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  • Küçük Resim
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    COVID-19 salgını döneminde sağlık çalışanlarının iş doyumu
    (DergiPark, 2022) Özaydın, Özlem; Vural, Ayten; Güdük, Özlem
    In this study, it was aimed to reveal the effects of the COVID-19 epidemic on the job satisfaction of healthcare professionals working in a hospital. An online questionnaire containing questions on the socio-demographic characteristics and their working status in the COVID-19 outbreak and the Minnesota Job Satisfaction Scale was applied to healthcare professionals working in a training and research hospital. 268 people volunteered to participate in the study answered the questionnaire between June and August in 2020. The job satisfaction of those who were single, diagnosed with COVID-19, and who had a quarantine process were found lower. The job satisfaction of those who are not actively involved in patient care were higher than others. It was found that the job satisfaction of those working in clinics where COVID19 patients are treated, those staying in temporary accommodation centers during the pandemic, and healthcare professionals with weekly working time of 45 hours or more were lower. It is needed to take measures and encourage healthcare professionals - especially those working in units where COVID-19 patients are treated - to increase their job satisfaction during pandemic. During the pandemic, it is recommended to reduce weekly working hours, support employees who got infected and who had quarantined, and provide healthcare professionals with accommodation under suitable conditions.
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    Investigating The Effect of Perceived Empowerment on Artificial Intelligence Anxiety Levels in Healthcare Workers
    (Birleşik Metal İş Sendikası, 22 Ocak 2025) Güdük, Özden; Vural, Ayten; Dişiaçık, Güler
    The aim of this study is to explore the correlation between AI anxiety and the perceived empowerment of healthcare professionals. An online survey was conducted among healthcare professionals at a training and research hospital. The survey included questions about the participants' socio-demographic characteristics, as well as the AI Anxiety Scale and the Perceived Empowerment Scale. A total of 285 healthcare professionals completed the survey between December 2023 and February 2024. Healthcare professionals AI anxiety at a level slightly above the medium, while their perception of empowerment is high. The level of AI anxiety varied based on factors such as gender, age, total years of work, and the specific unit they work in. Similarly, the perception of empowerment differed among groups based on age, total years of work, and marital status. The study also found a negative relationship between the meaning-competence dimension of perceived empowerment and the AI learning dimension, as well as a positive relationship between the AI sociotechnical blindness dimension. It was found that individuals with a high perception of empowerment are less anxious about learning new information about artificial intelligence, but more anxious about the potentially harmful and dangerous aspects of artificial intelligence. The study suggests that empowerment, as an effective human resource management tool, can be utilized by health managers to alleviate employees' AI nxiety.
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    Investıgatıon Of Turkısh Nurses' Attıtudes Towards Braın Draın
    (Haşim Çapar, 16 Ocak 2024) Özaydın, Özlem; Vural, Ayten; Güdük, Özden
    Background and Aims: In recent years, there has been a significant brain drain in the health sector due to healthcare workers migrating abroad to work. This study analyzes the push and pull factors that prompt nurses to leave the country. Methods: The sample of the cross-sectional and descriptive study consists of 270 nurses working in Istanbul. The researchers used a questionnaire to collect data on the nurses' demographic information, work history, and attitudes toward brain drain. The data collected was analyzed using statistical tests such as Chi-Square, Independent two sample T-test, Kruskal Wallis, and Pearson Correlation test. A statistical significance level of 0.05 was used to determine the significance of the results. Results: The mean age of the nurses was 33.6±8.95 years, and the mean working period was 10.8±9.27 years. Most were female, married, and had a bachelor's degree. Fifteen percent of the participants had attempted to go abroad, 53% were only at the thought stage, and 32% stated that they did not want to go abroad. The scores for both push and pull factors were significantly higher among those who wanted to go abroad than those who did not (p<0.01). Additionally, nurses working in specialized units had more positive thoughts about migration abroad (p<0.05). A negative correlation was found between age and the pull factor score (p<0.05), and working time in the profession was negatively correlated with push and pull factor scores (p<0.01). However, there was no difference in the mean scores of the push and pull factors among those who stated that they wanted to go abroad regarding gender, marital status, length of service, and units of employment. Conclusions and Suggestions: Young nurses, nurses with fewer working years, and nurses working in specialized units have more positive attitudes toward brain drain. Nurses are an integral part of the healthcare workforce, and Türkiye may face severe consequences due to the potential effects of brain drain in the near future. Therefore, policymakers in the healthcare sector must take necessary measures to prevent this from happening.