SACM - Australia

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    Heart disease, health outcomes, and healthcare utilisation among middle-aged and older Australians: a longitudinal study using HILDA survey data
    (The University of Queensland, 2024) Alkalabi, Meshal; Keramat, Syed Afroz
    STUDY 1 ABSTRACT Background Heart disease is a major public health concern globally, with substantial impacts on health outcomes among middle-aged and older adults. Understanding its influence on general health, mental health, self-assessed health, and health satisfaction is crucial for developing effective interventions tailored to this demographic in Australia. The study aims to investigate the longitudinal burden of heart disease on self-reported health outcomes among middle-aged and older Australians, focusing on general health, mental health, self-assessed health, and health satisfaction. Methods This study utilised longitudinal data from the Household, Income, and Labour Dynamics in Australia (HILDA) survey, focusing on individuals aged 40 years and older across four survey waves: 2009, 2013, 2017, and 2021. The study included 12,751 participants aged 40 and older, with 32,931 observations. Fixed-effects Generalised Least Squares (GLS) and fixed-effects ordered logistic regression models were applied to assess the association between heart disease and four health outcomes. Robustness checks were conducted using Generalised Estimating Equations (GEE) and random-effect GLS models. The analysis adjusted for sociodemographic, behavioural, and healthrelated variables. Results The results suggest that heart disease was negatively associated with general health, mental health, self-assessed health, and health satisfaction among middle-aged and older Australians. Specifically, participants with heart disease scored lower on general health (β = -4.67, 95% CI: -5.56 to -3.77, p < 0.001), mental health (β = -0.98, 95% CI: -1.84 to -0.12, p = 0.025), self-assessed health (β = -0.76, 95% CI: -0.94 to -0.58, p < 0.001), and health satisfaction (β = -0.50, 95% CI: -0.65 to - 0.35, p < 0.001) compared to those without heart disease. The heterogeneous analysis further revealed that gender differences influenced health outcomes, with females experiencing more pronounced declines across all health measures than males. Additionally, the marginal effects analysis indicated that heart disease reduced the likelihood of achieving the highest levels of self-assessed health and health satisfaction. Conclusion This study found that heart disease is linked to poorer health outcomes, including general health, mental health, self-assessed health, and health satisfaction among middle-aged and older Australians. To enhance the overall well-being of this population, communities, government and nongovernment organisations, and other stakeholders should prioritise routine healthcare prevention, targeted interventions, and treatment strategies, particularly for individuals affected by heart disease.. Keywords: Heart disease; general health; mental health; self-assessed health; health satisfaction STUDY 2 ABSTRACT Background Heart disease poses a significant burden on healthcare systems, particularly among middle-aged and older adults in Australia. Despite existing research on healthcare utilisation patterns, longitudinal studies focusing on how heart disease affects healthcare use over time among older Australians remain limited. The study aims to examine the longitudinal burden of heart disease on healthcare utilisation among middle-aged and older Australians, focusing on the number of doctor visits, hospital admissions, and nights spent in the hospital. Methods This longitudinal observational study utilised data from the Household, Income, and Labour Dynamics in Australia (HILDA) survey, covering the years 2009, 2013, 2017, and 2021. The study included 12,857 participants aged 40 and older, with 33,822 observations. The primary outcomes were the number of doctor visits, hospital admissions, and nights spent in the hospital. Heart disease status was the main exposure variable, and random-effects negative binomial regression models were used to examine associations, adjusting for socio-demographic, behavioural, and healthcare access factors. Results Participants with heart disease had significantly higher healthcare utilisation across all measures. The rate of doctor visits increased by 24% (IRR: 1.24, 95% CI: 1.20–1.28, p < 0.001), while hospital admissions nearly doubled (IRR: 1.91, 95% CI: 1.76–2.07, p < 0.001), and nights spent in the hospital were significantly longer (IRR: 1.89, 95% CI: 1.75–2.04, p < 0.001) compared to those without heart disease. Older age (≥ 70 years), female sex, multiple chronic conditions, and not being in the labour force were significant predictors of increased healthcare utilisation, indicating a compounded healthcare burden in these subgroups. Conclusion Heart This study shows that middle-aged and older Australians with heart disease have higher healthcare utilisation compared to those without the condition. Heart disease is a significant public health concern that necessitates comprehensive, long-term management strategies focused on prevention. Inadequate management of heart disease could lead to worsening health outcomes and place further strain on the healthcare system. Keywords: Heart disease, healthcare utilisation, longitudinal study, older adults, HILDA survey, doctor visits, hospital admissions, Australia.
