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Background: The quality and safety education for nurses (QSEN) competency program represents a valuable initiative in nursing practice and education, equipping nurses with the essential knowledge, attitude, and skills (KAS) required to deliver safe, efficient, and patient-centered care. Purpose: This study aims to determine the impact of QSEN competency on the KAS of nurses in Palestine. Method: A quasi-experimental pre-test and post-test design with two groups was used utilizing a questionnaire to collect data from 164 Junior nurses in two governmental hospitals within the period of 25th, January to the 10th February 2024. Patricia Benner's theory suggests that a strong educational foundation and diverse experiences enable nurses to enhance their patient care knowledge and abilities over time. Results: The findings indicate that nurses in Palestine can benefit from targeted interventions and QSEN educational programs aimed at improving their patient-centered care competence, as post-test scores show a significant rise over pre-test scores. Junior nurses who participated in the QSEN program experienced a 57% increase in knowledge, a 57% increase in skills, and a 64% increase in attitudes. The intervention significantly improved knowledge (77.02 vs. 49.19, p < 0.001), quality and safety skills (70.16 vs. 44.61, p < 0.001), and attitudes (75.47 vs. 46.16, p < 0.001) among participants post-procedure, indicating a substantial positive impact on these areas, demonstrating the effectiveness of the educational intervention. Conclusion: The study demonstrates that an educational intervention improves junior nurses' KSAs for six QSEN competencies, leading to higher average scores in quality and safety competence subscales, thereby enhancing staff satisfaction, and reducing medical errors, and patient safety. [ABSTRACT FROM AUTHOR]

Background: Bullying at work is a major challenge that harms an employee's overall well-being, job happiness, and mental health. Objectives: To assess the relationship between workplace bullying and Jordanian nurses' mental health. Materials and Methods: A descriptive, cross-sectional correlational design was used in this study, recruiting 146 nurses from three governmental hospitals in Jordan. A convenience sample was used. The study used the Negative Acts Questionnaire-Revised (NAQ-R) tool to measure the level of bullying as a negative behavior. Also, the Depression Anxiety Stress Scale (DASS-42) was used to assess nurse's mental status. Results: Most of the participants 54.8% were victims of frequent workplace bullying, while the mean score of the total DASS-42 scale (M = 43.45). About 64.4% of participants exhibited symptoms of depression, 58.8% exhibited symptoms of anxiety, and 46.6% exhibited symptoms of stress. A significant relationship between workplace bullying and mental health among Jordanian nurses was found (r = 0.75, p < 0.001). Conclusion: Bullying at work can harm a person's mental health, causing stress, worry, and depression. Like other professions, nursing can be the target of workplace bullying, which can take many different forms. However, maintaining a safe and respectful workplace is a priority for healthcare providers including nurses. LAY SUMMARY: Bullying at the workplace is prevalent among nurses, mostly among single, rotating shifts. More than half of nurses had moderate symptoms of depression and anxiety that affected their mental health status. Thorough studies should be conducted to ascertain the prevalence, effect, and consequences of bullying in the workplace among nurses. Policies and protocols should take place to prevent workplace bullying among healthcare providers. In January 2022, Jordan did have laws and regulations pertaining to work health and safety, including labor law, occupational safety and health legislation, and the Ministry of Labor that had regulations applicable to workplace safety. However, none of these regulations and laws take specific legislation related to workplace bullying. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to explore the effects of cat-assisted therapy (Ca-AT) on a patient in their homes, specifically investigating the effects on patient's memory, behavioral pathology and ability to perform activities of daily living, independently. Design/methodology/approach: A case study design was used in patient's homes using three measuring scales, namely, Mini-Mental State Examination (MMSE), Barthel index (BI) and Behavioral Pathology in Alzheimer's Disease (AD) Rating Scale. Findings: The MMSE and BI mean scores were increased, whereas the Behavioral Pathology mean score was decreased. Patient negative behaviors were improved specifically, aggressiveness, anxieties, phobias, and caregiver burden was decreased. Practical implications: Patients with AD could significantly benefit from Ca-AT in their own homes, and it could decrease caregiving burden. Originality/value: Ca-AT is a newly developed type of animal-assisted therapy that uses cats to treat patients, especially elderly people with AD, in their homes. [ABSTRACT FROM AUTHOR]

Introduction: Given the vital nature of their profession, ICU nurses endure significant psychological and physical stress. Burnout, low job satisfaction, and deteriorated patient care might result from the high-stress atmosphere., Objectives: This study aims to assess the level of alarm fatigue and stress among nurses who work in acute care units., Methods: A descriptive design was used to recruit nurses in acute care units. A self-administered questionnaire was used to collect the required data composed of three parts, namely demographical data; the alarm fatigue part, which was created by Torabizadeh et al. and composed of 13 items, and the perceived stress scale (PSS) which is a psychological diagnostic instrument created to assess how much people find their daily lives to be stressful. It was created by Cohen et al. and composed of 10 items., Results: An average age of (35.3 ± 6.24) years, and an average number of years of experience of (7.63 ± 5.56), were found among the 128 nurses that were recruited. Acute care nurses had a significant degree of alarm fatigue, as indicated by the overall alarm fatigue score of ( M  = 30.1 ±  SD  = 7.47). A moderate degree of stress was also indicated by the overall perceived stress score, which was ( M  = 21.5 ± 5.02). Among nurses, alarm fatigue and felt stress are not correlated with any demographic feature, including sex, educational attainment, marital status, and working location., Conclusion: Stress and alarm fatigue are serious problems for acute care units that can jeopardize nurse and patient safety. The implementation of methods that mitigate alarm fatigue and stress, such as alarm customization, adequate staffing, and support systems, can enhance the work environment in acute care units. Healthcare companies can raise the grade of care provided to patients and enhance the general well-being and job satisfaction of their nursing staff by addressing these challenges., Competing Interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2024.)

Background: One of the most complicated cardiovascular diseases in the world is heart attack. Since men are the most likely to develop cardiac diseases, accurate prediction of these conditions can help save lives in this population. This study proposed the Chi-Squared Automated Interactive Detection (CHAID) model as a prediction algorithm to forecast death versus life among men who might experience heart attacks. Methods: Data were extracted from the electronic health solution system in Jordan using a retrospective, predictive study. Between 2015 and 2021, information on men admitted to public hospitals in Jordan was gathered. Results: The CHAID algorithm had a higher accuracy of 93.72% and an area under the curve of 0.792, making it the best top model created to predict mortality among Jordanian men. It was discovered that among Jordanian men, governorates, age, pulse oximetry, medical diagnosis, pulse pressure, heart rate, systolic blood pressure, and pulse pressure were the most significant predicted risk factors of mortality from heart attack. Conclusion: With heart attack complaints as the primary risk factors that were predicted using machine learning algorithms like the CHAID model, demographic characteristics and hemodynamic readings were presented., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.