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118 result(s) for "Shaban, Mostafa"
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Effect of digital based nursing intervention on knowledge of self-care behaviors and self-efficacy of adult clients with diabetes
Background In recent years, there has been growing interest in the use of Digital Based Nursing Intervention to support diabetes management. This study aimed to evaluate the effect of digital based nursing intervention on knowledge of self-care behaviors and self-efficacy of clients with diabetes. Methods Employing a quasi-experimental design, a sample of 120 adult participants diagnosed with type 2 diabetes, aged more than 18 years with focus on older adults was drawn from outpatient clinics at Cairo University Hospital. The intervention was approved and registered by the ethical committee of the faculty of nursing with IRB number: RHDIRB2019041701. The intervention group ( n  = 60) received a digital-based nursing intervention, while the control group ( n  = 60) received standard care. Data were collected using adopted standardized tools including the Diabetes Knowledge Test, the Diabetes Self-Efficacy Scale, and the Summary of Diabetes Self-Care Activities. Demographic characteristics were analyzed, and pre- and post-intervention scores were compared using paired t-tests were statistical methods. Results The digital-based nursing intervention resulted in significant enhancements in participants with diabetes knowledge and self-efficacy levels. Moreover, the intervention group demonstrated marked improvements in various self-care behaviors encompassing diet, exercise, medication adherence, blood glucose testing, and foot care. While the control group also exhibited some progress, the effects were less pronounced. Regression analyses highlighted age as a consistent factor associated with knowledge, self-efficacy, and specific self-care behaviors. Conclusion This study underscores the potential of tailored digital nursing interventions to complement traditional care approaches, empowering patients with type 2 diabetes to actively engage in self-management. The findings suggest that digital-based nursing interventions hold promise for enhancing patient knowledge, confidence, and proactive health behaviors. Nevertheless, limitations, including the relatively short intervention duration and a sample from a single clinic, warrant consideration. Future research should address these limitations to bolster the validity and applicability of the study’s conclusions.
Navigating end-of-life decision-making in nursing: a systematic review of ethical challenges and palliative care practices
Objectives This systematic review aimed to synthesize evidence on the ethical dilemma’s nurses encounter in end-of-life care and effective palliative care practices. The objectives were to understand key ethical issues, evaluate communication and decision-making strategies, and identify approaches to support nurses and patients. Methods A comprehensive search of major databases was conducted according to the PRISMA guidelines. Studies directly relating to nursing ethics, challenges in end-of-life decision-making, and palliative care practices were included. The risk of bias was assessed using ROBVIS-II. Data on ethical issues, palliative interventions, and outcomes was extracted and analyzed thematically. Results 22 studies met the inclusion criteria. Key themes that emerged were: (1) Effective communication and involving patients in decision-making are essential but complex. (2) Nurses face dilemmas around balancing autonomy, beneficence and relational issues. (3) Integrating palliative care principles enhances symptom management and aligns care with patient values. (4) Education and organizational support are needed to equip nurses with skills and coping strategies. Conclusion Navigating end-of-life care requires addressing interconnected ethical, communication and support needs. While studies provided insights, further research is required on cultural competence training, standardized education programs and longitudinal evaluations.
