Chronic Myeloid Leukemia in Adolescents and Young Adults: Clinicopathological Variables and Outcomes.

INTRODUCTION: Adolescents and young adults (AYAs) diagnosed with chronic myeloid leukemia (CML) constitute a significant demographic group, particularly in regions with youthful populations like Qatar. Despite the global median age of CML diagnosis being 65 years, Qatar's age distribution reflects a younger cohort. This study investigates whether AYAs with CML exhibit distinct clinicopathological characteristics or outcomes compared to older age groups. METHODS: A total of 224 CML patients were enrolled, including 114 AYAs (defined as ages 15 through 39). Demographic and clinical parameters, including gender, BMI, BCR-ABL1 transcript type, white blood cell (WBC) count, hemoglobin level, platelet count, and spleen size, were compared between AYAs and older patients. Prognostic scoring systems (Sokal, Hasford, EUTOS, and ELTS) and molecular response rates (MMR and DMR) were also evaluated. RESULTS: AYAs demonstrated higher WBC counts at diagnosis (median 142.3 vs. 120; p = 0.037) and lower hemoglobin levels (10.5 vs. 11.40; p = 0.004) compared to older patients. Spleen size was significantly larger in AYAs (18.8 vs. 15.5; p = 0.001). While AYAs showed better prognostic scores by Sokal and Hasford criteria, EUTOS and ELTS scores indicated comparable risk stratification. However, AYAs exhibited lower rates of MMR (56.7% vs. 73.4%; p = 0.016) and achieved MMR at a slower pace (median time 130 vs. 103 months; p = 0.064). Similarly, the percentage of DMR was lower in AYAs (37.1% vs. 46.8%; p = 0.175). CONCLUSION: Despite their younger age, AYAs with CML displayed poorer prognoses compared to older patients. These findings underscore the importance of tailored management strategies for AYAs with CML to optimize outcomes in this distinct patient population.

Utilizing machine learning to facilitate the early diagnosis of posterior circulation stroke.

BACKGROUND: Posterior Circulation Syndrome (PCS) presents a diagnostic challenge characterized by its variable and nonspecific symptoms. Timely and accurate diagnosis is crucial for improving patient outcomes. This study aims to enhance the early diagnosis of PCS by employing clinical and demographic data and machine learning. This approach targets a significant research gap in the field of stroke diagnosis and management. METHODS: We collected and analyzed data from a large national Stroke Registry spanning from January 2014 to July 2022. The dataset included 15,859 adult patients admitted with a primary diagnosis of stroke. Five machine learning models were trained: XGBoost, Random Forest, Support Vector Machine, Classification and Regression Trees, and Logistic Regression. Multiple performance metrics, such as accuracy, precision, recall, F1-score, AUC, Matthew's correlation coefficient, log loss, and Brier score, were utilized to evaluate model performance. RESULTS: The XGBoost model emerged as the top performer with an AUC of 0.81, accuracy of 0.79, precision of 0.5, recall of 0.62, and F1-score of 0.55. SHAP (SHapley Additive exPlanations) analysis identified key variables associated with PCS, including Body Mass Index, Random Blood Sugar, ataxia, dysarthria, and diastolic blood pressure and body temperature. These variables played a significant role in facilitating the early diagnosis of PCS, emphasizing their diagnostic value. CONCLUSION: This study pioneers the use of clinical data and machine learning models to facilitate the early diagnosis of PCS, filling a crucial gap in stroke research. Using simple clinical metrics such as BMI, RBS, ataxia, dysarthria, DBP, and body temperature will help clinicians diagnose PCS early. Despite limitations, such as data biases and regional specificity, our research contributes to advancing PCS understanding, potentially enhancing clinical decision-making and patient outcomes early in the patient's clinical journey. Further investigations are warranted to elucidate the underlying physiological mechanisms and validate these findings in broader populations and healthcare settings.

Quercetin for the treatment of COVID-19 patients: A systematic review and meta-analysis.

