Crystal Journal of Medical Research - Article In Press

Articles in Press

Authors: Sami A. Al-Haidari*, Mansour A. Al-Taj, Abdulkareem A. Nassar, Yahia A. Raja’a, & Tawfik Al-Khateeb

Published Date: 21 March, 2025

Cite: Al-Haidari SA, Al-Taj MA, Nassar AA, Raja’a YA, Al-Khateeb T. Knowledge, attitudes, and practices about trachoma in four evaluation units of low endemic areas, in Yemen: Implications for prevention and control. Cryst J Med Res. 2025;1(1): 01-12.

Abstract
Background: Trachoma is a bacterial infection that causes blindness worldwide and affects impoverished communities disproportionately. Despite these interventions, Yemen has made strides towards trachoma elimination.

Objective: To assess the knowledge, attitudes, and practices (KAP) regarding trachoma and its associated factors among rural communities in six districts within four Evaluation Units (EUs) of Hodeidah and Ibb governorates in, Yemen.

Methods: A community-based cross-sectional study was conducted in six districts from four Evaluation Unites (EUs) of the Hodeidah and Ibb governorates in January 2025. Bivariate analysis (chi-square) identified variables for multivariable logistic regression (p < 0.25). Multicollinearity was addressed by excluding relevant variables from each model.

Results: Among the 1164 interviewed participants, 38.8% (435) exhibited good knowledge, 19.1% (222) demonstrated good attitudes, and 46.5% (541) practiced good hygiene related to trachoma prevention. Significant associations were observed between KAP and several factors: Age of the head of household: Inversely associated with adequate knowledge (AOR = 0.13, 95% CI 0.08-0.22, P < 0.001), good attitudes (AOR = 3.12, 95% CI 2.23-4.36, P < 0.001), and good practices (AOR = 0.26, 95% CI 0.18-0.39, P < 0.001). Mother's literacy status: Significantly and positively associated with adequate knowledge (AOR = 102, 95% CI 47.7-219.4, P < 0.001), good attitudes (AOR = 3.60, 95% CI 2.50-5.17, P < 0.001), and good practices (AOR = 170, 95% CI 82-358, P < 0.001).Father's occupational status: Significantly and positively associated with adequate knowledge (AOR = 43.6, 95% CI 22.2-85.5, P < 0.001) and good practices (AOR = 3.67, 95% CI 2.35-5.73, P < 0.001), but inversely associated with good attitudes (AOR = 0.43, 95% CI 0.31-0.61, P < 0.001).Household size: Inversely associated with adequate knowledge (AOR = 0.62, 95% CI 0.40-0.99, P < 0.001) and good attitudes (AOR = 1.82, 95% CI 1.33-2.50, P < 0.001).Wealth index: Significantly and positively associated with adequate knowledge (AOR = 6.47, 95% CI 3.94-10.62, P < 0.001) and good practices (AOR = 1.57, 95% CI 1.03-2.40, P < 0.001).Gender of the head of household: Male-headed households were less likely to have a good knowledge than female-headed households (AOR = 0.59, 95% CI 0.37-0.96, P < 0.001).

Conclusions: This study found significant disparities in KAP related to trachoma prevention, influenced by factors like the age of the household head, parental literacy, and household wealth.

Keywords
Trachoma, Evaluation Unites, KAP

Authors: Mirela Tushe*

Published Date: 16 April, 2025

Cite: Tushe M, The Impact of Stigma on the Quality of Life in Individuals with Mental Health Disorders. Cryst J Med Res. 2025;1(1): 01-04.

Abstract
Artificial Intelligence (AI) has become a transformative force in healthcare, particularly in nursing, where it offers innovative solutions for improving patient care, enhancing clinical decision-making, and advancing educational methodologies. This review explores the current applications of AI in nursing, highlighting its role in clinical practice, education, and ethics. By synthesizing recent literature, we aim to provide an overview of how AI can support the nursing profession in addressing contemporary challenges and shaping the future of patient care. Additionally, we examine the potential challenges, including data privacy concerns, ethical dilemmas, and the integration of AI into clinical workflows. This paper emphasizes the importance of integrating AI responsibly and ethically to ensure that its benefits are maximized while minimizing risks to patient care.

Keywords
Artificial Intelligence, Nursing, Medical Education, Healthcare Technology, Machine Learning, Clinical Decision Support, Surgical Robotics, Virtual Reality, Ethics

Authors: Mirela Tushe*

Published Date: 17 April, 2025

Cite: Tushe M. Data Collection in Healthcare and Information Technology in the Field of Nursing. Cryst J Med Res. 2025;1(1): 01-05.

Abstract
The integration of medical data collection and information technology (IT) in the field of nursing has significantly transformed healthcare practices, improving patient outcomes, enhancing decision-making processes, and optimizing nursing workflows. This article explores the role of information technology in medical data collection within nursing, examining its impact on patient care, the management of healthcare services, and the challenges faced by nurses in adapting to new technologies. The article also discusses the implications of electronic health records (EHR), telemedicine, wearable devices, and artificial intelligence (AI) in nursing practice. Additionally, it examines how data collection and IT can be implemented more effectively within Albania's healthcare system.

Keywords
Data Collection, Nursing, Information Technology, Electronic Health Records, Telemedicine, Wearable Devices, Artificial
Intelligence, Patient Care, Healthcare Management

Authors: Tommaso Di Ieso*, Rosamaria Matano, & Beatrice Bosco

Published Date: 16 June, 2025

Cite: Di Ieso T, Matano R, Bosco B. Management of postoperative pain in the child in otorhinolaryngology. Cryst J Med Res. 2025;1(1): 01-04.

Abstract
Background: Effective intraoperative analgesia is crucial for patients who cannot verbally communicate pain, such as children undergoing adenoidectomy, adenotonsillectomy, and/or tonsillectomy.

Objective: This study aims to demonstrate that adequate intraoperative analgesia significantly improves postoperative pain management in pediatric patients.

Methods: We administered Tramadol and/or Xylocaine spray to pediatric patients to reduce pain. Patients were divided into three groups, and pain levels were assessed using the NRS/VAS and WONG-BAKER scales.

Results: The group that received both Tramadol and Xylocaine spray demonstrated the most significant reduction in both postoperative pain and agitation.

Conclusion: The findings suggest that the combination of topical anesthesia with tramadol is an effective approach for managing pain in young patients, resulting in a statistically significant reduction in pain perception of approximately two points.

Keywords
Children, Adenotonsillectomy, Otorhinolaryngology, Pain, Wong-Baker, Tramadol

Authors: Mirela Tushe*

Published Date: 18 April, 2025

Cite: Tushe M. Artificial Intelligence in Nursing: A Comprehensive Review of Current Applications and Future Prospects. Cryst J Med Res. 2025;1(1): 01-04.

Abstract
Mental health stigma is a significant barrier that directly affects the quality of life of individuals suffering from mental health disorders. This phenomenon has a profound impact, harming how individuals perceive themselves and how society treats them. Addressing and eliminating this stigma is crucial for improving the quality of life for those affected by these disorders. Our study explores the importance of addressing stigmatization and how societal attitude changes can lead to improvements in the lives of individuals facing these challenges. A comprehensive approach, including education and public awareness, can help reduce the negative impacts of stigma.

Keywords
Mental Health, Stigma, Quality of Life, Public Stigma, Self-Stigma, Social Isolation, Mental Health Disorders, Treatment Seeking, Discrimination, Self-Esteem, Recovery, Public Awareness, Mental Health Awareness Campaigns, Mental Health Interventions