Exploring nurses’ awareness and attitudes toward artificial intelligence: Implications for nursing practice
Introduction Worldwide, healthcare systems aim to achieve the best possible quality of care at an affordable cost while ensuring broad access for all populations. The use of artificial intelligence (AI) in healthcare holds promise to address these challenges through the integration of real-world data-driven insights into patient care processes. This study aims to assess nurses’ awareness and attitudes toward AI-integrated tools used in clinical practice. Methods A descriptive cross-sectional design captured nurses’ responses at three governmental hospitals in Saudi Arabia by using an online questionnaire administered over 4 months. The study involved 220 registered nurses with a minimum of one year of clinical experience, selected through a convenience sampling method. The online survey consisted of three sections: demographic information, an assessment of nurses’ AI knowledge, and the general attitudes toward the AI scale. Results Nurses displayed “moderate” levels of awareness toward AI technology, with 70.9% having basic information about AI and only 58.2% (128 nurses) were considered “aware” of AI as they dealt with one of its healthcare applications. Nurses expressed openness to AI integration (M = 3.51) on one side, but also had some concerns about AI. Nurses expressed conservative attitudes toward AI, with significant differences observed based on gender (χ² = 4.67, p < 0.05). Female nurses exhibited a higher proportion of negative attitudes compared to male nurses. Significant differences were also found based on age (χ² = 9.31, p < 0.05), with younger nurses demonstrating more positive attitudes toward AI compared to their older counterparts. Educational background yields significant differences (χ² = 6.70, p < 0.05), with nurses holding undergraduate degrees exhibiting the highest positive attitudes. However, years of nursing experience did not reveal significant variations in attitudes. Conclusion Healthcare and nursing administrators need to work on increasing the nurses’ awareness of AI applications and emphasize the importance of integrating such technology into the systems in use. Moreover, addressing nurses’ concerns about AI's control and discomfort is crucial, especially considering generational differences, with younger nurses often having more positive attitudes toward technology. Change management strategies may help overcome any hindrances.
Exploring the nurse-patient relationship in caring for the health priorities of older adults: qualitative study
Background Person-centered care (PCC) is critical in addressing the diverse health priorities of older adults. Nurses play a pivotal role in implementing PCC, yet the nuances of the nurse-patient relationship in outpatient settings remain underexplored. This study aimed to gain insights into nurses’ experiences, challenges, and strategies in caring for older adults through the lens of PCC. Methods A qualitative descriptive design was employed, involving semi-structured interviews with 12 registered nurses from outpatient clinics serving older adults. Thematic analysis was conducted following the principles of trustworthiness and credibility. Results Five main themes emerged: (1)Understanding and Implementing Person-Centered Care (PCC) (2) Experiences in Older Adult Care, highlighting the significance of trust-building, adapting care approaches, interdisciplinary collaboration, and emotional rewards; (3) Challenges in Care Delivery, including resource constraints, navigating family dynamics, keeping up with medical advances, and emotional strain; (4) Impact on Care Quality, encompassing consistency in care, patient satisfaction, professional development, and ethical considerations; and (5) Coping Strategies, such as peer support, work-life balance, reflective practice, and resilience building. Conclusions The study underscores the complexities and rewards of the nurse-patient relationship in caring for older adults in outpatient settings. Nurses face formidable challenges but employ various coping strategies to maintain high-quality, person-centered care. Findings have implications for nursing practice, education, policy, and future research, emphasizing the need for supportive environments, continuous professional development, and recognition of the critical role nurses play in addressing the health priorities of the aging population.
Empowering breast cancer clients through AI chatbots: transforming knowledge and attitudes for enhanced nursing care
Background Breast cancer remains a leading cause of morbidity worldwide, necessitating innovative and accessible interventions that address both clinical and psychosocial needs. AI-powered chatbots are increasingly used in health education due to their 24/7 availability, personalization, and interactivity. However, empirical evidence on their effectiveness in enhancing knowledge, empowerment, and attitudes in oncology settings remains limited. Aim This randomized controlled trial (RCT) evaluated the impact of an AI chatbot intervention on knowledge, empowerment, and attitudes toward AI among breast cancer patients. Methods A two-arm, pre–post RCT was conducted with 122 women diagnosed with breast cancer at Kafr El-Sheikh University Hospital. Participants were randomly assigned to an intervention group ( n  = 61) receiving structured AI chatbot-based education plus standard care, or a control group ( n  = 61) receiving standard care alone. Data were collected using validated questionnaires assessing breast cancer and AI knowledge, attitudes toward AI, and perceived empowerment. G*Power analysis determined sample adequacy for between-group comparisons. Results Post-intervention, the intervention group showed significantly higher knowledge (20.3 ± 2.1 vs. 17.9 ± 3.4, p  <.001) and more positive attitudes (82.4 ± 7.2 vs. 72.6 ± 8.9, p  <.001) compared to controls. Logistic regression indicated that knowledge gain and higher education predicted a positive AI attitude. Path analysis revealed both direct and mediated effects of knowledge on attitude via empowerment. Usage data and chatbot session logs supported high engagement. Conclusion Integrating AI chatbots into oncology nursing care significantly enhances knowledge, empowerment, and AI acceptance. These findings support chatbot integration in patient-centered digital health strategies, particularly in oncology. Clinical trial number Not applicable. Trial registration NCT06943911 (retrospectively registered on 24/4/2025).
