Sürdürülebilir Kalkınma Amaçları
Yayınlar
- MakaleAçık Erişim2026Olgu Temelli Yapay Zekâ Eğitim Uygulamasına Yönelik Hemşirelik Son Sınıf Öğrencilerinin Görüşleri: Tanımlayıcı Nitel Çalışma
Tuncer, Metin; Tuncer, Gülsüm Zekiye; Yalcinkaya, Turgay
Amaç: Olgu temelli yapay zekâ uygulamalarının hemşirelik eğitimine etkili ve güvenli bir şekilde entegrasyonu, hemşirelik öğren cilerinin çağdaş eğitim ihtiyaçlarını karşılamak açısından önemli bir gerekliliktir. Bu nedenle araştırmanın amacı, hemşirelik son sınıf öğ rencilerinin yapay zekâ destekli olgu temelli eğitim uygulamasına iliş kin deneyimlerini ve görüşlerini derinlemesine incelemektir. Gereç ve Yöntemler: Tanımlayıcı nitel araştırma deseninde yürütülen bu ça lışma, bir devlet üniversitesinde öğrenim gören 15 gönüllü son sınıf hemşirelik öğrencisiyle gerçekleştirilmiştir. ChatGPT-4o tabanlı olgu temelli bir eğitim uygulaması yapan gönüllü katılımcılar ile yarı yapı landırılmış görüşmeler yoluyla veriler yüz yüze bireysel yöntemle top lanmıştır. Görüşmeler, içerik analizi yöntemiyle değerlendirilmiştir. Bulgular: Analiz sonucunda, (1) Öğrenme sürecine katkısı, (2) Kulla nım kolaylığı ve erişilebilirlik, (3) Geleneksel eğitimle kıyaslama ve (4) Güvenilirlik ve sınırlılıklar olarak 4 ana tema ortaya çıkmıştır. Ka tılımcılar, ChatGPT’nin klinik akıl yürütme becerilerini desteklediğini, bilgiye hızlı erişim sağladığını ve yargılamayan bir öğrenme ortamı sunduğunu ifade etmiştir. Ancak bilgi tutarsızlıkları, kaynak belirtme mesi ve komutlara duyarlılık gibi sınırlılıklar da vurgulanmıştır. Sonuç: Çalışma, ChatGPT destekli olgu temelli eğitimin hemşirelik öğrenci lerinin öğrenme sürecine katkı sunduğunu ve geleneksel eğitimi ta mamlayıcı bir potansiyel taşıdığını göstermektedir. Bu tür uygulamaların hemşirelik eğitimine etkili biçimde entegre edilebilmesi için öğretim elemanı rehberliğinde yapılandırılmış senaryolarla yürü tülmesi, öğrencilerin komut oluşturma ve eleştirel düşünme becerileri nin desteklenmesi önerilmektedir.
- MakaleAçık Erişim2026The effect of eHealth-based guided self help interventions for binge eating disorder : a meta-analysis of randomized controlled trials
Tuncer, Gülsüm Zekiye; Tuncer, Metin
With rapid technological advancements, eHealth-based guided self-help interventions have become accessible, flexible, cost-effective, and stigma-reducing treatment options for binge eating disorder (BED). This meta-analysis evaluated the effectiveness of these interventions in individuals diagnosed with BED or showing BED symptoms, based on eight randomized controlled trials with 1,575 participants. Intervention length varied between a single session to four months. Six studies focused solely on web-based guided self-help interventions, one study implemented a hybrid approach combining face-to-face and online components, and another study employed two distinct online guided self-help methods. The interventions included psychoeducational modules, therapist feedback, online behavior monitoring, and self-assessments. eHealth-based guided self-help significantly reduced binge eating psychopathology (SMD: 0.53; 95% CI: 0.20–0.86) and objective binge eating (OBE) days (SMD: 0.49; 95% CI: 0.12–0.85) compared to controls. These interventions offer effective solutions for individuals facing barriers to traditional treatment access.
