COVID-19 Symptoms and Deaths among Healthcare Workers, United States

Effectiveness of the severe acute respiratory syndrome coronavirus 2 Omicron BA.5 bivalent vaccine on symptoms in healthcare workers with BA.5 infection

Background

The infection status of healthcare workers (HCWs) with coronavirus disease 2019 has become a major concern worldwide. In this study, we investigated the efficacy of the number of vaccine doses on symptoms after BA.5-adapted bivalent vaccination in HCWs.

Methods

We analyzed the occupation, route of infection, symptoms, and vaccination history of all HCWs who tested positive for severe acute respiratory syndrome coronavirus 2 and worked in our hospital from November 2020 to March 2023. A logistic regression analysis was performed to examine the association between the presence of BA.5-adapted bivalent vaccination and symptoms.

Results

During the observation period, 531 HCWs became infected. Of these, 72 % were women, with a median age of 30 years. Nurses accounted for 57 % of the infected cases, and many of the infection routes were from family members. We examined the relationship between symptoms in 352 HCWs infected with the Omicron BA.5* variant and the number of vaccine doses. As the number of vaccine doses increased, the rate of fever decreased, while symptoms such as a runny nose and sore throat tended to increase. The logistic regression analysis showed that the rate of fever tended to decrease (odds ratio = 0.52, 95 % confidence interval: 0.26-1.01, p = 0.056) and that of a runny nose increased (odds ratio = 3.68, 95 % confidence interval: 1.17-10.6, p = 0.018) after BA.5-adapted bivalent vaccination.

Conclusion

This study shows that fever is reduced and mild symptoms are increased after BA.5-adapted bivalent vaccination in BA.5-infected HCWs. This result highlights the potential effectiveness of tailored vaccination strategies in the management of emerging COVID-19 variants.

The relationships between nurses' resilience, burnout, perceived organisational support and social support during the second wave of the COVID-19 pandemic: A quantitative cross-sectional survey

AIMS

To examine the level of resilience and burnout among British nurses during the second wave of the COVID-19 pandemic and the influence of personal, social and organisational factors on nurses' resilience and burnout.

BACKGROUND

Nurses experienced excessive workload and emotional demands over a prolonged period during the COVID-19 pandemic which may have led to exhaustion. Little research has examined the correlation between the pandemic variables, nurses' resilience and burnout during the second wave of the COVID-19 pandemic.

DESIGN

This study utilised a descriptive, cross-sectional research design.

METHODS

A cross-sectional and self-report survey involved 111 staff nurses, who completed a self-administrated questionnaire between January and April 2021. A STORBE checklist was used to report the study results.

FINDINGS

The study found that nurses experienced a high level of burnout and low to moderate levels of resilience. The study revealed significant negative relationships between the level of burnout and perceived organisational support and nurses' resilience. The impact of the COVID-19 pandemic on nurses' social roles and their worries about patient safety were positively correlated with burnout. The perceived organisational support, the impact of the COVID-19 pandemic on nurses' social roles and the level of resilience were significant factors for burnout.

CONCLUSIONS

Nurses experienced a high level of burnout during the second wave of the COVID-19 pandemic, which may be influenced by how they felt their organisations supported them. Nurses' feelings that the pandemic affected their social roles were associated with increasing their burnout.

RELEVANCE TO CLINICAL PRACTICE

Strategies should be developed to address staff burnout and resilience. Nurse managers and educators should play leadership roles in creating professional training to include competencies and psychological preparedness for disasters and to implement strategies to increase the organisational commitments to staff safety and well-being.

Causes and Risk Factors for Absenteeism among Medical Staff in German Specialized Lung Clinics during the COVID Pandemic

BACKGROUND

Staff shortages pose a major challenge to the health system.

OBJECTIVES

The objective of this study was to clarify the role of different causative factors we investigated on staff absenteeism during the COVID pandemic.

METHODS

The prospective multicentre cohort study assessed the private and professional impact of the pandemic on health care workers (HCWs) using a specially developed questionnaire. HCWs from 7 specialist lung clinics throughout Germany were surveyed from December 1 to December 23, 2021. The current analysis addresses pandemic-related absenteeism.

RESULTS

1,134 HCW (55% female; 18.4% male, 26.3% not willing to provide information on age or gender) participated. 72.8% had received at least one vaccination dose at the time of the survey, and 9.4% reported a COVID infection. Of those with positive tests, 98% reported home quarantine for median (IQR) 14 (12-17) days; 10.3% of those who ultimately tested negative also reported quarantine periods of 14 (7-14) days. 32.2% of vaccinated respondents reported absenteeism due to vaccine reactions of 2 (1-3) days. Overall, 37% (n = 420) of HCW reported pandemic-related absenteeism, with 3,524 total days of absenteeism, of which 2,828 were due to illness/quarantine and 696 to vaccination effects. Independent risk factors for COVID-related absenteeism ≥5 days included already having COVID, but also concern about long-term effects of COVID (OR 1,782, p = 0.014); risk factors for vaccine-related absenteeism ≥2 days included concerns of late effects of vaccination (OR 2.2, 95% CI: 1.4-3.1, p < 0.000).

