Bu araştırma hizmetkar liderliğin örgütsel bağlılık üzerindeki etkisinde psikolojik güçlendirmenin aracılık rolünü incelemek amacı ile yapılmıştır. Araştırmanın örneklemini İstanbul ilinde faaliyet gösteren özel bir hastanede görev yapan 222 sağlık çalışanı oluşturmaktadır. Araştırmada veri toplama aracı olarak anket kullanılmıştır. Verilerin analizinde IBM SPSS 25.0 programı kullanılmıştır. Değişkenler arasındaki ilişkinin incelenmesinde Pearson Korelasyon Analizi ve Basit Doğrusal Regresyon Analizi kullanılmıştır. Aracılık testinin analizinde Hayes (2018) tarafından geliştirilen Process Makro v3.4 uygulaması ile IBM SPSS programı kullanılmıştır. Katılımcıların hizmetkar liderlik algısı puan ortalaması 3,70±0,87, örgütsel bağlılık puan ortalaması 3,04±0,54, psikolojik güçlendirme puan ortalaması 3,95±0,65 olarak tespit edilmiştir. Yapılan analiz sonucunda hizmetkar liderliğin psikolojik güçlendirme ve örgütsel bağlılık üzerine pozitif etkisi olduğu tespit edilmiştir. Ayrıca, regresyon analizi sonucuna göre psikolojik güçlendirmenin örgütsel bağlılık üzerinde pozitif yönde ve anlamlı bir etkisi olduğu belirlenmiştir. Ancak hizmetkar liderliğin örgütsel bağlılık üzerindeki etkisinde psikolojik güçlendirmenin aracılık etkisinin olmadığı saptanmıştır. Türkiye’de hizmetkar liderliğin örgütsel bağlılık üzerindeki etkisinde psikolojik güçlendirmenin aracı etkisini araştıran başka bir çalışamaya rastlanmamıştır. Bu nedenle bu konuda sağlık sektöründe yeni araştırmaların yapılması uygun olacağı düşünülmektedir.

To increase the value of the nursing profession on a global scale, creating environments that support innovative behaviors and determining the factors that encourage innovative behaviors are of critical importance. The aim of this study is to investigate the relationship between transformational leadership and innovative behavior of nurses and the mediating role of psychological empowerment in this relationship. This study was conducted using a descriptive and cross-sectional design within the framework of quantitative research methods. The study was conducted in four private hospitals affiliated with a health institution in Türkiye. The study group consisted of a sample group of 317 nurses in total. The collected data were analyzed with Structural Equation Modeling (SEM) using Jamovi 2.4.11 statistical software. The results showed that transformational leadership was positively and significantly related to psychological empowerment and innovative behavior (p < 0.001). There was a positive relationship between psychological empowerment and innovative behavior (β = 0.406, p < 0.001). Psychological empowerment had a positive mediating effect on the relationship between transformational leadership and innovative behavior (β = 0.291, p < 0.001). This study examined the effect of transformational leadership on innovative work behaviors and the role of psychological empowerment in mediating this relationship. The findings show that transformational leadership positively affects nurses’ innovative work behaviors, and this effect is strengthened through psychological empowerment. Clinical trial number: not applicable.

In recent years, nurses’ turnover has become a major problem, especially in underdeveloped and developing countries. This research aims to reveal the mediating role of job satisfaction in the effect of nurse-nurse collaboration on turnover intention. This study is a quantitative, descriptive, cross-sectional study. This study was conducted in three private hospitals within a healthcare group in Turkey. The research was conducted with the participation of 534 nurses. These data were analyzed using moderated mediation regressions with the SPSS PROCESS macro. Nurse-nurse collaboration had a significant effect on turnover intention and job satisfaction. Job satisfaction had a significant effect on turnover intention. The mediating effect of job satisfaction on the effect of nurse-nurse collaboration on turnover intention was significant. Our findings show that nurse-nurse collaboration and job satisfaction are important for reducing turnover intention. It shows that job satisfaction is an important mediating variable in the effect of nurse-nurse collaboration on reducing turnover intention. Not applicable