Currently approved therapies for COVID-19 are mostly limited by their low availability, high costs or the requirement of parenteral administration by trained medical personnel in an in-hospital setting. Quercetin is a cheap and easily accessible therapeutic option for COVID-19 patients. However, it has not been evaluated in a systematic review until now. We aimed to conduct a meta-analysis to assess the effect of quercetin on clinical outcomes in COVID-19 patients. Various databases including PubMed, the Cochrane Library and Embase were searched from inception until 5 October 2022 and results from six randomized controlled trials (RCTs) were pooled using a random-effects model. All analyses were conducted using RevMan 5.4 with odds ratio (OR) as the effect measure. Quercetin decreased the risk of intensive care unit admission (OR = 0.31; 95% confidence interval (CI) 0.10-0.99) and the incidence of hospitalisation (OR = 0.25; 95% CI 0.10-0.62) but did not decrease the risk of all-cause mortality and the rate of no recovery. Quercetin may be of benefit in COVID-19 patients, especially if administered in its phytosome formulation which greatly enhances its bioavailability but large-scale RCTs are needed to confirm these findings.

The experience of patients with hematological malignancy in their terminal stage: a phenomenological study from Jordan's perspective.

BACKGROUND: Patients diagnosed with hematological malignancies residing in low-middle-income countries undergo significant physical and psychological stressors. Despite this, only 16% of them receive proper care during the terminal stages. It is therefore crucial to gain insight into the unique experiences of this population. AIM: To have a better understanding of the needs and experiences of adult patients with advanced hematological malignancy by exploring their perspectives. METHODS: A qualitative interpretive design was employed to collect and analyze data using a phenomenological approach. The study involved in-depth interviews with ten participants aged between 49 and 65 years, utilizing a semi-structured approach. RESULTS: Two primary themes emerged from the participants' experiences of reaching the terminal stage of illness: "Pain, Suffering, and Distress" and "Spiritual Coping." The first theme encompassed physical and emotional pain, suffering, and distress, while the second theme was centered on the participants' spiritual coping mechanisms. These coping mechanisms included seeking comfort in religious practices, relying on spiritual support from family and friends, and finding solace in their beliefs and faith. CONCLUSION: Patients with hematological malignancies in the terminal stages of their disease experience severe pain, considerable physical and psychosocial suffering, and spiritual distress. While they require support to cope with their daily struggles, their experiences often go unnoticed, leading to disappointment and loss of dignity. Patients mainly rely on their spirituality to cope with their situations. Healthcare providers must acknowledge these patients' needs and provide more holistic and effective care.

Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases.

Electrocardiography (ECG), improved by artificial intelligence (AI), has become a potential technique for the precise diagnosis and treatment of cardiovascular disorders. The conventional ECG is a frequently used, inexpensive, and easily accessible test that offers important information about the physiological and anatomical state of the heart. However, the ECG can be interpreted differently by humans depending on the interpreter's level of training and experience, which could make diagnosis more difficult. Using AI, especially deep learning convolutional neural networks (CNNs), to look at single, continuous, and intermittent ECG leads that has led to fully automated AI models that can interpret the ECG like a human, possibly more accurately and consistently. These AI algorithms are effective non-invasive biomarkers for cardiovascular illnesses because they can identify subtle patterns and signals in the ECG that may not be readily apparent to human interpreters. The use of AI in ECG analysis has several benefits, including the quick and precise detection of problems like arrhythmias, silent cardiac illnesses, and left ventricular failure. It has the potential to help doctors with interpretation, diagnosis, risk assessment, and illness management. Aside from that, AI-enhanced ECGs have been demonstrated to boost the identification of heart failure and other cardiovascular disorders, particularly in emergency department settings, allowing for quicker and more precise treatment options. The use of AI in cardiology, however, has several limitations and obstacles, despite its potential. The effective implementation of AI-powered ECG analysis is limited by issues such as systematic bias. Biases based on age, gender, and race result from unbalanced datasets. A model's performance is impacted when diverse demographics are inadequately represented. Potentially disregarded age-related ECG variations may result from skewed age data in training sets. ECG patterns are affected by physiological differences between the sexes; a dataset that is inclined toward one sex may compromise the accuracy of the others. Genetic variations influence ECG readings, so racial diversity in datasets is significant. Furthermore, issues such as inadequate generalization, regulatory barriers, and interpretability concerns contribute to deployment difficulties. The lack of robustness in models when applied to disparate populations frequently hinders their practical applicability. The exhaustive validation required by regulatory requirements causes a delay in deployment. Difficult models that are not interpretable erode the confidence of clinicians. Diverse dataset curation, bias mitigation strategies, continuous validation across populations, and collaborative efforts for regulatory approval are essential for the successful deployment of AI ECG in clinical settings and must be undertaken to address these issues. To guarantee a safe and successful deployment in clinical practice, the use of AI in cardiology must be done with a thorough understanding of the algorithms and their limits. In summary, AI-enhanced electrocardiography has enormous potential to improve the management of cardiovascular illness by delivering precise and timely diagnostic insights, aiding clinicians, and enhancing patient outcomes. Further study and development are required to fully realize AI's promise for improving cardiology practices and patient care as technology continues to advance.

