Risk factors associated with respiratory infectious disease-related presenteeism: a rapid review

Prevalence and risk factors of presenteeism during the COVID-19 pandemic in Korea: analysis of population-based panel data

OBJECTIVES

Defined as attending work while ill, presenteeism is highly prevalent and has negative consequences such as reduced productivity and lower well-being for workers. This study aims to estimate the prevalence of presenteeism among Korean workers during the COVID-19 pandemic and identify the risk factors.

MATERIAL AND METHODS

Using data extracted from the second wave of the Korea Health Panel Survey in 2019-2021, this study assessed experience of presenteeism and the number of presenteeism days as the dependent variable. Independent variables included gender, age group, educational level, employment status, household income quartile, and the presence of chronic conditions. Two generalized estimating equation models were used.

RESULTS

In 2019, 30.6% of participants reported experiencing presenteeism; this decreased to 17.9% in 2020 and 13.5% in 2021. The mean number of presenteeism days decreased from 2.30 days in 2019 to 1.46 days in 2020 and to 1.04 days in 2021. The participants were less likely to experience presenteeism in 2020 and 2021 than in 2019 (OR = 0.48 and OR = 0.36, respectively, p < 0.001). The risk of presenteeism is higher among women, younger age groups, participants with regular employment or on-contract positions, lower income, and chronic conditions than their counterparts. The number of presenteeism days significantly decreased in 2020 and 2021 (β = -0.44 and -0.78, respectively, p < 0.001).

CONCLUSIONS

Workers were less likely to experience presenteeism in 2020 and 2021 than in 2019, and the number of presenteeism days decreased during the COVID-19 pandemic. The risk of presenteeism was associated with worker characteristics. Int J Occup Med Environ Health. 2024;37(6):617-29.

Coronavirus Disease 2019 Infections Among Emergency Health Care Personnel: Impact on Delivery of United States Emergency Medical Care, 2020

STUDY OBJECTIVE

In the early months of the coronavirus disease 2019 (COVID-19) pandemic and before vaccine availability, there were concerns that infected emergency department (ED) health care personnel could present a threat to the delivery of emergency medical care. We examined how the pandemic affected staffing levels and whether COVID-19 positive staff were potentially infectious at work in a cohort of US ED health care personnel in 2020.

METHODS

The COVID-19 Evaluation of Risks in Emergency Departments (Project COVERED) project was a multicenter prospective cohort study of US ED health care personnel conducted from May to December 2020. During surveillance, health care personnel completed weekly electronic surveys and underwent periodic serology and nasal reverse transcription polymerase chain reaction testing for SARS-CoV-2, and investigators captured weekly data on health care facility COVID-19 prevalence and health care personnel staffing. Surveys asked about symptoms, potential exposures, work attendance, personal protective equipment use, and behaviors.

RESULTS

We enrolled 1,673 health care personnel who completed 29,825 person weeks of surveillance. Eighty-nine (5.3%) health care personnel documented 90 (0.3%; 95% confidence interval [CI] 0.2% to 0.4%) person weeks of missed work related to documented or concerns for COVID-19 infection. Health care personnel experienced symptoms of COVID-19 during 1,256 (4.2%) person weeks and worked at least one shift whereas symptomatic during 1,042 (83.0%) of these periods. Seventy-five (4.5%) participants tested positive for SARS-CoV-2 during the surveillance period, including 43 (57.3%) who indicated they never experienced symptoms; 74 (98.7%; 95% CI 90.7% to 99.9%) infected health care personnel worked at least one shift during the initial period of infection, and 71 (94.7%) continued working until laboratory confirmation of their infection. Physician staffing was not associated with the facility or community COVID-19 levels within any time frame studied (Kendall tau's 0.02, 0.056, and 0.081 for no shift, one-week time shift, and 2-week time shift, respectively).

CONCLUSIONS

During the first wave of the pandemic, COVID-19 infections in ED health care personnel were infrequent, and the time lost from the workforce was minimal. Health care personnel frequently reported for work while infected with SARS-CoV-2 before laboratory confirmation. The ED staffing levels were poorly correlated with facility and community COVID-19 burden.

Exploring presenteeism trends: a comprehensive bibliometric and content analysis

Objective

This research will conduct a bibliometric and content analysis of presenteeism from 2000 to 2023. It aims to investigate publication trends, authorship patterns, and significant publications by using presenteeism conceptualizations, measurements, determinants, consequences, and interventions analysis. The study provides valuable insights for researchers, practitioners, and policymakers about understanding and addressing workplace presenteeism issues.

