PubMed İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/8

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Citation - WoS: 6
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Artificial 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, Polat
BackgroundThe 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.
Effect of Progressive Muscle Relaxation on Postoperative Pain in Laparoscopic Living Kidney Donors: A Randomized Controlled Trial
(BMC, 2025) Akinci, Naile
Aim This study aimed to evaluate the effect of progressive muscle relaxation on postoperative pain in laparoscopic living kidney donors. Design This was a randomized controlled, single-blind trial. This study was conducted in accordance with the CONSORT statement. Methods This study was conducted between January and September 2023 and included 62 patients (study group = 31, control group = 31) who met the inclusion criteria and underwent laparoscopic living donor nephrectomy in the transplant service of a private hospital in Istanbul province. A power analysis was performed to calculate the sample size and the power of the study (G*Power 3.1). Study data were collected using a patient information form, a postoperative patient follow-up and evaluation form to record the total number of bolus requests and administrations via of boluses with the PCA device and additional analgesic needs, and the Visual Analog Scale (VAS). The data obtained in the study were analyzed on the SPSS 22.0 statistical software. Results Additional analgesic requirements did not differ significantly between groups where progressive muscle relaxation exercises were applied and the VAS score and bolus requirement were significantly lower than in the control group (p < 0.05). Anxiety levels were also significantly reduced in the experimental group compared to both their pre-test scores and the control group (p < 0.05). Although the time to resume oral intake did not differ significantly between the groups (X-2 = 5.020; p = 0.170 > 0.05), the time to start mobilization was significantly earlier in the experimental group (X-2 = 8.808; p = 0.012 < 0.05). As a result of the study, it was found that progressive muscle relaxation exercises reduced postoperative pain, bolus requirements, and anxiety in patients undergoing living donor nephrectomy. Additionally, these exercises facilitated earlier mobilization following surgery.
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, Esra
Background 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.
'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, Gul
BackgroundStudies 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.
Psychometric Evaluation of the Person-Centred Climate Questionnaire - Staff Version
(BMC, 2025) Arici, Furkan Cihat; Harmanci Seren, Arzu Kader; Edvardsson, David
BackgroundValid 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.
The Relationship Between Nurses Anxiety and Attitudes Towards Artificial Intelligence and Examination of Influencing Factors
(BMC, 2026) Nirgiz, Cansu; Sari, Merve Kiymac; Cayli, Nazan
Aim 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.

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