1,720,978 research outputs found
RELIABILITY AND VALIDITY OF A TURKISH VERSION OF THE TRUST IN NURSES SCALE
No full textOur aim was to evaluate the reliability and validity of a Turkish version of the Trust in Nurses Scale (TNS). A group of people living in Turkey and receiving treatment for lung cancer at a chest hospital completed the scale. We assessed construct validity of the TNS using confirmatory factor analysis. We evaluated the reliability of the scale using coefficient alpha and the result for the internal consistency reliability of the scale was a coefficient alpha of .95. According to our results, the Turkish version of the TNS is a valid and reliable tool for the evaluation of trust in nurses among people in Turkey being treated for lung cancer
Bibliometric and content analysis of ChatGPT research in nursing education: The rabbit hole in nursing education
No full textAim: This study was conducted to perform the bibliometric and content analysis of ChatGPT studies in nursing education. Background: ChatGPT is an artificial intelligence -based chatbot developed by OpenAI. The benefits and limitations of the use of ChatGPT in nursing education are still discussed; however, it is a tool having potential to be used in nursing education. Design: Bibliometric and content analysis. Methods: The study data were scanned through Scopus and Web of Science. Bibliometric analysis was carried out with VOSViewer and Bibliometrix software. In the bibliometric analysis, science mapping and performance analysis techniques were used. Various bibliometric data, including most cited publications, journals and countries, were analyzed and visualized. The synthetic knowledge synthesis method was used in content analysis. Results: We analyzed 53 publications to which 151 authors contributed. The publications had been published in 29 different journals. The average number of citations of publications is 8.2. It was determined that most of the articles were published in Nurse Education Today and Nurse Educator journals and that the leading countries were the USA and Canada. It was observed that international cooperation on the issue was weak. The most frequently mentioned keywords in the publications were ChatGPT, artificial intelligence and nursing. The following three themes emerged after the content analysis: (1) Integration of ChatGPT into nursing education; (2) Potential benefits and limitations of ChatGPT; and (3) Stepping down the rabbit hole. Conclusions: We expect that the results of the study can give nursing faculties and academics ideas about the current status of ChatGPT in nursing education and enable them to make inferences for the future
Comfort and Anxiety Levels of Women with Early Stage Breast Cancer Who Receive Radiotherapy
No full textBackground: The aim of this planned research was to determine the comfort and anxiety levels of women with breast cancer receiving radiotherapy. Materials and Methods: This descriptive type study covered patients that applied to the radiation oncology breast polyclinic of our university hospital between January and May 2011. Patient Identification Form, Radiation Therapy Comfort Questionnaire (RTCQ), Spielberger State Trait Anxiety Inventory (STAI) were completed and analysed. Results: The mean age of the women who participated in the study was 51.6 +/- 10.4 years. Mean scores of women were 3.73 +/- 0.31 for RTCQ, 29.1 +/- 5.88 for SAI and 37.8 +/- 6.91 for TAI. While the comfort levels of the women with breast cancer receiving radiotherapy were moderate, they experienced only low levels of anxiety. Conclusions: By determining the comfort level of the patient before radiotherapy, besides providing comfort in this direction, eliminating/minimizing anxiety and stress will positively affect radiotherapy application. More attention of nurses to this issue is to be recommended
The Effect of Music on the Comfort and Anxiety of Older Adults Living in a Nursing Home in Turkey
No full textThe study was designed as a randomized controlled experimental study with a pretest/posttest and a control group. The study sample comprised 56 seniors who resided in a nursing home. The study data were collected using the Mini-Mental State Examination, Identification Form, General Comfort Questionnaire, and Beck Anxiety Inventory. While the mean scores obtained from the General Comfort Questionnaire by the participants in the experimental group demonstrated significant differences (p0.05). The mean scores obtained from the Beck Anxiety Inventory by the participants in the experimental group after a 3-week music intervention were significantly higher than their pre-study scores (p<0.05); however, no significant increase was observed in the control group (p<0.05).It was determined that music reduced anxiety experienced by the older adults since it improved their comfort
Relationship between nursing students' views on robot nurses, artificial intelligence applications, and their innovativeness
No full textBackground: Understanding nursing students' perspectives on artificial intelligence and robotics is essential for preparing them for future practice. Aim: This study aimed to investigate the opinions of nursing students in western Turkey on innovation, robot nurses, and artificial intelligence applications. Methods: This descriptive cross-sectional study, conducted in line with STROBE guidelines, included 341 nursing faculty students (January-May 2022). Data were collected using the Student Information Form, Questionnaire on Students' Innovative Ideas, Artificial Intelligence, and Robot Nurses, and the Individual Innovativeness Scale (IIS). Results: The three most preferred tasks for AI-powered robots were Measuring patients' height and weight (92.1%), Preventing falls (91.2%), and Changing bed linens (90%). The mean IIS score was 54.05 13.66. Conclusion: Participants were categorized as traditionalists rather than innovators. Those who believed AI-powered robots would benefit nursing had lower IIS scores. (c) 2025 Organization for Associate Degree Nursing. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies
Exploring nursing students' attitudes and readiness for artificial fi cial intelligence: A cross-sectional study
No full textBackground: Understanding nursing students' attitudes towards and readiness for artificial intelligence (AI) is crucial for the effective integration of AI into nursing education and practice. AI has the potential to enhance clinical decision-making and personalize patient care. Aim: This study aimed to determine nursing students' attitudes towards and readiness for AI. Methods: This was a cross-sectional descriptive study conducted at a nursing faculty in the west of Turkey and included 291 nursing students. Data were collected using the Individual Information Form, the General Attitudes towards Artificial Intelligence Scale (GAAIS), and the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS). Results: The mean scores for Positive GAAIS, Negative GAAIS, and MAIRS-MS were 3.86 +/- 0.62, 3.23 +/- 0.82, and 76.93 +/- 13.63, respectively. Fourth-year students scored significantly higher on the MAIRS-MS compared to second-year students (F = 3.750, p = 0.011). A positive correlation was found between MAIRS-MS and GAAIS scores (r = 0.330, p < 0.01). Conclusions: The findings are anticipated to guide nursing faculties and academicians in incorporating AI into the curriculum. (c) 2024 Organization for Associate Degree Nursing. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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