WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6

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  • Article
    Gender Differences in Pain Coping Strategies, Body Awareness, Pain Beliefs, and Job Satisfaction Among Healthcare Workers With Musculoskeletal Pain: A Comparative Study
    (Wiley, 2026) Akyurek, Gokcen; Bektas, Selen Aydoner; Sirin, Ecenur; Kinikli, Gizem Irem
    Objective: To examine gender differences in pain coping strategies, body awareness, and pain beliefs, and to determine how these psychosocial factors are associated with job satisfaction among healthcare workers suffering from musculoskeletal pain. Methods: This cross-sectional study was conducted in a private hospital (June 2021-January 2022) using convenience sampling. A total of 116 healthcare workers (72 women, 44 men) completed the Pain Coping Questionnaire, Body Awareness Questionnaire, Pain Beliefs Questionnaire, and Job Satisfaction Scale. Mann-Whitney U, Spearman correlation, and multiple linear regression analyses were performed. The study followed Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. Results: Women had better pain coping (t = 3.416, p = 0.001), body awareness (t = 3.372, p = 0.001), and pain beliefs (t = 2.637, p = 0.001) total scores than men. Women showed significantly higher pain coping, body awareness, and pain belief scores than men (all p < 0.05). The regression models explained 36.4% of the variance in job satisfaction among men (R-2 = 0.364, p < 0.001) and 6.6% among women (R2 = 0.066, p = 0.029). Conclusion: It is important to consider gender-specific differences in pain coping, body awareness, and pain beliefs when designing interventions aimed at improving job satisfaction among healthcare workers with musculoskeletal pain.
  • Conference Object
    Effects of Blue Led Light Exposure on Early Development and Craniofacial Morphology in Zebrafish Embryos
    (Wiley, 2026) Unal, I; Karagoz, A.; Emekli-Alturfan, E.; Mizrak, Z.; Beler, M.; Egilmezer, G.; Akkus-Yaylamis, E., I
  • Article
    Evaluating Artificial Intelligence–Generated Nursing Care Plans: A Scenario-Based Comparative Study of Accuracy, Completeness, Quality, and Readability
    (Wiley, 2026) Basut, Elif Aylin; Konyar, Mukaddes; Eden, Arzu Baygul; Akyaz, Dilek Yilmaz; Baygul Eden, Arzu; Yilmaz Akyaz, Dilek; Cakir, Gokce Naz; Tufekci, Seyma; Esim, Deniz
    Aim This study aimed to evaluate the ability of three generative artificial intelligence tools (ChatGPT, Gemini and DeepSeek) to generate clinically accurate, comprehensive, and readable nursing care plans aligned with standardised nursing taxonomies (North American Nursing Diagnosis Association International, Nursing Interventions Classification, and Nursing Outcomes Classification). The study further explored variations in tool performance across different nursing specialties.Design A descriptive comparative design was used.Methods Ten expert-validated clinical scenarios representing five nursing specialties (Fundamentals of Nursing, Medical, Surgical, Paediatric and Psychiatric Nursing) were presented to the three artificial intelligence tools. Each tool responded to four standardised prompts based on the latest North American Nursing Diagnosis Association International, Nursing Interventions Classification and Nursing Outcomes Classification taxonomies. Outputs were assessed for quality, accuracy, completeness and readability by expert evaluators using validated scales.Results All tools produced nursing care plans of moderate-to-high quality. DeepSeek demonstrated slightly higher accuracy and completeness compared with Gemini and ChatGPT. Surgical nursing scenarios yielded the highest performance, likely reflecting the more protocolised and pathway-driven nature of perioperative care. However, all outputs were incomplete and written at a college-level readability, limiting accessibility for clinical use.Conclusion Generative artificial intelligence tools can support the production of structured nursing care plans requiring expert review and adaptation, particularly in less standardised clinical domains, but their limitations in completeness and readability indicate they should be regarded only as preliminary drafts requiring expert review and adaptation.Impact The study examined whether generative artificial intelligence can reliably assist in creating nursing care plans. All tools performed moderately well, with DeepSeek showing slight advantages, but outputs were incomplete and difficult to read. Findings are relevant to clinical nurses, educators, healthcare managers and policymakers worldwide who are exploring artificial intelligence in nursing workflows.Reporting Method This study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.Patient or Public Contribution This study did not include patient or public involvement in its design, conduct or reporting.
  • Article
    Nurses on the Frontline of Disaster: A Qualitative Metasynthesis of Post-Earthquake Care Experiences
    (Wiley, 2026) Kolac, Nurcan; Taylan, Secil; Eroglu, Nermin
    Background Earthquakes generate urgent and complex care needs, positioning nurses as key responders. Exploring their post-earthquake care experiences is vital for strengthening disaster preparedness and nursing practice.Aim This study aimed to synthesise qualitative evidence on nurses' experiences of providing care in the aftermath of earthquakes.Study Design This research was conducted through a systematic review and meta-synthesis of qualitative studies. The data were analysed using thematic analysis. The qualitative systematic review was conducted using Sandelowski and Barroso's four-step meta-synthesis methodology. This metasynthesis study, conducted in accordance with the PRISMA statement, is registered in PROSPERO. The following electronic databases and platforms were used for the literature review: MEDLINE, Academic Search Ultimate, CINAHL Complete, Complementary Index, Supplemental Index, Directory of Open Access Journals and WOS.Findings Based on 27 included studies, the research identified four main themes and 13 sub-themes related to nurses' post-earthquake care experiences. These themes were: (1) early post-earthquake nursing challenges, (2) conflict experiences, (3) valued experiences and methods of coping with challenges and (4) impact of rescue experiences.Conclusions This research highlighted nurses' post-earthquake care experiences, emphasising how they overcame challenges, redefined their profession and emerged stronger. It also identified the limitations and facilitators within the post-earthquake care environment, providing valuable insights for enhancing care settings during future earthquakes.Relevance to Clinical Practice This study identified limitations and facilitators in the post-earthquake care environment of clinical settings, providing valuable insights to improve care environments during future earthquakes.
