Saudi Arabia's Vision 2030 is a major transformative push for an economy and public services diversification such as in health. This strategic vision of health care in the Kingdom gives emphasis on sustainability, accessibility, and quality in the healthcare delivery systems. Developmentally, Jazan is a fast pace growing area which faces its own specific challenges and opportunities with respect to the provision of health services. This review intends to study the health care planning in Jazan in relation to Vision 2030 which includes key policy issues, infrastructure developments, technology integration, and human resources improvements. It draws conclusions on public-private partnerships (PPPs) for health, digital health initiatives, and strategic interventions to address health issues in the region. By peer reviewing the literature available, government reports, and case studies, this review is presented as an overview of best practices and recommendations for strengthening such systems in Jazan. In conclusion, critical aspects such as healthcare governance, financial investments, and technological advancement have been drummed up, emphasizing the need for Jazan to achieve the extensive healthcare goals set forth under Vision 2030.

The review paper explains the effects of data-driven transformation in healthcare on access to care and efficiency in the southwest part of Saudi Arabia, with focus on Jazan. Within the ambit of Saudi Vision 2030, several steps have been taken by the Kingdom to adopt digital health technologies that will help close the urban-rural healthcare gap. Utilization of telemedicine, mobile health applications, and AI-enabled diagnostics continues shaping much-needed changes in health delivery mechanisms in resource-poor areas by enhancing access to medical services for previously underprivileged rural populations alienated by geographical barriers, long travel distances to health facilities, unaffordable costs, and inadequate availability of both health facilities and personnel. Across the southwest of Saudi Arabia, where terrain and infrastructural challenges have historically obstructed access to healthcare, digital health initiatives like Seha Virtual Hospital (SVH), and Sehhaty App now play a crucial role in availing remote consultations, the management of chronic diseases, and delivery of care. The integration of electronic health records (EHR) and, in turn, AI tools will boost the efficiency of healthcare services through real-time data sharing, better allocation of resources, and lesser diagnostic errors. Yet, several challenges remain, including issues of internet connection in the rural space, digital literacy, preparedness of the workforce, and regulatory frameworks for telemedicine. These barriers need to be dealt with for the sustainable and equitable rollout of digital health solutions. This review elaborates on how data-driven transformation of healthcare could precipitate a favourable outcome in the health of the southwest region while laying down the challenges to be surmounted for this progress to continue with success. By and large, the data-driven health transformation in southwest Saudi Arabia presents a potential model for addressing disparities between urban and rural health, resulting in more efficient, accessible, and patient-centred care.

This study tiled “Fostering a Culture of Well-being and Civility: Pathways to Enhance Staff Retention and Improved Patient Outcomes in Nursing” aimed to explore how well-being and civility initiatives influence nurse engagement, retention, and patient outcomes within the Executive Nursing Affairs of Prince Sultan Military Medical City (PSMMC)-Ministry of Defense (MSD). Using a mixed methods descriptive correlational design, the study employed the Nursing Retention & Recognition Committee (NRCC) bilingual (Englisg-Arabic) questionaire as the main research intrument to measure nurses’ perceptions of workplace well-being, civility, engagement, and retention. Institutional data from the Nursing Retention & Recognition Committee (NRCC) covering 2022 to 2025 were also analyzed to validat the results and strengthen the interpretation. The findings revealed that PSMMC demosntates a strong commitment to fostering well-being and civility through effective recognition programs, empowerment opportunities, and initiatives promotion mutual respect. The extent of implementation of these initiatives was rated high (Mean=4.05), reflecting strong organizational support and leadership engagement. Nurse engagement and satisfaction were also moderately high (Mean=3.95), largely influenced by teamwork, morale, and professional fulfillment. Pearson’s correlation analysis showed a strong positive relationship (r = 0.74, p  0.05) between well-being and civility initiatives and staff retention. Regression analysis futher inidcated that improved well-being and civility significantly enhance patience outcomes (=0.62, p 0.05), particularly in quality of care and satisfaction. The results affirm PSMMC’s leadership excellence in nurturing a professional, respectful, and supportive nursing environment. Continuous evaluation, mentorship for newly hired nurses, and sustained recognition initiatives are recommended to strenghthen engagement and retention. Ultimately, the study emphasizes that cultivating a culture of well-being and civility is vital for promoting workforce stability and achieving excellence in patient care.

