UNASSIGNED: The COVID-19 pandemic has exposed healthcare workers (HCWs) to serious risk of infection. The aims of our study were to investigate the epidemiological characteristics and risk factors of SARS-CoV-2 infection among HCWs, and evaluate the vaccine effectiveness (VE) during the Omicron pandemic in Shanghai, China.
UNASSIGNED: Active surveillance of COVID-19 was performed among HCWs who worked in Shanghai General Hospital from December 2022 to January 2023. A case-control study was conducted by questionnaire survey to analyse the infection-related risk factors. A retrospective cohort study was explored to evaluate VE against primary infection.
UNASSIGNED: During the Omicron outbreak, 2,008 of 2,460 (81.6%) HCWs were infected with SARS-CoV-2. The infection rate was higher in women, younger age groups, nurses and medical technicians. Among the 1,742 participants in the questionnaire, 1,463 (84.0%) were tested positive, and 95.1% of them developed symptoms. Most of the infections (53.0%) were acquired outside the hospital. The risk factors associated with higher odds of infection were working in the emergency department (aOR 3.77, 95% CI 1.69-8.38) and medical examination area (aOR 2.47, 95% CI 1.10-5.51). The protective factors associated with lower odds of infection were previous infection with SARS-CoV-2 (aOR 0.01, 95% CI 0-0.07) and receiving four doses of vaccines (aOR 0.40, 95% CI 0.17-0.97). For frontline HCWs, those who had oral-nasal exposure to coworkers were more likely to be infected (aOR 1.74, 95% CI 1.21-2.51). In VE analysis, the risk of primary infection was lower in HCWs who received the emergency heterologous booster (the fourth dose) during the epidemic (aHR 0.25, 95% CI 0.15-0.40), resulting in an adjusted-VE of 75.1%.
UNASSIGNED: In response to future pandemic, it is important for public health policies to aim at protecting HCWs through risk-differentiated infection control measures, strengthening personal protection and recommending vaccination to vulnerable individuals before the arrival of Omicron wave.

The study aimed to evaluate the impact of occupational noise on hearing loss among healthcare workers using audiometry. A longitudinal study was conducted with a six-month follow-up period in a hospital with 21 participants, divided into high-noise-exposure (HNE) and low-noise-exposure (LNE) groups. Mean noise levels were higher in the HNE group (70.4 ± 4.5 dBA), and hearing loss was measured using pure-tone audiometry at baseline and follow-up. The HNE group had significantly higher mean threshold levels at frequencies of 0.25 kHz, 0.5 kHz, 4.0 kHz, and an average of 0.5, 1, 2, and 4 kHz (all p-values < 0.05) after the follow-up period. After adjusting for confounding factors, the HNE group had significantly higher hearing loss levels at 0.25 kHz, 0.5 kHz, and average frequencies of 0.5, 1, 2, and 4 kHz compared to the LNE group at the second measurement. Occupational noise levels above 65 dBA over six months were found to cause significant threshold changes at frequencies of 0.25 kHz, 0.5 kHz, and an average of 0.5-4.0 kHz. This study highlights the risk of noise-induced hearing loss among healthcare workers and emphasizes the importance of implementing effective hearing conservation programs in the workplace. Regular monitoring and assessment of noise levels and hearing ability, along with proper use of personal protective equipment, are crucial steps in mitigating the impact of occupational noise exposure on the hearing health of healthcare workers.

