Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by consumers despite their benefits. For these advantages to be realized, adoption of the system is necessary. In this study, we examined how self-determination of health management influences individuals’ intention to implement a PHR system, i.e., their ability to actively manage their health. Using an extended technology acceptance model (TAM), the researchers developed and empirically tested a model explaining public adoption of PHRs. In total, 389 Saudi Arabian respondents were surveyed in a quantitative cross-sectional design. The hypotheses were analysed using structural equation modelling–partial least squares (SEM-PLS4). Results indicate that PHR system usage was influenced by three major factors: perceived ease of use (PEOU), perceived usefulness (PU), and security towards intention to use. PHR PEOU and PHR intention to use were also found to be moderated by privacy, whereas usability positively moderated PHR PEOU and PHR intention to use and negatively moderated PHR PU and PHR intention to use. For the first time, this study examined the use of personal health records in Saudi Arabia, including the extension of the TAM model as well as development of a context-driven model that examines the relationship between privacy, security, usability, and the use of PHRs. Furthermore, this study fills a gap in the literature regarding the moderating effects of privacy influence on PEOU and intention to use. Further, the moderating effects of usability on the relationship between PEOU, PU, and intention to use. Study findings are expected to assist government agencies, health policymakers, and health organizations around the world, including Saudi Arabia, in understanding the adoption of personal health records.

Patient safety concept has achieved more attention from healthcare organizations to improve the safety culture. This study aimed to investigate patient safety attitudes among doctors and nurses and explore associations between workload, adverse events, and experience with patient safety attitudes. The study used a descriptive cross-sectional design and the Turkish version of the Safety Attitudes Questionnaire. Participants included 73 doctors and 246 nurses working in two private hospitals in Northern Cyprus. The participants had negative perceptions in all patient safety domains. The work conditions domain received the highest positive perception rate, and the safety climate domain received the lowest perception rate among the participants. Nurses showed a higher positive perception than doctors regarding job satisfaction, stress recognition, and perceptions of management domains. There were statistically significant differences between experiences, workloads, adverse events, and total mean scores of patient safety attitudes. Policymakers and directors can improve the quality of care of patients and patient safety by boosting the decision-making of health care providers on several domains of safety attitudes. Patient safety needs to be improved in hospitals through in-service education, management support, and institutional regulations.

Background: Adequate incident reporting practices for clinical incident among nurses and even all healthcare providers in clinical practice settings is crucial to enhance patient safety and improve the quality of care delivery. This study aimed to investigate the level of awareness of incident reporting practices and identify the barriers that impact incident reporting among Jordanian nurses. Methods: A descriptive design using a cross-sectional survey was employed among 308 nurses in 15 different hospitals in Jordan. Data collection was conducted between November 2019 and July 2020 using an Incident Reporting Scale. Results: The participants showed a high level of awareness of the incident reporting with a mean score of 7.3 (SD = 2.5), representing 94.8% of the highest score. Nurses perceived their reporting practices at the medium level, with a mean score of 2.23 out of 4. The main reporting barriers included worrying about disciplinary actions, fearing being blamed, and forgetting to make a report. In regard to awareness of incident reporting, there were statistically significant differences in the mean for total awareness of the incident reporting system scores according to the type of hospital (p < .005*). In regard to self-perceived reporting practices, nurses working in accredited hospitals demonstrated statistically significant differences in self-perceived reporting practices (t = 0.62, p < .005). Conclusions: The current results provide empirical results about perceived incident reporting practices and perceived barriers to reporting frequently. Recommendations are made to urge nursing policymakers and legislators to provide solutions for those barriers, such as managing staffing issues, nursing shortage, nurses’ empowerment, and fear of disciplinary actions by front-line nurse managers.

The pandemic’s context is rife with numerous dangerous threats and high fear levels, influencing human decision-making. Such characteristics are identified by investigating the acceptance of exposure detection apps from the technology acceptance model (TAM) perspective. This study purposed a model to investigate protection technology acceptance, specifically exposure detection apps in the context of COVID-19. Quantitative study approach and a cross-section design targeted 586 participants from Saudi Arabia. As the study model is complex, the study hypotheses were analysed using the structural equation modelling–partial least squares (SEM-PLS3) approach. The findings support the entire model hypothesis except the link between social media awareness and exposure detection apps’ intention. Mediation of COVID-19 anxiety and influence was confirmed as well. The current paper contributes to the technologies acceptance domain by developing a context-driven model comprising the major pandemic characteristics that lead to various patterns of technology acceptance. This study also fills the literature gap regarding mediating effects of social influence and COVID-19 anxiety in the relationship between trust in government and exposure detection apps implementation, and between COVID-19 anxiety and exposure detection apps implementation, respectively. The results may assist government agencies, health policymakers, and health organisations in the wide world and specifically Saudi Arabia, in their attempts to contain the COVID-19 pandemic spread.

Background: As artificial intelligence (AI) continues to permeate various sectors including healthcare, understanding its impact on nursing students’ attitudes and intentions to use is crucial. To examine the association of AI ethical awareness, attitudes, anxiety, and intention-to-use AI technology among Jordanian nursing students. Method: A descriptive, cross-sectional design was used. The study was conducted in three private universities in Jordan, utilizing a convenience sampling technique; data were collected from a sample of 140 nursing students between January and March 2024. Results: Results showed moderate levels of AI ethical awareness, attitudes toward AI technology, anxiety to use AI, and intention-to-use AI technology among Jordanian nursing students. There are no significant differences found in the levels of AI ethical awareness, attitudes toward AI technology, anxiety to use AI, and intention-to-use AI based on gender and study year ( p < 0.01). Intention-to-use AI had a significant positive relationship with AI ethical awareness ( r = 0.521, p < 0.001), students’ attitudes toward AI (0.558, p < 0.001), and anxiety to use AI ( r = 0.407, p < 0.001). Conclusion: The need to keep pace with technological developments is urgent and crucial, especially in nursing educational institutions. The findings shed important light on the levels of behavioral intention toward AI, as well as on variables such as ethical awareness, attitudes, and anxiety about AI, and the effect of demographics on participants’ attitudes, anxiety, and intentions to use AI technology.

Game-based virtual reality phone applications can create a realistic environment to prepare for clinical applications and improve students’ knowledge of and compliance with standard precautions. An experimental study was performed among 126 nursing students’ from the third and fourth nursing levels to determine the effect of online education and game-based virtual reality phone applications related to standard precautions. Students were divided randomly into two groups; the experimental group used online education and game-based virtual reality phone applications, while the control group used traditional education. The study was performed between July and August 2019 to prevent clashes with lectures and midterm and final examinations. A tool package including knowledge, attitude, and compliance with standard precautions was used in pre-and post-tests among nursing students. The results showed that the knowledge of, attitudes towards, and compliance with standard precautions differed between the two groups. The performance of the experimental group of nursing students significantly improved with online instruction and game-based virtual reality phone applications. This study demonstrated the effectiveness of online education and game-based virtual reality phone application among nursing students.