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 Exploring E-Health Literacy Levels among Turkish Women Diagnosed with Breast Cancer: A Cross-Sectional Study(BMC, 2026) Akkurt, Burcu; Coskunsu, Dilber Karagozoglu; Reyhanioglu, Duygu Aktar; Simsek, Mine; Tosun, Anil; Yilmaz, Nergis; Koseoglu, AygulAccess to digital health information has increased for women diagnosed with breast cancer; however, searching, understanding, and interpreting this information requires adequate e-health literacy. This study aimed to determine the e-health literacy levels of women diagnosed with breast cancer and to examine the relationship between e-health literacy and selected sociodemographic and clinical characteristics. In addition, women's awareness of e-health and telerehabilitation concepts, as well as their internet use patterns, were evaluated to inform future digital health initiatives. Data were collected through face-to-face and online methods using an Information Form to assess participant characteristics and the E-health Literacy Scale to measure e-health literacy. The study included 336 voluntary Turkish-speaking women aged 18 years and older diagnosed with breast cancer.The median e-health literacy score on the E-health Literacy Scale was 25 (range: 8-40), with a mean score of 24.6 +/- 7.62. E-health literacy levels were significantly associated with age, educational level, time since diagnosis, and awareness of e-health and telerehabilitation concepts (p < .05), with lower scores observed among older women. In multivariable linear regression analysis, these sociodemographic and care-related factors jointly explained approximately 47% of the variance in e-health literacy levels. Overall, the findings indicate that women with breast cancer in Türkiye have limited awareness of e-health and telerehabilitation concepts, and that e-health literacy levels are significantly associated with age, educational level, time since diagnosis, and awareness of telerehabilitation. These results underscore the importance of developing targeted digital health education initiatives and awareness-based interventions to enhance e-health literacy and support equitable access to digital health services among breast cancer survivors.Conference Object Cervical Stabilization Exercise Training via Telerehabilitation in Individuals with Migraine - A Randomized Controlled Trial(BMC, 2025) Dusgun, E. S.; Karahan, N.; Celenay, S. ToprakArticle Effects of Combined Triflow, Deep Breathing and Coughing Exercises on Postoperative Pulmonary Function After Mitral Valve Replacement: A Randomized Controlled Trial(BMC, 2026) Akinci, Naile; Eren, EsraBackground Postoperative pulmonary complications remain a major cause of morbidity after cardiac valve surgery. Although incentive spirometry (Triflow) is routinely used in postoperative care, evidence regarding the additional benefits of combining Triflow with deep breathing and coughing exercises remains limited. This study aimed to evaluate the effects of combined Triflow, deep breathing, and coughing exercises on postoperative pulmonary function in adult patients undergoing mitral valve replacement. Methods This randomized controlled, single-blind trial was conducted between May and August 2025 in a private hospital in Istanbul. A total of 60 adult patients undergoing mitral valve replacement were randomly allocated to an experimental group (n = 30) or a control group (n = 30) using simple randomization. The experimental group performed Triflow combined with deep breathing and coughing exercises, while the control group performed Triflow alone. Results Postoperative SpO(2) levels were significantly higher in the experimental group at T1 (p = 0.009; 95% CI: 0.46-3.14), T2 (p < 0.001; 95% CI: 1.57-3.43), and T3 (p < 0.001; 95% CI: 2.72-4.54). The FEV1/FVC ratio increased significantly in the experimental group compared with the control group at discharge (p < 0.001; 95% CI: 4.46-6.41). Respiratory rate was significantly higher in the experimental group at T1 (p < 0.001; 95% CI: 1.68-4.45), T2 (p < 0.001; 95% CI: 3.34-6.26), and T3 (p < 0.001; 95% CI: 5.23-8.37). Hematocrit levels were significantly lower in the experimental group at T1 (p = 0.039; 95% CI: -8.32 to - 0.24), T2 (p = 0.007; 95% CI: -8.29 to - 1.40), and T3 (p = 0.034; 95% CI: -6.54 to - 0.28). Pain scores were significantly lower in the experimental group at T1 (p < 0.001; 95% CI: -2.82 to - 1.71) and T2 (p < 0.001; 95% CI: -1.98 to - 1.08). Time to first mobilization was significantly shorter in the experimental group (p < 0.001; 95% CI: -2.94 to - 1.26). No postoperative pulmonary complications were observed in either group. Conclusion The combined application of Triflow, deep breathing, and coughing exercises was associated with significant improvements in postoperative pulmonary function, oxygen saturation, pain reduction, and earlier mobilization compared with Triflow alone in patients undergoing mitral valve replacement. These findings suggest that a structured, combined respiratory exercise protocol may provide additional clinical benefits in the early postoperative period.Article The Relationship Between Nurses Anxiety and Attitudes Towards Artificial Intelligence and Examination of Influencing Factors(BMC, 2026) Nirgiz, Cansu; Sari, Merve Kiymac; Cayli, NazanAim to explore the relationships between nurses'anxiety and attitudes toward artificial intelligence (AI) and the factors associated with them. Background Although AI technologies are increasingly integrated into healthcare, research exploring nurses ' psychological readiness and emotional responses to AI remains limited. Existing studies have primarily focused on