Nurse managers’ managerial innovation and it’s relation to proactivity behavior and locus of control among intensive care nurses
Background The nursing profession is undergoing rapid transformation, requiring innovation in management approaches and proactive behaviors among staff. Nurse Managers play a vital role through managerial innovation, but its impacts on intensive care nurses’ proactivity and locus of control remain underexplored. Objectives This study aimed to assess the levels of Nurse Managers’ managerial innovation and relate it to proactivity behaviors and locus of control orientations among intensive care nurses. Methods A cross-sectional correlational design was adopted, recruiting 242 intensive care nurses from Tanta University Hospital, Egypt. Participants completed standardized questionnaires measuring perceived managerial innovation, proactivity behavior, and locus of control. Results Nurse Managers demonstrated moderately high innovation across all dimensions, especially in continuous learning and development (mean = 4.65) and advanced technology use (mean = 4.56). Nurses exhibited sound proactivity levels, particularly in adaptability (mean = 4.40) and planning (mean = 4.35). The majority of nurses showed an internal locus of control (64.5%). Managerial innovation had significant positive correlations with nurses’ proactivity ( r  = 0.45, p  < 0.001) and internal locus of control ( r  = 0.42, p  < 0.001). Regression analysis revealed age, gender, experience, education, and ICU type as significant predictors of proactivity and locus of control. Conclusion Innovative nursing leadership positively influences staff’s proactivity levels and perceived control over their practice. This underscores the vital role of nurse managers in creating empowering environments in intensive care.
Exploring the Link between Maternal Hematological Disorders during Pregnancy and Neurological Development in Newborns: Mixed Cohort Study
Maternal hematological disorders during pregnancy may pose a risk to the neurological development of newborns. To investigate the association between maternal hematological disorders during pregnancy and neurological outcomes in newborns, this mixed cohort study was conducted on 200 pregnant women diagnosed with hematological disorders during pregnancy. Some cases have been identified in the past who have completed the pregnancy in full, as well as cases in pregnancy. Currently, the children of all mothers have been followed up to evaluate the neurological outcomes of the children at the age of three months. Logistic regression analysis was used to determine the association between maternal hematological disorders and neurological outcomes in newborns. Children born to mothers with hematological disorders had a higher risk of developmental delays (OR = 1.50, 95% CI = 0.90–2.50), cognitive impairments (OR = 1.80, 95% CI = 1.20–2.70), and motor impairments (OR = 1.60, 95% CI = 1.00–2.50) compared to children born to mothers without hematological disorders. Hemophilia was associated with the highest risk of neurological outcomes (developmental delay: OR = 2.80, 95% CI = 1.60–4.90; cognitive impairment: OR = 3.20, 95% CI = 2.00–5.10; motor impairment: OR = 2.60, 95% CI = 1.50–4.60). Conclusion: Our study suggests that maternal hematological disorders during pregnancy may increase the risk of negative neurological consequences in newborns. Further research is needed to identify potential mechanisms and explore preventive measures.
Barriers and facilitators to effective pain management in elderly Arab patients: a nursing perspective through a qualitative study
Background Effective pain management in elderly patients is crucial for quality of life, yet cultural and institutional factors can significantly impact care delivery, particularly in Arab healthcare settings. Aim To explore the barriers and facilitators to effective pain management in elderly Arab patients from the perspective of nurses. Methods A qualitative descriptive study was conducted with 12 registered nurses from various departments at Tanta University Hospitals, Egypt. Data were collected through semi-structured interviews, observations, and document analysis. Content analysis was used to identify themes and subthemes. Results Five main themes emerged: (1) Cultural Barriers to Pain Expression, including stoicism and religious beliefs; (2) Institutional Barriers to Pain Management, such as resource limitations and time constraints; (3) Facilitators to Effective Pain Management, including family support and nurse adaptability; (4) Interdisciplinary Collaboration, emphasizing teamwork and education; and (5) Emotional and Professional Rewards for nurses. Cultural factors often led to underreporting of pain, while institutional constraints hindered thorough assessments. Nurse adaptability and family support, when present, facilitated better pain management. Conclusion The study reveals complex interplay between cultural, institutional, and professional factors influencing pain management in elderly Arab patients. Findings suggest the need for culturally sensitive pain assessment tools, enhanced nurse education in pain management, and policies promoting family-centered care and interdisciplinary collaboration. Implications Results can inform the development of culturally appropriate pain management strategies and policies in Arab healthcare settings, potentially improving care quality for elderly patients.
