scholarly journals Effect of Gender, Age and Vaccine on Reactogenicity and Incapacity to Work after COVID-19 Vaccination: A Survey among Health Care Workers

2021 ◽  
Author(s):  
Irit Nachtigall ◽  
Marzia Bonsignore ◽  
Sven Hohenstein ◽  
Andreas Bollmann ◽  
Rosita Günther ◽  
...  
Keyword(s):  
Health Care ◽  
Medical Officer ◽  
Female Gender ◽  
Time Of Day ◽  
Survey Tool ◽  
Care Workers ◽  
Younger Age ◽  
Gender And Age ◽  
E Mail ◽  
Research Grant

Abstract Background The aim of our study was to assess the influence of gender and age on reactogenicity by the different vaccines and their combinations. Further parameters were the reduction in working capacity after vaccination and the influence of the time of day when vaccines were administered. Methods We conducted a survey on COVID-19 vaccinations and eventual reactions among employees of 89 hospitals of the Helios Group. On May 19th, 2021 employees received an invitation by e-mail from the chief medical officer with a link to the survey tool. Participation was voluntary and non-traceable. The survey was closed on June 21st, 2021. Results 8,375 participants reported on 16,727 vaccinations. Reactogenicity was reported in 75% of COVID-19 vaccinations. In 23% the capacity to work was affected. Major risk factors were female gender, younger age and vaccine other than BNT162b2. ChAdOx induced impairing reactogenicity mainly after the prime vaccination (70.5%), while mRNA-1273 led to more pronounced reactions after the second dose (71.7%). Heterologous prime-booster vaccinations with ChAdOx followed by either mRNA-1273 or BNT162b2 were associated with the highest risk for impairment (81.4%). The time of day of the vaccinations showed no influence. Conclusions Young women had the highest chance to experience reactogenicity and to be unable to work after COVID-19 vaccination. When vaccinating a large part of a workforce, especially in professions with a higher proportion of women like health care, employers as well as employees must be prepared for a noticeable amount of absenteeism. Trial registration The study was approved by the Ethic Committee of the Aerztekammer Berlin on May 27th, 2021 (Eth-37/21) and registered in the German Clinical Trials Register (DRKS 00025745). The study was supported by the Helios research grant HCRI-ID 2021-0272.

Stress, anxiety, depression and burnout in frontline health care workers during COVID-19 pandemic: a brief systematic review and new data from Russia

2021 ◽  
Author(s):  
Ekaterina Mosolova ◽  
Dmitry Sosin ◽  
Sergey Mosolov
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Female Gender ◽  
Assessment Tools ◽  
Care Workers ◽  
Younger Age ◽  
Wide Range ◽  
Associated Risk Factors ◽  
Anxiety Depression ◽  
The Impact

During the COVID-19 pandemic, healthcare workers (HCWs) have been subject to increased workload while also exposed to many psychosocial stressors. In a systematic review we analyze the impact that the pandemic has had on HCWs mental state and associated risk factors. Most studies reported high levels of depression and anxiety among HCWs worldwide, however, due to a wide range of assessment tools, cut-off scores, and number of frontline participants in the studies, results were difficult to compare. Our study is based on two online surveys of 2195 HCWs from different regions of Russia during spring and autumn epidemic outbreaks revealed the rates of anxiety, stress, depression, emotional exhaustion and depersonalization and perceived stress as 32.3%, 31.1%, 45.5%, 74.2%, 37.7% ,67.8%, respectively. Moreover, 2.4% of HCWs reported suicidal thoughts. The most common risk factors include: female gender, nurse as an occupation, younger age, working for over 6 months, chronic diseases, smoking, high working demands, lack of personal protective equipment, low salary, lack of social support, isolation from families, the fear of relatives getting infected. These results demonstrate the need for urgent supportive programs for HCWs fighting COVID-19 that fall into higher risk factors groups.

scholarly journals Job satisfaction among health care workers: the role of gender and age