nursing students or general healthcare professionals, leaving a gap in understanding how practicing nurses perceive and emotionally adapt to AI within real clinical environments-particularly in T & uuml;rkiye, where digital transformation in healthcare is accelerating. Addressing this gap is essential, as nurses play a pivotal role in ensuring the safe and ethical implementation of AI-driven tools in patient care. Methods This descriptive and correlational study included 562 nurses from 14 branches of a private hospital chain across seven Turkish cities between November 2024 and January 2025.This sample was selected because it represents nurses actively engaged in clinical decision-making within healthcare systems that are rapidly adopting AI technologies. According to a power analysis performed in G*Power (rho = 0.25, alpha = 0.05, power = 0.95), the required sample size was 202 participants. Data were collected through an online questionnaire comprising a Descriptive Information Form, the AI Anxiety Scale, and the General Attitudes toward AI Scale. Descriptive statistics, independent samples t-tests, ANOVA (F), Tukey post hoc test, Pearson correlation, and multiple regression analyses were conducted. Ethical approval was obtained from the Fenerbah & ccedil;e University Ethics Committee, and informed consent was obtained digitally. Results Nurses reported moderate anxiety levels and generally positive attitudes toward AI. Male nurses showed an association with lower anxiety levels and higher positive attitude scores than female nurses. Single individuals and those with higher levels of education showed higher positive attitudes toward AI. Those with 0-3 years of experience in the profession were associated with lower anxiety and higher positive attitude scores. Nurses who used AI in practice, were knowledgeable about its use, or perceived it as reliable showed a relationship with lower anxiety and more positive attitudes. Regression analysis showed that each one-unit increase in the learning and AI configuration subscales of the AI Anxiety Scale was associated with a 0.740-and 0.716-point lower score in the total attitude score, respectively. Conclusion The findings suggest that lower levels of anxiety related to learning and AI configuration are associated with more positive attitudes toward AI. Addressing these specific anxiety domains may be related to the successful integration of AI technologies into clinical practice and could be linked to the digital transformation in healthcare.Article Psychological Effects of Robotic Rehabilitation in Individuals With Spinal Cord Injury: A Narrative Review(BMC, 2025) Ibrahim, Ismail A.; Mounir, Mennatallah M.; Hussein, Omar; Parnian, Nadieh; Sefertas, Ece; Ravanbod, Amin; Arican, Tuna ErenIntroductionSpinal cord injury (SCI) is associated with severe physical, psychological, and social burdens. Robotic rehabilitation, especially robotic-assisted gait training, is increasingly used to improve functional recovery. Nonetheless, its psychological effects which are key to motivation, compliance, and long-term prognosis have received little scrutiny.MethodsWe conducted a narrative review across five databases (PubMed, Web of Science, Scopus, Cochrane, Embase) from inception to January 2025. Studies were included if they evaluated robotic rehabilitation in SCI and reported psychological outcomes. Findings were synthesized thematically into domains of anxiety/technophobia, motivation/engagement, self-efficacy/dependence, and frustration/quality of life.ResultsRobotic systems frequently improved autonomy, motivation, and self-confidence, which corresponded to less depression and a better quality of life. Nevertheless, negative effects including technophobia, frustration from technological malfunction, and loss of self-efficacy from excessive dependence were found. Patient experiences ranged: empowerment and new optimism were reported by some patients, whereas others experienced the devices as complicated, emotionally alienating, or inadequately adjustable.DiscussionRobotic rehabilitation has a dual psychological effect. On one hand, it encourages engagement and emotional resilience; on the other, it carries risks of interdependence and diminished autonomy. There are ethical issues to be resolved access disparities, data protection, and preserving human connection that require careful management. The inclusion of psychological screening, education of patients, and specific goal-setting within protocols can maximize results.ConclusionRobotic rehabilitation is highly capable of promoting progress after SCI if psychological considerations are completely incorporated into rehabilitation interventions. A multimodal approach that is interdisciplinary and ethically solid is required to achieve optimized functional improvement as well as psychosocial health.Article Beyond Age: Understanding How Mindful Eating and Food Label Reading Shape Generational Differences in Health Outcomes – A Cross-Sectional Study(BMC, 2025) Altinok, Oyku; Yalcin, Bahar; Deniz, Melike Seyma; Celikayar, Melike Nur; Sevdin, Sezen; Bingul, Bengi Cetiner; Garipagaoglu, MuazzezBackgroundThe increasing prevalence of obesity and diet-related chronic diseases poses a considerable threat to public health. Consequently, understanding generational differences in dietary behaviors has gained growing importance. This study aims to examine the direct and indirect effects of generational cohort on anthropometric indicators and self-rated diet quality (SRDQ), mediated through mindful eating and food label reading attitudes.MethodThis cross-sectional design study involved 2725 participants from Generations X (n = 