Bibliometric and content analysis of ChatGPT research in nursing education: The rabbit hole in nursing education.

AIM: 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.

Mobile learning in nursing education: A bibliometric analysis and visualization.

AIM: This study performed a bibliometric analysis of studies related to mobile learning in the field of nursing education. METHODS: The Scopus database was used to determine the most frequently cited studies on mobile learning in nursing education. VOSviewer and Bibliometrix were employed for bibliometric analysis and visualization. Science mapping and performance analysis was adopted from bibliometric analysis techniques. In addition, a synthetic knowledge synthesis approach was used. RESULTS: A total of 234 publications were published in 107 sources in 2002-2023. The publications had 8797 citations, an average of 88 citations per publication. In terms of total link strength (TLS), links, a number of articles and citations, the US led all other countries in the field. Regarding authors, Hwang was the most frequently cited authors (n = 348). According to trend topics analysis, the keywords "gamification", "simulation", "attitude", "clinical competence" and "online learning" have emerged in the field. CONCLUSION: Research on mobile learning in nursing education has been increasing in recent years. The findings of this study can provide new ideas in the applications of mobile learning in nursing education to researchers or nursing faculties in the field.

Determination of nursing students' attitudes toward and readiness for mobile learning: A cross-sectional study.

BACKGROUND: Mobile learning is a learning method that enables nursing students to learn anytime and anywhere. OBJECTIVES: This study was designed to determine nursing students' attitudes toward and readiness for mobile learning. DESIGN: A descriptive, cross-sectional study design was used. SETTING: The study was conducted at a nursing faculty in Turkey. PARTICIPANTS: The sample size was determined using the stratified randomization method by considering the participants' years at school, and 290 nursing students were included in this study. METHODS: Data were collected using the Sociodemographic Characteristics Questionnaire, Mobile Learning Attitude Scale (MLAS), and Mobile Learning Readiness Scale (MLRS) using the survey method. Statistical Package for the Social Sciences, version 25.0, was used for all data analyses. RESULTS: The mean scores of the participating nursing students obtained from the MLAS and MLRS were 76.48 ± 9.28 and 79.64 ± 16.62, respectively. Compared to first- and second-year students, fourth-year students, those who had mobile learning experience, and those who wanted to use a mobile learning system in the future obtained higher MLAS and MLRS scores. A positive, weak correlation was found between variables, age and level of computer use, and the MLAS and MLRS scores. CONCLUSIONS: It was determined that the attitudes of nursing students toward mobile learning were positive and they were ready for mobile learning. The results of this study can be used in designing and implementing mobile learning systems.

Artificial intelligence and robot nurses: From nurse managers' perspective: A descriptive cross-sectional study.

AIM: This research was planned to identify nurse managers' opinions on artificial intelligence and robot nurses. BACKGROUND: As the concepts of artificial intelligence and robot nurses are becoming widespread in Turkey, nurse managers are expected to guide and cooperate with nurses in the future in regard to these technologies. METHODS: The sample of the study consisted of 326 manager nurses, who were reached via the online questionnaire during the period of September to November 2021. A Nurse Managers Information Form and a Question Form on Artificial Intelligence and Robot Nurses were used to collect data. Data in this cross-sectional descriptive study were collected between September 2021 and November 2021 by the online survey method. The descriptive statistics of the data were analysed with numbers and percentages. The difference between the knowledge of artificial intelligence and robot nurses and demographic characteristics was analysed with the chi-square test. RESULTS: According to the findings, 66.9% of the nurse managers reported having heard the concepts of artificial intelligence and robot nurses previously. 67.2% stated that they thought that robot nurses would benefit the nursing profession, but 86.2% voiced disbelief that robots would replace nurses. CONCLUSIONS: The majority of the participating nurse managers reported that artificial intelligence and robot nurses would not replace nurses but would be beneficial for nurses and would reduce their workload. IMPLICATIONS FOR NURSING MANAGEMENT: It should be ensured that the nurse managers plan the areas in the hospital where artificial intelligence and robot nurses will be used and determine the possible risks. Awareness should be increased with in-service trainings, and patient safety and ethical problems regarding the use of artificial intelligence and robot nurses should be identified.

Effect of Therapeutic Touch on Sleep Quality in Elders Living at Nursing Homes.

This study was carried out to investigate the effect of therapeutic touch on sleep quality in the elderly people living in the nursing homes. The study is a randomized controlled experimental study (pretest-posttest control group). The sample of the research consisted of 25 elderly people. As a result of the study, although there was a significant increase (p < 0.05) in the sleep quality of each group, no significant difference was found between the groups (p > 0.05). Therapeutic touch is an effective method of improving the sleep quality of the elders living at a nursing home.

Psychometric Characteristics of the Turkish Version of the Nurse Comfort Questionnaire.

The aim of this study was to determine psychometric characteristics of the Turkish version of the Nurse Comfort Questionnaire (NCQ). The sample of the study comprised 275 nurses in the western part of Turkey. To collect the study data, the Sociodemographic Characteristics Questionnaire and NCQ were used. After the statistical analyses conducted to determine the validity and reliability of the Turkish version of the Ferrandiz and Martin-Baena's NCQ, some items were excluded from the original questionnaire, and a 39-item NCQ for Turkey was developed. The analyses showed that the 39-item NCQ had a valid and reliable structure of Turkish nurses.

The Effect of Music on the Comfort and Anxiety of Older Adults Living in a Nursing Home in Turkey.

The 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 (p < 0.05), those obtained by the participants in the control group did not (p > 0.05). 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.