2013 ◽  
Vol 21 (6) ◽  
pp. 1314-1320 ◽  
Author(s):  
César Carrillo-García ◽  
María del Carmen Solano-Ruíz ◽  
María Emilia Martínez-Roche ◽  
Carmen Isabel Gómez-García
Keyword(s):  
Job Satisfaction ◽  
Health Care ◽  
Health Care Professionals ◽  
University Hospital ◽  
Satisfaction Scale ◽  
Health Care Professions ◽  
Overwhelming Evidence ◽  
Care Workers ◽  
Gender And Age ◽  
Taking Action

OBJECTIVE: to analyze the influence of gender and age on the quality of the professional lives of health care professionals at a university hospital. METHOD: a total of 546 professionals completed a general questionnaire that measured sociodemographic variables and evaluated job satisfaction using a scale adopted from the NTP 394 Job Satisfaction scale and translated into Spanish. RESULTS: overall, 77.2% of the professionals surveyed were satisfied with the work they perform. With regards to gender, we found overwhelming evidence of the feminization of practically all health care professions included in the study, with higher levels of job satisfaction among women than men. Regarding age, 20-30-year-olds and professionals over 61 years old showed higher satisfaction levels than did middle-aged professionals. Higher levels of dissatisfaction were reported by professionals between 41 and 50 years old. CONCLUSIONS: we were able to detect the influence of gender and age on the level of job satisfaction, finding significant associations between job satisfaction and both of these variables. Generally, women expressed more satisfaction than men, and elderly professionals showed higher satisfaction compared to younger professionals. Management policies should focus on taking action to correct the conditions that produce dissatisfaction among certain groups of employees.

scholarly journals Time of Day of Vaccination Affects SARS-CoV-2 Antibody Responses in an Observational Study of Health Care Workers

2021 ◽  
pp. 074873042110593
Author(s):  
Wei Wang ◽  
Peter Balfe ◽  
David W. Eyre ◽  
Sheila F. Lumley ◽  
Denise O’Donnell ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Time Of Day ◽  
Antibody Responses ◽  
Post Vaccination ◽  
Host Immune Responses ◽  
Care Workers ◽  
Vaccine Type ◽  
Multiple Pathogens ◽  
Vaccination Time

The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global crisis with unprecedented challenges for public health. Vaccinations against SARS-CoV-2 have slowed the incidence of new infections and reduced disease severity. As the time of day of vaccination has been reported to influence host immune responses to multiple pathogens, we quantified the influence of SARS-CoV-2 vaccination time, vaccine type, participant age, sex, and days post-vaccination on anti-Spike antibody responses in health care workers. The magnitude of the anti-Spike antibody response is associated with the time of day of vaccination, vaccine type, participant age, sex, and days post-vaccination. These results may be relevant for optimising SARS-CoV-2 vaccine efficacy.

scholarly journals A Web-Based, Mobile-Responsive Application to Screen Health Care Workers for COVID-19 Symptoms: Rapid Design, Deployment, and Usage

10.2196/19533 ◽  
2020 ◽  
Vol 4 (10) ◽  
pp. e19533
Author(s):  
Haipeng Zhang ◽  
Dimitar Dimitrov ◽  
Lynn Simpson ◽  
Nina Plaks ◽  
Balaji Singh ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
The United States ◽  
Time Of Day ◽  
The Self ◽  
Web Based ◽  
Symptom Screening ◽  
Care Workers ◽  
Self Service ◽  
Service Application