786), Y (n = 933), and Z (n = 1006) living in Istanbul, T & uuml;rkiye. Participants' sociodemographic characteristics and anthropometric measurements, including body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR), were recorded. Data on SRDQ were collected, alongside responses to the Mindful Eating Questionnaire and the Food Label Reading Attitude Scale. Descriptive statistics, one-way analysis of variance, and chi-square tests were applied to the data. The direct and indirect effects of generation groups were analyzed using structural equation modeling.ResultsIncreasing mindful eating scores were associated with higher label reading attitude and SRDQ scores, while they were related to lower anthropometric risk indicators. Higher label reading attitudes showed an association with reduced WHR and increased SRDQ. Generation Z participants reported significantly lower scores for mindful eating, label reading attitude, anthropometric measures, and SRDQ than Generation X participants. Lower mindful eating scores were related to increased BMI among Generation Z, whereas lower label reading attitude scores were positively associated with WC and WHR. Furthermore, poor mindful eating and label reading attitudes and the combined effects of low mindful eating and label reading attitudes were linked to lower SRDQ.ConclusionPoor mindful eating and label reading attitudes in Generation Z may threaten long-term health sustainability and increase the risk of developing chronic diseases. Combining generation-specific public health strategies with interventions aimed at improving nutritional literacy and mindful eating habits from an early age could enhance individual and societal health outcomes.Article Evaluating and Comparing Student Responses in Examinations from the Perspectives of Human and Artificial Intelligence (GPT-4 and Gemini)(BMC, 2025) Domanic, Kubra Yildiz; Baycan, Sukran; Yildiz Domanic, KubraBackgroundGenerative Artificial Intelligence (AI) models, such as ChatGPT (GPT-4) and Gemini, offer potential benefits in educational settings, including dental education. These tools have shown promise in enhancing learning and assessment processes, particularly in dental prosthetic technology (DPT) and oral health (OH) programs.ObjectiveThis study aimed to evaluate the accuracy, reliability, and consistency of GPT-4 and Gemini AI models in answering examination questions in dental education. The study focused on multiple-choice questions (MCQs), true/false (T/F) questions, and short-answer questions (SAQs).MethodsAn exploratory study design was used with 30 questions (10 MCQs, 10 T/F, and 10 SAQs) covering key topics in DPT and OH education. ChatGPT and Gemini were tested with the same set of questions on two separate occasions to assess consistency. Responses were evaluated by two independent researchers using a predefined answer key. Data were analyzed using descriptive statistics, the Kappa coefficient for agreement, and the Chi-square test for categorical variables.ResultsChatGPT demonstrated high accuracy in MCQs (90%) and T/F questions (85%) but showed reduced performance in SAQs (60%). Gemini's accuracy ranged between 60% and 70%, with the highest accuracy in SAQs (70%). ChatGPT showed significant consistency across testing dates (Kappa = 0.754; p = 0.001), whereas Gemini's responses were less consistent (Kappa = 0.634; p = 0.001).ConclusionWhile both AI models offer valuable support in dental education, ChatGPT exhibited greater accuracy and consistency in structured assessments. The findings suggest that AI tools can enhance teaching and assessment methods if integrated thoughtfully, supporting personalized learning while maintaining academic integrity.Article 'I Feel Like the Burden of the World Is on My Shoulders': A Phenomenological Qualitative Study on the Life Experiences of Adult Children of Parents with Schizophrenia(BMC, 2025) Pehlivan Saribudak, Tugba; Dag, Zeynep; Ozturk, Ayse; Dikec, GulBackgroundStudies investigating the experiences of adult children of parents with schizophrenia (ACPS) are limited, and no qualitative study examining this issue in T & uuml;rkiye has been previously conducted. This study aimed to examine the life experiences of ACPS providing primary care.MethodsThis phenomenological qualitative study was conducted with 14 ACPS in acute clinics of a regional psychiatric hospital in Istanbul between March and August 2024. Data were collected through in-depth interviews and analyzed using Colaizzi's seven-step analysis method.ResultsData analysis revealed five main themes: (1) Difficult beginning of life, (2) Being a caregiver without receiving care, (3) Emotional storm, (4) Disruption of the flow of life, and (5) Coping. The study found that adult children who cared for their parents could not remember their childhood, had to grow up early without parents, and experienced violence. Adult children had difficulty carrying the burden of care, experienced various emotions at the same time, and care disrupted their lives. They were both using adaptive and maladaptive coping methods.ConclusionsThis study determined that ACPS experienced significant childhood stressors and difficulties providing care in adult life that changed the flow of their daily lives while challenging their ability to cope. Psychiatric nurses have essential tasks to support ACPS in coping with difficult life experiences and reducing their care burdens. They should inform ACPS about schizophrenia, regularly monitor their mental health, and implement initiatives that will protect or improve their mental health.Clinical trial registrationNot applicable.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.