The mediating role of learning motivation in the relationship among perceived stress and emotional regulation among Saudi nursing students in clinical practice.

BACKGROUND: Nursing students often face high levels of stress due to demanding responsibilities during clinical placement. Emotional regulation, the ability to manage and regulate one's emotions effectively, is crucial for nursing students in dealing with stress and maintaining their overall well-being. Additionally, learning motivation plays a vital role in students' engagement and academic success. The current investigation aimed at studying the link that exists among stress, learning motivation, and emotional regulation among Saudi undergraduate nursing students. The study also aimed at investigating the sequential mediating effects that motivation might perform in this association. METHODS: A quantitative cross-sectional methodology was used in the present research, which recruited 367 Saudi undergraduate nursing students. RESULTS: The results of the ANOVA showed that the level of perceived stress was linearly and negatively correlated with emotional regulation and motivation. Upon conducting structural equation modeling, significant direct and indirect effect pathways were identified between perceived stress, emotional regulation, and motivation, while only indirect pathways were identified between perceived stress and emotional regulation. CONCLUSIONS: This study provides evidence of the mediating role of learning motivation in the relationship between perceived stress and emotional regulation among Saudi nursing students. The results highlight the negative impact of stress on emotional regulation and learning motivation and emphasize the importance of addressing motivational factors in interventions aimed at enhancing emotional regulation among nursing students.

Bridging the gap: How investing in advanced practice nurses could transform emergency care in Africa.

AIM: This paper aims to highlight the vital importance of investing in advanced practice nursing (APN) for enhancing emergency care throughout Africa. BACKGROUND: APN's role is increasingly recognized as pivotal in optimizing healthcare, particularly in emergency settings in Africa. It offers improved patient care quality and strengthens the healthcare workforce. SOURCES OF EVIDENCE: Evidence is drawn from successful implementations of APN in various healthcare environments. This includes the development of APN-specific curricula and training, mentorship initiatives, clinical supervision, and defining advanced nursing roles within healthcare organizations. Investing in APNs in emergency care in Africa can lead to improved quality and access to care, cost-effectiveness, enhanced patient outcomes and satisfaction, and opportunities for professional development and career advancement in the healthcare workforce. DISCUSSION: Despite facing barriers in implementation, APN in emergency care presents innovative solutions. Investing in APN can help healthcare entities and policymakers surmount these challenges, providing specialized patient care and improving health outcomes. The discussion emphasizes the benefits such as enhanced access to care, reduced healthcare costs, and improved patient outcomes, alongside bolstering the healthcare workforce. CONCLUSION: The necessity and benefits of investing in APN for emergency care in Africa are clear. It is crucial for improving healthcare delivery and outcomes. IMPLICATIONS FOR NURSING PRACTICE: APN investment leads to a more competent and efficient nursing workforce, capable of addressing complex emergencies and improving patient care. IMPLICATIONS FOR NURSING POLICY AND HEALTH/SOCIAL POLICY: The paper advocates for policies that support APN development and integration into the healthcare system, emphasizing the need for research to assess APN's long-term impact and establish best practices for its implementation in emergency care across Africa.

Angiotensin-converting enzyme 2 (ACE2) polymorphisms and susceptibility of severe SARS-CoV-2 in a subset of Pakistani population.