Background As of July 17, 2020, the COVID-19 pandemic has affected over 14 million people worldwide, with over 3.68 million cases in the United States. As the number of COVID-19 cases increased in Massachusetts, the Massachusetts Department of Public Health mandated that all health care workers be screened for symptoms daily prior to entering any hospital or health care facility. We rapidly created a digital COVID-19 symptom screening tool to enable this screening for a large, academic, integrated health care delivery system, Partners HealthCare, in Boston, Massachusetts. Objective The aim of this study is to describe the design and development of the COVID Pass COVID-19 symptom screening application and report aggregate usage data from the first three months of its use across the organization. Methods Using agile principles, we designed, tested, and implemented a solution over the span of one week using progressively customized development approaches as the requirements and use case become more solidified. We developed the minimum viable product (MVP) of a mobile-responsive, web-based, self-service application using research electronic data capture (REDCap). For employees without access to a computer or mobile device to use the self-service application, we established a manual process where in-person, socially distanced screeners asked employees entering the site if they have symptoms and then manually recorded the responses in an Office 365 Form. A custom .NET Framework application solution was developed as COVID Pass was scaled. We collected log data from the .NET application, REDCap, and Microsoft Office 365 from the first three months of enterprise deployment (March 30 to June 30, 2020). Aggregate descriptive statistics, including overall employee attestations by day and site, employee attestations by application method (COVID Pass automatic screening vs manual screening), employee attestations by time of day, and percentage of employees reporting COVID-19 symptoms, were obtained. Results We rapidly created the MVP and gradually deployed it across the hospitals in our organization. By the end of the first week, the screening application was being used by over 25,000 employees each weekday. After three months, 2,169,406 attestations were recorded with COVID Pass. Over this period, 1865/160,159 employees (1.2%) reported positive symptoms. 1,976,379 of the 2,169,406 attestations (91.1%) were generated from the self-service screening application. The remainder were generated either from manual attestation processes (174,865/2,169,406, 8.1%) or COVID Pass kiosks (25,133/2,169,406, 1.2%). Hospital staff continued to work 24 hours per day, with staff attestations peaking around shift changes between 7 and 8 AM, 2 and 3 PM, 4 and 6 PM, and 11 PM and midnight. Conclusions Using rapid, agile development, we quickly created and deployed a dedicated employee attestation application that gained widespread adoption and use within our health system. Further, we identified 1865 symptomatic employees who otherwise may have come to work, potentially putting others at risk. We share the story of our implementation, lessons learned, and source code (via GitHub) for other institutions who may want to implement similar solutions.

scholarly journals Anxiety and Sleep Disturbances Among Health Care Workers During the COVID-19 Pandemic in India: Cross-Sectional Online Survey (Preprint)

2020 ◽  
Author(s):  
Bhawna Gupta ◽  
Vyom Sharma ◽  
Narinder Kumar ◽  
Akanksha Mahajan
Keyword(s):  
Health Care ◽  
Sleep Quality ◽  
Health Care Workers ◽  
Personal Protective Equipment ◽  
Sleep Disturbances ◽  
Female Gender ◽  
Protective Equipment ◽  
Cross Sectional ◽  
Care Workers ◽  
Anxiety Levels

BACKGROUND The COVID-19 pandemic caused by SARS-CoV-2 has become a serious concern among the global medical community and has resulted in an unprecedented psychological impact on health care workers, who were already working under stressful conditions. OBJECTIVE In this study, we aimed to evaluate and measure the effects of the COVID-19 pandemic on the anxiety levels and sleep quality among health care workers in India, as well as to determine how the unavailability of personal protective equipment affects their willingness to provide patient-related care. METHODS We conducted an online cross-sectional study using piloted, structured questionnaires with self-reported responses from 368 volunteer male and female health care workers in India. Study participants were identified through social networking platforms such as Facebook and WhatsApp. The survey evaluated the participants’ degree of signs and symptoms of anxiety and sleep quality based on the 7-item Generalized Anxiety Disorder (GAD-7) scale and single-item Sleep Quality Scale, respectively. Information on the availability of personal protective equipment was collected based on responses to relevant survey questions. RESULTS The majority of health care workers (126/368, 34.2%) were in the age group 45-60 years, and 52.2% (192/368) were doctors. Severe anxiety (ie, GAD-7 score &gt;10) was observed among 7.3% (27/368) health care workers, whereas moderate, mild, and minimal anxiety was observed among 12.5% (46/368), 29.3% (108/368), and 50.8% (187/368) health care workers, respectively. Moreover, 31.5% (116/368) of the health care workers had poor-to-fair sleep quality (ie, scores &lt;6). Univariate analysis showed female gender and inadequate availability of personal protective equipment was significantly associated with higher anxiety levels (<i>P</i>=.01 for both). Sleep disturbance was significantly associated with age &lt;30 years (<i>P</i>=.04) and inadequate personal protective equipment (<i>P</i>&lt;.001). Multivariable analysis showed that poorer quality of sleep was associated with higher anxiety levels (<i>P</i>&lt;.001). CONCLUSIONS The COVID-19 pandemic has potentially caused significant levels of anxiety and sleep disturbances among health care workers, particularly associated with the female gender, younger age group, and inadequate availability of personal protective equipment. These factors put health care workers at constant risk of contracting the infection themselves or transmitting it to their families. Early identification of at-risk health care workers and implementation of situation-tailored mitigation measures could help alleviate the risk of long-term, serious psychological sequelae as well as reduce current anxiety levels among health care workers.