- MakaleYalnız künye2026An AI-Supported Virtual Patient Application Using a Structured Prompting Framework to Develop Mental Status Examination Skills in Psychiatric Nursing Internship Students: An Interventional Mixed-Methods Study
Tuncer, Gülsüm Zekiye; Çetinkaya Duman, Zekiye; Kilinçkaya, Başak
The aim of this study is to evaluate the effect of an artificial intelligence (AI)-powered virtual patient application (ChatGPT) on the development of Mental Status Examination (MSE) skills in psychiatric nursing internship students and to explore how this process is reflected in their experiences. This study employed a sequential explanatory mixed-method design, consisting of a quantitative pre/post-test phase followed by a qualitative phase. In the quantitative phase, the MSE Competency Assessment scores of 27 undergraduate psychiatric nursing internship students were evaluated using a pre-test/post-test model. In the qualitative phase, in-depth individual interviews were conducted with 18 volunteer students. As part of the intervention, students participated in the “AI-Supported Virtual Patient Intervention: Structured Prompting Framework”. The quantitative findings of the study revealed that the mean MSE Competency Assessment scores increased from 42.00 ± 6.43 in the pre-test to 49.57 ± 3.44 in the post-test (Z = −6.266, p < 0.001). Thematic analysis of the qualitative data yielded five main themes: Skill Development, Learning Experience, Impact of AI, Debriefing, and Limitations. Students reported that the application enhanced their MSE examination and communication skills; they also described a unique learning experience through AI, highlighted the importance of guided support.
- MakaleAçık Erişim2026The Effect of a Psychiatric Nurse–Led AI-Based Online Group Guided Self-Help Program on Eating Behaviours and Body Image among Overweight and Obese Women Nurses: A Randomized Controlled Trial
Tuncer, Gülsüm Zekiye; Duman, Zekiye Çetinkaya; Tuncer, Metin
Aim: This study aimed to evaluate the effectiveness of a psychiatric nurse–led, AI-supported online group guided self-help programme on eating behaviours, body image, and body mass index (BMI) among overweight and obese women nurses. Method: A randomised controlled experimental design with pre-test, post-test, and three-month follow-up assessments was employed. Forty-four overweight and obese women nurses were randomly assigned to intervention (n = 22) and control (n = 22) groups. The intervention consisted of an 8-week online group guided self-help programme supported by a large language model (LLM), under the leadership of a psychiatric nurse. Participants did not interact directly with the LLM; all AI-generated feedback was clinically reviewed and delivered by the researcher. Results: The intervention group demonstrated significant reductions in emotional eating and external eating, along with significant improvements in body image scores and adaptive coping strategies. A significant decrease in BMI was also observed from baseline to three-month follow-up. Between-group comparisons at post-test and follow-up indicated statistically significant differences favouring the intervention for eating behaviours and selected body image–related outcomes, whereas between-group differences in BMI were not statistically significant. Conclusion: A multi-component online group guided self-help intervention incorporating structured AI-assisted feedback under psychiatric nurse leadership may represent a promising approach to improving eating behaviours, body image, and weight-related outcomes among overweight and obese women nurses.
- MakaleYalnız künye2026Intensive care nurses' perspectives on the quality of nurse-patient communication in the prevention and management of delirium: A qualitative study
Şengün Inan, Figen; Canbolat, Özlem; Aslan, Kübra; Tuncer, Gülsüm Zekiye
Background Nurses play a key role in the care of patients with delirium; however, there is a lack of research exploring intensive care nurses' communication-related experiences in this context. Purpose This qualitative study aims to explore nurses' experiences related to communication in the prevention and management of delirium in intensive care settings. Methods This descriptive qualitative study was conducted with nurses working in the intensive care unit of a university hospital in Türkiye. Data were collected through semi-structured individual interviews. The sample consisted of 15 nurses. To ensure the analysis of the data, the content analysis method was used. Results Findings were categorized into five themes: (1) perceptions, (2) elements of effective communication, (3) obstacles to effective communication, (4) results of effective communication, and (5) results of ineffective communication. Conclusion The results revealed that nurses perceived communication in delirium management as an important therapeutic component of nursing care. In their view, effective communication supported patient care and family cooperation. Beyond individual efforts, organizational leaders may play a crucial role in improving delirium care by allocating adequate time and resources to structured educational programs that enhance communication competencies and delirium-specific knowledge.