Science is digging for the varied presentation of COVID-19 patients exposed to the same risk factors, and medical conditions may be influenced by the presence of polymorphic genetic variants. This study investigated the link between ACE2 gene polymorphisms and the severity of SARS-CoV-2. This cross-sectional study recruited COVID-19 PCR-positive patients by consecutive sampling from Ziauddin Hospital from April to September 2020. DNA was extracted from whole blood, followed by gene amplification and Sanger's sequencing. Most of the patients, 77: 53.8%, were serious. Males were higher (80; 55.9%) with age more than 50 years (106: 74.1%). We found 22 ACE2 SNPs. rs2285666 SNP was most prevalent with 49.2% CC, 45.2% TT, 4.8% CT heterozygosity, and 0.8% AA genotypes. Variants with multiple genotypes were also insignificantly associated with the severity of COVID-19 in the analysis of the dominant model. Only rs2285666 had a significant statistical link with gender (p-value 0.034, OR; 1.438, CI; 1.028-2.011) while rs768883316 with age groups (p-value 0.026, OR; 1.953, CI; 1.085-3.514). Haplotypes ATC of three polymorphisms (rs560997634, rs201159862, and rs751170930) commonly found in 120 (69.77%) and TTTGTAGTTAGTA haplotype consisting of 13 polymorphisms (rs756737634, rs146991645, rs1601703288, rs1927830489, rs1927831624, rs764947941, rs752242172, rs73195521, rs781378335, rs756597390, rs780478736, rs148006212, rs768583671) in 112 (90.32%) had statistically significant association with the severity having p = value 0.029 and 0.001 respectively. Males of old age and diabetics are found to have more severe COVID-19 infection in the current study. We also found that common ACE2 polymorphism rs2285666 influences the susceptibility of acquiring the severe SARS-CoV-2 infection.

Psychometric properties of the Arabic version of the Fertility Quality of Life (FertiQoL) questionnaire tested on infertile couples in Jordan.

BACKGROUND: The Fertility Quality of Life (FertiQoL) questionnaire assesses the quality of life of people with fertility problems. The present study aimed to assess the psychometric properties of the Arabic version of the FertiQoL in infertile couples in Jordan. METHODS: This study used a cross-sectional design among 212 participants with infertility problems. An exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) were conducted to investigate the underlying structure of the novel Arabic version of the FertiQoL tool. RESULTS: The Cronbach's alpha values for the FertiQoL core domain, the FertiQoL treatment domain, and the total FertiQoL scale were 0.93, 0.74, and 0.92, respectively. The EFA indicated a two-domain model, with the first factor having 24 items and measuring "Core QoL". The second factor has 10 items and measures "Treatment QoL" in the context of infertility. The EFA and the CFA supported a two-factor model whereby the two factors explained 48% of the shared covariance between the analyzed quality of life indicators. The indices of goodness-of-fit of the model showed acceptable fit as follows: the chi-squared test (χ2) = 7.943, the comparative fit index (CFI) = 0.999, the root mean square error of approximation (RMSEA) = 0.001, and the Tucker-Lewis index (TLI) = 0.989. CONCLUSION: The study's findings demonstrated the reliability and validity of the Arabic version of the FertiQoL for assessing the quality of life of infertile couples or those in Jordan with no pregnancy or childlessness.

Implications of the medication regimen complexity index score on hospital readmissions in elderly patients with heart failure: a retrospective cohort study.

BACKGROUND: The likelihood of elderly patients with heart failure (HF) being readmitted to the hospital is higher if they have a higher medication regimen complexity index (MRCI) compared to those with a lower MRCI. The objective of this study was to investigate whether there is a correlation between the MRCI score and the frequency of hospital readmissions (30-day, 90-day, and 1-year) among elderly patients with HF. METHODS: In this single-center retrospective cohort study, MRCI scores were calculated using a well-established tool. Patients were categorized into high (≥ 15) or low (< 15) MRCI score groups. The primary outcome examined the association between MRCI scores and 30-day hospital readmission rates. Secondary outcomes included the relationships between MRCI scores and 90-day readmission, one-year readmission, and mortality rates. Multivariate logistic regression was employed to assess the 30- and 90-day readmission rates, while Kaplan-Meier analysis was utilized to plot mortality. RESULTS: A total of 150 patients were included. The mean MRCI score for all patients was 33.43. 90% of patients had a high score. There was no link between a high MCRI score and a high 30-day readmission rate (OR 1.02; 95% CI 0.99-1.05; p < 0.13). A high MCRI score was associated with an initial significant increase in the 90-day readmission rate (odd ratio, 1.03; 95% CI, 1.00-1.07; p < 0.022), but not after adjusting for independent factors (odd ratio, 0.99; 95% CI, 0.95-1.03; p < 0.487). There was no significant difference between high and low MRCI scores in their one-year readmission rate. CONCLUSION: The study's results indicate that there is no correlation between a higher MRCI score and the rates of hospital readmission or mortality among elderly patients with HF. Therefore, it can be concluded that the medication regimen complexity index does not appear to be a significant predictor of hospital readmission or mortality in this population.

