Mosaab Esmail Mohammad Farajallah

@paluniv.edu.ps

School of Nursing, Palistine Ahliya University.
Palistine Ahliya University

Mosaab Esmail Mohammad Farajallah


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https://researchid.co/musaabfarajallah
Mosaab Farajallah, M.Sc. in Critical Care Nursing, Ph.D. Student at University of Granada, Sp.

EDUCATION

1. Ph.D. Student (2026-2028)
University of Granada, Spain


2. MS.c. in Critical Care Nursing (2022-2024)
Palestine Ahliya University (PAU), Bethlehem, Palestine


3. BS.c. in Nursing (2017-2021)
Arab American University Palestine (AAUP), Jenin, Palestine

RESEARCH, TEACHING, or OTHER INTERESTS

Nursing, Critical Care Nursing, Research and Theory, Advanced and Specialized Nursing
10

Scopus Publications

122

Scholar Citations

4

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Predictive Accuracy of FOUR Score Vs. Glasgow Coma Scale in ICU Neurological Patients
    Ahmed Batran, Ahmad Batran, Ibrahim Aqtam, Ahmad Ayed, Moath Abu Ejheisheh, et al.
    Critical Care Nursing Quarterly, 2026
    Introduction: Neurological assessments are vital in managing critically ill patients, with tools like the Glasgow Coma Scale (GCS) and Full Outline of Unresponsiveness (FOUR) score aiding decision-making and predicting outcomes. This study compared the predictive accuracy of the GCS and FOUR scores for mortality in ICU patients with neurological disorders across eight hospitals in the South West Bank with a total of 76 ICU beds. Methods: A prospective cross-sectional study included 243 ICU patients. GCS and FOUR scores were recorded at admission, 48 hours, and discharge. Predictive accuracy for mortality was assessed using ROC curves and AUC values, alongside sensitivity and specificity evaluations. Results: The FOUR score outperformed the GCS, especially in intubated or sedated patients, with an AUC of 0.821 (95% CI: 0.766–0.876) versus 0.729 (95% CI: 0.666–0.739). The FOUR score achieved 100% sensitivity and specificity at admission and after 48 hours, while the GCS showed moderate sensitivity (74.6%) and specificity (50.0%). Both scales demonstrated high sensitivity at discharge, with the FOUR score maintaining superior accuracy. Discussion: The FOUR score offers enhanced neurological assessment, particularly in resource-limited settings, outperforming the GCS in intubated or sedated patients. Its adoption in ICUs could improve patient outcomes by enabling more precise and timely evaluations.
  • Assessing knowledge, attitudes, and skills toward evidence-based practice among Palestinian nursing students
    Moath Abu Ejheisheh, Ahmad Ayed, Ibrahim Aqtam, Ahmad Batran, Mosaab Farajallah
    BMC Nursing, 2025
  • The Relationship Between Emotional Intelligence and Caring Behaviors Among Palestinian Nurses in Neonatal Intensive Care Units: A Cross-Sectional Study
    Ahmad Ayed, Malakeh Z. Malak, Moath Abu Ejheisheh, Ahmad Batran, Mosaab Farajallah, et al.
    International Nursing Review, 2025
    AimThis study examined the relationship between emotional intelligence and caring behaviors among Palestinian Neonatal Intensive Care Unit (NICU) nurses in governmental hospitals across the West Bank.BackgroundThe NICU is a high‐stress environment that presents significant challenges for nurses. Emotional intelligence has a significant role in helping nurses manage environmental stressors and influences the quality of their caring behaviors.MethodsA cross‐sectional design was employed in line with the STROBE guidelines, using a convenience sample of 208 nurses working in level II and III NICUs. Data were collected between January 5 and March 10, 2025, using paper‐based surveys that included the Schutte Self‐Report Emotional Intelligence Test (SSEIT) and the Caring Behaviors Assessment Tool Nursing Version–Short Form (CBAN‐SF).ResultsParticipants had a relatively high emotional intelligence level, with a mean score of 117.5 (SD ± 11.4). Similarly, the mean caring behaviors score was 98.8 (SD ± 10.1), suggesting strong satisfaction with caring behaviors. A strong positive correlation was found between emotional intelligence and caring behaviors. Age, work experience, and educational level were also associated with caring behaviors. Emotional intelligence and educational level were significant predictors.ConclusionNICU nurses are adequately equipped to deliver empathetic, high‐quality care in challenging clinical environments.Implications for Nursing and/or Health PolicyThese findings underscore the need for policymakers and hospital administrators to prioritize continuous professional development and the regular assessment of emotional intelligence
  • Nurses’ knowledge, attitudes, and decision-making related to sepsis assessment and management in Palestinian intensive care units
    Hatem Khallaf, Moath Abu Ejheisheh, Malakeh. Z. Malak, Anas Shehadeh, Ahmad Ayed, et al.
    BMC Nursing, 2025
  • Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units
    Ahmad Ayed, Ahmad Batran, Ibrahim Aqtam, Malakeh Z. Malak, Moath Abu Ejheisheh, et al.
    BMC Nursing, 2025