Methods

The research involved conducting a bibliometric study to analyze presenteeism publication trends, authorship patterns, and significant publications. It also explored the evolution of presenteeism research over time, identifying contributing countries, institutions, and writers. The interdisciplinary nature of presenteeism research was emphasized, covering occupational health, psychology, management, and public health. The researchers have used VOS Viewer and R Studio (biblioshiny) for this study.

Results

The study identified several elements influencing presenteeism, such as health issues, work-related factors, organizational culture, and individual characteristics. It further examined the impact of organizational policies, leadership support, employee assistance programs, and health promotion activities in reducing absenteeism and enhancing employee well-being. These findings highlight the importance of addressing these factors to mitigate presenteeism issues and promote a healthier work environment.

Conclusion

This research identified deficiencies in presenteeism research and provided recommendations for future investigations in this field. It emphasized the need for standardized measures and methodologies, longitudinal studies to understand causality, and industry- and population-specific interventions. These insights can guide future research directions and interventions to address presenteeism issues in a rapidly changing work and research landscape.

Factors affecting work productivity and activity impairment among chronic obstructive pulmonary disease patients

Chronic obstructive pulmonary disease (COPD) can negatively affect patients' employment and work-life activities with a significant indirect economic impact. The current study aimed to measure unemployment, work productivity, activity impairment, and their associated factors among COPD patients. A cross-sectional study was conducted in the Chest outpatient clinic, Mansoura University Hospital, Egypt. COPD patients completed an interviewer-administered questionnaire including sociodemographic, occupational data, clinical history, medical research council (mMRC) dyspnea scale, the COPD assessment test (CAT), and work productivity and activity impairment Questionnaire (WPAI-COPD). A total 140 patients were included in the study and 22.1% of them gave up their jobs because of their COPD. Due to COPD, the mean percentage of daily activity impairment was 39.8 among all patients. The mean percentages of absenteeism, presenteeism, and overall work impairment among the 84 working patients were 0.07, 24.4, and 24.5. The CAT score was the significant predictor of all components of WPAI. In conclusion, COPD causes early retirement, high work productivity loss, and impaired daily activities. Higher CAT scores and increased disease severity significantly increase absenteeism, presenteeism, overall work, and activity impairment. Thus, timely diagnosis of COPD with appropriate management can help improve outcomes and lower the disease burden and economic impact.

Socioeconomic impacts of airborne and droplet-borne infectious diseases on industries: a systematic review

BACKGROUND

Recent pandemics have had far-reaching effects on the world's largest economies and amplified the need to estimate the full extent and range of socioeconomic impacts of infectious diseases outbreaks on multi-sectoral industries. This systematic review aims to evaluate the socioeconomic impacts of airborne and droplet-borne infectious diseases outbreaks on industries.

METHODS

A structured, systematic review was performed according to the PRISMA guidelines. Databases of PubMed, Scopus, Web of Science, IDEAS/REPEC, OSHLINE, HSELINE, and NIOSHTIC-2 were reviewed. Study quality appraisal was performed using the Table of Evidence Levels from Cincinnati Children's Hospital Medical Center, Joanna Briggs Institute tools, Mixed Methods Appraisal Tool, and Center of Evidence Based Management case study critical appraisal checklist. Quantitative analysis was not attempted due to the heterogeneity of included studies. A qualitative synthesis of primary studies examining socioeconomic impact of airborne and droplet-borne infectious diseases outbreaks in any industry was performed and a framework based on empirical findings was conceptualized.

RESULTS

A total of 55 studies conducted from 1984 to 2021 were included, reporting on 46,813,038 participants working in multiple industries across the globe. The quality of articles were good. On the whole, direct socioeconomic impacts of Coronavirus Disease 2019, influenza, influenza A (H1N1), Severe Acute Respiratory Syndrome, tuberculosis and norovirus outbreaks include increased morbidity, mortality, and health costs. This had then led to indirect impacts including social impacts such as employment crises and reduced workforce size as well as economic impacts such as demand shock, supply chain disruptions, increased supply and production cost, service and business disruptions, and financial and Gross Domestic Product loss, attributable to productivity losses from illnesses as well as national policy responses to contain the diseases.