Palliative care needs of Jordanian women's experience of living with stroke: a descriptive phenomenological study.

BACKGROUND: Stroke is a prevalent neurological disease that can have a profound impact on women's physical, psychosocial, and spiritual well-being. In many cases, women living with stroke may have marginalized palliative care needs that are often not adequately addressed by healthcare providers. Unfortunately, the experience of women with stroke and their specific palliative care needs have been largely overlooked in research conducted in Jordan. AIM: The purpose of this study is to examine the specific palliative care needs of women who have experienced a stroke and are currently living in Jordan. By conducting this research, we aim to identify the various physical, emotional, social, and spiritual needs of women with stroke and gain a better understanding of how these needs can be addressed through palliative care interventions. METHODS: This research utilized a phenomenological descriptive study approach to explore the experiences of twelve women recruited from the outpatient clinic of rehabilitation centers. The data was collected through semi-structured interviews. The analysis was conducted using the method of Colaizzi (1978), which involves identifying significant statements, extracting meanings, and formulating an exhaustive description of the phenomenon under study. RESULTS: The study findings uncovered three primary themes that reflect the palliative care needs of women who are currently living with stroke in Jordan, including (1) Spiritual practices, beliefs, and needs; (2) Coping with distressing symptoms; and (3) Managing the delivery of unfavorable news. DISCUSSION: This study provides valuable insights into the experiences of Jordanian women living with stroke, highlighting the far-reaching consequences of this condition on various aspects of their lives. The findings reveal that stroke has a significant impact on women's physical, emotional, social, and spiritual well-being, with many facing unmet palliative care needs. By illuminating these challenges, our study underscores the importance of taking a holistic approach to stroke care that addresses the multifaceted needs of women living with stroke. Healthcare providers must consider these findings and integrate palliative care interventions into treatment plans to improve the quality of life of women living with stroke in Jordan. CONCLUSION: This study provides valuable insights into the palliative care needs of women who have experienced a stroke. Our findings highlight the importance of addressing women's physical, psychosocial, and spiritual needs as part of a comprehensive approach to stroke care. We recommend integrating palliative care interventions into rehabilitation programs to improve the quality of life of women living with stroke in Jordan. By doing so, we can address the pain and complications that can arise from stroke, while also providing holistic support to address the emotional and spiritual impact of the illness. This approach has the potential to improve outcomes for women living with stroke and enhance their overall well-being.

Serious Games for Learning Among Older Adults With Cognitive Impairment: Systematic Review and Meta-analysis.

BACKGROUND: Learning disabilities are among the major cognitive impairments caused by aging. Among the interventions used to improve learning among older adults are serious games, which are participative electronic games designed for purposes other than entertainment. Although some systematic reviews have examined the effectiveness of serious games on learning, they are undermined by some limitations, such as focusing on older adults without cognitive impairments, focusing on particular types of serious games, and not considering the comparator type in the analysis. OBJECTIVE: This review aimed to evaluate the effectiveness of serious games on verbal and nonverbal learning among older adults with cognitive impairment. METHODS: Eight electronic databases were searched to retrieve studies relevant to this systematic review and meta-analysis. Furthermore, we went through the studies that cited the included studies and screened the reference lists of the included studies and relevant reviews. Two reviewers independently checked the eligibility of the identified studies, extracted data from the included studies, and appraised their risk of bias and the quality of the evidence. The results of the included studies were summarized using a narrative synthesis or meta-analysis, as appropriate. RESULTS: Of the 559 citations retrieved, 11 (2%) randomized controlled trials (RCTs) ultimately met all eligibility criteria for this review. A meta-analysis of 45% (5/11) of the RCTs revealed that serious games are effective in improving verbal learning among older adults with cognitive impairment in comparison with no or sham interventions (P=.04), and serious games do not have a different effect on verbal learning between patients with mild cognitive impairment and those with Alzheimer disease (P=.89). A meta-analysis of 18% (2/11) of the RCTs revealed that serious games are as effective as conventional exercises in promoting verbal learning (P=.98). We also found that serious games outperformed no or sham interventions (4/11, 36%; P=.03) and conventional cognitive training (2/11, 18%; P<.001) in enhancing nonverbal learning. CONCLUSIONS: Serious games have the potential to enhance verbal and nonverbal learning among older adults with cognitive impairment. However, our findings remain inconclusive because of the low quality of evidence, the small sample size in most of the meta-analyzed studies (6/8, 75%), and the paucity of studies included in the meta-analyses. Thus, until further convincing proof of their effectiveness is offered, serious games should be used to supplement current interventions for verbal and nonverbal learning rather than replace them entirely. Further studies are needed to compare serious games with conventional cognitive training and conventional exercises, as well as different types of serious games, different platforms, different intervention periods, and different follow-up periods. TRIAL REGISTRATION: PROSPERO CRD42022348849; https://tinyurl.com/y6yewwfa.

