The holistic nursing competence and transition shock of newly graduated nurses as the determinants of missed nursing care: The mediation analysis.

AIMS AND OBJECTIVE: To investigate the determinants of missed nursing care and to analyse the mediating effect of holistic nursing competence on the relationship between transition shock and missed nursing care. BACKGROUND: Transition shock of newly graduated nurses is associated with missed nursing care. Previous studies have shown the determinants of missed nursing care among nurses, but little is known about the relationship between missed nursing care, transition shock and holistic nursing competence. DESIGN: Descriptive and correlational design. METHODS: The study was conducted among newly graduated nurses (n = 201) working in acute care hospitals for 1-12 months. The MISSCARE survey, Holistic Nursing Competence Scale and Nursing Transition Shock Scale were used for data collection, in addition to a sociodemographic question form. Data were analysed using Pearson correlation, multiple regression and mediation analyses. The study was reported following the STROBE checklist. RESULTS: The determinants of missed nursing care among newly graduated nurses were sex, unit type, rotating shift work, holding a certificate, holistic nursing competence and transition shock. All these variables explain 35% of the variance in missed nursing care. Holistic nursing competence directly mediated 51.7% of the relationship between transition shock and missed nursing care. CONCLUSIONS: Holistic nursing competence may decrease missed nursing care by reducing the effects of transition shock on newly graduated nurses. RELEVANCE TO CLINICAL PRACTICE: The study highlighted that newly graduated nurses are an important population regarding missed nursing care. The determinants of missed care should be considered in the nursing care delivery to prevent missed care by newly graduated nurses. Based on the study findings, some recommendations were made for nurse managers and faculty for the orientation program and undergraduate nursing education.

Influence of technical, cognitive and socio-emotional factors on digital literacy in nursing students assessed using structural equation modeling.

BACKGROUND: Digital literacy is one of the 21st-century skills that nursing students should develop and acquire. Several factors influencing digital literacy have been identified, but the predictive role of technical, cognitive, and socio-emotional factors in digital literacy remains unexplored in nursing students. OBJECTIVE: This study aimed to explore the digital literacy level and determine the predictive role of technical, cognitive, and socio-emotional factors in digital literacy among nursing students in Turkey using a structural equation modeling (SEM)-based approach. DESIGN: A web-based, predictive, cross-sectional study. SETTINGS: This study was conducted among first-, second-, third- and fourth-year students in a nursing faculty located in the capital of Turkey in the academic year 2021-2022. PARTICIPANTS: Overall, 210 nursing students were recruited for this study. METHODS: The use of a digital literacy model guided data collection. Data were collected between 8 and 28 June 2022 using online Google Forms. The data were analyzed using descriptive statistics and SEM. RESULTS: Nursing students' digital literacy mean score was 67.29 (13.60). Internet self-efficacy (ß = 0.31, p < 0.001), online information search strategies (ß = 0.20, p = 0.003), and online privacy concerns (ß = 0.14, p = 0.024) were positive predictors, whereas social media use (ß = -0.13, p = 0.032) was a negative predictor of digital literacy. Among these variables, Internet self-efficacy had the most significant influence on the digital literacy level. The four variables contributed to 22 % of variance in the digital literacy level. CONCLUSIONS: This study shows nursing students' digital literacy level is above average. Our findings suggest that technical, cognitive, and socio-emotional factors influence digital literacy.

University Students' Risk Perception, Protective Measures, and General Health During the COVID-19 Pandemic in Turkey.

OBJECTIVE: This study aimed to investigate university students' risk perception, protective measures, and general health during the coronavirus disease 2019 (COVID-19) pandemic in Turkey. METHODS: The research sample consisted of 1920 university students. The data were collected through an online questionnaire. RESULTS: A total of 56.6% of the students considered their risk of being infected with the COVID-19. The number of measures taken by students was lower than expected. Students' increased anxiety perceived individual risk level, insufficient social support perceptions, and their perceptions of the current pandemic more serious than previous epidemics affect the number of measures they take. Students had sleep and study problems, and suicidal thoughts in the social isolation period. Sex, studying in medicine, anxiety related to COVID-19, feeling unconfident in coping with the pandemic, social support, were determined to be risk factors regarding general health, sleep and study problems, and suicidal thoughts. CONCLUSIONS: The results of the study showed that the measures taken by university students were insufficient and the precautions were affected by many factors. It was determined that their health was adversely affected by the pandemic. University administrations and decision-makers should consider the risk factors to improve the students' experiences in such pandemics and emergencies.