    Introduction Artificial Intelligence (AI) comprises computational algorithms designed to analyze data, learn patterns, and execute tasks traditionally requiring human cognition. These models can support public health initiatives, expedite clinical care, and improve diagnosis accuracy. Thus, artificial intelligence in healthcare sectors has the potential to enhance nursing care by assisting nurses with tasks like documentation, workflow improvement, and decision-making, while reducing workforce stress. This study, guided by the Technology Acceptance Model (TAM), assesses perceived worries regarding AI adoption among nurses in neonatal intensive care units (NICUs). Methods A cross-sectional quantitative design was employed using convenience sampling. Data were collected using the Worries of Applying AI in Healthcare Questionnaire (WAAI-HCQ) from 227 NICU nurses across nine hospitals in the West Bank (January 2–March 3, 2025). SPSS version 26 was used for analysis. Results Participants demonstrated intermediate levels of AI awareness (M = 2.7, SD = 0.5) and limited prior AI experience (M = 2.3, SD = 0.5). Total AI-related worries were moderate (M = 3.2, SD = 0.9), with healthcare provider-related concerns being highest. Multiple linear regression (R² = 0.846) identified education level (B = 0.074, p = 0.026), AI awareness (B = 2.006, p < 0.001), and AI experience (B = -0.959, p < 0.001) as significant predictors, explaining 84.6% of the variance in AI-related worries. Conclusions NICU nurses in Palestine exhibit moderate AI awareness and concerns, highlighting the need for targeted education and training to address knowledge gaps and facilitate AI integration. This study contributes new knowledge specifically for conflict-affected, resource-constrained NICU settings, where AI implementation faces unique challenges. Clinical trial number Not applicable.
  • Insights into the relationship between anxiety and attitudes toward artificial intelligence among nursing students
    Ahmad Ayed, Moath Abu Ejheisheh, Rasmieh Al-Amer, Ibrahim Aqtam, Amira Mohammed Ali, et al.
    BMC Nursing, 2025
    Background Artificial Intelligence (AI) integration in healthcare education represents a critical technological advancement that requires careful examination of student preparedness and acceptance. In the Palestinian context, limited research exists on nursing students’ psychological responses to AI implementation, despite growing global emphasis on AI competency in healthcare professions. Understanding the relationship between anxiety and attitudes toward AI is essential for developing effective educational strategies that can facilitate successful technology adoption while addressing cultural and contextual barriers specific to the Palestinian healthcare education environment. Introduction Artificial Intelligence (AI) integration in nursing education remains underexplored in the Palestinian context, where limited research addresses students’ anxiety and attitudes toward AI. This study examines this relationship to fill a critical gap and inform culturally relevant strategies for AI adoption in healthcare education. Methods A cross-sectional study was conducted among 264 nursing students at Palestine Ahliya University (2024–2025). Validated scales (AI Anxiety Scale, SATAI) assessed anxiety and attitudes. We analyzed data via correlation and regression using SPSS v26. Results High AI anxiety (mean = 80.3, SD = 9.4) contrasted with positive attitudes (mean = 114.3, SD = 12.8). Regression identified attitude as the strongest predictor of anxiety (B = 5.171, p < .001), alongside younger age, female gender, and non-use of AI. Academic year and AI education showed no significant effects. Conclusion Negative attitudes and limited AI exposure drive anxiety, particularly among younger females and non-users. To mitigate this, we recommend integrating AI literacy modules into curricula, fostering hands-on AI experiences, and designing gender-sensitive training. These findings emphasize the urgency of addressing sociocultural and educational barriers to AI readiness in Palestinian nursing education. Clinical trial number Not applicable.
  • Influence of Cultural Sensitivity on Self-Esteem of Palestinian Nurses in Neonatal Intensive Care Units
    Ahmad Ayed, Moath Abu Ejheisheh, Ibrahim Aqtam, Bahaa Alassoud, Ahmad Batran, et al.
    Journal of Transcultural Nursing, 2025
    Introduction: The relationship between cultural sensitivity and self-esteem among nurses in neonatal intensive care units is critical to job satisfaction and patient care quality. Methods: A cross-sectional study was conducted from February to March 2024 on 223 nurses in neonatal intensive care units. Data were collected using Intercultural Sensitivity Scale and the Rosenberg Self-Esteem Scale. Results: The study found that nurses had a moderate level of cultural sensitivity ( M = 78.3, SD = 9.4) and self-esteem ( M = 24.8, SD = 1.0). A weak positive correlation was observed between cultural sensitivity and self-esteem ( r = .26, p < .01). In addition, cultural sensitivity was found as a predictor of self-esteem ( p < .05). Discussion: Findings highlight the positive relationship between cultural sensitivity and self-esteem among NICU nurses, suggesting that enhancing cultural sensitivity could improve self-esteem and job satisfaction.
  • Use of Capnography During Resuscitation of Patients in Intensive Care Units
    Mosaab Farajallah, Ahmad Ayed, Ahmad Batran, Moath Abu Ejheisheh, Bahaa Alassoud, et al.
    Sage Open Nursing, 2025