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    Understanding Family Language Policies in Saudi Sojourning Families: insights from Mothers in Melbourne.
    (Monash University, 2024) Alsubaie, Samah; Fang, Nina
    This study investigates how ten Saudi sojourning mothers in Melbourne manage Family Language Policy (FLP) decisions regarding their children's language development. Unlike immigrants, who aim for long-term integration, sojourners live abroad temporarily, planning to return to their home country. Much research has been conducted on immigrants; however, few studies have focused on sojourners, particularly Saudi sojourning mothers. Therefore, they are the focus of this study. Using a qualitative approach, including semi-structured interviews, the study finds that all mothers prioritize maintaining Arabic for religious, cultural, and educational reasons. The research reveals the significant influence of external societal pressures and internal family dynamics on FLP choices, leading to a gap between the mothers' declared language ideologies and their actual practices. Despite these challenges, the mothers show a strong commitment to preserving their children's first language (L1) through consistent strategies. A key finding is the positive impact of fathers' active involvement in language education, which not only enhances language acquisition but also strengthens family unity and authority. The study highlights the complexities of FLP in transnational families and offers valuable insights into how parental roles and external factors shape language policies.
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    Synergising Learning Sciences, Learning Analytics, and Educational Technologies
    (The University of Queensland, 2024) Lahza, Hatim; Khosravi, Hassan; Demartini, Gianluca
    The adoption of educational technologies in modern educational systems has significantly advanced the field of learning sciences. This shift, particularly evident within digital learning environments, has enriched pedagogical strategies and redefined educational evaluation methodologies by leveraging sophisticated developments in learning analytics. Despite these advancements, a notable gap persists in effectively applying learning theories within digital environments and in the design of learning analytics. This shortfall partly stems from the ongoing development of empirical evidence supporting these theories and a prevalent reliance on software engineering and data science perspectives, which may not fully integrate learning theory insights. To this end, this thesis addresses this gap by proposing two triadic relationships among learning theories, educational technologies, and learning analytics. The overarching aim is to leverage these relationships to enhance learning understanding and learning optimisation. First, I leverage the dyadic relationship between learning theory and educational technologies to influence the development of the third actor of the triad, learning analytics, to enhance learning understanding. I demonstrate the application of this relationship through two approaches using two authentic educational platforms with real-life course data. The first approach, LA-exam, uses an e-exam platform and Self-Regulated Learning (SRL) theory to develop analytics for e-exams on two levels: student level and item level. The second approach, LA-sourcing, uses a learnersourcing platform and SRL theory to develop analytics about student tactics and strategies when engaging with the platform activities. Second, I leverage the dyadic relationship between learning theory and learning analytics to inform the design choices of the third actor of the triad, educational technologies, to enhance learning optimisation. I demonstrate the application of this relationship through two approaches that report the results of randomised controlled experiments conducted on a learnersourcing platform. The first approach, ET-create, uses a set of learning analytics and SRL theory to inform the design choices of SRL scaffolding strategies for content creation. The second approach, ET- review, uses a set of learning analytics and SRL and scripting theories to inform the design choices of scaffolding strategies for peer review.