COVID-19 and Anemia: What Do We Know So Far?

On 11 March 2020, the World Health Organization (WHO) declared the novel SARS-CoV-2 virus responsible for causing COVID-19, a global pandemic. The virus primarily targets the respiratory system but can also affect other systems, notably causing hematological pathologies. Anemia, a common hematologic disorder, is characterized by the reduced oxygen-carrying capacity of red blood cells. The existing literature has a suspected link between anemia and severe COVID-19 cases. Researchers are currently investigating the long-term complications of COVID-19 in anemic patients, as these complications may play a crucial role in predicting patient prognosis. Anemic individuals are at a higher risk of experiencing severe COVID-19 infections due to several contributing pathophysiological mechanisms, including thrombotic, hemorrhagic, and autoimmune etiologies. The primary effect of these mechanisms is a decrease in circulating hemoglobin levels, reducing oxygen availability for cells. This exacerbates the hypoxia caused by COVID-19-induced acute respiratory distress syndrome (ARDS). This review offers a comprehensive overview of the evidence regarding the long-term complications of COVID-19 in anemic patients.

The association of patient safety culture with intent to leave among Jordanian nurses: a cross-sectional study.

BACKGROUND: The existence of patient safety culture is crucial for healthcare providers' retention, particularly for nurses. Patient safety culture is getting more attention from healthcare organizations worldwide, and Jordan is no exception. Nurses' satisfaction and retention are paramount to providing safe, high-quality patient care. PURPOSE: To investigate the relationship between patient safety culture and intent to leave among Jordanian nurses. METHODS: A descriptive cross-sectional design was used. A sample of 220 nurses was selected through convenience sampling from one governmental and one private hospital in Amman. The patient safety culture survey and anticipated turnover scale were used to collect data. Descriptive statistics and Pearson r correlation were used to answer the research questions. RESULTS: The findings showed that nurses had 49.2% positive scores for patient safety. Teamwork (65.3%) and handoff and exchange of information (62% each) had the highest scores, while staffing and workplace (38.1%) and response to error (26.6%) had the lowest. Moreover, nurses had strong intentions to leave their jobs (M = 3.98). A moderately significant but not highly negative relationship existed between patient safety culture and intent to leave (r = -0.32, p = 0.015). CONCLUSIONS: There are opportunities to improve patient safety culture, satisfaction, and nurse retention in Jordanian hospitals by implementing several recommendations, such as ensuring better staffing patterns and increasing staff motivation by utilizing various available methods.

Satisfaction and self-confidence among nursing students with simulation learning during COVID-19.