CONCLUSIONS

Evidence suggests that airborne and droplet-borne infectious diseases have inflicted severe socioeconomic costs on regional and global industries. Further research is needed to better understand their long-term socioeconomic impacts to support improved industry preparedness and response capacity for outbreaks. Public and private stakeholders at local, national, and international levels must join forces to ensure informed systems and sector-specific cost-sharing strategies for optimal global health and economic security.

The Influence of Organizational Aspects of the U.S. Agricultural Industry and Socioeconomic and Political Conditions on Farmworkers' COVID-19 Workplace Safety

Farmworkers in the U.S. experienced high rates of COVID-19 infection and mortality during the COVID-19 pandemic. Their workplace may have been a significant place of exposure to the novel coronavirus. Using political economy of health theory, this study sought to understand how organizational aspects of the agricultural industry and broader socioeconomic and political conditions shaped farmworkers' COVID-19 workplace safety during the pandemic. Between July 2020 and April 2021, we conducted and analyzed fourteen in-depth, semi-structured phone interviews with Latinx farmworkers in California. Findings show that regulatory oversight reinforced COVID-19 workplace safety. In the absence of regulatory oversight, the organization of the agricultural industry produced COVID-19 workplace risks for farmworkers; it normalized unsafe working conditions and the worker-rather than employer-responsibility for workplace safety. Under these conditions, farmworkers enacted personal COVID-19 preventative practices but were limited by financial hardships that were exacerbated by the precarious nature of agricultural employment and legal status exclusions from pandemic-related aid. Unsafe workplace conditions negatively impacted workplace camaraderie. Study findings have implications for farmworkers' individual and collective agency to achieve safe working conditions. Occupational safety interventions must address the organizational aspects that produce workplace health and safety inequities and disempower farmworkers in the workplace.

Sickness presenteeism in healthcare workers during the coronavirus disease 2019 (COVID-19) pandemic: An observational cohort study

Sickness presenteeism among healthcare workers (HCW) risks nosocomial infection, but its prevalence among HCW with COVID-19 is unknown. Contemporaneous interviews revealed a sickness presenteeism prevalence of 49.8% among 255 HCW with symptomatic COVID-19. Presenteeism prevalence did not differ among HCW with and without specific COVID-19 symptoms or direct patient care.

Presenteeism and mental health of workers during the COVID-19 pandemic: a systematic review

Background

A large number of workers attend work despite being ill. Attending work during sickness can have a number of consequences for the worker (e.g., worsening of physical and mental condition), for co-workers, and for the company, and for service users.

Objectives

The aim of this study was to assess the factors influencing presenteeism and mental health of workers during the COVID-19 pandemic.

Methods

A systematic review following the PRISMA format was conducted in the PubMed, Scopus, Web of Science (WoS), Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo, and ScienceDirect electronic databases in January 2023, using the following key words: Presenteeism, Mental Health, and COVID-19. The eligibility criteria applied were original articles published in English, Spanish, French, German, and Portuguese, workers during the COVID-19 pandemic (data collection date: January 01, 2020 - January 01, 2023), and articles assessing at least one measure of presenteeism and mental health status. Methodological quality was assessed using the critical appraisal tools of the Joanna Briggs Institute. The followed protocol is listed in the International Prospective Register of Systematic Reviews (PROSPERO) with code CRD42023391409.

Results

A total of 25 studies were included in this review recruiting a total of 164,274 participants. A number of factors influencing mental health and sickness presenteeism were identified: (1) mental health-related factors (burnout [in 4 studies], stress [in 9 studies], depression [in 1 study], fear of COVID-19 [in 1 study], no well-being [in 2 studies], etc.); (2) individual factors (health status [in 1 study], being young [in 1 study], workers who experienced interrupted medical care [in 2 studies], having a chronic disease [in 1 study], etc.); (3) factors related to the situation caused by COVID-19 (confinement, symptoms, loss of contract, risk of bankruptcy, etc. [in 1 study each one]); and (4) factors derived from working conditions (organisational support [in 1 study], patient care [in 1 study], work functioning or task performance impairment [in 4 studies], work fatigue [in 2 studies], safety climate [in 1 study], workload [in 1 study], etc.).

Conclusion

Identifying the key determinants of presenteeism and understanding the phenomena and origins of sickness presenteeism will help to create a safe working environment and optimal organisational systems to protect vulnerable workers in a pandemic context.