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    Exploring Persuasive System Design Features and Users’ Perceptions of an mHealth Breastfeeding App: A Mixed-Method Study
    (University of Wollongong, 2024-03) Almohanna, Alaa Ali; Than Win, Khin; Meedya, Shahla; Vlahu-Gjorgievska, Elena
    The integration of persuasive technology in healthcare has gained considerable momentum through the proliferation of mobile health applications (mHealth apps). These apps become instrumental tools for providing tailored health support systems, facilitating informed decision-making, and promoting positive behaviours among users in increasingly persuasive ways. Among the various applications of mHealth apps, breastfeeding apps have emerged as invaluable resources for breastfeeding mothers. These apps can offer interactive information, tailored guidance, and support networks. Thus, incorporating persuasive features within these apps would further enhance their efficiency in promoting and supporting breastfeeding practices. The persuasive systems design (PSD) model represents a conceptual framework that informs persuasive technology design. The PSD model highlights four principles for persuasive system content and functionality and provides valuable insights into the key features that can be employed to design persuasive systems that are efficient and impactful. However, despite the prevalence of persuasive features in various mHealth apps, there is a limited understanding of how the intended users perceive these features. Research has primarily focused on the technical aspects of designing and implementing persuasive software features with limited empirical evidence on users' subjective experiences and perspectives regarding these features. This thesis comprises five studies, including quantitative and qualitative, that are thoroughly related and successively build upon each other to jointly achieve the central research aim: an in-depth exploration of user perceptions and experiences of persuasive design principles embedded in a mHealth app designed to support breastfeeding. Firstly, a systematic review was conducted to explore the characteristics of technology-based breastfeeding interventions and their effects on breastfeeding outcomes. Given the rising integration of technology with breastfeeding practices, it's crucial to examine these interventions' design features and impacts on breastfeeding outcomes. The study identified that the most effective features were educational content and personalised support via online forums. These aspects align with the PSD model's primary task support, dialogue support, social support, and credibility support principles. These results support the view that the Milky Way mHealth breastfeeding app would be a feasible tool to support and promote breastfeeding. Therefore, this research utilised the Milky Way app as a novel persuasive approach informed by the PSD model. The app incorporates various design features such as comprehensive information collection, interactive feedback, and social connectivity, all aimed at educating and supporting breastfeeding women. The PSD model comprises software features that have the potential to enhance the persuasive capabilities of mHealth apps; however, there is a limited understanding of how users perceive and experience these features. Recognising the importance of measuring users' perceptions of persuasion, the second study in this thesis aimed to develop and validate an instrument for measuring user perceptions of persuasive design principles in the Milky Way breastfeeding mHealth app. The instrument was designed following best practices and comprised 24 items. A Modified Delphi Study involved experts from academic and clinical backgrounds to assess the items' relevance and clarity. The instrument demonstrated high content validity (CVI), with most items scoring excellent (I-CVI ≥ 0.78), except one. The overall content validity index was moderate to high (S-CVI/Ave was 0.89 and 0.92 for relevance and clarity, respectively), confirming the instrument's validity, relevance, and clarity. In the third study of this thesis, a cross-sectional analysis was conducted on 168 women using convenience sampling to assess the instrument's validity and reliability. Statistical methods, such as Exploratory Factor Analysis (EFA), were employed to investigate the relationship between the PSD categories and app features. Construct validity was assessed with EFA, and reliability was measured using Cronbach's alpha. Results identified a four-factor solution with 23 items explaining 62.71% of the total variance. The instrument showed strong discriminant validity and high internal consistency (Cronbach's alpha α > 0.8). No statistically significant differences in participant responses based on demographic characteristics were found, which suggests that the instrument is applicable across diverse user groups. The study provided valuable insights into the multidimensional nature of the persuasive design principles within the instrument. The fourth study further explored the persuasive aspects of the Milky Way mHealth app's design, functionality, and usability based on 168 women's feedback via an online survey. Quantitative data showed significant positive perceptions of the app's persuasive design features (One-Sample t-Test, p < .001). A qualitative analysis of 288 responses indicated that the app is informative, credible, and supportive of breastfeeding. Additionally, practical design recommendations were suggested. The fifth and final study of this thesis was a qualitative follow-up study consisting of individual semi-structured interviews. These interviews were conducted to gain a comprehensive understanding by empirically exploring participants' experiences with the Milky Way mHealth app's persuasive features. Furthermore, the findings were analysed within the value-sensitive design (VSD) framework to align them with users' values and ethical considerations. Results