OBJECTIVE: To identify the key infection processes and risk factors in Computed Tomography (CT) examination process within the standard prevention and control measures for the COVID-19 epidemic, aiming to mitigate cross-infection occurrences in the hospital.
METHODS: The case hospital has assembled a team of 30 experts specialized in CT examination. Based on the CT examination process, the potential failure modes were assessed from the perspective of severity (S), occurrence probability (O), and detectability (D); they were then combined with corresponding risk prevention measures. Finally, key infection processes and risk factors were identified according to the risk priority number (RPN) and expert analysis.
RESULTS: Through the application of RPN and further analysis, four key potential infection processes were identified, including \"CT request form (A1),\" \"during the scan of CT patient (B2),\" \"CT room and objects disposal (C2),\" and \"medical waste (garbage) disposal (C3)\". In addition, eight key risk factors were also identified, including \"cleaning personnel does not wear masks normatively (C32),\" \"nurse does not select the vein well, resulting in extravasation of the peripheral vein for enhanced CT (B25),\" \"patient cannot find the CT room (A13),\" \"patient has obtained a CT request form but does not know the procedure (A12),\" \"patient is too unwell to continue with the CT scan (B24),\" \"auxiliary staff (or technician) does not have a good grasp of the sterilization and disinfection standards (C21),\" \"auxiliary staff (or technician) does not sterilize the CT machine thoroughly (C22),\" and \"cleaning personnel lacks of knowledge of COVID-19 prevention and control (C33)\".
CONCLUSIONS: Hospitals can publicize the precautions regarding CT examination through various channels, reducing the incidence of CT examination failure. Hospitals\' cleaning services are usually outsourced, and the educational background of the staff employed in these services is generally not high. Therefore, during training and communication, it is more necessary to provide a series of scope and training programs that are aligned with their understanding level. The model developed in this study effectively identifies the key infection prevention process and critical risk factors, enhancing the safety of medical staff and patients. This has significant research implications for the potential epidemic of major infectious diseases.

The prevalence of lung cancer, a major type of malignant tumor, has been increasing over the years greatly impacting the health of Chinese residents. This study investigates the epidemiological characteristics of lung cancer among healthcare workers in the Hunan Province, as well as the occupational risk factors.
The data analyzed in this study was collected from the largest tumor hospital in the province: the Hunan Provincial Tumor Hospital affiliated with Central South University, School of Medicine. The data collected encompasses input collected between the years of 2004 to 2013 of the population of healthcare workers who were hospitalized for lung cancer treatments. Information was obtained through statistical analysis and telephonic interviews.
The prevalence of lung cancer among healthcare workers was much higher than that of the general population, as revealed by the difference between number of healthcare worker cases per 1,000 cases and number of healthcare workers per 1,000 population in the decade from 2004 to 2013. Analysis of the data further demonstrates that lung cancer prevalence among healthcare workers increases exponentially with age. Although smoking has been shown to increase the incidence of lung cancer to some extent, it is most likely not the main cause of lung cancer. In addition, it appears that the highest rates of lung cancer incidence occurs in mainly in primary general practitioners, medical radiologists, and nurses. The lack of awareness of personal safety measures may place healthcare workers at a greater risk of lung cancer.

UNASSIGNED: It has been suggested that healthcare workers (HCWs) are experiencing massive stressors that threaten their mental health during the COVID-19 pandemic, but little is known about their attitudes and intentions toward seeking professional psychological help. This study aimed to investigate the attitudes and intentions of Chinese HCWs toward seeking professional psychological help during the COVID-19 pandemic and the associated factors.
UNASSIGNED: A total of 1,224 Chinese HCWs working in hospitals were recruited online from 12 hospitals in Hunan province in China for a survey conducted in November 2022. The Chinese version of the attitudes toward seeking professional psychological help scale-short form (ATSPPH-SF) and the general help-seeking questionnaire (GHSQ) were separately used to assess the attitudes and intentions of the respondents toward seeking professional psychological help. Demographic and socio-psychological data were collected using a self-developed questionnaire, the perceived social support scale, the self-stigma of seeking help scale, and the patient health questionnaire-9 scale.
UNASSIGNED: The 1,208 HCWs in the final analysis showed relatively negative attitudes and low intentions toward seeking professional psychological help during the COVID-19 pandemic. Results of the multiple linear regression analysis showed that female sex (p = 0.031), experience of psychological learning (p < 0.001), and social support (p < 0.001) had a positive predictive effect on the attitudes of these HCWs toward seeking professional psychological help, whereas self-stigma of seeking help (p < 0.001) and depressive symptoms (p < 0.001) exerted negative effects. Moreover, experience of psychological learning (p = 0.004) and social support (p < 0.001) had a positive predictive effect on the intentions of these HCWs toward seeking professional psychological help, whereas divorced marital status (p = 0.011) and self-stigma of seeking help (p < 0.001) exerted negative effects.
UNASSIGNED: The overall attitudes and intentions of HCWs toward seeking professional psychological help were not optimistic. Effective interventions targeted at influencing factors should be formulated to promote the professional psychological help-seeking attitudes and intentions of HCWs who are at risk of developing mental health problems.