    Introduction Cardiac arrest is a serious threat to patients in intensive care units (ICUs), posing a significant risk that can lead to a patient's death if not treated promptly. The utilization of capnography to improve outcomes for patients with cardiac arrest has received substantial attention in research. Purpose The purpose of this study was to assess ICU nurses’ knowledge and perceptions of capnography use specifically during cardiac arrest resuscitation in South West Bank Hospitals. Methods A cross-sectional descriptive approach was used, employing a questionnaire for data collection. Data were collected from January 15, 2024, to March 15, 2024. The sample of the study consists of 155 nurses working in ICUs in South West Bank hospitals. Results The results of the study revealed that most participants ( N = 106, 68.4%) had low knowledge of capnography, with a mean knowledge score of 52.9 ± 15.3. The results also showed that the participants’ perception of capnography use was fair in N = 60 (38.7%) and poor in N = 59 (38.1% ) . Furthermore, the results revealed that there were no significant differences in capnography knowledge based on selected demographic and professional characteristics of nurses (p > 0.05), indicating consistent knowledge gaps across experience levels. Conclusion The study confirmed that ICU nurses had fair and poor perceptions toward capnography use during cardiac arrest resuscitation. This highlights the need for targeted education to improve bedside capnography assessment skills among ICU nurses. Recommendations for enhancing capnography training and further research were presented.
  • Insights Into Perceived Worries Regarding the Adoption of Artificial Intelligence Among Intensive Care Unit Nurses in the West Bank
    Ahmad Batran, Ahmad Ayed, Ibrahim Aqtam, Rasmieh AL-AMER, Elham H. Othman, et al.
    Sage Open Nursing, 2025
    Background The integration of artificial intelligence (AI) into healthcare is advancing rapidly, yet little is known about how ICU nurses perceive this shift, particularly in low-resource settings. Objectives This study aimed to examine ICU nurses’ perceived concerns regarding AI adoption, focusing on awareness, prior experience, and levels of worry related to AI integration. Methods A cross-sectional survey was conducted among 235 ICU nurses from nine hospitals in the West Bank. Data were collected using the Worries of Applying Artificial Intelligence in Healthcare Questionnaire (WAAI-HCQ). Descriptive statistics and regression analyses were performed using SPSS. Results Nurses demonstrated moderate AI awareness (M = 2.6, SD = 0.5) and limited prior experience (mean = 2.3, SD = 0.5). The overall worry regarding AI was moderate (M = 3.2, SD = 0.9), with the greatest concerns centered on its impact on healthcare providers (M = 3.3, SD = 1.0) and the least on regulatory and ethical issues (M = 2.9, SD = 0.7). Regression analysis revealed that AI awareness significantly predicted higher worry levels (B = 2.007, p < .001), while prior experience with AI predicted reduced worry (B = −0.952, p < .001). The findings suggest that greater AI awareness without practical experience may lead to increased apprehension, while hands-on exposure reduces anxiety and builds confidence. Conclusions While ICU nurses recognized the potential benefits of AI, concerns about job displacement, depersonalization of care, and workflow disruption were prevalent. These findings underscore the need for targeted AI education, practical training, and supportive policies that address ethical and workforce-related implications. Context-specific strategies are essential to enhance nurses’ readiness and confidence in adopting AI technologies in critical care settings.
  • The Relationship Between Professional Quality of Life and Work Environment Among Nurses in Intensive Care Units
    Ahmad Ayed, Moath Abu Ejheisheh, Ibrahim Aqtam, Ahmad Batran, Mosaab Farajallah
    Inquiry United States, 2024
    Nurses in intensive care units (ICUs) face high levels of stress and emotional challenges, making it essential to understand the factors that influence their professional quality of life (ProQoL). This study aimed to investigate the relationship between work environment factors and ProQoL, particularly focusing on burnout, compassion satisfaction, and secondary traumatic stress, among ICU nurses. The Professional Quality of Life (ProQoL) Scale was used to measure these aspects, with an emphasis on the importance of a supportive work environment for enhancing staff well-being and organizational performance. This cross-sectional study was conducted between March and August 2024, involving 162 ICU nurses from hospitals in the southern West Bank. A stratified random sampling method was employed to ensure representativeness. Data collection involved surveys covering socio-demographic information, the Practice Environment Scale-Nursing Work Index (PES-NWI), and the ProQoL scale. Statistical analyses, including descriptive statistics and Pearson correlation, were performed using SPSS. The participants were predominantly young, with 61.7% less than 30 years old, and 65.4% were male. Most held a bachelor’s degree (54.9%). The survey indicated that the majority reported average levels of compassion satisfaction (90.7%), burnout (91.4%), and secondary traumatic stress (85.2%). The analysis showed that a moderately positive practice environment was significantly associated with lower levels of burnout and higher levels of compassion satisfaction. Additionally, there was a significant difference in mean Compassion Satisfaction scores according to sleep hours ( F = 5.475, P < .05). Nurses who slept more than 8 h had significantly higher Compassion Satisfaction compared to those who slept less than 8 h or exactly 8 h ( P < .05). ICU nurses generally perceived their work environment positively, though there are opportunities to improve their professional quality of life, particularly by addressing burnout. The findings highlight the need for targeted interventions and further research to enhance job satisfaction and well-being among ICU nurses.