highlighted the app's reliable educational content and supportive features, with tailored support and evidence- based advice being perceived as significant. A deductive analysis showed a strong alignment between user values and the app's design within the VSD framework. The research findings emphasise the significance of including evidence-based content, tailored support, and social connectivity as persuasive features in mHealth apps. These well-integrated PSD features greatly enhance user experience. The developed research instrument contributes to the advancement of research in the field of persuasive technology and its application in healthcare settings. It addresses a gap in understanding user perceptions of persuasive features. It provides a valuable instrument in establishing the foundation for future studies aiming to explore the persuasive capabilities of mHealth apps or similar technologies and their potential impact on promoting sustainable behaviour change. This research underscores the role of persuasive apps in health behaviour promotion. It also extends the empirical exploration of critical issues related to persuasive systems, specifically examining the consideration of ethical values in designing persuasive systems. The insights contribute to advancing persuasive technology and provide guidance for designing impactful, persuasive health technology aimed at promoting and supporting healthy behaviours. These findings have broader implications for the field of persuasive technology in providing valuable insights for designing useful and user-focused persuasive health technology. They inform researchers and practitioners in developing technologies that efficiently promote and support positive health behaviour change. In the broader context, the study contributes to advancing the understanding and application of persuasive design principles by highlighting the important role of user perceptions of software features in facilitating meaningful behaviour promotion and enhancing the overall user experience in healthcare contexts.
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    Investigating the Effectiveness of Mobile Learning for Enhancing the Academic Literacy of Saudi EFL Students: A Case Study of Students at Umm Al-Qura University.
    (Saudi Digital Library, 2024-11-25) Alqhtani, Abdalelah; Georgiou, Helen; Ward, Rowena; Freeman, Mark
    This thesis examines the impact of mobile learning technologies, specifically the ReadTheory and the Write&Improve programs, on the academic literacy development of Saudi university English as a Foreign Language (EFL) students. This study situates itself within the broader context of academic literacy challenges faced by Saudi EFL students, with a particular emphasis on key aspects such as vocabulary development, reading comprehension, mastery of sentence structure, and skills in composition analysis. Drawing on theoretical frameworks such as the Constructivist Learning Theory (CLT) and the Mobile Learning Framework, the study explores how mobile learning learner-centred development of academic literacy. The Technology Acceptance Model (TAM) is used to investigate Saudi EFL students’ perceptions and attitudes toward the ReadTheory and the Write&Improve programs as language learning tools. In this thesis, the Common European Framework of Reference for Languages (CEFR) is applied as a standard for evaluating the language proficiency levels of Saudi EFL students. It provides a comprehensive framework for assessing the specific impact of the ReadTheory and the Write&Improve programs on their reading and writing outcomes. Through theoretical analysis and empirical research, this study contributes to understanding the potential of mobile learning in enhancing EFL education in Saudi Arabia. The study, conducted at Umm Al Qura University (UQU), adopts a quasi-experimental design. All participants completed pre-and post-tests to evaluate students’ progress. Participants in the technology intervention groups also filled in post-intervention surveys about their perceptions of the programs’ usefulness and ease of use. The undergraduate participant cohort was divided into four groups: two for reading and two for writing. The reading groups involved 150 students, evenly split between those using the ReadTheory program and those attending online reading workshops. Both interventions spanned ten weeks. The reading workshops are held once a week to mitigate the potential positive impact of the technological intervention. Similarly, the writing groups involved 185 students, with 109 participants using the Write&Improve program and 76 attending online writing workshops. These writing workshops, conducted once a week for over ten weeks, ensured comparable exposure and practice writing opportunities, providing all participants with equal learning opportunities. This consistent structure across both reading and writing interventions was designed to create balanced conditions for evaluating the effectiveness of the mobile learning programs. Results show significant improvements in academic literacy. The ReadTheory intervention effectively enhanced the students’ reading skills (d = 0.74), outperforming the reading workshops (d = 0.18). The Write&Improve program significantly enhanced overall writing skills (d = 0.66) compared to the online writing workshops (d = 0.22). However, the online writing workshops were more effective in improving students’ sentence structure (d = 0.35) than in developing composition analysis skills (d = 0.14). Students found both programs useful and user-friendly for developing their academic literacy skills. This research contributes to advancing English education in Saudi Arabia and aligns with the country’s Vision 2030 by emphasising technology integration into educational practices. The research also has practical implications for EFL educators and researchers and concludes with suggestions for future research and application in similar settings.