AIM: This survey aimed to investigate nursing students' satisfaction and self-confidence in simulation in education during the COVID-19 pandemic. Along with comparing these levels based on selected students' characteristics. DESIGN: A cross-sectional survey. METHODS: The survey was conducted at the faculty of nursing of a private university in Jordan. Students' satisfaction and self-confidence levels in simulation learning were measured using the National League for Nursing (NLN) Student Satisfaction and Self-confidence in Learning Scales. RESULTS: A total of 138 undergraduate nursing students participated in the survey. Students' satisfaction levels and self-confidence in simulation learning were lower (just above the scale's midpoint) than scores reported in similar surveys. The lowest student ratings were reported as "the variety of learning activities that can be done using simulation" and "the self-confidence to develop the needed skills and knowledge to be used in real clinical settings". The results also indicated that as students' progress in the bachelor's degree program, they develop higher levels of self-confidence in simulation-based learning. CONCLUSIONS: Nursing students' experience of simulation learning was observed to be negatively affected by the COVID-19 pandemic. High-fidelity simulation, in particular, among other simulation modalities, can be more beneficial in similar situations. Education stakeholders are invited to invest in the resources of high-fidelity simulation to maximize its benefits and help in the recovery phase after the pandemic.

The relationship between emotional intelligence and organizational commitment among nurses working in governmental hospitals in Jordan.

INTRODUCTION: Nurses' emotions and feelings in response to their environment and their ability to manage their emotions can significantly affect several aspects of their job. In Jordan, studies are still investigating whether emotional intelligence is significantly related to organizational commitment. AIM: To investigate whether a significant relationship exists between emotional intelligence and organizational commitment among Jordanian nurses working in governmental hospitals in Jordan. METHODS: The study used a descriptive cross-sectional correlational design. A convenience sampling method was used to recruit participants working in governmental hospitals. A total of 200 nurses participated in the study. A participant information sheet developed by the researcher was used to obtain the participants' socio-demographic characteristics, the Emotional Intelligence Scale (EIS) developed by Schutte and colleagues, and the Organizational Commitment Scale developed by Meyer and Allen were utilized for data collection. RESULTS: Participants had high levels of emotional intelligence (M, SD = 122.3, 14.0) and moderate levels of organizational commitment (M, SD = 81.6, 15.7). Emotional intelligence had a significant, positive relationship with organizational commitment (r = 0.53, p < 0.01). Male nurses, widowed nurses, and nurses with higher postgraduate qualifications demonstrated significantly higher levels of emotional intelligence and organizational commitment than female nurses, single nurses, and nurses with undergraduate degrees (p < 0.05). CONCLUSION: Participants in the current study were highly emotionally intelligent and moderately committed to their organizations. Policies supporting the implementation of interventions to improve organizational commitment and maintain a high level of emotional intelligence should be developed and promoted by nurse managers and hospital administrators, as well as decision-makers should magnet the nurses with postgraduate degrees at clinical sites.

Harnessing Artificial Intelligence: Strategies for Mental Health Nurses in Optimizing Psychiatric Patient Care.

This narrative review explores the transformative impact of Artificial Intelligence (AI) on mental health nursing, particularly in enhancing psychiatric patient care. AI technologies present new strategies for early detection, risk assessment, and improving treatment adherence in mental health. They also facilitate remote patient monitoring, bridge geographical gaps, and support clinical decision-making. The evolution of virtual mental health assistants and AI-enhanced therapeutic interventions are also discussed. These technological advancements reshape the nurse-patient interactions while ensuring personalized, efficient, and high-quality care. The review also addresses AI's ethical and responsible use in mental health nursing, emphasizing patient privacy, data security, and the balance between human interaction and AI tools. As AI applications in mental health care continue to evolve, this review encourages continued innovation while advocating for responsible implementation, thereby optimally leveraging the potential of AI in mental health nursing.

Leadership Practices as Perceived by Emergency Nurses During the COVID-19 Pandemic: The Role of Structural and Psychological Empowerment.

INTRODUCTION: To our knowledge, no studies have explored leadership practices in relation to structural and psychological empowerment among nurses during COVID-19. Therefore, the purpose of this study was to examine those relationships in Jordanian nurses working in emergency departments during the COVID-19 pandemic. METHODS: A descriptive, correlational cross-sectional design was used in this study. The participants were emergency nurses working at 3 large hospitals in Jordan. The participants were surveyed via an online questionnaire between September 2021 and January 2022. A total of 3 valid scales were included in the questionnaire to assess the nurses' clinical leadership practices in relation to perceived structural and psychological empowerment. RESULTS: A total of 193 emergency nurses were surveyed, of which 116 participants (60.1%) were male, and their average age was 29.64 (SD 4.74) years. Nurses had a moderate level of clinical leadership practices 12.50 (SD 1.65), moderate level of perceived structural empowerment 3.67 (SD 0.44), and a high-moderate level of perceived psychological empowerment 5.96 (SD 0.65). Clinical leadership practices were shown to have a significant positive relationship with structural (r = 0.65; P < .01) and psychological (r = 0.74; P < .01) empowerment. Predictors of clinical leadership practices of the Jordanian emergency nurses during COVID-19 were ranked in order of significance; structural and psychological empowerments were the highest significant predictors. However, patient to nurse ratio (>6 patients/nurse) was the lowest significant predictor. DISCUSSION: Although structural and psychological empowerments play a pivotal role in predicting the leadership practices of the emergency nurses in Jordan, the nurses should enhance their leadership style for better management and effective communication during critical situations such as pandemics.