- MakaleAçık Erişim2025Adaptation of the Friedman Life Balance Scale in Nursing Students into Turkish: Methodological (Validity and Reliability) Study
Tuncer, Metin; Tuncer, Gülsüm Zekiye; Yigit, Tülay Tuğçe
Objective: The aim of this study is to adapt the Friedman Life Balance Scale (FLBS), originally developed in the USA, into Turkish and to examine its validity and reliability for assessing life balance among nursing students. Material and Methods: This methodological study was conducted with a sample of 688 nursing students enrolled in the faculty of nursing between November 2023-February 2024. The data were collected using the Satisfaction with Life Scale (SLS), the Warwick-Edinburgh Mental Well-Being Scale Short Form (WEMWBSF), and the FLBS. Initially developed in English, the 15-item scale comprising 3 sub-dimensions underwent Turkish language and content validity procedures. Results: The factor analysis results of the FLBS indicated that the construct validity was satisfactory. Exploratory factor analysis revealed a 3-factor structure accounting for 55.9% of the total variance. The goodness of fit values (χ2 /df=3.516; Comparative Fit Index=0.953; Normed Fit Index=0.936; Incremental Fit Index=0.954; Tucker-Lewis Index (TLI)=0.931; Root Mean Square Error of Approximation=0.060) of the model obtained with this 3-factor confirmatory factor analysis were good. The internal consistency Cronbach’s alpha score of the FLBS was 0.861. In parallel form reliability of the FLBS, there was a low-level positive relationship between the FLBS and SLS (r=0.348, p<0.001) and a moderate positive relationship between the FLBS and WEMWBS (r=0.594, p<0.001). Conclusion: In this study, the Turkish version of the FLBS is a reliable and valid measurement tool for measuring life balance in nursing students. FLBS is a short and practical scale to measure life balance. It is thought that the FLBS can be used to measure life balance in students and health professionals.
- MakaleAçık Erişim2025Effect of eHealth Interventions on Medication Adherence in Kidney Transplant Recipients: Meta-Analysis of Randomised Controlled Trials
Tuncer, Metin; Tuncer, Gülsüm Zekiye
Background: Kidney transplant recipients must take immunosuppressive drugs for life, and medication non-adherence is a primary risk factor for graft loss and death. With the advancement of technology, electronic health applications are widely used in chronic disease management and offer the potential to improve medication adherence in kidney transplant recipients. Aim: This meta-analysis aims to evaluate randomised controlled trials (RCTs) that assess the effectiveness of eHealth interventions in improving medication adherence among kidney transplant recipients. Methods: This study, which was designed as a systematic review and meta-analysis, followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocols in the planning and reporting phases. Electronic databases and manual literature searches were the two main data sources. Full-text RCTs in PubMed, Medline, Web of Science and Scopus databases were systematically searched. The searches covered studies from 2014 to March 2024. Results: The search yielded 524 articles. Eight RCTs with 779 participants were included in the analysis. The meta-analysis results indicated that, compared with the control group, adherence rates (RR: 1.19; 95% CI: 1.06–1.35; p = 0.01. Heterogeneity: Q = 8.69; p = 0.28; I2 = 19%) and adherence scores (SMD: 0.17; 95% CI: 0.05–0.29; p = 0.02. Heterogeneity: Q = 0.45; p = 0.93; I2 = 0%) significantly increased in the eHealth intervention group compared with the control group. Conclusion: The findings of this report show that eHealth interventions to improve medication adherence in kidney transplant recipients show favourable outcomes compared with standard care. We recommend eHealth interventions to improve long-term survival and patient outcomes in kidney transplant recipients.
