WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
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Article Evaluation of the Effect of Simulation-Based Training Provided to Nurses in the Hospital Environment on Child Neglect and Abuse: Quasi-Experimental Research(Elsevier Science Inc, 2026) Sanci, Yagmur; Genc, Canan; Kokkiz, RukiyeBackground: Child neglect and abuse are major public health concerns, and nurses play a critical role in early recognition. Simulation-based training is a promising method to strengthen knowledge and preparedness. Methods: This quasi-experimental pretest-posttest study was conducted with 20 nurses working in a pediatric emergency unit of a state hospital between March and April 2024. Data were collected using a socio-demographic form and the "Scale for Determining the Knowledge Level of Nurses and Midwives in Diagnosing the Symptoms and Risks of Child Abuse and Neglect." Nurses participated in simulation-based training with a structured scenario, followed by debriefing and posttest. Results: Knowledge scores significantly increased after training, particularly in recognizing physical and behavioral symptoms of abuse. However, improvements were limited in identifying children at higher risk of neglect and abuse. Conclusion: Simulation-based training enhances nurses' knowledge of child abuse recognition and should be integrated into nursing education and in-service programs to improve clinical preparedness. (c) 2026 International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.Article Nurses on the Frontline of Disaster: A Qualitative Metasynthesis of Post-Earthquake Care Experiences(Wiley, 2026) Kolac, Nurcan; Taylan, Secil; Eroglu, NerminBackground 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 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.Article Psychometric Evaluation of the Person-Centred Climate Questionnaire - Staff Version(BMC, 2025) Arici, Furkan Cihat; Harmanci Seren, Arzu Kader; Edvardsson, DavidBackgroundValid and reliable instruments are needed to assess person-centredness that serve as quality care indicators. Person-Centred Climate Questionnaire - staff version is an interculturally used tool to evaluate person-centredness in clinical settings. This study aimed to examine the psychometrics of the tool in the Turkish language.MethodsThis was a methodological study involving a sample of 140 nurses. One of the researchers collected data using the Turkish version of the questionnaire-staff version in a private hospital in Istanbul. After performing the language validity steps, the researchers analysed the content validity ratios of the items and the questionnaire's content validity index, and they performed exploratory and confirmatory factor analysis to validate the construct. The internal consistency of the subdimensions and the questionnaire was determined utilising a Cronbach's Alpha test.ResultsThe content validity ratios of the items ranged from 0.84 to 1, and the correlation coefficients ranged from 0.50 to 0.69. The three-factor structure accounted for 70.40% of the total variance. The items' standardised factor loads were between 0.501 and 1.140. The Cronbach's alpha consistency value was 0.90.ConclusionThe staff version of the questionnaire is an adequately valid and reliable instrument in the Turkish language.Article Citation - WoS: 22Citation - Scopus: 22The Earthquakes in Turkey and Their Effects on Nursing and Community Health(Wiley, 2023) Seren, Arzu Kader Harmanci; Dikec, Guel; Harmanci Seren, Arzu KaderBackgroundSevere damage was experienced in 10 provinces in Turkey, and the north of Syria, with the earthquakes that hit Kahramanmaras at midnight and afternoon on February 6, 2023. AimThe authors aimed to give brief information to the international nursing community about the situation related to earthquakes in the aspects of nurses. ConclusionThese earthquakes caused traumatic processes in the affected regions. Many people, including nurses and other healthcare professionals, died or were injured. The results demonstrated that the required preparedness had not been applied. Nurses went to these areas voluntarily or on assignment and cared for individuals with injured. The universities in the country passed to distance education because of the shortage of safe places for victims. This situation also negatively influenced nursing education and clinical practice by interrupting in-person education one more time after the COVID-19 pandemic. Implications for nursing and nursing policySince the outcomes show a need for well-organized health and nursing care, policymakers may consider getting nurses' contributions to the disaster preparedness and management policy-making processes.Article Citation - WoS: 1Citation - Scopus: 2The Effect of a Video-Based Covid-19 Paediatric Patient Education on State Anxiety in Children With Suspected Covid-19 Admitted To Hospital(Elsevier Sci Ltd, 2023) Sanci, Yagmur; Celik, Serap; Yildiz, SuzanBackground: Anxiety causes the long-term psychological impacts on children during the pandemic.Objective: The aim of this study is to reduce anxiety in paediatric patients and increase their adherence to treatment through a video-based COVID-19 paediatric patient education.Methods: This quasi-experimental study with pretest-posttest single group was carried out in a research hospital's COVID-19 Paediatric Emergency Area in Turkey between May and August 2020. The sample consisted of 128 children aged between 4 and 12 years.Results: In the study, it was found that 50.8% of the children who came to the COVID-19 Paediatric Emergency Area due to suspicion of COVID-19 were boys and their mean age was 8.54 & PLUSMN; 2.62. 