Development and psychometric evaluation of nurse’s intention to care for patients with infectious disease scale: an exploratory sequential mixed method study

Abstract Aims Nurses who care for patients with infectious disease may experince significant stress and negative psychological reactions. The intention of nurses to care is a complex and multifaceted concept that is influenced by a range of factors. Therefore, this study was conducted to explain the concept of nurses’ intention to care for patients with infectious disease and then develop a reliable and valid scale to measure this concept accurately in Iranian nurses. Design This study is a cross-sectional study with a sequential-exploratory mixed-method approach from May 2022 to July 2023. The concept of nurses’ intent to care for patients with infectious disease was explain using deductive content analysis, and item pools were generated. In the sconed step the samples were 455 nurses. Data was collected by an online form questionnaire using a convenience sampling technique. In this step to determine the psychometric properties of nurse’s intention to care for patients with infectious disease scale (NICPS), face and content validity performed. Then construct validity was determined and confirmed using exploratory and confirmatory factor analysis followed by convergent and divergent validity respectively. Finally, scale reliability including stability and internal consistency were evaluated. Results The finding showed that NICPS with seventeen items were classified into three factors namely “Social support” with seven items, “Spiritual motivation” with six items and “Job satisfaction” with four items. These three factors explained 56.14% of the total variance. The fit indices showed that the model has a fit and acceptable (TLI, CFI, IFI > 0.9; PNFI, PCFI > 0.5, REMSEA > 0.049, CMIN/DF = 2.477). Reliability revealed acceptable internal consistency and stability (> 0.7). Conclusion The finding showed that NICPS has three factors in Iranian nurses. Nursing managers can use these results to provide training and support intervention for nurses in order to increase their intention to care for this patient. Also, the NICPS is a reliable and valid for evaluating this concept in future studies

Factors affecting nursing student acceptance of online learning under the COVID-19 pandemic

Introduction: The advantages of online learning are enhancing independence and incentive of students for learning, improving the connection between individuals and making flexibility in time and place for doing the activity. This study endeavored to determine factors affecting nursing students’ acceptance of online learning during the COVID-19 pandemic Methods: This cross-sectional descriptive-analytical study that was done with a sample of students on Islamic Azad University of Gorgan and Neishaboor's. Convenience sampling was done and 368 of 500 students participated in the study. The questionnaire consisted of demographic questions, educational information and translated questionnaires that included student perceptions of an online course, University student engagement inventory and acceptance of online learning. Descriptive statistics were employed to assess demographic characteristics simple and multiple linear regression models were used to analyze the predictor variables of students' acceptance of online learning. Pvalue<0.05 was considered for all tests. Results: The effective factors on student's acceptance for online learning was widespread high-speed Internet access at home, increasing the quality of connection to Internet and increasing the quality of laptop, tablet or mobile phone. On the other hand, multiple linear regression results showed only the remaining variables in the model were increasing the score of the course content (β=0.18, P0.001). It is of note that this model had an explanatory power of 46%. Conclusion: According to the results of the study, if teachers strengthen the content of the course and create the creativity in interaction and use of all the features of the online learning system, we can hope that the rate of online learning acceptance among students will increase

Validity and Reliability of the Persian Version of COVID-19 Anxiety Syndrome Scale Among the Iranian General Population.

The crisis of the COVID-19 prevalence in Iran, as well as the world, caused mental disorders and anxiety syndrome. The COVID-19 anxiety syndrome scale (C-19ASS) assesses conceptually and psychometrically the nature of the COVID-19 threat experience instead of a response to the threat, fear, and COVID-19 anxiety. Therefore, the aim of this study is to evaluate the psychometric properties of the Persian version of the anxiety syndrome scale of COVID-19 in the population of Iran. The Persian version of C-19ASS was sent to Iranian adults via online social networking applications and finally, 932 adults responded to the questionnaire. The results of exploratory factor analysis revealed two-factor structures for C-19ASS, which explained 48.70% of the total variance. Given the confirmatory factor analysis findings, all goodness of fit indices confirmed the model fit. All coefficients of internal consistency were estimated as acceptable reliability. The results showed that the C-19ASS has good psychometric properties, and can be used by researchers, psychologists, and healthcare providers to assess the anxiety syndrome of the Iranian population during the COVID-19 pandemic

Additional file 1 of Development and psychometric evaluation of nurse’s intention to care for patients with infectious disease scale: an exploratory sequential mixed method study

Supplementary Material 1: Availability of data and materia

Bullying behaviors and intention to drop-out among nursing students:the mediation roles of sense of belonging and major satisfaction

Bullying in academic settings has long-lasting implications on students’ well-being and career prospects, particularly in fields like nursing that require a high level of interpersonal skills and emotional resilience. This study explored the relationships between experiences of bullying and intentions to drop out among Iranian nursing students, with major satisfaction and a sense of belonging serving as mediating factors. A cross-sectional research design was employed from April to June 2023. Undergraduate nursing students (n = 386) filled out a five-part questionnaire namely demographic and educational information, bullying behaviors in nursing education environments, the Belongingness scale, intention to drop out, and academic major satisfaction scale. The study confirmed that experiences of bullying positively correlated with intentions to drop out, negatively affected students’ sense of belonging and major satisfaction, and established that course satisfaction and a sense of belonging acted as mediators between bullying and intentions to drop out. The findings show the urgent need for anti-bullying interventions targeting faculty behavior and educational strategies aimed at fostering a sense of belonging and course satisfaction among nursing students.</p

The impact of student computer competency on e‐learning outcomes: A path analysis model of virtual learning infrastructure, collaboration, and access to electronic facilities

Aim: This study explored the influence of student computer competency on e‐learning outcomes among Iranian nursing students and examined its mediating role in the relationship between virtual learning infrastructure, student collaboration, access to electronic facilities, and e‐learning outcomes. Design: A cross sectional study. Method: A self‐administered online survey was used from August to October 2022, with a sample size of 417 nursing students selected through convenience sampling. Descriptive statistics, correlation analyses, and PROCESS macro v4.1 (Model 4) were used for data analysis. Results: The results revealed that virtual learning infrastructure, access to electronic facilities, and student collaboration, significantly predict student computer competency and e‐learning outcomes. Virtual learning infrastructure and access to electronic facilities were found to be the strongest predictors of student computer competency, while student collaboration had a smaller but still significant effect. Student computer competency was found to mediate the relationship between virtual learning infrastructure, access to electronic facilities, student collaboration, and e‐learning outcomes