- MakaleAçık Erişim2025Brain Drain-Related Perspectives of Senior Nursing Students in Türkiye: A Qualitative Study; [Türkiye'deki Son Sınıf Hemşirelik Öğrencilerinin Beyin Göçüyle İlgili Görüşleri: Nitel Bir Çalışma]
Tuncer, Metin; Tuncer, Gülsüm Zekiye
Objective: This study was aimed at investigating the brain drain-related perspectives of nursing students who wanted to emigrate in depth. Methods: The study has the descriptive qualitative research design. The population of the study comprised 13 senior nursing students studying at the Faculty of Nursing of a university and intending to emigrate abroad. Data were collected through face-to-face individual in-depth interviews. The interviews were audio-recorded after the participants’ permission was obtained. This study adopted a qualitative research design based on inductive content analysis to explore the participants’ perspectives in depth. Results: In this study, three themes emerged from the students' opinions: "Perception of brain drain", "Motivation behind brain drain" and "Challenges". The first theme reflected students’ varied views on migration, including both positive and negative perceptions, a growing social trend towards emigration, and feelings of hopelessness and dissatisfaction with nursing in Türkiye, leading to the formation of personal migration plans. The second theme captured motivations such as the influence of relatives and role models abroad, favourable personal conditions, attractive opportunities overseas, language efforts, and openness to new experiences. The final theme focused on challenges, including push factors like poor working conditions and low wages, barriers such as language and time constraints, and emotional concerns such as loneliness and cultural adjustment. Conclusion: The study showed that nursing students’ intention to emigrate stems from mixed perceptions of brain drain, strong personal and social motivations, and various emotional and structural challenges. Addressing these issues may help mitigate future nurse migration.
- MakaleAçık Erişim2025Investigation of the relationship between attitudes toward migration and life satisfaction of nurses working in Turkey
Tuncer, Metin; Tuncer, Gülsüm Zekiye; Turan, Şeyma; Khorshtd, Leyla
Background: Nurse migration contributes to the nursing shortage in developing countries. Understanding nurses' attitudes toward migration and related factors is crucial for policy-making and healthcare workforce planning in Turkey. Aim: This study aimed to investigate the relationship between nurses' attitudes toward migration and their life satisfaction in Turkey. Methods: The study included working nurses with social media accounts on a social media platform in Turkey who followed nursing-related content. A sample of 423 nurses completed an online survey. Independent variables included nurses' sociodemographic characteristics and inclination toward migration, while dependent variables were life satisfaction and migration attitude levels. Data were collected via an online questionnaire, incorporating the Brain Drain Attitude Scale (BDAS) and Life Satisfaction Scale (LSS), between April and May 2023. Results: The study found a negative correlation between nurses' life satisfaction levels and their attitudes toward migration (r = −.349, p <.001). Nurses dissatisfied with their profession (F = 6.575, p <.05), lacking professional support (F = 8.641, p <.05), and lacking social support (F = 6.307, p <.05) scored higher on the BDAS. Conversely, those satisfied with their profession (F = 31.455, p <.05), receiving professional support (F = 26.307, p <.05), and social support (F = 33.990, p <.05) scored higher on the LSS. Conclusion and implications for nursing: The study revealed that decreased life satisfaction among nurses in Turkey correlates with increased migration attitudes. These results underscore the need for strategies to enhance nurses' job satisfaction and support systems to mitigate migration tendencies. This study contributes valuable insights into the high inclination of Turkish nurses toward emigration.
