Browsing by Author "Oban, V."

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    Bibliometric Analysis of Publications on Stigmatization in Psychiatric Nursing Literature
    (Kare Publishing, 2024) Dikeç, G.; Sarıtaş, M.; Oban, V.
    Objectives: In the past two decades, the number of publications on stigma has increased in the literature. This study aimed to conduct a bibliometric analysis of publications related to stigmatization in the psychiatric nursing literature. Methods: In this study, a search was performed on the PubMed database on September 11, 2022, with the Medical Searching Terms “(Stigmatization [Title OR Abstract] OR Social Stigma [Title OR Abstract]) OR (Stigma [Title OR Abstract] OR Stereotyping [Title OR Abstract] OR Discrimination [Title OR Abstract]) AND (Psychiatric Nursing [Title OR Abstract] OR Nursing [Title OR Abstract]).” Between 1990 and 2022, 10,571 studies published in English, available in full text, and published in journals indexed with SCI, SSCI, and ESCI were found. Results: The number of published articles reached the highest number in 2020, with an increase of 4.05 times in 30 years; it was determined that 92.8% of the publications were of the descriptive study, and Happell was the most productive author in this field. Frequently, articles were published in the Journal of Psychiatric and Mental Health Nursing (n=762), Journal of Psychosocial Nursing and Mental Health Services (n=550), International Journal of Mental Health Nursing (n=480), Issues in Mental Health Nursing (n=445), and Journal of Advanced Nursing (n=429). It was determined that the top five most frequently repeated keywords were humans, female, psychiatric nursing, male, and adult, respectively. Conclusion: The findings obtained from this study can provide information about the number of publications, research types, researchers, and institutions, as well as give ideas for new research strategies in psychiatric nursing literature. Establishing cooperation between institutions and authors can guide psychiatric nurses in creating projects to reduce stigma. © 2024 by Journal of Psychiatric Nursing-Available.
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    A Sentiment Analysis of Turkish Tweets Shared in Nursing Week During the Pandemic
    (Association of Executive Nurses, 2022) Doğan, M.B.; Oban, V.; Dikeç, G.
    Aim: This study aimed to conduct an artificial intelligence-based sentiment analysis of Turkish tweets about nursing during the nursing week during the COVID-19 pandemic. Method: This is a retrospective descriptive survey. Between May 4 and May 19, 2021, Turkish tweets were analyzed using the Python library Tweepy. The search terms “nurse, nursing, and nursing week” were used to analyzed tweets for their positivity, neutrality, or negativity. Results: The analysis of 24,944 tweets revealed that tweets frequently express neutral emotions. The negative tweets frequently discussed issues such as societal gender perception, professionalism, burnout during the pandemic, salaries, inadequate nursing workforce, inequalities, violence against healthcare professionals, and the deaths of nurses. Conclusions: Social media applications can be recommended as important tools for raising awareness of the nursing profession identity, professionalism, visibility, and the perception of society towards nursing, nursing problems, and recommendations for solutions. © 2022 The Authors. Published by Association of Nurse Managers.