Advancing sustainable healthcare: a concept analysis of eco-conscious nursing practices
Background As the healthcare sector grapples with its environmental footprint, the concept of Eco-conscious Nursing emerges as a pivotal framework for integrating sustainability into nursing practice. This study aims to clarify and operationalize Eco-conscious Nursing, examining its attributes, antecedents, consequences, and providing operational definitions to guide future research and practice. Methods Utilizing a systematic literature review across PubMed, Google Scholar, and CINAHL Ultimate, this study identifies and analyzes existing theories, frameworks, and practices related to eco-conscious nursing. Through conceptual analysis, key attributes, antecedents, and consequences of Eco-conscious Nursing are delineated, leading to the formulation of comprehensive operational definitions. Results The study reveals Eco-conscious Nursing as a multifaceted concept characterized by environmental stewardship, sustainable healthcare practices, and a commitment to reducing the ecological impact of nursing care. Operational definitions highlight the role of education, awareness, and institutional support as antecedents, with improved environmental health and sustainable healthcare outcomes as key consequences. Conclusion Eco-conscious Nursing represents a crucial ethos for the nursing profession, emphasizing the necessity of sustainable practices within healthcare. The operational definitions provided serve as a foundation for embedding eco-conscious principles into nursing, addressing the urgent need for sustainability in healthcare settings. Future research should focus on the empirical application of these definitions and explore the economic and cross-cultural dimensions of eco-conscious nursing.
Psychometric evaluation of the translated arabic version of the geriatrics health behavior questionnaire (GHBQ) for geriatric nurses: a cross-sectional study
Background The Geriatrics Health Behavior Questionnaire (GHBQ) is essential for assessing health-related behaviors among older adults populations. This study focuses on the translation, cultural adaptation, and psychometric evaluation of the Arabic version of the GHBQ to ensure its relevance and accuracy for Arabic-speaking older adults individuals. Methods This cross-sectional study was conducted at the Cairo University Educational Hospital’s outpatient clinic. The GHBQ was translated and culturally adapted through a systematic process, including initial translation, back-translation, expert review, and pilot testing. The psychometric properties of the Arabic-translated GHBQ were evaluated using a sample of 200 older adults Arabic-speaking participants. Reliability was assessed using Cronbach’s alpha (α) and Intraclass Correlation Coefficient (ICC). Validity was evaluated through Content Validity Index (CVI), Exploratory Factor Analysis (EFA), and Confirmatory Factor Analysis (CFA). Results The Arabic GHBQ demonstrated excellent reliability with Cronbach’s alpha values ranging from 0.74 to 0.87 across subscales and ICC values confirming reproducibility (ICC = 0.82). The CVI indicated strong content validity (average CVI = 0.91). EFA revealed a five-factor structure, explaining 72% of the variance, with all factor loadings exceeding 0.60. CFA supported the questionnaire’s structure with fit indices meeting recommended criteria: χ²/df = 2.05, NFI = 0.92, TLI = 0.94, GFI = 0.90, SRMR = 0.05, AIC = 140.35, and BIC = 160.22. Criterion validity was confirmed through significant correlations with established health behavior measures ( r  = 0.63, p  < 0.001). Conclusions The culturally adapted Arabic version of the GHBQ is a reliable and valid tool for assessing health behaviors in the older adults population in Egypt. This instrument can aid healthcare providers in identifying and addressing health behaviors, ultimately improving the well-being of this demographic. Future research should focus on expanding the sample and comparing the GHBQ with other similar tools used in Arabic-speaking populations.