- MakaleYalnız künye2025ChatGPT-4 in Nursing Research: A Methodological Evaluation of Bias Risk in Randomized Controlled Trials
Tuncer, Metin; Tuncer, Gülsüm Zekiye
Background: Conducting bias assessments in systematic reviews is a time-consuming process that involves subjective judgments. The use of artificial intelligence (AI) technologies to perform these assessments can potentially save time and enhance consistency. Nevertheless, the efficacy of AI technologies in conducting bias assessments remains inadequately explored. Aim: This study aims to evaluate the efficacy of ChatGPT-4o in assessing bias using the revised Cochrane RoB2 tool, focusing on randomized controlled trials in nursing. Methods: ChatGPT-4o was provided with the RoB2 assessment guide in the form of a PDF document and instructed to perform bias assessments for the 80 open-access RCTs included in the study. The results of the bias assessments conducted by ChatGPT-4o for each domain were then compared with those of the meta-analysis authors using Cohen's weighted kappa analysis. Results: Weighted Cohen's kappa values showed better agreement in bias in the measurement of the outcome (D4, 0.22) and bias arising from the randomization process (D1, 0.20), while negative values in bias due to missing outcome data (D3, −0.12) and bias in the selection of the reported result (D5, −0.09) indicated poor agreement. The highest accuracy was observed in D5 (0.81), and the lowest in D1 (0.60). F1 scores were highest in bias due to deviations from intended interventions (D2, 0.74) and lowest in D3 (0.00) and D5 (0.00). Specificity was higher in D5 (0.93) and D3 (0.82), while sensitivity and precision were low in these domains. Conclusions: The agreement between ChatGPT-4o and the meta-analysis studies in the same RCT assessments is generally low. This indicates that ChatGPT-4o requires substantial enhancements before it can be used as a reliable tool for bias risk assessments. Clinical Relevance: The AI–based tools have the potential to expedite bias assessment in systematic reviews. However, this study demonstrates that ChatGPT-4o, in its current form, lacks sufficient consistency, indicating that such tools should be integrated cautiously and used under continuous human oversight, particularly in evidence-based evaluations that inform clinical decision-making.
- MakaleAçık Erişim2025Nursing students' cybersecurity practices and perceptions and cybersecurity crime awareness: A cross-sectional study
Yalcinkaya, Turgay; Tuncer, Metin; Tuncer, Gülsüm Zekiye; Erol, Ahmet; Cinar Yucel, Sebnem
Background: Cybersecurity has become a critical issue with the increasing use of digital platforms in healthcare. Understanding nursing students' cybersecurity practices, perceptions, and cybercrime awareness is essential for improving healthcare security and developing strategies to mitigate cyber threats. Aim: This study aimed to determine nursing students' cybersecurity practices, perceptions, and cybercrime awareness. Design: A descriptive cross-sectional design was used. Setting: The study was conducted between April and June 2024 at a School of Nursing within a public university in Türkiye. Participants: A total of 434 undergraduate nursing students participated in the study. Methods: Data were collected face-to-face using a paper-and-pencil technique. The data collection tools used included the Personal Information Form, Cyber Security Scale (CSS), and Cyber Crime Awareness Scale (CAS). Data analysis utilised descriptive statistical methods, Pearson correlation analysis, independent samples t-test, ANOVA, and linear regression analysis. Results: The study revealed that 92.9 % of the students had not received any prior cybersecurity education. The mean CSS score was 87.50 ± 11.40, and the mean CAS score was 174.75 ± 36.75. A moderate positive correlation was found between the CSS and CAS scores (r = 0.576, p < 0.01). A positive relationship was found between computer usage skills and CSS scores (r = 0.190, p < 0.01), while a weak negative correlation was observed between internet usage duration and CSS scores (r = −0.095, p < 0.05). No relationships were identified between the CSS score and age, gender, or cybersecurity education. Linear regression analysis showed that higher computer usage skill levels were significantly associated with increased CSS scores (B = 1.129, p < 0.001). Conclusions: The findings highlight the importance of integrating cybersecurity education into the nursing curriculum. Enhancing cybersecurity awareness and practices may help protect patient data and support safer healthcare by better preparing nursing students for cyber threats.