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    Automatic Detection and Verification System for Arabic Rumor News on Twitter
    (University of Technology Sydney, 2026-04) Karali, Sami; Chin-Teng, Lin
    Language models have been extensively studied and applied in various fields in recent years. However, the majority of the language use models are designed for and perform significantly better in English compared to other languages, such as Arabic. The differences between English and Arabic in terms of grammar, writing, and word-forming structures pose significant challenges in applying English-based language models to Arabic content. Therefore, there is a critical need to develop and refine models and methodologies that can effectively process Arabic content. This research aims to address the gaps in Arabic language models by developing innovative machine learning (ML) and natural language processing (NLP) methodologies. We apply the developed model to Arabic rumor detection on Twitter to test its effectiveness. To achieve this, the research is divided into three fundamental phases: 1) Efficiently collecting and pre-processing a comprehensive dataset of Arabic news tweets; 2) The refinement of ML models through an enhanced Convolutional Neural Network (ECNN) equipped with N-gram feature maps for accurate rumor identification; 3) The augmentation of decision-making precision in rumor verification via sophisticated ensemble learning techniques. In the first phase, the research meticulously develops a methodology for the collection and pre-processing of Arabic news tweets, aiming to establish a dataset optimized for rumor detection analysis. Leveraging a blend of automated and manual processes, the research navigates the intricacies of the Arabic language, enhancing the dataset’s quality for ML applications. This foundational phase ensures removing irrelevant data and normalizing text, setting a precedent for accuracy in subsequent detection tasks. The second phase is to develop an Enhanced Convolutional Neural Network (ECNN) model, which incorporates N-gram feature maps for a deeper linguistic analysis of tweets. This innovative ECNN model, designed specifically for the Arabic language, marks a significant departure from traditional rumor detection models by harnessing the power of spatial feature extraction alongside the contextual insights provided by N-gram analysis. Empirical results underscore the ECNN model’s superior performance, demonstrating a marked improvement in detecting and classifying rumors with heightened accuracy and efficiency. The culmination of the study explores the efficacy of ensemble learning methods in enhancing the robustness and accuracy of rumor detection systems. By synergizing the ECNN model with Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Gated Recurrent Unit (GRU) networks within a stacked ensemble framework, the research pioneers a composite approach that significantly outstrips the capabilities of singular models. This innovation results in a state-of-the-art system for rumor verification that outperforms accuracy in identifying rumors, as demonstrated by empirical testing and analysis. This research contributes to bridging the gap between English-centric language models and Arabic language processing, demonstrating the importance of tailored approaches for different languages in the field of ML and NLP. These contributions signify a monumental step forward in the field of Arabic NLP and ML and offer practical solutions for the real-world challenge of rumor proliferation on social media platforms, ultimately fostering a more reliable digital environment for Arabic-speaking communities.