Recent rapid developments in artificial intelligence (AI) technologies are leading to significant changes in social and economic structures. These changes are having a direct impact on young people’s transition to the labour market and their expectations regarding employment. Against this backdrop, the relationship between university students’ concerns about AI and their anxieties about job searching is emerging as a multidisciplinary field of research. This study aims to evaluate the impact of AI-related anxiety on university students’ anxieties about finding employment. This cross-sectional study involved 821 health sciences students from various departments at Turkish universities, including Physical Therapy and Rehabilitation, Pharmacy Services, Medical Secretarial and Documentation, Nursing, Speech and Language Therapy, Midwifery and Health Management. Participants were selected via an online survey distributed by class representatives on WhatsApp. Data were collected using the Artificial Intelligence Anxiety Scale and the Job Search Anxiety Scale, and analysed using Pearson’s correlation and multiple linear regression in the SPSS (v26.0) programme. Of these participants, 82.5% are female, and 59.6% are undergraduates. Studies in Turkey have shown that the proportion of female university students is higher than that of male students. This may partly explain the higher proportion of female participants in the sample. The mean scores on the artificial intelligence anxiety scale and the job search anxiety scale were 3.02 ± 0.80 and 3.16 ± 0.60, respectively. The study revealed a moderate, positive, and significant correlation (r = 0.233, p < 0.001) between artificial intelligence anxiety and job search anxiety. The study revealed that, even when socio-demographic variables were controlled, artificial intelligence anxiety remained a significant predictor of job search anxiety (β = 0.234, p < 0.001). Additionally, it was found that demographic variables such as income status (p = 0.011, β = − 0.088) and educational attainment (p = 0.001, β = 0.208) significantly affected job search anxiety. The findings show that concerns about artificial intelligence are closely linked to students’ expectations regarding employment after graduation. It has therefore been concluded that artificial intelligence anxiety is not merely an attitude toward technology but an important psychological factor shaping students’ perceptions of their professional futures and fears of unemployment. The research results suggest that enhancing educational programmes and career counselling services to boost artificial intelligence literacy at the university level could play a significant role in alleviating students’ anxiety about job hunting.

Recent challenges brought by the coronavirus disease-2019 pandemic have underscored the importance of coping with pressures on the workforce in healthcare around the world and have emphasised the continuing need to improve quality and operation efficiency of healthcare services even in such dire circumstances. Over the years, lean thinking has gained recognition in the healthcare industry, where lean has been associated with benefits, such as improved healthcare delivery quality, reduced costs and increased effectiveness of the healthcare delivery processes. Lean thinking has also been analysed in human resources with benefits, such as increased job satisfaction and perceived job autonomy. The current narrative review was planned to analyse and discuss the application and implementation of lean strategies with a particular focus on human resource management in healthcare. The review is complemented by a case study in a private healthcare group in Turkey, ---Continue

Patient satisfaction is a fundamental indicator of healthcare quality. However, while structural factors affecting satisfaction have been extensively studied in the literature, perceptions of the service process and the communication dimension have been relatively neglected. It offers concrete suggestions for developing strategies to increase trust in the health system, improve patient satisfaction, and achieve sustainable quality in health services. This study aims to examine the relationship between trust in the healthcare system and the level of patient satisfaction. This study used a descriptive cross-sectional design. Data were collected in Türkiye between March and August 2023 through an online survey using the snowball sampling method, involving 1010 individuals utilizing family medicine services. Validated instruments included: (1) a Descriptive Characteristics Form covering gender, education, and employment; (2) the Trust in the Health Care System Scale; and (3) a Patient Satisfaction Scale. Trust correlated strongly with satisfaction (r = 0.715, p < 0.001). Regression analysis showed trust sub-dimensions significantly predicted satisfaction (R²=0.512), with marital and employment status also influencing outcomes (p < 0.05). Trust in the healthcare system strongly predicted patient satisfaction (p < 0.001) and explained significant variance (Nagelkerke R²=0.512). This study found that patient satisfaction is significantly influenced by individual characteristics, service quality, and trust in the healthcare system. These findings suggest that policies to enhance patient satisfaction should adopt comprehensive strategies that reinforce public trust in all aspects of the healthcare system. Policies should not only focus on service delivery to enhance patient satisfaction, but also adopt comprehensive strategies that strengthen trust in the healthcare system. Policies aimed at increasing trust should incorporate multidimensional strategies, including transparency, accountability, effective communication, and the sustainability of service quality. These approaches will not only improve current satisfaction levels but also strengthen long-term social commitment to the healthcare system.