Simulation-Based Learning (SBL) has become an essential component of modern nursing education, offering learners realistic and risk-free⁠ environments to practice essential clinical and decision-making skills. With the increasing complexity of healthcare systems and the growing emphasis on patient safety, nursing edu⁠cators are seeking innovative methods that effective⁠ly prepare students for real-world clinical challeng⁠es. Traditional Clinical Experience (TC⁠E), while historically the cornerstone of nursing training, presents several ch⁠allen⁠ges inclu⁠di⁠ng inconsistent patient exposure, ethical conc⁠erns, and variability in supervision. As a res⁠ult, educators have turned to SBL as a structured, e⁠videnc⁠e-⁠based approach that enhances clinical competence, self-efficacy, an⁠d professional readiness. The obje⁠ctive of this system⁠atic review was to critically evaluate and synthesize exist⁠ing rese⁠arch comparing simulation-based learning and traditional clinical experiences in improving nursing staff competencies. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the⁠ seven stages of knowledge synthesis in nursing science: form⁠ulating the research question, developing a data protocol, implementi⁠ng a ri⁠gorous search strategy, appraising study quality, extractin⁠g data, synthesizing evidence, and interpreting f⁠indings. Ele⁠ctronic databases PubMed, Scopus, CINAHL, MEDLINE, Web of Science, and the Cochrane Library were searched for⁠ studies publi⁠shed between 2010 and 2024. Fifteen studies met the inclusion criteri⁠a, encompassing a total of 1,676 participants. Results demonstrated that SBL produced superior⁠ or equivalent outcomes compared with TCE ac⁠ross the cognitive, affective⁠, and psychomotor domains. Specifically, simulation significantly improved students’ self-efficacy, confidenc⁠e, clinical judgment, and procedur⁠al accuracy. Quantitative synthesis revealed large e⁠ffect sizes favo⁠ring SBL for self-efficacy (SMD = 1.93), clinical perfo⁠rmance (SMD = 1.62), and confidence (SMD =⁠ 1.83). Additionally, qualitative finding⁠s highlighted that simulation enhanced learner engagement, reflective thinking, and perceived readiness for clinical practice. However, challenges related to cost, faculty training, and standa⁠r⁠dization of simulation protocols remain pers⁠istent barriers to w⁠idespread implementation. T⁠hi⁠s review concludes⁠ that sim⁠ulation⁠-based learning represents a pedagogically sound, effective, and safe educational strategy that bridges the longstanding gap between theory and practice in nursing education. It⁠s structured and controlled learning envi⁠ronment fosters meas⁠urable improvements in knowledge, skill performance,⁠ and confidence amo⁠ng nursi⁠ng students. Nevertheless, ongoing research is needed to establish standardized evaluation tools, assess lon⁠g-term outcomes, and ensur⁠e cost-effective scalability. The findings support the integration of simulation-based learning as a core com⁠ponent of nursing curricula, compleme⁠nting traditi⁠onal clinical exp⁠eriences to produce compet⁠ent, confident,⁠ a⁠nd patient-centered nursing professionals.