21.1% of the children were hospitalised before and 73.4% were afraid of the hospital. State stress scores of the participants before the patient education were higher in those, who didn't attend school between ages of 4-10, than those who went to school. State stress mean scores of the children from all age groups decreased significantly after the education.Conclusions: The video-based paediatric patient education decreases the children's hospital-related anxiety during the pandemic and increased their adherence to treatment.Article Citation - WoS: 6Citation - Scopus: 6Psychometrics of Job Stress-Related Presenteeism Scale Among Turkish Nurses(Sage Publications inc, 2023) Beklemis, Nihal; Seren, Arzu K. Harmanci K.; Gilbreath, Brad; Harmanci Seren, Arzu K.Presenteeism occurs when workers are present at work but with diminished work capacity due to illness, stress, or other causes. Recent studies report that nursing is one of the leading professional groups experiencing presenteeism. Although studies of illness-related presenteeism predominate, fewer studies have investigated stress-related presenteeism. Nurses in Turkey are particularly vulnerable to stress-related presenteeism because of the country's low nurse-to-patient ratio. A scale for measuring presenteeism from job stress - the Job-Stress-Related-Presenteeism Scale-has been developed but not validated. This study had two objectives: to adapt the Job-Stress-Related-Presenteeism Scale to Turkish to use in measuring of presenteeism from job stress among nurses; and to assess the scale's validity. We conducted a cross-sectional study to test the content validity, construct validity, reliability, and stability of a Turkish version of the Job-Stress-Related Presenteeism Scale on a sample of 261 nurses. The content validity index of the Job-Stress-Related Presenteeism Scale was .65. Item-total score correlation values varied between .44 and .77. The confirmatory factor analyses confirmed the six-item, one-factor construct. The Cronbach's alpha internal consistency coefficient was .86. Results indicated that our adapted version of the Job-Stress-Related Presenteeism Scale is valid and suitable for use in Turkey.Article Citation - WoS: 1Citation - Scopus: 1On Clinical Nurses' Views About Diversities- a Qualitative Study(Cell Press, 2024) Cakir, Hanife; Seren, Arzu Kader Harmanci; Harmanci Seren, Arzu KaderIt is a must for nurses to provide healthcare to people from diverse cultures, ethnicities, religions, and genders. This descriptive qualitative study aimed to explore nurses' approaches to various people. The study collected data via semi-structured interviews and contacted 40 nurses through snowball sampling. Most nurses were between the ages of 25-40 and female, 22 of them had postgraduate degrees, and 18 had undergraduate degrees in nursing. Only 10 of them had received special training related to diversity. MaxQda software program was used for content analyses, and four basic themes were determined respectively, "Nurses' perceptions of diversity," "Nurses' perceptions of diversity towards patients," "Nurses' perceptions of diversity towards healthcare professionals," and "Nurses' perceptions of diverse towards the institution." Participant nurses mainly revealed that although legal and organizational procedures aimed to prevent discriminative attitudes in clinical environments, discriminatory attitudes of nurses and healthcare professionals toward diverse people still occurred.Article Citation - WoS: 10Citation - Scopus: 13The Relationship Between Nurses' Personality Traits and Their Perceptions of Management by Values, Organizational Justice, and Turnover Intention(Wiley, 2022) Altuntas, Serap; Seren, Arzu Kader Harmanci; Alacam, Burcu; Baykal, Ulku; Harmanci Seren, Arzu KaderPurpose To determine the relationship between nurses' personality traits and their perceptions of management by values, organizational justice, and turnover intention. Design and Methods It was a descriptive study. A demographic questionnaire, the big five personality scale, the organizational justice scale, the management by values scale, and the turnover intention scale were used to collect data. Findings Data analysis did not demonstrate any relationship between nurses' personality traits and their perceptions of management by values, organizational justice, and turnover intention. However, results of regression analysis concluded that perceptions of management by values affected the nurses' perceptions of organizational justice positively. Practice Implications Nurses' perceptions of organizational justice can be raised and turnover intention may be reduced by improving their perceptions of management by values.Article Citation - WoS: 1Citation - Scopus: 2Developing a Valid and Reliable Perceived Global Future Scale(Wiley, 2022) Bodur, Gonul; Seren, Arzu K. Harmanci; Harmanci Seren, Arzu K.Purpose To develop a valid and reliable data collection tool to define individuals' perceptions of the global future. Design and Methods This methodological study was carried out on 870 participants in Istanbul, a city with the country's highest and most diverse population. Findings Content validity, construct validity, item analyses, and stability of the draft tool were tested. The seven-factor scale structure was confirmed. Cronbach's alpha coefficient of the scale was .93. Practice Implications The Perceived Global Future Scale, consisting of 36 items and seven dimensions, was used. It is a valid and reliable tool to define perceptions of individuals on the global future.