scholarly journals Younger age and female gender are determinants of underestimated cardiovascular risk in rheumatoid arthritis patients: a prospective cohort study

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Daphne C. Rohrich ◽  
Eline H. M. van de Wetering ◽  
Alexander J. Rennings ◽  
Elke E. Arts ◽  
Inger L. Meek ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Cardiovascular Risk ◽  
Female Gender ◽  
Inception Cohort ◽  
Younger Age ◽  
Gender And Age ◽  
Lemeshow Test ◽  
Risk Patients ◽  
Predicted Risk

Abstract Background Rheumatoid arthritis (RA) patients have an increased cardiovascular (CV) risk. Here, we aimed to investigate whether gender and age are contributing to the misclassification of CV risk in RA patients. Methods Prospectively collected data on cardiovascular risk factors and incident events from the Nijmegen inception cohort were analyzed, with up to 10 years follow-up. Original as well as the EULAR-modified (M)_SCORE algorithms were used to calculate CV risk. Patients were stratified in deciles according to predicted risk; the Hosmer-Lemeshow test was used to check concordance between observed and predicted risk, in subgroups of gender and age. Results There were 863 RA patients included with 128 incident CV events. When using SCORE in the whole group, there was evidence of a discrepancy between the predicted and observed CV risk (H-L test p < 0.003), mainly present in the female subgroup (H-L test p < 0.001). Interestingly, 36% of females who developed an event belonged to the low CV risk group, whereas this was just 10% in RA males. When analyzing the subgroups based on age, a discrepancy was present only in the youngest patients (H-L test p < 0.001 in patients < 55 years) consisting of an underestimation of CV risk (5.3% predicted vs. 8.0% observed). Similar results were obtained when the M_SCORE was applied. Conclusion CV risk is especially underestimated in female and younger RA patients. This suggests that modifying the weight for the female gender and/or younger age in currently used CV risk algorithms might improve their predictive value in RA, contributing to better CV risk management.

scholarly journals A Web-Based, Mobile-Responsive Application to Screen Health Care Workers for COVID-19 Symptoms: Rapid Design, Deployment, and Usage (Preprint)

2020 ◽  
Author(s):  
Haipeng Zhang ◽  
Dimitar Dimitrov ◽  
Lynn Simpson ◽  
Nina Plaks ◽  
Balaji Singh ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
The United States ◽  
Time Of Day ◽  
The Self ◽  
Web Based ◽  
Symptom Screening ◽  
Care Workers ◽  
Self Service ◽  
Service Application