Systematic review registration

The unique identifier is CRD42023391409.

Disparities in unmet needed paid leave across race, ethnicity and citizenship status among employed Californians: a cross-sectional study

OBJECTIVES

Paid leave is essential for public health in order to prevent presenteeism (i.e., working while sick), provide an economic safety net for workers when ill, and promote family well-being through parental leave. While racial and ethnic disparities in unmet paid leave (or needing but not being able to take paid leave) are well documented, little evidence of the intersecting role of citizenship status exists. This study examined disparities in unmet paid leave across race, ethnicity and citizenship status.

STUDY DESIGN

This was a cross-sectional study of employed adults in California, USA.

METHODS

Weighted, multivariable logistic regressions were used to assess disparities in unmet needed paid leave across race, ethnicity and citizenship status categories, including non-citizen, naturalised, and citizen Latinx and Asian respondents, and naturalised and non-citizen White respondents, relative to US-born White respondents, controlling for demographic, familial, health-related and work-related covariates. This study examined a representative sample of Californian adults using the 2021 California Health Interview Survey (CHIS). A total of 24,453 people completed the CHIS from March to October 2021. This analysis was restricted to individuals who had complete data, were employed at the time of the survey and were part of the study race and ethnic groups of interest, leading to an analytical sample of 12,485 respondents.

RESULTS

While 16.9% of employed Californians reported forgoing needed paid leave, disparities across race, ethnicity and citizenship status were evident. Specifically, 31.8% of non-citizen Latinx respondents, compared to 11% of US-born White respondents, did not use paid leave when they needed it due to fear of job loss, fear of negative impacts on job advancement, employers denying it, lack of information or knowledge regarding the process or ineligibility. In the fully adjusted analyses, respondents identifying as non-citizen Latinx (adjusted odds ratio [aOR] = 2.57, 95% confidence interval [CI] = 1.94-3.40), naturalised Latinx (aOR = 1.90, 95% CI = 1.46-2.48), US-born Latinx (OR = 1.30, 95% CI = 1.06-1.60), non-citizen Asian (aOR = 2.34, 95% CI = 1.69-3.23) and naturalised Asian (aOR = 1.78, 95% CI = 1.35-2.34) had a statistically significantly higher likelihood of experiencing unmet needed paid leave compared to US-born White respondents.

CONCLUSIONS

Despite its importance for health, disparities across race, ethnicity and citizenship status exist in those who experience unmet paid leave. It is recommended that the administrative and enforcement agencies in California further communicate eligibility, facilitate the application process and enforce equitable access to paid leave for all workers.

Contact patterns of UK home delivery drivers and their use of protective measures during the COVID-19 pandemic: a cross-sectional study

OBJECTIVES

To quantify contact patterns of UK home delivery drivers and identify protective measures adopted during the pandemic.

METHODS

We conducted a cross-sectional online survey to measure the interactions of 170 UK delivery drivers during a working shift between 7 December 2020 and 31 March 2021.

RESULTS

Delivery drivers had a mean number of 71.6 (95% CI 61.0 to 84.1) customer contacts per shift and 15.0 (95% CI 11.2 to 19.2) depot contacts per shift. Maintaining physical distancing with customers was more common than at delivery depots. Prolonged contact (more than 5 min) with customers was reported by 5.4% of drivers on their last shift. We found 3.0% of drivers had tested positive for SARS-CoV-2 since the start of the pandemic and 16.8% of drivers had self-isolated due to a suspected or confirmed case of COVID-19. In addition, 5.3% (95% CI 2.3% to 10.2%) of participants reported having worked while ill with COVID-19 symptoms, or with a member of their household having a suspected or confirmed case of COVID-19.

CONCLUSION

Delivery drivers had a large number of face-to-face customer and depot contacts per shift compared with other working adults during this time. However, transmission risk may be curtailed as contact with customers was of short duration. Most drivers were unable to maintain physical distance with customers and at depots at all times. Usage of protective items such as face masks and hand sanitiser was widespread.

Risk factors for school-based presenteeism in children: a systematic review

INTRODUCTION

Children attending school whilst unwell, known as school-based presenteeism, results in negative impacts on education and mental and physical health. We aimed to identify the risk factors for this behaviour.