- MakaleAçık Erişim2025Turkish Version of the Sense of Belonging in Nursing School Scale: Validity and Reliability for Nursing Students
Tuncer, Metin; Tuncer, Gülsüm Zekiye; Yalçınkaya, Turgay; İnce, Merve; Yücel, Şebnem Çınar; Khorshid, Leyla
Background: While a sense of belonging may be necessary for human motivation, the disruption of this sense of belonging among nurses can have implications for patient care and safety. Aim: This article was aimed at assessing the sense of belonging experienced by nursing students in three different settings (clinic, classroom, and student group) by conducting the validity and reliability of the Sense of Belonging in Nursing School (SBNS) scale, adapting it to the Turkish language and culture, and reporting the results. Methods: The study was conducted in a nursing faculty between March and July 2023. The study sample comprised 193 nursing students. We performed the content validity assessment of the 19-item SBNS scale after conducting a structural validity analysis using exploratory factor analysis and confirmatory factor analysis (CFA). The Cronbach’s alpha and item-total score correlations were examined to assess the scale’s internal consistency. Results: The Kaiser–Meyer–Olkin measure of sampling adequacy for the SBNS instrument was 0.903, and the result of Bartlett’s test of sphericity was significant (χ² = 3182.764, p = 0.000), indicating that the scale was suitable for factor analysis. The eigenvalue analysis identified a four-factor structure explaining 76.74% of the total variance. These four factors were subsequently named as follows: (1) clinical compliance, (2) social belonging, (3) school support, and (4) clinical support. The goodness-of-fit values for the model obtained from the CFA were χ2/SD = 2.15, comparative fit index = 0.947, goodness-of-fit index = 0.852, normed fit index = 0.906, incremental fit index = 0.948, and root mean square error of approximation = 0.077, suggesting that the model fit was acceptable, and the four-factor structure was well distributed. The scale exhibited high internal consistency (α = 0.933). Discussion: The SBNS scale is a reliable and valid instrument for measuring the sense of belonging experienced by nursing students in three different environments. Further research is needed to establish its predictive validity. Conclusions and Implications for Nursing: This study was conducted, and there was no scale used in the Turkish literature to measure nursing students’ sense of school belonging; thus, it is the first in this sense.
- MakaleAçık Erişim2025Self-Regulation of Eating Behaviors Among Young Women Nurses and Nursing Students: Its Relationship With Eating Habits
Tuncer, Gülsüm Zekiye; Tuncer, Metin
The primary aim of this study is to adapt the Self-Regulation of Eating Behavior Questionnaire (SREBQ) to the Turkish culture among young women nurses and nursing students. The secondary aim is to investigate the factors associated with self-regulation of eating behavior in this population. The sample consisted of 773 young women nurses and nursing students who were included in the study between June and July 2024. In accordance with the first aim of the study, the construct validity of the SREBQ instrument was confirmed through EFA. The Cronbach's alpha coefficient for the SREBQ was found to be 0.78. There were very low positive correlations between the SREBQ score and the SRS (r = 0.252) and TREQ-CR (r = 0.136) scores, as well as low negative correlations with the TREQ-EE (r = −0.355) and TREQ-UE (r = −0.406) scores (p < 0.001). The 5-item SREBQ has been found to be a valid and reliable instrument for the population of young women nurses and nursing students in the Turkish language. The results indicate that as self-regulation of eating behavior increases in this population, overall self-regulation skills improve, while disordered eating behaviors decrease.