RECENT SCHOLAR PUBLICATIONS

  • Predictive Accuracy of FOUR Score Vs. Glasgow Coma Scale in ICU Neurological Patients: A Comparative Study in the South West Bank Hospitals
    A Batran, A Batran, I Aqtam, A Ayed, MA Ejheisheh, B Alassoud, ...
    Critical Care Nursing Quarterly. 49 (1), 14-22 , 2026
    2026
  • The Relationship Between Emotional Intelligence and Caring Behaviors Among Palestinian Nurses in Neonatal Intensive Care Units: A Cross‐Sectional Study
    A Ayed, MZ Malak, MA Ejheisheh, A Batran, M Farajallah, P Handal
    International Nursing Review 72 (4), e70116 , 2025
    2025
    Citations: 2
  • Insights Into Perceived Worries Regarding the Adoption of Artificial Intelligence Among Intensive Care Unit Nurses in the West Bank
    A Batran, A Ayed, I Aqtam, R Al-Amer, EH Othman, MA Ejheisheh, ...
    SAGE Open Nursing 11, 23779608251376177 , 2025
    2025
    Citations: 4
  • Insights into the relationship between anxiety and attitudes toward artificial intelligence among nursing students
    A Ayed, MA Ejheisheh, R Al-Amer, I Aqtam, AM Ali, EH Othman, ...
    BMC nursing 24 (1), 812 , 2025
    2025
    Citations: 27
  • Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units
    A Ayed, A Batran, I Aqtam, MZ Malak, MA Ejheisheh, M Farajallah, ...
    BMC nursing 24 (1), 777 , 2025
    2025
    Citations: 16
  • Nurses’ knowledge, attitudes, and decision-making related to sepsis assessment and management in Palestinian intensive care units
    H Khallaf, MA Ejheisheh, MZ Malak, A Shehadeh, A Ayed, A Batran, ...
    BMC nursing 24 (1), 779 , 2025
    2025
    Citations: 3
  • Influence of Cultural Sensitivity on Self-Esteem of Palestinian Nurses in Neonatal Intensive Care Units
    A Ayed, M Abu Ejheisheh, I Aqtam, B Alassoud, A Batran, M Farajallah
    Journal of Transcultural Nursing, 10436596251344739 , 2025
    2025
    Citations: 4
  • Use of Capnography During Resuscitation of Patients in Intensive Care Units
    M Farajallah, A Ayed, A Batran, MA Ejheisheh, B Alassoud, BM Hammad, ...
    SAGE Open Nursing 11, 23779608251347686 , 2025
    2025
  • Assessing knowledge, attitudes, and skills toward evidence-based practice among Palestinian nursing students
    MA Ejheisheh, A Ayed, I Aqtam, A Batran, M Farajallah
    BMC nursing 24 (1), 282 , 2025
    2025
    Citations: 19
  • The Relationship Between Professional Quality of Life and Work Environment Among Nurses in Intensive Care Units
    A Ayed, MA Ejheisheh, I Aqtam, A Batran, M Farajallah
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing … , 2024
    2024
    Citations: 47