METHOD

We conducted a systematic search of five databases (11 July 2022) using words associated with school (e.g., school and childcare) and presenteeism (e.g., presenteeism and sick leave). The studies are synthesised according to the risk factors associated with school-based presenteeism and are grouped into themes by related topics.

RESULTS

Our review included 18 studies, with quantitative, qualitative, and mixed-method study designs. Children, parents, and school staff reported past incidents and intentions for future presenteeism. We identified five themes from these reports: perceptions about the illness / signs and symptom(s); children's characteristics; children's and parents' motivations and attitudes towards school; organisational factors; and school sickness policy. Increased risk of school-based presenteeism was commonly linked to symptoms that were perceived low in severity and unidentifiable, children with a high school absence record, disbelief in children's illness, unsupportive employers, vague school policies and financial consequences.

CONCLUSIONS

School-based presenteeism is complex due to the competing interests of the multiple individuals involved, such as children, parents, and school staff. Sickness policies need to include clear and specific guidance about illness and the signs and symptoms of diseases and should be communicated to all relevant individuals to mitigate against discrepancies in how the policy is interpreted. Furthermore, parents and school staff need support, such as financial and childcare, to be able to manage children when they are unwell.

Modelling the impact of non-pharmaceutical interventions on workplace transmission of SARS-CoV-2 in the home-delivery sector

OBJECTIVE

We aimed to use mathematical models of SARS-COV-2 to assess the potential efficacy of non-pharmaceutical interventions on transmission in the parcel delivery and logistics sector.

METHODS

We devloped a network-based model of workplace contacts based on data and consultations from companies in the parcel delivery and logistics sectors. We used these in stochastic simulations of disease transmission to predict the probability of workplace outbreaks in this settings. Individuals in the model have different viral load trajectories based on SARS-CoV-2 in-host dynamics, which couple to their infectiousness and test positive probability over time, in order to determine the impact of testing and isolation measures.

RESULTS

The baseline model (without any interventions) showed different workplace infection rates for staff in different job roles. Based on our assumptions of contact patterns in the parcel delivery work setting we found that when a delivery driver was the index case, on average they infect only 0.14 other employees, while for warehouse and office workers this went up to 0.65 and 2.24 respectively. In the LIDD setting this was predicted to be 1.40, 0.98, and 1.34 respectively. Nonetheless, the vast majority of simulations resulted in 0 secondary cases among customers (even without contact-free delivery). Our results showed that a combination of social distancing, office staff working from home, and fixed driver pairings (all interventions carried out by the companies we consulted) reduce the risk of workplace outbreaks by 3-4 times.

CONCLUSION

This work suggests that, without interventions, significant transmission could have occured in these workplaces, but that these posed minimal risk to customers. We found that identifying and isolating regular close-contacts of infectious individuals (i.e. house-share, carpools, or delivery pairs) is an efficient measure for stopping workplace outbreaks. Regular testing can make these isolation measures even more effective but also increases the number of staff isolating at one time. It is therefore more efficient to use these isolation measures in addition to social distancing and contact reduction interventions, rather than instead of, as these reduce both transmission and the number of people needing to isolate at one time.

Influenza-Like Symptom Incidence, Illness-Associated Expenses, and Economic Impact Among Healthcare Personnel in Thailand: A Prospective Observational Cohort Study (2020-2021)

OBJECTIVES

We estimated influenza-like symptom (ILS) incidence among healthcare personnel (HCP) in four hospitals and the economic impact due to ILS in the Thai HCP population during July 2020-June 2021 (Thailand's expected 2020 influenza season), which also coincided with the novel coronavirus disease 2019 pandemic.

METHODS

We followed HCP, in a prospective observational cohort, weekly for ≥1 of: muscle pain, cough, runny nose/nasal congestion, sore throat, or difficulty breathing. We fitted population-averaged Poisson regression models to identify factors associated with acquiring ILS and to calculate ILS incidence. We applied epidemiologic parameters to Thailand's HCP population (227 349 persons) to estimate economic impact.

RESULTS

Of 2184 participants, adjusted all-cause ILS incidence was 6.1 episodes per 100 person-years (95% confidence interval 3.4-10.9). Among Thailand's HCP population, 13 909 ILS episodes were estimated to occur annually and would result in US$235 135 economic loss. Controlling for study site and calendar month, factors associated with acquiring ≥1 ILS versus no ILS included being female, having asthma, and using personal protective equipment 'frequently, but not always'.