Little is known about the mediating mechanisms underlying the association between work stress and mental health, especially among primary public health workers (PHWs). We aimed to evaluated the association between work stress and mental health among PHWs, and explore the mediating roles of social support and self-efficacy.
A large-scale cross-sectional survey was conducted among 3,809 PHWs from all 249 community health centers in 16 administrative districts throughout Shanghai, China. Pearson correlation and hierarchical linear regression were used to explore the associations among work stress, social support, self-efficacy and mental health. Structural equation modeling (SEM) was conducted to examine the mediation effects.
The prevalence of depression and anxiety symptoms among primary PHWs was 67.3 and 55.5%, respectively. There is a significant positive direct effect of work stress on mental health (β = 0.325, p < 0.001). Social support and self-efficacy partially mediated the relationship between work stress and mental health, respectively. Meanwhile, the chained mediating effects of social support and self-efficacy also buffered the predictive effects of work stress on anxiety and depression symptoms (β = 0.372, p < 0.001).
Work stress has significant direct and indirect effects on mental health among primary PHWs. Enhancing social support and self-efficacy may be effective psychological interventions to mitigate the effects of work-related stress on mental health. These findings highlight the severity of mental health problems among primary public health workers and provide new evidence for early prevention and effective intervention strategies.

OBJECTIVE: This study aimed to explore the association between workplace violence and turnover intention among Chinese healthcare workers and explore the role of gender as a moderator in this relation.
METHODS: A cross-sectional survey recruited 692 healthcare workers from a single center in a Chinese province. The content included a questionnaire regarding workplace violence, authoritarian leadership, and turnover intention. The moderated mediation effects were analyzed using the PROCESS tool in SPSS and bootstrap method was used to extract 5000 samples to estimate the 95% confidence interval of each effect.
RESULTS: The results indicated that the effect of workplace violence on turnover intention was mediated by authoritarian leadership. In addition, gender moderated the association between authoritarian leadership and turnover intention.
CONCLUSIONS: Healthcare worker managers should establish a workplace violence intervention system and change the leadership style of direct leaders to reduce healthcare workers\' turnover intention.

Workplace violence (WPV) is a prevalent phenomenon, especially in the healthcare setting. WPV against healthcare workers (HCWs) has increased during the COVID-19 epidemic. This meta-analysis determined the prevalence and risk factors of WPV. A database search was conducted across six databases in May 2022, which was updated in October 2022. WPV prevalence among HCWs was the main outcome. Data were stratified by WPV/HCW type, pandemic period (early, mid, late), and medical specialty. WPV risk factors were the secondary outcome. All analyses were conducted through STATA. Newcastle Ottawa Scale evaluated the quality. Sensitivity analysis identified effect estimate changes. A total of 38 studies (63,672 HCWs) were analyzed. The prevalence of WPV of any kind (43%), physical (9%), verbal (48%), and emotional (26%) was high. From mid-pandemic to late-pandemic, WPV (40-47%), physical violence (12-23%), and verbal violence (45-58%) increased. Nurses had more than double the rate of physical violence (13% vs. 5%) than physicians, while WPV and verbal violence were equal. Gender, profession, and COVID-19 timing did not affect WPV, physical, or verbal violence risk. COVID-19 HCWs were more likely to be physically assaulted (logOR = 0.54; 95% CI: 0.10: 0.97). Most healthcare employees suffer verbal violence, followed by emotional, bullying, sexual harassment, and physical assault. Pandemic-related workplace violence increased. Nurses were twice as violent as doctors. COVID-19 healthcare employees had a higher risk of physical and workplace violence.

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UNASSIGNED: During the coronavirus disease 2019 (COVID-19) pandemic, the N95 mask is an essential piece of protective equipment for healthcare workers. However, the N95 mask may inhibit air exchange and odor penetration. Our study aimed to determine whether the use of N95 masks affects the odor discrimination ability of healthcare workers.
UNASSIGNED: In our study, all the participants were asked to complete three olfactory tests. Each test involved 12 different odors. The participants completed the test while wearing an N95 mask, a surgical mask, and no mask. The score for each olfactory test was documented.
UNASSIGNED: The olfactory test score was significantly lower when the participants wore N95 masks than when they did not wear a mask (7 vs. 10, p < 0.01). The score was also lower when the participants wore N95 masks than surgical masks (7 vs. 8, p < 0.01).
UNASSIGNED: Wearing N95 masks decreases the odor discrimination ability of healthcare workers. Therefore, we suggest that healthcare workers seek other clues when diagnosing disease with a characteristic odor.