BACKGROUND As of July 17, 2020, the COVID-19 pandemic has affected over 14 million people worldwide, with over 3.68 million cases in the United States. As the number of COVID-19 cases increased in Massachusetts, the Massachusetts Department of Public Health mandated that all health care workers be screened for symptoms daily prior to entering any hospital or health care facility. We rapidly created a digital COVID-19 symptom screening tool to enable this screening for a large, academic, integrated health care delivery system, Partners HealthCare, in Boston, Massachusetts. OBJECTIVE The aim of this study is to describe the design and development of the COVID Pass COVID-19 symptom screening application and report aggregate usage data from the first three months of its use across the organization. METHODS Using agile principles, we designed, tested, and implemented a solution over the span of one week using progressively customized development approaches as the requirements and use case become more solidified. We developed the minimum viable product (MVP) of a mobile-responsive, web-based, self-service application using research electronic data capture (REDCap). For employees without access to a computer or mobile device to use the self-service application, we established a manual process where in-person, socially distanced screeners asked employees entering the site if they have symptoms and then manually recorded the responses in an Office 365 Form. A custom .NET Framework application solution was developed as COVID Pass was scaled. We collected log data from the .NET application, REDCap, and Microsoft Office 365 from the first three months of enterprise deployment (March 30 to June 30, 2020). Aggregate descriptive statistics, including overall employee attestations by day and site, employee attestations by application method (COVID Pass automatic screening vs manual screening), employee attestations by time of day, and percentage of employees reporting COVID-19 symptoms, were obtained. RESULTS We rapidly created the MVP and gradually deployed it across the hospitals in our organization. By the end of the first week, the screening application was being used by over 25,000 employees each weekday. After three months, 2,169,406 attestations were recorded with COVID Pass. Over this period, 1865/160,159 employees (1.2%) reported positive symptoms. 1,976,379 of the 2,169,406 attestations (91.1%) were generated from the self-service screening application. The remainder were generated either from manual attestation processes (174,865/2,169,406, 8.1%) or COVID Pass kiosks (25,133/2,169,406, 1.2%). Hospital staff continued to work 24 hours per day, with staff attestations peaking around shift changes between 7 and 8 AM, 2 and 3 PM, 4 and 6 PM, and 11 PM and midnight. CONCLUSIONS Using rapid, agile development, we quickly created and deployed a dedicated employee attestation application that gained widespread adoption and use within our health system. Further, we identified 1865 symptomatic employees who otherwise may have come to work, potentially putting others at risk. We share the story of our implementation, lessons learned, and source code (via GitHub) for other institutions who may want to implement similar solutions.

scholarly journals Acceptance of COVID-19 vaccine in Pakistan among health care workers

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257237 ◽  
Author(s):  
Asmara Malik ◽  
Jahanzeb Malik ◽  
Uzma Ishaq
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Tertiary Care ◽  
Female Gender ◽  
Direct Patient Care ◽  
Care Hospital ◽  
Care Providers ◽  
Snowball Sampling ◽  
Cross Sectional ◽  
Care Workers

Objective Acceptance of the COVID-19 vaccine will impart a pivotal role in eradicating the virus. In Pakistan, health care workers (HCWs) are the first group to receive vaccination. This survey aimed at the level of acceptance to the COVID-19 vaccine and predictors of non-acceptance in HCWs. Method This was a cross-sectional study design and data were collected through 3rd December 2020 and February 14th, 2021. An English questionnaire was distributed through social media platforms and administration of affiliate hospitals along with snowball sampling for private hospitals. Results Out of 5,237 responses, 3,679 (70.2%) accepted COVID-19 vaccination and 1,284 (24.5%) wanted to delay until more data was available. Only 5.2% of HCWs rejected being vaccinated. Vaccine acceptance was more in young (76%) and female gender (63.3%) who worked in a tertiary care hospital (51.2%) and were direct patient care providers (61.3%). The reason for rejection in females was doubtful vaccine effectiveness (31.48%) while males rejected due to prior COVID-19 exposure (42.19%) and side effect profile of the vaccine (33.17%). Logistic regression analysis demonstrated age between 51–60 years, female gender, Pashtuns, those working in the specialty of medicine and allied, taking direct care of COVID-19 patients, higher education, and prior COVID-19 infection as the predictors for acceptance or rejection of COVID-19 vaccine. Conclusion In conclusion, this survey suggests that early on in a vaccination drive, majority of the HCWs in Pakistan are willing to be vaccinated and only a small number of participants would actually reject being vaccinated.