Background: Accurate preoperative assessment of surgicopathological factors is essential for optimal management of early cervical cancer. Magnetic resonance imaging (MRI) is widely used for preoperative staging, but its diagnostic accuracy varies across key pathological predictors. This study aimed to evaluate the sensitivity, specificity, and predictive values of MRI in determining surgicopathological factors in early-stage cervical cancer using histopathology as the gold standard. Methods: This prospective cross-sectional study was conducted at the Gynecological Oncology Unit of Dhaka Medical College Hospital from June 2021 to May 2022. Fifty histologically confirmed early-stage cervical cancer patients undergoing primary radical hysterectomy with pelvic lymph node dissection were included. Preoperative MRI assessed tumor size, vaginal extension, parametrial involvement, lymph node metastasis, deep stromal invasion, and corpus extension. MRI findings were compared with clinical examination and final histopathology. Diagnostic accuracy parameters were calculated. Results: Clinically, 94% of tumors were <4 cm, and 14% showed vaginal involvement. MRI demonstrated high accuracy for tumor size assessment with sensitivity 97.87%, specificity 100%, and overall accuracy 98%. For vaginal extension, MRI showed sensitivity 71.43% and specificity 100% with accuracy 96%. MRI detected lymph node metastasis with sensitivity 60%, specificity 91.11%, and accuracy 88%. Deep stromal invasion was identified with 72.41% sensitivity and 71.43% specificity. Corpus extension demonstrated sensitivity 55.56%, specificity 93.75%, and accuracy 80%. Conclusion: MRI is a highly sensitive and specific modality for preoperative evaluation of key surgicopathological factors in early cervical cancer. Its strong concordance with histopathology supports its essential role in guiding surgical planning and staging.

This article examines how disability and gender intersect in contemporary Malayalam crime fiction through Sreeparvathy’s Violet Pookkalude Maranam (2021), which introduces Aleena Ben John, a wheelchair-using woman, as its central detective. The study situates Sreeparvathy’s work within Kerala’s evolving literary landscape, where disability has rarely occupied a central position in fiction and is often represented through metaphors of dependence, tragedy, or moral burden. Drawing on Fiona Kumari Campbell’s theory of ableism and key insights from Feminist Disability Studies, the article analyses how Aleena’s narrative oscillates between empowerment and internalised shame. While her role as a detective appears to challenge patriarchal and ableist frameworks, her self-perception and limited social agency reveal deep-seated cultural anxieties about the disabled female body. Through a close reading of the novel’s narrative structure and psychological interiority, the article argues that Violet Pookkalude Maranam both expands and constrains the possibilities of representing disabled womanhood in Malayalam literature. By exploring disability not as metaphor but as lived experience, this study contributes to understanding how gendered embodiment and genre conventions shape the politics of visibility and agency in Kerala’s popular fiction.

Introduction : Prostate cancer is the most common cancer in men over 65. Depression is frequent in this population but remains underdiagnosed, particularly due to atypical clinical presentations, confusion with treatment side effects, and sociocultural perceptions that trivialize the psychological distress of older adults. The objective of this study was to describe the obstacles to screening for depression in older patients treated for prostate cancer, analyze professional perceptions, and identify potential improvements to the care pathway. Methods : A qualitative study incorporating a clinical case of severe depression in a 76-year-old man treated with hormone therapy for prostate cancer, and semi-structured interviews conducted with a university hospital geriatrician and a geriatric psychiatrist. Results: Psychological vulnerability is increased by the cancer diagnosis, the loss of virility associated with treatment, geriatric frailty, and social isolation. Screening practices remain inconsistent: geriatricians used standardized tools, while psychiatrists intervened after the disorder had already developed. Identified obstacles included confusion between depressive symptoms and side effects, persistent taboos surrounding psychiatry, a lack of interdisciplinary coordination, and the absence of institutional protocols. Professionals agreed on the need for a structured screening protocol, targeted training, and interdisciplinary collaboration. Analysis of the literature and professional guidelines reinforced the need to implement a proactive screening approach, particularly at the initiation of hormone therapy. Conclusion : This study highlighted the need for a preventive and integrative approach to identify depression early in this high-risk population. Systematizing screening, adapting tools to the cultural context, and fostering collaboration among professionals working with older adults are essential to improving their quality of life and preventing suicidal complications.