Purpose To identify factors responsible for hospital health care workers' intention to leave their job during the COVID‐19 pandemic. Design A cross‐sectional study was performed. Methods A self‐administered questionnaire was delivered to solicit hospital health care workers' demographics, intention to leave, workplace environment, and changes related to COVID‐19 from July to November 2020 in Taiwan. Principal component analysis was performed to compare group‐related factors. Multiple logistic regression was used to determine the risk factors for the intention of health care workers to leave their job. Findings Among the 1209 health care workers (mean age, 36.3 years) who participated in the study, intention to leave the job was found to be related to factors relating to COVID‐19, including perceived risk, affected social relationships, and increased workload and job stress, after adjustment for demographic and work factors. Supportive administration/management were protective factors against leaving the job. These results were supported by sensitivity analyses. Conclusions Our findings suggest that the intention of health care workers to leave their job during a pandemic is related to potentially modifiable factors relating to the infection itself and work environment. Clinical relevance High perceived risk of COVID‐19, affected social relationaops, and increased workload and job stress were positively associated with the intention of health care workers to leave their job, whereas supportive administration and management were protective factors against leaving the job. Development of workplace strategies is important to help mitigate these above factors, improve psychological wellbeing, and promote workforce stability.
Reporting of percutaneous injuries (PIs) to the Chinese Exposure Prevention Information Network (EPINet) became mandatory for all public and tertiary referral hospitals in Taiwan in 2011. We have estimated the number of microbially contaminated PIs and the national PI incidence using a retrospective secondary data analysis approach to analyse 2011 data from the Chinese EPINet to determine the types of PI, mechanisms of occurrence and associated risks. The results revealed a national estimate of PIs between 6710 and 8319 in 2011. The most common incidents for physicians were disposable syringes, suture needles, and disposable scalpels; while for nurses they were disposable syringes, intravenous catheters, and lancets. About 13·0% of the source patients were seropositive for hepatitis B virus (HBV) surface antigen, 13·8% were seropositive for hepatitis C virus (HCV), and 1·1% seropositive for human immunodeficiency virus (HIV). From these results we estimate that annually 970 full-time healthcare workers (HCWs) would be exposed to HBV, 1094 to HCV, and 99 to HIV. This study improves our understanding of the mechanisms and risks of PIs and informs the development of more efficient preventive measures to protect HCWs from such injuries.
This study analyzed the body composition of individuals with type 2 diabetes (T2DM). In this retrospective chart review study, body composition was measured through multifrequency bioelectrical impedance analysis (InBody 770). Body composition assessments were conducted in individuals with T2DM, who were aged ≥18 years. The parameters included body mass index (BMI), body fat mass (BFM), fat-free mass (FFM), visceral fat area, percent body fat (PBF), appendicular skeletal muscle mass (ASM), and skeletal muscle index (SMI). One-way ANOVA and independent t-tests were used to calculate differences in body composition distribution by age and sex. A total of 2404 participants were recruited. The prevalence of overall low muscle mass and sarcopenic obesity was 28.0% and 18.7%, respectively, which increased with age. The overall prevalence of obesity when PBF was used was 71.5%, which was higher than that when BMI was applied (32.4%). The normal BMI group exhibited a prevalence of low muscle mass of 55.6% and sarcopenic obesity of 34.8%. For both men and women, bodyweight, BFM, FFM, ASM, and SMI all decreased with age. The prevalence of low muscle mass and sarcopenic obesity was high in older adults and people with normal BMI. Using BMI to assess obesity and determine insufficient muscle mass underestimates the prevalence of obesity and neglects the problems of sarcopenia and high body fat in people with normal BMI.
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