CONCLUSIONS

All-cause ILS resulted in considerable economic loss among Thai HCP workforce. These findings underscore the importance of public health interventions to reduce the risk of acquiring ILS.

Investigating Epidemiologic and Molecular Links Between Patients With Community- and Hospital-Acquired Influenza A: 2017-2018 and 2019-2020, Michigan

Background

Hospital-acquired influenza virus infection (HAII) can cause severe morbidity and mortality. Identifying potential transmission routes can inform prevention strategies.

Methods

We identified all hospitalized patients testing positive for influenza A virus at a large, tertiary care hospital during the 2017-2018 and 2019-2020 influenza seasons. Hospital admission dates, locations of inpatient service, and clinical influenza testing information were retrieved from the electronic medical record. Time-location groups of epidemiologically linked influenza patients were defined and contained ≥1 presumed HAII case (first positive ≥48 hours after admission). Genetic relatedness within time-location groups was assessed by whole genome sequencing.

Results

During the 2017-2018 season, 230 patients tested positive for influenza A(H3N2) or unsubtyped influenza A including 26 HAIIs. There were 159 influenza A(H1N1)pdm09 or unsubtyped influenza A-positive patients identified during the 2019-2020 season including 33 HAIIs. Consensus sequences were obtained for 177 (77%) and 57 (36%) of influenza A cases in 2017-2018 and 2019-2020, respectively. Among all influenza A cases, there were 10 time-location groups identified in 2017-2018 and 13 in 2019-2020; 19 of 23 groups included ≤4 patients. In 2017-2018, 6 of 10 groups had ≥2 patients with sequence data, including ≥1 HAII case. Two of 13 groups met this criteria in 2019-2020. Two time-location groups from 2017-2018 each contained 3 genetically linked cases.

Conclusions

Our results suggest that HAIIs arise from outbreak transmission from nosocomial sources as well as single infections from unique community introductions.

Modelling the impact of repeat asymptomatic testing policies for staff on SARS-CoV-2 transmission potential

Repeat asymptomatic testing in order to identify and quarantine infectious individuals has become a widely-used intervention to control SARS-CoV-2 transmission. In some workplaces, and in particular health and social care settings with vulnerable patients, regular asymptomatic testing has been deployed to staff to reduce the likelihood of workplace outbreaks. We have developed a model based on data available in the literature to predict the potential impact of repeat asymptomatic testing on SARS-CoV-2 transmission. The results highlight features that are important to consider when modelling testing interventions, including population heterogeneity of infectiousness and correlation with test-positive probability, as well as adherence behaviours in response to policy. Furthermore, the model based on the reduction in transmission potential presented here can be used to parameterise existing epidemiological models without them having to explicitly simulate the testing process. Overall, we find that even with different model paramterisations, in theory, regular asymptomatic testing is likely to be a highly effective measure to reduce transmission in workplaces, subject to adherence. This manuscript was submitted as part of a theme issue on "Modelling COVID-19 and Preparedness for Future Pandemics".

Changes in sick leave utilization at an academic medical center during the COVID-19 pandemic

Purpose

The coronavirus disease 2019 (COVID-19) pandemic drastically changed work arrangements, but COVID-19's impact on employee leave utilization is unclear. The authors sought to understand how sick leave and vacation leave utilization changed during the pandemic among clinical and non-clinical departments at an academic medical center (AMC).

Design/methodology/approach

Clinical departments were defined as work units with a primary mission of providing direct patient care. Per-person, per-month leave utilization data were obtained from the AMC's time-keeping system for 3 clinical departments and 4 non-clinical departments in the first 12 months of the pandemic and the preceding 12 months. Monthly data for each department were analyzed with mixed-effects regression.

Findings

Available data represented 402 employees from 3 clinical departments and 73 employees from 4 non-clinical departments. The authors found no statistically significant change in sick leave utilization among either clinical or non-clinical departments. Vacation leave utilization decreased during the pandemic by 5.9 h per person per month in non-clinical departments (95% confidence interval [CI]: −8.1, −3.8; p < 0.001) and by 3.0 h per person per month in clinical departments (95% CI: −4.3, −1.7; p < 0.001).