CONCLUSION

Staff shortages due to quarantine or infections and vaccine reactogenicity have put a strain on German respiratory specialists. The fact that staff concerns also contributed to absenteeism may be helpful in managing future pandemic events to minimize staff absenteeism.

Causes of Death Among Health Care Professionals in the United States

Specific causes of mortality among various types of health care professionals (HCPs), including those characterized by age, gender, and race, have not been well described. The National Occupational Mortality Surveillance data for deaths in 26 US states in 1999, 2003-2004, and 2007-2014 were queried to address this question. Proportionate mortality ratios (PMRs) were calculated to compare specific causes of mortality among HCPs compared with those among the general population. HCPs were less likely to die from heart disease (PMR 93, 95% confidence intervals [CI] 92-94), alcoholism (PMR 62, 95% CI 57-68), drugs (PMR 80, 95% CI 70-90), and more likely to die from cerebrovascular disease (PMR 105, 95% CI 104-107) and diabetes (PMR 107, 95% CI 105-109). HCPs aged 18-64 years were more likely to die by suicide (PMR 104, 95% CI 101-107), whereas those aged 65-90 years were less likely to die by suicide (PMR 84, 95% CI 77-91), with physicians (PMR 251, 95% CI 229-275) and other HCPs having high PMR for suicide. Among all HCPs, suicide PMR was similarly increased, whereas heart disease PMRs are similarly decreased among Black compared with those among White HCPs and those among male compared with those among female HCPs. HCPs as a group and specific types of HCPs demonstrate causes of mortality that differ in important ways from the general population. Race and gender-based trends in PMRs for key causes of mortality among HCPs suggest that employment in a health care field may not alter race and gender disparities noted among the general population.

Severity-onset prediction of COVID-19 via artificial-intelligence analysis of multivariate factors

Progression to a severe condition remains a major risk factor for the COVID-19 mortality. Robust models that predict the onset of severe COVID-19 are urgently required to support sensitive decisions regarding patients and their treatments. In this study, we developed a multivariate survival model based on early-stage CT images and other physiological indicators and biomarkers using artificial-intelligence analysis to assess the risk of severe COVID-19 onset. We retrospectively enrolled 338 adult patients admitted to a hospital in China (severity rate, 31.9%; mortality rate, 0.9%). The physiological and pathological characteristics of the patients with severe and non-severe outcomes were compared. Age, body mass index, fever symptoms upon admission, coexisting hypertension, and diabetes were the risk factors for severe progression. Compared with the non-severe group, the severe group demonstrated abnormalities in biomarkers indicating organ function, inflammatory responses, blood oxygen, and coagulation function at an early stage. In addition, by integrating the intuitive CT images, the multivariable survival model showed significantly improved performance in predicting the onset of severe disease (mean time-dependent area under the curve = 0.880). Multivariate survival models based on early-stage CT images and other physiological indicators and biomarkers have shown high potential for predicting the onset of severe COVID-19.

The Factors Associated with the Development of COVID-19 Symptoms among Employees in a U.S. Healthcare Institution

Healthcare workers have experienced increased occupational health risks caused by COVID-19 disease. The purpose of this project was to examine the relationships between reporting COVID-19 symptoms by employees in a healthcare institution in the United States and employees' demographics, vaccination status, co-morbid conditions, and body mass index (BMI). This project employed a cross-sectional design. It involved the analysis of data on COVID-19 exposure and infection incidents among employees in the healthcare institution. The dataset contained more than 20,000 entries. The results indicate that being female, African American, between 20 and 30 years old, diagnosed with diabetes, diagnosed with chronic obstructive pulmonary disease (COPD), or on immunosuppressive medicines is associated with greater reporting of COVID-19 symptoms by the employees. Furthermore, BMI is associated with reporting COVID-19 symptoms; the higher the BMI, the greater the likelihood of reporting a symptomatic infection. Moreover, having COPD, being 20-30 years old, being 40-50 years old, BMI, and vaccination status were significantly associated with employees reporting symptoms while controlling for other variables associated with reporting the symptoms among the employees. These findings may be applicable to other infectious disease outbreaks or pandemics.

