ABSTRACT
Aim: This study describes Jordanian intensive care unit nurses' satisfaction with their physical environment and investigates the association between workplace physical environment and nurses' safety compliance. Additionally, the study offers serial mediation analyses of psychological and behavioral factors between satisfaction with the workplace physical environment and nurses' safety compliance. Introduction: Compliance with safety measures is a vital indicator of safety performance, as less compliance directly reflects undesirable safety outcomes among nurses, like occupational accidents, injuries, and fatalities. Social cognitive theory and the safety triad model contribute to understanding safety compliance behaviors to safety procedures. Thus, enhancing safety compliance in healthcare organizations remains a challenge and concern. Methods: A quantitative research method was used based on cross-sectional and descriptive data from eight governmental hospitals in Jordan. The population included all intensive care unit nurses in the Ministry of Health's hospitals (n = 1104). A cluster sampling technique selected 285 nurses to participate. Empirical results were obtained through structural equation modeling (i.e., Smart PLS-SEM), which has become popular in this kind of research. Results: The mean of Jordanian ICU nurses' satisfaction with the workplace physical environment was 3.36, which is moderate. Although the Smart PLS findings did not support the direct association between the workplace physical environment and nurses' safety compliance, serial mediation of safety participation in the workplace physical environment and nurses' safety compliance and perceived safety management commitment confirm the indirect association in the study model. Conclusion: This study fills a gap in available safety and nursing literature, especially when considering the scarce studies that investigated the physical elements in the workplace and both safety compliance and safety participation. The findings are valuable for academicians, health providers, and policymakers and may trigger creative ideas and interventional solutions to improve nurses' safety compliance in healthcare organizations.
ABSTRACT
This study aimed to investigate the effect of oral supplementation of rumen-protected L-arginine on semen quality, testes, and accessory genital glands biometry in rams. Ten apparently healthy and fertile rams were randomly divided into two equal groups; control, and rumen-protected L-arginine (20 mg/Kg body weight for 30 days) treated group. In all rams, ultrasonographic measurements of the testes and the accessory genital glands and blood sampling were performed at day (D)10, D20, and D30 (D0 is the start of supplementation). Semen ejaculates were collected twice/week and semen quantity, and quality was examined. Our results showed that, in the L-arginine treated group, there were significant increase in the ultrasound biometric measurement of right seminal vesicle (RSV) and right Cowper's gland (RCG) at D10, both testes, tail of the epididymis (TE), SV, and CG of both sides at D20, and of both testes, RTE, RSV, RCG, and LSV at D30. Semen quality and quantity parameters were significantly improved in L-arginine treated group. Moreover, testosterone level in the L-arginine treated group was significantly higher than that in the Control group. Serum thyroxine and glutathione peroxidase concentrations were significantly higher in the L-arginine treated group. The present study concluded that oral supplementation with rumen-protected L-arginine is beneficial in improvement of rams' fertility.
ABSTRACT
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.
