Healthcare workers are among risk groups in the COVID-19. Even if they are not infected with the disease, they witness the effects of the pandemic. The aim of the study is to determine the factors affecting COVID-19 vaccination status and reasons for vaccine hesitancy of healthcare personnel in our hospital. Firstly, the vaccination status and demographic characteristics of all healthcare personnel was evaluated. After that, a survey was applied to 408 vaccinated and 297 nonvaccinated personnel. Within the first month after the beginning of vaccination, 66% of 3937 healthcare personnel received a COVID-19 vaccine. The number of vaccinated personnel was higher among doctors, master graduates or higher educational levels and basic science-laboratory unit workers. In the surveyed group, being under the age of 50 (OR:1.85), being nondoctor healthcare personnel (nurse/midwife OR:1.78, administrative personnel OR:3.42, patient attendant/cleaning staff OR:4.11, security guard/other OR:2.96), having had the disease before (OR:2.36), not having the flu vaccine (OR:3.24) and hesitancy about other vaccines (OR:6.61) were found to be independent risk factors for not having a COVID-19 vaccine or having it late. The three most common reasons for not getting vaccinated were doubt on the efficacy of the vaccine, distrust of its content, and fear of side effects. Taking steps by considering the main factors of hesitancy among healthcare personnel will increase the vaccine acceptance.

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BACKGROUND: Healthcare personnel are among the COVID-19 risk groups. For this reason, increased absence from work affects the loss of labor. OBJECTIVE: This study aimed to evaluate the workforce loss amongst health personnel working in our hospital due to COVID-19 in a one-year period. METHODS: Workforce loss of healthcare workers was assessed via absenteeism and life expectancy. Loss of workforce for COVID-19 PCR positive or PCR negative but CT findings compatible with COVID-19 and personnel with high-risk exposure for COVID-19 were determined with absenteeism. Healthcare personnel who passed away due to COVID-19 was determined with the consideration of the retirement age and expected life years. RESULTS: Total lost time from work was 14635 days (excluding deaths). Loss of workforce rates resulting from COVID-19 positivity for male employees was greater in comparison to the results for females (p = 0.018). High-risk exposure of healthcare personnel working in clinical sciences was higher than those in other departments (p <  0.001). Total loss in workforce for 3 people passed away was 14 years 5 months, and total life expectancy was 64 years. Healthcare personnel under the age of 40 had less absenteeism than those over 40 years (p <  0.001). CONCLUSIONS: It was observed that all occupational groups working at the hospital were impacted by COVID-19. The two most important factors that influenced absenteeism were the reason for being affected (positivity and high risk) and age. Absenteeism and daily case tracing of healthcare personnel working on the frontlines will aid in both the pandemic control and management of workload for those left behind.

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Purpose: We aimed to compare the short-term outcomes of infants from our level IIIC neonatal intensive care unit (NICU) in two different periods. Method: In this cohort study, data from preterm infants (≤29 weeks and birth weight <1500 g) registered in the Vermont Oxford Network (VON) system were divided into two periods, the first period between January 1, 2005, and December 31, 2009, and the second between January 1, 2010, and December 31,2019.Results: There was no difference in the distribution of preterm infants according to their gestational age subgroups (p=0.169). Although the survival rate increased significantly in the second period (48.1% vs. 64.3%, (p<0.001), there was no difference in terms of survival without morbidity (p=0.480). Conclusion: Analysis of NICU data, through rigorous methods may provide opportunities for the development of quality improvement projects to improve the quality of health care in developing countries.