COVID-19 Cases and Deaths among Healthcare Personnel with the Progression of the Pandemic in Korea from March 2020 to February 2022

Healthcare personnel (HCP) are vulnerable to COVID-19 infection due to their higher risk of contact with infected persons. The numbers of cases and deaths among HCP in Korea were divided into four periods associated with different major variants of SARS-CoV-2: GH clade, Alpha, Delta, and Omicron. To evaluate the implication of HCP infection in Korea, we overviewed the pandemic status in Korea and in other countries: the cases, deaths, excess mortality, and vaccination rates in Germany, Israel, Italy, Japan, the United Kingdom, and the United States. In about two years, there were 10,670 HCP cases among all COVID-19 cases (1.15% of 925,975 cases). HCP cases had a lower death rate (%) compared to that for all cases (0.14 versus 0.75). Nurses were the most infected (55.3%), followed by HCP of other categories (28.8%) and doctors (15.9%), while deaths were mostly reported among doctors (9 out of 15, 60%). Cases among HCP gradually increased, but the death rate decreased as the pandemic progressed. Compared to five of the other countries examined, Korea had a higher incidence of cases but a lower mortality, lower excess mortality, and a higher vaccination rate.

The prevalence of functional gastrointestinal disorders related symptoms and the association with working place among healthcare workers who were in the fighting against COVID-19 in regional China

Objectives

To investigate the prevalence of functional gastrointestinal disorders (FGIDs) related symptoms among healthcare workers (HWs) who were in the fighting against COVID-19 in Nanjing of China, and further to examine the association between working place and FGIDs-related symptoms among HWs during the period of COVID-19 epidemic.

Methods

An online anonymous survey was conducted among those HWs without history of FGIDs, who took part in the fighting against the COVID-19 epidemic between July and September of 2021 in Nanjing, China. All the 15 FGIDs-related symptoms included in the Rome IV diagnostic questionnaire for adults were investigated in this study. The outcome variable was the presence of FGIDs-related symptoms ("Yes" or "No"), while the independent measure was participants' working place ("in-ward" or "out-ward"). Logistics regression models were applied to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to assess the association of working place with FGIDs-related symptoms among those healthcare workers.

Results

Totally, 336 eligible participants completed the survey. The prevalence of FGIDs-related symptoms was 48.8% (95%CI = 43.4%, 54.3%) among overall participants, with 40.7% (95%CI = 33.14%, 48.71%) and 56.3% (95%CI = 48.59%, 63.73%) for in-ward and out-ward HWs, respectively. Compared to their in-ward counterparts, those out-ward HWs were at a 1.88-fold likelihood (95%CI = 1.22, 2.89) to experience FGIDs-related symptoms during the period of fighting against the COVID-19 epidemic. After adjustment for potential confounders, such a positive association attenuated but still remained significant.

Conclusions

A high prevalence of FGIDs-related symptoms was observed among those HWs who were without history of FGIDs during the fighting against COVID-19, and out-ward HWs were at a significantly higher risk to experience FGIDs-related symptoms relative to their in-ward counterparts in regional China. It has important implications that particular attention shall be paid to functional gastrointestinal issues for healthcare workers, especially those who are at uncertain risks of infectious diseases, when they participate in response to public health emergencies in future.

Effect of COVID‐19 on healthcare workers' morbidity and mortality compared to the general population in Kohgiluyeh and Boyer‐Ahmad Province, Iran

During the Covid‐19 pandemic, the adverse effects of recent coronaviruses on healthcare professionals cannot be ignored. This study compared the admission rates due to Covid‐19 and characteristics of hospitalized healthcare workers with the general population of Kohgiluyeh and Boyer‐Ahmad (K.B) province. 18546 hospitalized patients infected with Covid‐19 in hospitals in four cities of K.B province were enrolled in this study; of them, 236 (1.27%) patients were healthcare workers. Demographic and clinical data of hospitalized cases due to Covid‐19 infection were collected from August 2020 to September 2021. The underlying diseases were also considered in this study. According to our findings, 55.5% of the hospitalized healthcare workers were male, and 44.5% were female; their mean age was 41.41 years. However, in the general population, hospitalization rates were higher for women than for men (51.2% and 48.8%, respectively). Although the SARS‐CoV‐2 infectivity rate was higher in healthcare workers compared to the general population (68.6% vs. 56.1%), the mortality rate was significantly lower in them (1.7% vs. 3.8%). Fever, cough, Acute Respiratory Distress Syndrome, headache, and myalgia were the most prevalent symptoms in both groups. Among the cases examined in this study, inpatient ones aged 30–40 years and the general population aged over 60 seemed to be more likely to be hospitalized for Covid‐19. The hospitalization rate of healthcare workers during the pandemic follows the same pattern as the general population, but since the start of vaccination, this rate has decreased among healthcare workers compared to the general population of KB province.