Browsing by Author "Turan, Suzan"

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Artificial Intelligence in Nursing Practice: A Qualitative Study of Nurses' Perspectives on Opportunities, Challenges, and Ethical Implications
(BMC, 2025) Bodur, Gonul; Cakir, Hanife; Turan, Suzan; Seren, Arzu Kader Harmanci; Goktas, Polat
BackgroundThe study aims to explore nurses' views on the effects of artificial intelligence (AI) in nursing, focusing on their understanding, practical applications, ethical considerations, and perceived opportunities and threats.MethodsThis qualitative study used semi\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:-$$\end{document}structured interviews to gain comprehensive insights from clinical nurses, adhering to the Standards for Reporting Qualitative Research for methodological rigor. After obtaining ethical approval, researchers conducted semi\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:-$$\end{document}structured interviews with 25 clinical nurses. The interviews explored nurses' perceptions of AI, including its basic concepts, applications in nursing practice, ethical and social implications, and potential benefits and drawbacks.ResultsThe analysis identified four overarching themes: (1) Nurses' Conceptualizations of Artificial Intelligence, (2) Opportunities of AI in Nursing Practice, (3) Threats of AI in Nursing Practice, and (4) Ethical and Psychological Concerns in AI-Based Nursing Practice. The findings revealed that nurses had a foundational understanding of AI and its definitions. They acknowledged both the positive and negative impacts of AI technologies on their practice. Nurses expressed that AI could reduce workload, enhance patient care, and improve efficiency. However, they also articulated significant threats, including concerns over professional redundancy, emotional disconnection in caregiving, de-skilling, and the risk of dehumanizing the healthcare environment. Additionally, ethical and psychological concerns emerged, such as ambiguity in accountability, threats to data security and patient safety, unsuitability in psychiatric care contexts, staff surveillance anxiety, and risks of misuse or systemic bias.ConclusionThe study concluded that while nurses possess a basic understanding of AI, the effective and ethical integration of AI technologies in nursing requires targeted training, institutional preparedness, and robust interdisciplinary collaboration. To ensure AI complements rather than compromises nursing values, it is imperative to equip nurses with skills in digital literacy, ethical reasoning, and critical engagement with AI tools. The findings highlight the necessity of structured education programs and policy development that address both the technological and humanistic dimensions of AI use in healthcare. Future research should actively incorporate patient and public voices to ensure that AI-driven transformations in care remain aligned with the principles of patient-centeredness and human dignity.
Citation - WoS: 5
Citation - Scopus: 5
A Cross-Sectional Survey Study on Homophobia Among Medical, Nursing, Pharmacy, and Other Health Sciences Students
(Routledge Journals, Taylor & Francis Ltd, 2023) Seren, Arzu Kader Harmanci; Bacaksiz, Feride Eskin; Cakir, Hanife; Yilmaz, Sevil; Sukut, Ozge; Turan, Suzan; Maghsoudi, Nurten; Hemşirelik Bölümü
Since the lesbian, gay, bisexual, transgender, and intersex (LGBTI) community may be exposed to violence, discrimination, stigma, exclusion, and maltreatment due to their sexual orientation while accessing healthcare services, understanding, and improving the attitudes of future's health care professionals toward LGBTI individuals seem essential. This descriptive and cross-sectional study aimed to investigate the homophobia among medical, nursing, pharmacy, and healthcare sciences students and examine the related factors. The study included 2,531 students from medicine, nursing, pharmacy, and other health sciences (midwifery, nutrition and dietetics, physiotherapy, management of healthcare facilities) disciplines. Homophobia was measured with the Hudson and Ricketts Homophobia Scale. After getting ethical and institutional approvals, data were collected and analyzed using descriptive and inferential statistical tests. Medical students had the lowest homophobia score, and their mean score was significantly lower than other students. There was a significant difference between students' scores according to years of study, age, sex, acquaintance with LGBTI individuals, providing healthcare services to an LGBTI person, and opinions on providing care. Although homophobia scores of nursing, pharmacy, and other health sciences students were lower than the medical students', policies and expansive content regarding LGBTI should be in place in all health science educational institutes, including medical schools, to prevent students from holding homophobic and prejudicial attitudes against LGBTI individuals.
Why Do Nurses Transfer from Private Hospitals to Public Hospitals in Turkiye? A Descriptive Cross-Sectional Survey Study Considering Working Conditions, Compulsory Citizenship, Presenteeism, and Burnout
(Wiley, 2025) Turan, Suzan; Seren, Arzu K. Harmanci; Hemşirelik Bölümü
This study investigates the reasons behind the transition of nurses from private hospitals to public hospitals in Turkiye, focusing on working conditions, compulsory citizenship behavior, presenteeism, and burnout. The study used a descriptive cross-sectional survey design. The sample consisted of 224 nurses who previously worked in private hospitals and were employed in public hospitals at the time of data collection. Researchers collected data via a questionnaire incorporating demographic questions and validated scales on compulsory citizenship behavior, presenteeism, and burnout. Parametric and nonparametric comparison tests were used to compare participants' experiences in private and public hospitals regarding working conditions. There were statistically significant differences between the groups (p < 0.05). Also, participant nurses' negative organizational behavior experiences scores (compulsory citizenship behavior, presenteeism, and work-related burnout) statistically significantly differed (p < 0.05), considering their scores based on private hospital and public hospital experiences. The study concluded that nurses worked longer and took less leave in private hospitals. Participant nurses also reported that they exhibited more compulsory citizenship presenteeism and experienced a higher rate of work-related burnout while working in private hospitals.