- MakaleAçık Erişim2024Investigation of the Relationship Between Nursing Students’ Attitudes Toward and Beliefs About Individuals With Obesity, Their Empathy Level, and Body Image Flexibility
Tuncer, Gülsüm Zekiye; Tuncer, Metin; Duman, Zekiye Çetinkaya
Negative attitudes and beliefs leading to discrimination against individuals with obesity and to their exclusion can cause these individuals to experience various biological, psychological, and social problems. Nursing students constitute the group that will provide care, services, and counseling to individuals with obesity in the future. The present study was aimed at determining the relationship between nursing students’ attitudes toward and beliefs about individuals with obesity and their empathy and body image flexibility levels. This study that has a cross-sectional correlational research design was conducted with 445 students studying at Dokuz Eylül University Faculty of Nursing between February 2023 and July 2023. The Sociodemographic Information Form, Beliefs About Obese Persons (BAOP) scale, Attitudes Toward Obese Persons (ATOP) scale, Body Image Flexibility Scale (BIFS), and Toronto Empathy Scale (TES) were used as data collection tools. In order to ensure explanatoriness in the analysis of the data, the multiple regression/ correlation analysis was performed to determine the relationship between the scores for the overall BAOP and ATOP scales, which were dependent variables, and BMI and the scores for the overall TES and BIFS, which were the independent variables. The mean scores that the students participating in this study obtained from the overall BAOP and ATOP were 23.89 ± 4.49 and 72.48 ± 11.19, respectively. The mean scores they obtained from the overall TES and BIFS were 51.61 ± 8.80 and 52.19 ± 15.28, respectively. The results demonstrated that higher levels of empathy and body image flexibility were significantly associated with lower levels of negative beliefs about individuals with obesity (B = −0.107, p =.026; B = 0.271, p <.001) and positive attitudes toward individuals with obesity (B = −0.143, p =.002; B = 0.343, p <.001). In the study, as the students’ empathy and body image flexibility levels increased so did their positive perceptions toward individuals with obesity. Nurses should acquire empathic skills during their education in order to demonstrate an equitable and inclusive approach to care and to provide positive health experiences to individuals with obesity. In order for young people studying at university to be more responsive to others, they should be encouraged to develop body image flexibility for their own and others’ bodies. It is also recommended that topics on combating stigma and discrimination to prevent negative attitudes toward and beliefs about individuals with obesity should be added to the curriculum of nursing students.
- MakaleAçık Erişim2024Investigation of nurses’ general attitudes toward artificial intelligence and their perceptions of ChatGPT usage and influencing factors
Tuncer, Gülsüm Zekiye; Tuncer, Metin
Purpose: This study aimed to investigate professional nurses’ general attitudes toward artificial intelligence, their knowledge and perceptions of ChatGPT usage, and the influencing factors. Methods: The population of the research consists of nurses who follow a social media platform account in Turkey. The sample of the study consisted of 288 nurses who participated in the study between December 2023 and March 2024. Data were collected through an account on a social media platform via Google Forms using the Information Identification Questionnaire for ChatGPT and Artificial Intelligence Programs and the General Attitudes to Artificial Intelligence Scale (GAAIS). Results: The mean scores obtained from the overall GAAIS and its Positive Attitudes subscale from the participants in this study were 67.54 ± 13.14 and 41.89 ± 11.24, respectively. Of the participants, 48.3% knew about ChatGPT and artificial intelligence programs. Of the participants, 27.8% used ChatGPT and artificial intelligence programs. Their scores for the Positive Attitude subscale were higher than were the scores of those who did not use such programs. Of the participants, 84.4% thought that nurses should be made aware of ChatGPT and artificial intelligence programs, 67% thought that the use of these programs would contribute to nurses’ professional development, 42.4% thought that the use of these programs would not reduce nurses’ workload, and 58.3% thought that the use of these programs would positively affect patient care. Conclusion: In this study, it can be said that nurses in Turkey have positive attitudes toward integrating ChatGPT and AI programs to improve patient outcomes and add them to nursing practices. Implications for nursing practice: The present study in which nurses’ attitudes toward the implementation of ChatGPT and artificial intelligence programs were investigated is expected to provide information for healthcare institutions, policy makers and artificial intelligence developers on the integration of ChatGPT and artificial intelligence into nursing practice. It is necessary to create environments that use AI technologies that reduce the nursing workload of nurses in the clinical area and positively affect the quality of patient care.