The purpose of this study is to explore the intricate relationships between Value-Based Care (VBC) and various organizational and leadership factors within healthcare settings. The research question concerns what is the impact of those factors on the implementation of VBC. The research adopts an explanatory approach and utilizes a quantitative method by employing a questionnaire to reach a sample of 376 respondents. The research was exclusively carried out in the eastern health cluster hospitals of the kingdom of Saudi Arabia. The findings revealed that effective nursing leadership, employee engagement, change management skills, and organizational culture significantly contribute to the successful implementation of VBC. The findings underscore the critical role of nursing leadership in driving improvements in patient care quality and operational efficiency. This research also highlights the importance of fostering a positive organizational culture and robust change management capabilities to enhance VBC practices. By identifying these key factors, the study provides actionable insights for healthcare administrators and policymakers aimed at improving patient outcomes and achieving cost-efficiency through the adoption of VBC models. Despite its contributions, the study acknowledges certain limitations and suggests avenues for future research to further validate and expand upon these findings.

Determining the fetal weight accurately is essential for prenatal treatment and decision-making. The purpose of this study was to estimate the weight of the fetus in Ojo, Lagos State, Nigeria between 20 and 40 weeks of gestation by developing a fetal anthropometric model using ultrasound measures. A longitudinal study of 300 pregnant women was conducted, with obstetric ultrasound scans images. Fetal biometric parameters (abdominal circumference and femur length) were measured and correlated to estimate fetal weight using Hadlock’s formula. A predictive model for fetal weight estimation was created using regression analysis. From the results, fetal biometric measurements are connected. When one goes up, the other goes down. This means that there is a relationship between fetal biometric measurements and estimated fetal weight (EFW). Hence, the size of a fetus can help us estimate how much it weighs. This shows that fetal measurements are helpful in predicting fetal weight.

Background and Objective: The environment serves as a gateway to many disease conditions, especially when compromised or altered. Bayelsa State is known for its fragile environment, occasioned by crude oil contamination, reckless gas flaring, illegal artisanal oil refining, flooding, and gross lack of water, sanitation, and hygiene (WASH) systems. These factors have direct correlations with Communicable diseases (CDs) and non-communicable diseases (NCDs). This study is therefore designed to establish a verifiable basis for the impact of environmental degradation and contamination on the health conditions of residents in Bayelsa State. Materials and Methods: This descriptive study reviewed this thematic discourse using secondary data and literature sources from search engines and internationally revered publication platforms such as Elsevier, Scopus, ResearchGate, Google Scholar, Francis and Tylor, Springer, and a handful of others. Results: The findings have clearly shown that environmental degradation and contamination have obvious effects on the health conditions of the residents of Bayelsa State. Public health conditions such as infectious diseases, non-communicable diseases, malaria, cancer, pulmonary diseases, cardiac diseases, renal failure, infertility, congenital disorders, diabetes, and hypertension topped the list of associated diseases. Conclusion: There is a two-prong approach to resolving the disease proliferations associated with environmental degradation in Bayelsa State. Firstly, there is a need for effective policy directions by the federal and state governments in addressing the issue of environmental degradation using internationally accepted standards sourced locally. Secondly, it is on the side of the citizens to be responsive in ensuring an assurance of an environmentally friendly ecosystem in Bayelsa State.

Background: The Kingdom of Saudi Arabia has substantially expanded digital health services in recent years through eHealth platforms such as Sehaty and Wasfaty, aligning with the digital transformation pillar of Vision 2030. Despite this rapid expansion, the uptake of healthcare applications among older adults has remained uneven, with barriers reported in digital literacy, usability, and perceived benefit. Objective: This study aimed to examine the factors influencing older adults' awareness and utilization of healthcare applications and the perceived effect of these applications on quality of life in Jeddah City, Saudi Arabia. Methods: A cross-sectional quantitative design was adopted. Data were collected in Jeddah City through an electronic questionnaire distributed in June 2025. The target population consisted of Saudi adults aged 30 years and above. A stratified random sampling technique was used based on age, gender, and education level. Out of 316 distributed questionnaires, 227 were returned (71.8% response rate) and 161 valid responses were retained for analysis. A structured Arabic-language questionnaire comprising four sections was developed and pilot-tested. Data were analyzed using SPSS Version 26, including descriptive statistics, chi-square tests, t-tests, one-way ANOVA, Pearson and Spearman correlations, and multiple linear regression, with statistical significance set at p < 0.05. Cronbach's alpha coefficients ranged from 0.875 to 0.944 across the subscales, with an overall alpha of 0.889 for the 39-item instrument. Results: The final sample (n = 161) was predominantly female (74.5%), aged between 30 and 40 years (60.9%), held a bachelor's degree (62.7%), and was married (81.4%). Awareness of healthcare applications differed significantly by gender, age, education, job title, occupation, and marital status (all p < 0.001). The strongest positive correlates of awareness and utilization were perceived benefit (r = 0.831), perceived ease of use (r = 0.681), and health and ageing issues (r = 0.658). The multiple regression model was significant, R² = 0.727, F(6, 156) = 69.26, p < 0.001. Perceived benefit (β = 0.606, p < 0.001) was the strongest predictor, followed by perceived ease of use (β = 0.193, p = 0.002) and health and ageing issues (β = 0.146, p = 0.013). Conclusion: Perceived benefit and perceived ease of use emerged as the key drivers of older adults' awareness and utilization of healthcare applications in Jeddah City. User-friendly design and clear communication of tangible value are therefore essential to maximize adoption and enhance the quality of life of this growing population.

Learning Needs Assessment (LNA) is a fundamental component of professional nursing development, especially in tertiary care settings where nurses require specialized clinical and non-clinical competencies. King Fahad Specialist Hospital–Dammam (KFSHD), a major tertiary center in Saudi Arabia, provides advanced services across oncology, transplant, neurosciences, medical, surgical, critical care, and emergency departments. Due to the complexity of these specialties, assessing nurses’ learning needs is essential for guiding targeted continuing education activities. Aim: This study aimed to identify nurses’ learning needs across four components of continuing education, determine preferred locations and durations for learning activities, identify preferred learning methods, examine perceived barriers, evaluate satisfaction with current programs, and compare results across different years of experience. Methods: A cross-sectional survey was conducted in a tertiary hospital across all different levels of nursing. Sample was collected using quota sampling across inpatient and outpatient nursing departments at KFSHD. An online questionnaire consists of six domains was distributed to all nurses, supported by automated reminders to enhance participation. Data were analyzed using SPSS 2024 through descriptive statistics, chi-square testing, and content analysis. Results: A total of 903 nurses participated. The highest reported learning needs were related to emergency response (40.5%), crash cart and defibrillator use (34.6%), and medication courses (29.3%). Most participants (74.3%) preferred continuing education activities lasting no longer than one day, and nearly half indicated a preference for session durations of 15–30 minutes. Lecture-based presentations were the most preferred learning method (47.2%), while work schedule conflicts were the primary barrier to attendance (42.3%). Experience-based differences were evident, with less experienced nurses up to 5 years expressing higher learning needs for medication-related courses, while nurses with more than 15 years of experience showed greater needs for documentation training. Additionally, nurses with mid-level experience of 6-10 years demonstrated increased interest in nursing informatics. Conclusion: Nurses at KFSHD value continuing education and benefit most from short, experience-tailored training sessions. Educators should adopt micro learning and create level-specific pathways focused on high-priority clinical skills. Administrators must address workload barriers by providing flexible learning time and ensuring programs align with learning needs and operational realities.