COVID-19-associated neurological sequelae: A case series on cerebral microbleeds and encephalopathy.

BACKGROUND: Critical illness-associated cerebral microbleeds and leukoencephalopathy connected to coronavirus disease 2019 (COVID-19) infection are emerging areas of concern in current medical literature. METHODS: We reviewed cases of patients with COVID-19-associated neurological manifestations to study the prevalence and outcome of such conditions. Case Series Findings: Our review yielded seven distinct patients. Six exhibited cerebral microbleeds, primarily localized in the juxtacortical white matter and the corpus callosum. In contrast, one individual presented with leukoencephalopathy. Tragically, of these patients, five succumbed to their ailments. One was discharged with mild cognitive impairments, while another underwent a tracheostomy and was subsequently moved to a long-term care establishment. CONCLUSION: Our findings underscore the significance of neuro-radiological observations in those grappling with severe manifestations of COVID-19, drawing attention to the possible neurological repercussions of the virus.

Children's rates of COVID-19 vaccination as reported by parents, vaccine hesitancy, and determinants of COVID-19 vaccine uptake among children: a multi-country study from the Eastern Mediterranean Region.

BACKGROUND: Huge efforts are being made to control the spread and impacts of the coronavirus pandemic using vaccines. However, willingness to be vaccinated depends on factors beyond the availability of vaccines. The aim of this study was three-folded: to assess children's rates of COVID-19 Vaccination as reported by parents, to explore parents' attitudes towards children's COVID-19 vaccination, and to examine the factors associated with parents' hesitancy towards children's vaccination in several countries in the Eastern Mediterranean Region (EMR). METHODS: This study utilized a cross-sectional descriptive design. A sample of 3744 parents from eight countries, namely, Iraq, Jordan, Kuwait, Lebanon, Palestine, Qatar, Saudi Arabia (KSA), and the United Arab Emirates (UAE), was conveniently approached and surveyed using Google forms from November to December 2021. The participants have responded to a 42-item questionnaire pertaining to socio-demographics, children vaccination status, knowledge about COVID-19 vaccines, and attitudes towards vaccinating children and the vaccine itself. The Statistical Package for Social Sciences (SPSS- IBM, Chicago, IL, USA) was used to analyze the data. A cross-tabulation analysis using the chi-square test was employed to assess significant differences between categorical variables and a backward Wald stepwise binary logistic regression analysis was performed to assess the independent effect of each factor after controlling for potential confounders. RESULTS: The prevalence of vaccinated children against COVID-19 was 32% as reported by the parents. Concerning parents' attitudes towards vaccines safety, about one third of participants (32.5%) believe that all vaccines are not safe. In the regression analysis, children's vaccination was significantly correlated with parents' age, education, occupation, parents' previous COVID-19 infection, and their vaccination status. Participants aged ≥50 years and those aged 40-50 years had an odds ratio of 17.9 (OR = 17.9, CI: 11.16-28.97) and 13.2 (OR = 13.2, CI: 8.42-20.88); respectively, for vaccinating their children compared to those aged 18-29 years. Parents who had COVID-19 vaccine were about five folds more likely to vaccinate their children compared with parents who did not receive the vaccine (OR = 4.9, CI: 3.12-7.70). The prevalence of children's vaccination in the participating Arab countries is still not promising. CONCLUSION: To encourage parents, vaccinate their children against COVID-19, Arab governments should strategize accordingly. Reassurance of the efficacy and effectiveness of the vaccine should target the general population using educational campaigns, social media, and official TV and radio channels.