MOST CITED SCHOLAR PUBLICATIONS

  • The Relationship Between Professional Quality of Life and Work Environment Among Nurses in Intensive Care Units
    A Ayed, MA Ejheisheh, I Aqtam, A Batran, M Farajallah
    INQUIRY: The Journal of Health Care Organization, Provision, and Financing … , 2024
    2024
    Citations: 47
  • Insights into the relationship between anxiety and attitudes toward artificial intelligence among nursing students
    A Ayed, MA Ejheisheh, R Al-Amer, I Aqtam, AM Ali, EH Othman, ...
    BMC nursing 24 (1), 812 , 2025
    2025
    Citations: 27
  • Assessing knowledge, attitudes, and skills toward evidence-based practice among Palestinian nursing students
    MA Ejheisheh, A Ayed, I Aqtam, A Batran, M Farajallah
    BMC nursing 24 (1), 282 , 2025
    2025
    Citations: 19
  • Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units
    A Ayed, A Batran, I Aqtam, MZ Malak, MA Ejheisheh, M Farajallah, ...
    BMC nursing 24 (1), 777 , 2025
    2025
    Citations: 16
  • Insights Into Perceived Worries Regarding the Adoption of Artificial Intelligence Among Intensive Care Unit Nurses in the West Bank
    A Batran, A Ayed, I Aqtam, R Al-Amer, EH Othman, MA Ejheisheh, ...
    SAGE Open Nursing 11, 23779608251376177 , 2025
    2025
    Citations: 4
  • Influence of Cultural Sensitivity on Self-Esteem of Palestinian Nurses in Neonatal Intensive Care Units
    A Ayed, M Abu Ejheisheh, I Aqtam, B Alassoud, A Batran, M Farajallah
    Journal of Transcultural Nursing, 10436596251344739 , 2025
    2025
    Citations: 4
  • Nurses’ knowledge, attitudes, and decision-making related to sepsis assessment and management in Palestinian intensive care units
    H Khallaf, MA Ejheisheh, MZ Malak, A Shehadeh, A Ayed, A Batran, ...
    BMC nursing 24 (1), 779 , 2025
    2025
    Citations: 3
  • The Relationship Between Emotional Intelligence and Caring Behaviors Among Palestinian Nurses in Neonatal Intensive Care Units: A Cross‐Sectional Study
    A Ayed, MZ Malak, MA Ejheisheh, A Batran, M Farajallah, P Handal
    International Nursing Review 72 (4), e70116 , 2025
    2025
    Citations: 2
  • Predictive Accuracy of FOUR Score Vs. Glasgow Coma Scale in ICU Neurological Patients: A Comparative Study in the South West Bank Hospitals
    A Batran, A Batran, I Aqtam, A Ayed, MA Ejheisheh, B Alassoud, ...
    Critical Care Nursing Quarterly. 49 (1), 14-22 , 2026
    2026
  • Use of Capnography During Resuscitation of Patients in Intensive Care Units
    M Farajallah, A Ayed, A Batran, MA Ejheisheh, B Alassoud, BM Hammad, ...
    SAGE Open Nursing 11, 23779608251347686 , 2025
    2025