WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
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Article The Practice Environment Scale of the Nursing Work Index Short Form in Turkish: A Psychometric Study(BMC, 2026) Arici, Furkan Cihat; Harmancı Seren, Arzu Kader; Seren, Arzu Kader Harmanci; Ayan, GüzinBackgroundThe work environment is a concept encompassing factors that increase or decrease a nurse's ability to practice the nursing profession competently and provide high-quality care. This study aims to adapt the short form of the Nursing Work Index-Nursing Work Environment Assessment Scale, which is used in many countries to evaluate the nursing work environment, to Turkish.MethodsThe study sample consisted of 711 nurses. For this study, data were collected from the researchers' personal social media accounts (WhatsApp, LinkedIn, and Instagram) between October and December of 2024. The Turkish version of the short form of the Practice Environment Scale from the Nursing Work Environment Index was used to collect the data. After creating the Turkish version of the instrument through translation and back-translation and collecting data, the researchers conducted content validity analyses, construct validity tests, and internal consistency analyses to assess the instrument's psychometric properties.ResultsThe items' content validity ratios were 0.93, and correlation coefficients varied between 0.605 and 0.523. The one structure accounted for 56.122% of the total variance. PES-5 scale findings: chi & sup2;/df 3.76, CFI 0.973, TLI 0.946, SRMR 0.031, RMSEA 0.090, CR 0.62. The standardized factor loadings for the scale items ranged from 0.610 to 0.743. The scale was compatible with its five items and one-factor structure The items' standardized factor loadings ranged from 0.370 to 0.575. The Cronbach's alpha consistency value was 0.804.ConclusionA short form of the practice environment scale of the Nursing Work Index is a valid and reliable tool in Turkish.Article Citation - WoS: 6Citation - Scopus: 6Artificial 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, PolatBackgroundThe 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.