Originality/value

Among employees in clinical departments, the authors found no increase in sick leave utilization and a decrease in vacation utilization. These findings are concerning for presenteeism, risk of burnout or understaffing resulting in workers' inability to take time away from work in clinical departments.

Association between sickness presenteeism and depressive symptoms in Korean workers during the COVID-19 pandemic: A cross-sectional study

BACKGROUND

During the COVID-19 pandemic, Korean workers have reported various types of sickness presenteeism (SP: continuing to attend work during illness). Understanding SP through mental health perspectives will help to make practical strategy for better working conditions. We examined the association between SP and depression among Korean workers during the COVID-19 pandemic in relation with the socioeconomic and lifestyle factors.

METHODS

Data from the 2020 Korean Community Health Survey were used as a representative nationwide sample dataset. We surveyed the experience of depression in the last two weeks from individuals who worked more than a week recently. We investigated the associations between SP and depressive symptoms. Depressive symptoms were scored using the Patient Health Questionnaire-9 (PHQ-9). Logistic regression analysis was performed to examine the significance of the associations.

RESULTS

Analysis of the data obtained from 84,514 participants revealed that 1700 (2.2 %) participants reported experiencing depressive symptoms in 2020. Employees with SP showed higher association with depressive symptoms than employers or self-employed individuals (OR = 2.18, 95 % CI: 1.85, 2.56 among employees vs. OR = 1.76, 95 % CI: 1.29, 2.40 among employers or self-employed individuals).

CONCLUSION

SP has become more prominent during the COVID-19 pandemic. A protective strategy against SP among vulnerable workers is necessary for a healthier and safer society.

A Cluster of Health Symptoms After a Law Enforcement Operation: A Case Study

Law enforcement officers (LEOs) often encounter rapidly changing and uncontrolled situations that expose them to various hazards. A law enforcement agency requested an evaluation by the National Institute for Occupational Safety and Health (NIOSH) when multiple LEOs reported illness after executing a search warrant and taking a suspect into custody. NIOSH investigators interviewed LEOs and reviewed medical records, forensic laboratory results for collected evidence, and environmental testing results of samples taken after the operation. Two-thirds (25 of 38) of LEOs who participated in the operation reported ≥1 symptom. Eleven LEOs met a case definition for influenza-like illness (ILI). Members of one unit were more likely to have ILI than non-members (prevalence ratio (PR), 4.1; 95% confidence interval (CI): 1.3-13.0; p = 0.01). Influenza vaccination was associated with a lower prevalence of ILI (PR, 0.2; 95% CI, 0.1-0.9; p = 0.02). Preventing employees from working while ill and annual influenza vaccination might prevent similar occurrences.

Lost time: COVID-19 indemnity claim reporting and results in the Wisconsin workers' compensation system from March 12 to December 31, 2020

BACKGROUND

The COVID-19 pandemic introduced a new compensable infectious disease to workplaces.

METHODS

This was a descriptive analysis of Wisconsin COVID workers' compensation (WC) claims between March 12 and December 31, 2020. The impact of the presumption law (March 12 to June 10, 2020) was also evaluated.

RESULTS

Less than 1% of working-age residents with COVID-19 filed a claim. COVID-19 WC claim rates (per 100,000 FTE) were notably low for frontline industry sectors such as Retail Trade (n = 115), Manufacturing (n = 88), and Wholesale Trade (n = 31). Healthcare workers (764 claims per 100,000 FTE) comprised 73.2% of COVID-19 claims. Most claims (52.8%) were denied and the proportion of denied claims increased significantly after the presumption period for both first responders and other occupations.

CONCLUSION

The presumption law made benefits accessible primarily to first responders. Further changes to WC systems are needed to offset the individual and collective costs of infectious diseases.

Forecasting the transmission trends of respiratory infectious diseases with an exposure-risk-based model at the microscopic level