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    “The Status Knowledge of Blockchain Technology Potentials to Build Robust and Resilient Supply Chain in the Construction Industry in Saudi Arabia”
    (University of South Australia, 2024-06) Alqahtani, Nawaf; Ranawalage, Udara Ranasinghe
    The construction industry is a major economic sector in Saudi Arabia's economy. The sector is increasingly becoming one of the largest industries. However, the industry encountered many issues ranging from low production and inefficiencies in the supply chain management to lacking digitalisation, transparency, and traceability. Blockchain Technology has emerged as a practical and strategic solution offering the extraordinary potential to revolutionise the traditional supply chain and resolve the construction industry issues. The application of BCT in the SCM is rarely examined in Saudi Arabia. This study aims to evaluate BCT's knowledge level and understanding of the construction industry supply chain in Saudi Arabia. This qualitative study used a pre-set open-ended questionnaire to collect data from ten employees working in the supply chain of construction companies in Saudi Arabia. Using criteria of four levels of knowledge, the content analysis suggests a high level of blockchain knowledge among the participants. The findings show that all the participants either have some knowledge, heard about it or have good knowledge and understanding of the potential and benefits of BCT. Some participants took training related to BCT, but all showed great interest in receiving training that will help prepare them for adopting BCT. However, the study found that Saudi Arabian construction companies face organisational and technical challenges that deter or delay adopting BCT. Additionally, the study found that construction companies do not have the resources to implement BCT in the supply chain including financial, physical, intellectual, human, and digital expertise. The study concludes that despite the employees’ good knowledge and excitement for adopting BCT, given resources unavailability, it seems there will be no widespread adoption of BCT in the Saudi Arabia construction companies' supply chain in the short run. The findings will help the Ministry of Industry, construction companies and association, and contribute to filling a gap in the academic literature.
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    Exploring Professional Identity and Academic Motivation in Paramedicine
    (Monash University, 2024-08) Alotaibi, Monther; Bowles, Kelly; Williams, Brett
    Background: The evolution of the paramedic profession necessitates an understanding of the factors influencing professional identity and academic motivation among paramedic students. This study aims to explore the relationship between these two constructs within a cohort of undergraduate paramedicine students. Methods: A cross-sectional study design was utilized. Data were collected via an online survey using the Academic Motivation Scale (AMS) and the Macleod Clark Professional Identity Scale (MCPIS-9). Descriptive statistics and Spearman’s rank correlation were used to analyze the data. Results: Total of 47 participants completed the survey. Significant positive correlations were found between professional identity and extrinsic motivation-identified regulation (Spearman’s rho = 0.495, p < 0.001). Conversely, a significant negative correlation was observed between professional identity and amotivation (Spearman’s rho = -0.524, p < 0.001). Multiple linear regression analyses identified that neither gender, level of study, past experience, nor having relatives in healthcare significantly predicted professional identity scores. Conclusions: This study underscores the importance of fostering a strong professional identity in paramedic students to enhance their academic motivation. Educational strategies that support professional identity development could lead to more motivated and better-prepared healthcare professionals. Further research is needed to explore the mechanisms underlying these relationships and to develop targeted interventions that can be implemented across educational settings.
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    Understanding Patients' Perceptions of Social Support Features on Social Media and its Effects on Behaviour Change
    (University of Wollongong, 2024-04) Basahal, Suliman Mabrouk; Win, Khin
    Social media has become one of the most effective tools that diabetic patients increasingly use to adopt healthy behaviour in recent times. It has grown into one of the most social media platforms that diabetic patients gradually use to adopt healthy behaviour in the latest times. However, social support features on social media groups have significantly improved diabetic life, illustrating its practical impact on meeting diabetic patients' requirements. Exchanging social support features such as” Informational, emotional, belonging, and instrumental” in social media groups have played a remarkable role in maintaining diabetic conditions. Many studies covered Facebook's role in enhancing diabetic life, illustrating its practical effect on meeting diabetic patients' needs. Based on the latest update within the literature, there is a need to investigate the role of social support groups on social media and their role in changing patient behaviour. Recent studies do not present this appropriately, mainly when they refer to social media as a primary tool to identify patient behaviour