence , Risk Factors , SARS-CoV-2/isolation & purification , SARS-CoV-2/pathogenicity , Self Report/statistics & numerical data , Sex Factors , Workload/psychology
3.
Nurs Adm Q ; 45(2): 102-108, 2021.
Article in English | MEDLINE | ID: covidwho-1165558

ABSTRACT

As hospitals across the world realized their surge capacity would not be enough to care for patients with coronavirus disease-2019 (COVID-19) infection, an urgent need to open field hospitals prevailed. In this article the authors describe the implementation process of opening a Boston field hospital including the development of a culture unique to this crisis and the local community needs. Through first-person accounts, readers will learn (1) about Boston Hope, (2) how leaders managed and collaborated, (3) how the close proximity of the care environment impacted decision-making and management style, and (4) the characteristics of leaders under pressure as observed by the team.


Subject(s)
COVID-19/epidemiology , Capacity Building/organization & administration , Hospital Design and Construction/methods , Mobile Health Units/organization & administration , Boston , Female , Humans , Leadership , Male , Mobile Health Units/statistics & numerical data , Pandemics , SARS-CoV-2 , Uncertainty
7.
Anaesth Crit Care Pain Med ; 39(3): 361-362, 2020 06.
Article in English | MEDLINE | ID: covidwho-141545

Subject(s)
Betacoronavirus , Coronavirus Infections , Critical Care/organization & administration , Hospitals, Military/organization & administration , Intensive Care Units/organization & administration , Mobile Health Units/organization & administration , Pandemics , Pneumonia, Viral , Respiratory Distress Syndrome/therapy , Aged , Anesthesia, General/statistics & numerical data , Bed Conversion , COVID-19 , Coronavirus Infections/complications , Coronavirus Infections/epidemiology , Coronavirus Infections/prevention & control , Coronavirus Infections/transmission , Critical Care/statistics & numerical data , Emergency Medical Dispatch/organization & administration , Female , France/epidemiology , Hospital Bed Capacity, under 100 , Hospital Shared Services/organization & administration , Hospitals, General/organization & administration , Hospitals, Military/statistics & numerical data , Humans , Infectious Disease Transmission, Patient-to-Professional/prevention & control , Intensive Care Units/statistics & numerical data , Intensive Care Units/supply & distribution , Intubation, Intratracheal/statistics & numerical data , Length of Stay/statistics & numerical data , Male , Middle Aged , Mobile Health Units/statistics & numerical data , Occupational Diseases/prevention & control , Pandemics/prevention & control , Patient Admission/statistics & numerical data , Patient Transfer/methods , Patient Transfer/statistics & numerical data , Personal Protective Equipment , Pneumonia, Viral/complications , Pneumonia, Viral/epidemiology , Pneumonia, Viral/prevention & control , Pneumonia, Viral/transmission , Procedures and Techniques Utilization , Respiration, Artificial/statistics & numerical data , Respiratory Distress Syndrome/epidemiology , Respiratory Distress Syndrome/etiology , SARS-CoV-2
8.
Lancet ; 395(10232): 1305-1314, 2020 04 18.
Article in English | MEDLINE | ID: covidwho-27038

ABSTRACT

Fangcang shelter hospitals are a novel public health concept. They were implemented for the first time in China in February, 2020, to tackle the coronavirus disease 2019 (COVID-19) outbreak. The Fangcang shelter hospitals in China were large-scale, temporary hospitals, rapidly built by converting existing public venues, such as stadiums and exhibition centres, into health-care facilities. They served to isolate patients with mild to moderate COVID-19 from their families and communities, while providing medical care, disease monitoring, food, shelter, and social activities. We document the development of Fangcang shelter hospitals during the COVID-19 outbreak in China and explain their three key characteristics (rapid construction, massive scale, and low cost) and five essential functions (isolation, triage, basic medical care, frequent monitoring and rapid referral, and essential living and social engagement). Fangcang shelter hospitals could be powerful components of national responses to the COVID-19 pandemic, as well as future epidemics and public health emergencies.


Subject(s)
Coronavirus Infections , Emergencies , Facility Design and Construction , Hospitals, Special , Mobile Health Units , Pandemics , Pneumonia, Viral , Betacoronavirus , COVID-19 , China/epidemiology , Coronavirus Infections/epidemiology , Coronavirus Infections/therapy , Cost Control , Disease Outbreaks , Hospitals, Special/organization & administration , Hospitals, Special/statistics & numerical data , Humans , Infection Control , Mobile Health Units/organization & administration , Mobile Health Units/statistics & numerical data , Patient Isolation , Pneumonia, Viral/epidemiology , Pneumonia, Viral/therapy , SARS-CoV-2
SELECTION OF CITATIONS
SEARCH DETAIL