  • Article
    Verification Trials Can Create the Illusion of VO2max in Addition to Contributing to Its Confirmation
    (Wiley, 2026) Cabuk, Refik; Alp, Egemen; Murias, Juan Manuel; Karsten, Bettina
    This study examined whether constant-workload verification trials performed at intensities below, at, and above the ramp-incremental peak power output (PPO) contribute to confirming maximal oxygen uptake (VO2max). Fifteen trained to well-trained male cyclists (VO2max: 63.6 +/- 5.6 mL & centerdot;kg(-1)& centerdot;min(-1)) completed maximal ramp testing followed by seven randomized verification trials (80%-110% PPO at 5% intervals) on separate days. Differences in VO2 responses were analyzed using linear mixed-effects models. Effect size was calculated using Hedges' g. The peak VO2 attained during the verification trials was expressed relative to the ramp-derived VO2max and classified as lower (< 95%), within normal variability (95%-105%), or higher (> 105%). The peak VO2 values at 80%, 105%, and 110% PPO were significantly lower than ramp-derived VO2max (p < 0.05), whereas no significant differences were observed at 85%, 90%, and 95% PPO. Effect sizes were small at 85%-95% PPO (Hedges' g = 0.29-0.32), medium at 100%-105% PPO (Hedges' g = 0.63-0.66), and large at 80% and 110% PPO (Hedges' g = 1.21-1.34). Of 105 verification trials, 81 were within +/- 5% of ramp VO2max, 22 were lower (mainly at 80% and 110% PPO), and two exceeded ramp VO2max (at 85% and 95% PPO). Although verification trials did not meaningfully contribute to the verification of VO2max, trials performed at 85%-95% PPO provided the best chances of confirming VO2max in trained individuals. Interpretation of verification trials relative to ramp-derived PPO is protocol dependent, which may limit generalizability across different ramp designs.
  • Article
    Investigating the Personal and Professional Variables That Predict Discrimination Attitudes Among Nurses and Physicians
    (Wiley, 2025) Tekin, Suat; Seren, Arzu Kader Harmanci; Harmanci Seren, Arzu Kader
    Introduction: Healthcare professionals are expected to provide holistic care to their patients without discrimination based on factors such as religion, language, age, gender, and race. Design: It is a cross-sectional descriptive study. Aim: The study aimed to examine the discriminatory attitudes of nurses and physicians working in hospitals in Sanliurfa and to define whether the personal and professional variables predict discriminatory attitudes among them. Methods: The STROBE reporting method, which is one of the EQUATOR guidelines, was followed. Data were collected from a total of 376 physicians and nurses through online platforms between March and June 2020 via the information form and the Discrimination Attitude Scale. Results: The discriminatory attitudes of the nurses and physicians participating in the study were above average. The total discriminatory attitudes scores of the participants varied according to sex, income levels, profession, hospital experience, and unit (p < 0.05). In addition, sex, profession and unit variables predicted the total discriminatory attitudes of nurses and physicians (p < 0.05). Conclusion: Although nurses' and physicians' discriminatory attitudes scores were generally higher, the highest mean score was in the subscale "discrimination against other nationalities." Sex, profession, and unit variables predicted the total discriminatory attitudes of nurses and physicians. Further quantitative and qualitative research is needed to understand the reasons for the highest discriminatory attitudes towards other nationalities among healthcare professionals, to overcome this issue. Clinical Relevance: Nursing or healthcare managers, as well as policymakers, may consider the predictive variables when staffing and training nurses and physicians working in similar regions and conditions.
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    Mitigating Bisphenol A-Induced Oxidative Stress in Serum: The Protective Effect of Probiotics
    (Wiley, 2025) Dede, P.; Pazarbasi, S. Ede; Sener, G.; Tunali-Akbay, T.
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    Structural and Biochemical Alterations in Zebrafish Embryos Exposed to Toothpastes with Different Detergent Contents
    (Wiley, 2025) Karagoz, A.; Beler, M.; Egilmezer, G.; Unal, I.; Cansiz, D.; Emekli, E.
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    Toothpastes with Different Detergent Contents Affect Morphogenesis and Redox System Parameters in Zebrafish Embryos
    (Wiley, 2024) Karagoz, A.; Beler, M.; Unal, I.; Cansiz, D.; Emekli-Alturfan, E.
  • Article
    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; Harmanci Seren, Arzu K.
    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.