Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/7
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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 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 Development and Psychometric Properties of the Self-Efficacy Scale for Symptom Management and Self-Care in Patients with Cardiac Surgery(Springer Publishing Co, 2025) Aksut, Rabia Saglam; Capik, Canturk; Elmas, Tugce BozkurtBackground and Purpose: Evaluating self-efficacy for symptom management and self-care is crucial for ensuring follow-up care after cardiac surgery. As there is not yet a validated measurement tool for this evaluation, the aim of this study was to develop the Self-Efficacy Scale for Symptom Management and Self-Care (SESMSC: Cardiac Surgery) in patients with cardiac surgery and to examine its psychometric properties. Methods: The Symptom Management Theory and Bandura's Self-Efficacy Theory were used as the theoretical background for scale development. A multiphase design was utilized. The initial development phase consisted of item generation and expert panel review. The second phase comprised a three-step validation process: (a) face and content analysis (CFA) for construct validity, and (c) Cronbach's alpha, test-retest, and item- total correlation analysis to assess internal consistency reliability. The sample (n = 401) was randomly divided into two subsamples for EFA and CFA (EFA group: n = 201; CFA group: n = 200). Results: EFA suggested a 20-item, two-factor structure with factor loadings of .342-.782. The two subscales of the scale were labeled symptom management self-efficacy and self-efficacy for ch's alpha, test-retest, and item-total correlation results demonstrated acceptable internal consistency reliability. Implications for Practice: The SESMSC: Cardiac Surgery may be a useful tool to evaluate self-efficacy for symptom management and self-care after cardiac surgery. Further evaluation in independent samples is needed to investigate its psychometric properties and usefulness in clinical practice.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 - Scopus: 1A Sentiment Analysis of Turkish Tweets Shared in Nursing Week During the Pandemic(Association of Executive Nurses, 2022) Doğan, M.B.; Oban, V.; Dikeç, G.Aim: This study aimed to conduct an artificial intelligence-based sentiment analysis of Turkish tweets about nursing during the nursing week during the COVID-19 pandemic. Method: This is a retrospective descriptive survey. Between May 4 and May 19, 2021, Turkish tweets were analyzed using the Python library Tweepy. The search terms “nurse, nursing, and nursing week” were used to analyzed tweets for their positivity, neutrality, or negativity. Results: The analysis of 24,944 tweets revealed that tweets frequently express neutral emotions. The negative tweets frequently discussed issues such as societal gender perception, professionalism, burnout during the pandemic, salaries, inadequate nursing workforce, inequalities, violence against healthcare professionals, and the deaths of nurses. Conclusions: Social media applications can be recommended as important tools for raising awareness of the nursing profession identity, professionalism, visibility, and the perception of society towards nursing, nursing problems, and recommendations for solutions. © 2022 The Authors. Published by Association of Nurse Managers.Article Citation - Scopus: 1The Relationship Between Turnover Intention And Compulsory Citizenship Behaviour Of Nurses(Association of Executive Nurses, 2024) Selçuk, D.; Harmancı Seren, A.K.Aim: This study aimed to examine whether there is a relationship between turnover intention and compulsory citizenship behavior among nurses working in a training and research hospital in Istanbul. Method: The data of this descriptive and relationship-seeking study were collected with the participation of 191 nurses working in a training and research hospital in İstanbul between December 2016 and February 2017. Research data was collected through a questionnaire aimed at learning participants' personal information, Turnover Intention Scale and Compulsory Citizenship Behavior Scale. Data was analyzed on a computer. Descriptive statistics, parametric and non-parametric comparison analyze and Pearson correlation analyzes were performed. Results: Point averages of the nurses between “Turnover Intention Scale” and “Compulsory Citizenship Behavior Scale” were 2.90 (SD=1.11) and 3.42 (SD=0.90) respectively. The correlation coefficient for the relationship between the intention to quit the job and compulsory citizenship behavior was found to be r=0.315 (p<0.001). Conclusion: It has been determined that nurses have the intention to leave the job below the medium level, they exhibit compulsory citizenship behavior at the above medium level, and there is a positive, medium strength and very significant linear relationship between the intention to leave the job and the compulsory citizenship behaviour. © 2024 The Authors.Review Citation - Scopus: 2Nurse Employment In Some Countries In The World And In Turkey(Association of Executive Nurses, 2023) Soydaş, K.; Harmancı Seren, A.K.; Seren, Arzu Kader HarmancıFor a well-functioning health system, employing a sufficient number of appropriately qualified nurses is essential. The quantity and quality of nursing care are affected by the physical conditions of the workplace, support services, information systems, administrative practices, training and experience of nurses, care delivery models, and the number of nurses in the unit. Many criteria have been developed considering these different variables. These criteria are used in line with the health policies of each country. The aim of this review is to offer a framework for the employment policies of nurses in the world and Turkey. © 2023 The Authors.Article Hemşirelerde İşten Ayrılma Niyeti ile Zorunlu Vatandaşlık Davranışı Arasındaki İlişki*(Association of Executive Nurses, 2024) Selçuk, Deniz; Seren, Arzu Kader Harmancı; Harmancı Seren, Arzu KaderAmaç: Bu araştırmada, İstanbul’daki bir eğitim ve araştırma hastanesinde çalışan hemşireler örnekleminde işten ayrılma niyeti ile zorunlu vatandaşlık davranışı arasında ilişki olup olmadığını incelemek amaçlanmıştır. Yöntem: Tanımlayıcı ve ilişki arayıcı bu araştırmanın verileri, İstanbul’da bulunan bir eğitim ve araştırma hastanesinde görev yapmakta olan 191 hemşirenin katılımı ile Aralık 2016 – Şubat 2017 tarihleri arasında toplanmıştır. Veri toplamada, kişisel bilgileri öğrenmeyi amaçlayan bir soru formunu, “İşten Ayrılma Niyeti Ölçeği”ni ve “Zorunlu Vatandaşlık Davranışı Ölçeği”ni içeren bir anket kullanılmıştır. Veriler, bilgisayar ortamında analiz edilmiştir. Tanımlayıcı istatistikler, parametrik ve parametrik olmayan karşılaştırma testleri ve Pearson korelasyon analizi yapılmıştır. Bulgular: Hemşirelerin “İşten Ayrılma Niyeti Ölçeği” ile “Zorunlu Vatandaşlık Davranışı Ölçeği” puan ortalamaları sırasıyla 2,90 (SS=1,11) ve 3,42 (SS=0,90) olarak bulunmuştur. İşten ayrılma niyetiyle zorunlu vatandaşlık davranışı arasındaki ilişkinin katsayısının r=0,315 olduğu saptanmıştır (p<0,001). Sonuç: Hemşirelerin orta düzeyin altında işten ayrılma niyetinde oldukları, orta düzeyin üstünde zorunlu vatandaşlık davranışı sergiledikleri, işten ayrılma niyetiyle zorunlu vatandaşlık davranışı arasında da olumlu yönlü, orta güçte ve çok ileri derecede anlamlı doğrusal bir ilişki olduğu belirlenmiştir.
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