Publications by authors named "Ahlam Alhajri"

Background and objective Shared decision-making (SDM) in healthcare has transitioned from a paternalistic model to a collaborative approach, particularly significant in chronic disease management. This shift focuses on aligning healthcare decisions with patient preferences and values, thereby enhancing patient engagement and treatment adherence. However, patient preferences regarding involvement in SDM vary widely, influenced by demographic, disease-specific, psychological, cultural, and social factors.

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Article Synopsis
  • The study investigates the quality of life (QOL) and psychosocial effects on patients with various blood disorders using a cross-sectional survey format.
  • Out of 417 responses, 389 were analyzed, revealing significant financial stress, social exclusion, and relationship challenges as major psychosocial impacts, with notable differences based on age and type of disorder.
  • The findings highlight a strong need for tailored treatment plans that address both physical and mental health support, awareness, and financial assistance due to the observed issues with social exclusion and patient awareness.
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In the present study, zinc oxide nanoparticles (ZnO-NPs) were synthesized using neem leaf aqueous extracts and characterized using transmission electron microscopy (TEM), ultraviolet visible spectroscopy (UV-Vis), and dynamic light scattering (DLS). Then compare its efficacy as anticancer and antibacterial agents with chemically synthesized ZnO-NPs and the neem leaf extract used for the green synthesis of ZnO-NPs. The TEM, UV-vis, and particle size confirmed that the developed ZnO-NPs are nanoscale.

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Hepatotoxin carbon tetrachloride (CCl) causes liver injury. This research aims to create ZnO-NPs using green synthesis from (MO) leaves aqueous extract, and chemically prepared and confirming the synthesis by specialized equipment analysis. The sizes formed of ZnO-NPs were 80 and 55 nm for chemical and green methods, respectively.

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Background This study aims to explore the factors associated with artificial intelligence (AI) and patient autonomy in obesity treatment decision-making. Methodology A cross-sectional, online, descriptive survey design was adopted in this study. The survey instrument incorporated the Ideal Patient Autonomy Scale (IPAS) and other factors affecting patient autonomy in the AI-patient relationship.

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COVID-19 pandemic influenced the environment, animal health, and food security. Due to reduced human mobility, the air and water quality increased. Other environmental consequences were the personal protective types of equipment and their haphazard disposal.

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