Saudi Cultural Missions Theses & Dissertations

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    Improving Heart Failure Management in Saudi Arabia: A Quality and Safety Improvement Project Using Telemedicine
    (University of Nottingham, 2024) Alansari, Dareen; Stacy, Johnson
    Heart failure is a common and complex healthcare problem in Saudi Arabia. Due to the lack of emphasis on primary and secondary prevention, the ageing population, and the increased prevalence of heart failure risk factors, especially among the younger population, the number of people with HF is expected to increase, leading to an increased burden on the national healthcare system in Saudi Arabia. This proposed quality improvement project will utilise telemedicine to monitor the progression of heart failure and heart failure risk factors, facilitate early identification of disease worsening and prompt referral to specialists, as well as educate people about the importance of managing their disease, in an effort to delay the development of heart failure and to improve the quality and safety of existing heart failure care in Saudi Arabia. Well-recognised quality improvement methodology and tools, including the Model for Improvement and Davidge’s Seven Steps to Measurement, supported by statistical process control charts as well as qualitative methods, will be used to guide the improvement process. A high emphasis will be placed on stakeholders involvement through an appropriate leadership style and engagement of stakeholders in the development of the design of this project at the early stages. This proposed quality improvement project provides a sustainable solution that is well-aligned with the vision of Saudi Arabia as well as the Institute of Medicine’s six domains of healthcare quality, taking advantage of a well-established technology infrastructure to tackle a persistent healthcare threat.
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    Measuring The Quality of Wikipedia Articles Among Different Topics
    (Saudi Digital Library, 2023-11-23) Aljohani, Thamer; Niesen, Jitse
    Wikipedia, a globally famous online encyclopedia, offers millions of articles across diverse topics. Its open editing policy, allowing contributions from volunteers, has made it a valuable resource. However, its reliability has been questionable, particularly in academic circles. To enhance the understanding of Wikipedia’s quality, and due to the difficulty of the assessment of quality in Wikipedia’s approach, this study presents an innovative approach to evaluate article quality. This study aims to create a quantifiable simple model based on measurable attributes, such as the length of articles, the number of references, and the number of edits. This model facilitates the calculation of article quality and subsequent assignment of quality classifications. As a result, the model proposed in this study shows an approximate accuracy equal to a random forest model which is considered a complex model. Furthermore, the research explores variations in article quality across various topics, shedding light on topics where high-quality content is prevalent and areas that require improvement. Data was collected from the Wikipedia API, and based on these measurable features, quality assessments were made. The findings indicate that Astronomy topics have a higher level of quality, while Language topics have a lower proportion of high-quality topics. These findings suggest that the attributes used to measure quality in this study are sufficient and efficient for assessing article quality on Wikipedia. Moreover, the study highlights the articles that need the experts to focus their efforts on improving articles related to topics such as Language, Business, or Mathematics to enhance the overall quality of content in these topics.
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    Explore The Perspective of the Public Institution Toward Their Collaboration with the Social Media Celebrities
    (Saudi Digital Library, 2023-08-10) Alreshwde, Bander; Patel, Susmi
    The research’s central idea has been to explore and analyse the views and decisions of public authorities regarding their cooperative working with social-media influencers or celebrities. Methodology: The research integrated semi-structured interviews with 6 editors-in-chief and directors from Saudi media agencies. Thematic analysis was rigorously performed to evaluate the data findings.
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