scholarly journals COVID-19 in Africa: Survey Analysis of Impact on Health-Care Workers

2021 ◽  
Author(s):  
Nasreen S. Quadri ◽  
Amir Sultan ◽  
Sophia Ibrahim Ali ◽  
Mirghani Yousif ◽  
Abdelmajeed Moussa ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Statistical Significance ◽  
Virus Transmission ◽  
Sources Of Information ◽  
Survey Analysis ◽  
Care Workers ◽  
Ongoing Support ◽  
The Impact ◽  
E Mail

As coronavirus disease 2019 (COVID-19) spreads across Africa, little is known about the impact of the pandemic on health-care workers (HCWs) in the region. We designed an anonymous survey distributed via e-mail and phone messaging to 13 countries through the African Hepatitis B Network. We obtained 489 analyzable responses. We used risk ratio analysis to quantify the relationship between binary variables and χ2 testing to quantify the statistical significance of these relationships. Median age of respondents was 30 years (interquartile range, 26–36 years) and 63% were physicians. The top three sources of information used by HCWs for COVID-19 management included the Ministry of Health of each country, the WHO, and social media. Forty-nine percent reported a decrease in income since the start of the pandemic, with the majority experiencing between a 1% and a 25% salary reduction. Sixty-six percent reported some access to personal protective equipment; only 14% reported appropriate access. Moreover, one third of respondents reported no availability of ventilators at their facility. Strikingly, the percentage of HCWs reporting never feeling depressed changed from 61% before the pandemic to 31% during the pandemic, with a corresponding increase in daily depressive symptoms from 2% to 20%. Most respondents (> 97%) correctly answered survey questions about COVID-19 symptoms, virus transmission, and prevention. Our survey revealed African HCWs face a variety of personal and professional context-dependent challenges. Ongoing support of HCWs through and after the COVID-19 pandemic is essential.

scholarly journals Acceptance of COVID-19 Vaccine in Pakistan Among Health Care Workers

2021 ◽  
Author(s):  
Asmara Malik ◽  
Jahanzeb Malik ◽  
Uzma Ishaq
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Tertiary Care ◽  
Female Gender ◽  
Direct Patient Care ◽  
Care Hospital ◽  
Care Providers ◽  
Snowball Sampling ◽  
Cross Sectional ◽  
Care Workers

AbstractObjectiveAcceptance of the COVID-19 vaccine will impart a pivotal role in eradicating the virus. In Pakistan, health care workers (HCWs) are the first group to receive vaccination. This survey aimed at the level of acceptance to the COVID-19 vaccine and predictors of non-acceptance in HCWs.MethodThis was a cross-sectional study design and data were collected through 3rd December 2020 and February 14th, 2021. An English questionnaire was distributed through social media platforms and administration of affiliate hospitals along with snowball sampling for private hospitals.ResultsOut of 5,237 responses, 3,679 (70.25%) accepted COVID-19 vaccination and 1,284 (24.51%) wanted to delay until more data was available. Only 0.05% of HCWs rejected being vaccinated. Vaccine acceptance was more in young (76%) and female gender (63.3%) who worked in a tertiary care hospital (51.2%) and were direct patient care providers (61.3%). The reason for rejection in females was doubtful vaccine effectiveness (31.48%) while males rejected due to prior COVID-19 exposure (42.19%) and side effect profile of the vaccine (33.17%). Logistic regression analysis demonstrated age between 51-60 years, female gender, Pashtuns, those working in the specialty of medicine and allied, taking direct care of COVID-19 patients, higher education, and prior OCVID-19 infection as the predictors for acceptance or rejection of COVID-19 vaccine.ConclusionA high overall acceptance rate was observed among HCWs, favoring a successful nationwide vaccination program in Pakistan.

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