Respiratory infectious diseases (e.g., COVID-19) have brought huge damages to human society, and the accurate prediction of their transmission trends is essential for both the health system and policymakers. Most related studies focus on epidemic trend forecasting at the macroscopic level, which ignores the microscopic social interactions among individuals. Meanwhile, current microscopic models are still not able to sufficiently decipher the individual-based spreading process and lack valid quantitative tests. To tackle these problems, we propose an exposure-risk-based model at the microscopic level, including 4 modules: individual movement, virion-laden droplet movement, individual exposure risk estimation, and prediction of transmission trends. Firstly, the front two modules reproduce the movements of individuals and the droplets of infectors' expiratory activities, respectively. Then, the outputs are fed to the third module to estimate the personal exposure risk. Finally, the number of new cases is predicted in the final module. By predicting the new COVID- 19 cases in the United States, the performances of our model and 4 other existing macroscopic or microscopic models are compared. Specifically, the mean absolute error, root mean square error, and mean absolute percentage error provided by the proposed model are respectively 2454.70, 3170.51, and 3.38% smaller than the minimum results of comparison models. The quantitative results reveal that our model can accurately predict the transmission trends from a microscopic perspective, and it can benefit the further investigation of many microscopic disease transmission factors (e.g., non-walkable areas and facility layouts).

The impact of a comprehensive coronavirus disease 2019 (COVID-19) infection prevention bundle on non–COVID-19 hospital-acquired respiratory viral infection (HA-RVI) rates

After implementing a coronavirus disease 2019 (COVID-19) infection prevention bundle, the incidence rate ratio (IRR) of non–severe acute respiratory coronavirus virus 2 (non–SARS-CoV-2) hospital-acquired respiratory viral infection (HA-RVI) was significantly lower than the IRR from the pre–COVID-19 period (IRR, 0.322; 95% CI, 0.266–0.393; P < .01). However, HA-RVIs incidence rates mirrored community RVI trends, suggesting that hospital interventions alone did not significantly affect HA-RVI incidence.

Do people with symptoms of an infectious illness follow advice to stay at home? Evidence from a series of cross-sectional surveys about presenteeism in the UK

OBJECTIVES

To assess the percentage of people in the UK with cough, fever or loss of taste or smell who have not had a positive COVID-19 test result who had been to work, to shops, socialised or provided care to a vulnerable person in the 10 days after developing symptoms. To investigate whether these rates differed according to the type of symptom, what the participant thought the cause of their symptoms was and whether they had taken a COVID-19 test.

DESIGN

Four online cross-sectional surveys using non-probability quota sampling method (n=8547).

SETTING

Data were collected across the UK from 20 September to 3 November 2021, via a market research company.

PARTICIPANTS

Aged over 16 years living in the UK.

PRIMARY OUTCOME MEASURES

Out-of-home activity.

RESULTS

498 participants reported one or more symptoms and had not had a positive COVID-19 test result. Within that group, about half of employed participants had attended work while symptomatic (51.2%-56.3% depending on the symptom, 95% CIs 42.2% to 65.6%). Rates of other contact behaviours ranged from 31.4% (caring for a vulnerable person after developing a cough: 95% CI 24.3% to 38.4%) to 61.5% (shopping for groceries or pharmacy after developing a cough: 95% CI 54.1% to 68.9%). There were no differences according to type of symptom experienced or what the participant felt might be the cause. People who had taken a COVID-19 test were less likely to go out shopping for non-essentials than people who had not taken a test.

CONCLUSION

Many people in the UK with symptoms of an infectious disease were not following government advice to stay at home if they believed they had an infectious illness. Reducing these rates may require a shift in our national attitude to the acceptability of people attending work with infectious illnesses.

Epidemiology of SARS-CoV-2 Infection in Italy Using Real-World Data: Methodology and Cohort Description of the Second Phase of Web-Based EPICOVID19 Study

Digital technologies have been extensively employed in response to the SARS-CoV-2 pandemic worldwide. This study describes the methodology of the two-phase internet-based EPICOVID19 survey, and the characteristics of the adult volunteer respondents who lived in Italy during the first (April-May 2020) and the second wave (January-February 2021) of the epidemic. Validated scales and ad hoc questionnaires were used to collect socio-demographic, medical and behavioural characteristics, as well as information on COVID-19. Among those who provided email addresses during phase I (105,355), 41,473 participated in phase II (mean age 50.7 years ± 13.5 SD, 60.6% females). After a median follow-up of ten months, 52.8% had undergone nasopharyngeal swab (NPS) testing and 13.2% had a positive result. More than 40% had undergone serological test (ST) and 11.9% were positive. Out of the 2073 participants with at least one positive ST, 72.8% had only negative results from NPS or never performed it. These results indicate that a large fraction of individuals remained undiagnosed, possibly contributing to the spread of the virus in the community. Participatory online surveys offer a unique opportunity to collect relevant data at individual level from large samples during confinement.