change. Therefore, this research aims to fill the gaps in this area by focusing on patients' perceptions of social media usage to change patients' health behaviour regarding social support groups on social media. The research aims to understand patient perceptions of social support features on social media and its effects on their behaviour change. Mix method research composed to generate three main results chapters. First, the study started with a Delphi study to develop and validate a robust instrument that adequately captures the properties of the key constructs, domains, and relevant items required to study the role of social support features on diabetic Facebook groups and their effect on behaviour change. Second, the quantitative result is a crosssectional design that involves carrying out an online-based questionnaire, which is considered an appropriate design for such a study. In other words, this research conducted an online questionnaire to understand what patients believe about the role of social media in empowering social support aspects among virtual societies to encourage them to promote their health by changing unhealthy habits and adopting healthy behaviour. Third, the study conducted interviews with 12 diabetic patients who have experience with such social support groups on diabetes Facebook groups. It is an unstructured interview focused on patients’ free expression and their beliefs and experiences of diabetes Facebook groups. To validate an instrument to identify and measure diabetic patient perceptions of social support features on Facebook and their impact on behaviour change. An E-Delphi study was conducted, and 15 health and Information technology experts were involved. Two rounds have been completed, including 15 experts for round one and 12 experts for round two, to validate the new instrument that includes 57 items. The last instrument version involves 45 items with overall acceptable scale values, “relevance = 0.910, clarity = 0.900, and Importance = 0.862”, presenting an acceptable validity level for this novel instrument. However, further study must be conducted to validate the instrument developed in an empirical study. A cross-sectional survey collected a total of 339 questionnaires from Diabetic Facebook group users, 161 of which were included in the model analysis. SPSS was used for clearing and descriptive analysis, and a partial least square structural equation modelling (PLS-SEM) used SmartPLS (Version 4.0.7.8) to analyze the measurement model and structural model tests for the study model “Developed Framework”. The results show that diabetes Facebook group users got helpful information “Content and 2 Source”, which indicates an enhancement in their awareness of diabetes disease, leading them to increase motivation to use such these groups, which led to growth in diabetes patients’ behaviour change. The research outcome states that there is a solid and positive impact on users’ behaviour change when they use diabetes Facebook groups. There was a positive relationship between users’ “Awareness, Instrumental Support, Ease of Use, Privacy Risk, and Usefulness” and their Motivation to use diabetes Facebook groups. There were no statistically adequate Emotional Support and Belonging Support on usage Motivation to use diabetes Facebook groups. The primary purpose of this qualitative part is to deeply understand the diabetic patient's perceptions of social support features on Facebook and how to utilize such technology to deal with this chronic disease, followed by its effect on behaviour change. A qualitative study was conducted at DFGs with 12 Arab members who had previously done the questionnaire and agreed to endure doing the online interview. The study was conducted to learn more about how they utilized the group "Facebook" pages' social support elements in detail. The collected data was analyzed using thematic approaches. Twelve interview transcripts were uploaded and analyzed using NVivo 12 software. The results show that DFGs have played a remarkable role in changing patient behaviour in their eating and practising habits. This study’s findings showed that the developed framework could explain customers' motivation to use diabetic Facebook groups, leading them to change their behaviour. In the end, the study afforded ideas and recommendations for further study and the implications of its study outcomes.
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    Project Proposal for Translational Research Grants Scheme – Expression of Interest" (“Project Proposal for Translational Research Grants: Health - Course Hero”)
    (westren sydney univirsity, 2024) Alanazi, Nader; Atlantis, Evan
    This research project aims to evaluate the impact of sports participation on the mental health and social outcomes of young Aboriginal and Torres Strait Islander girls in New South Wales. Aligning with the Future Health Strategic Framework 2022-2032, the study addresses the critical need for culturally appropriate interventions to improve Indigenous youth wellbeing. Using a mixed-methods approach, including surveys, interviews, and community consultations, the project will assess the effectiveness of targeted sports programs in enhancing social and emotional wellbeing. Key partners, including NSW Aboriginal Education Consultative Group and local health districts, will be engaged to ensure cultural sensitivity and facilitate implementation. The study will measure outcomes such as self-esteem, social connectedness, and mental health indicators. Findings will inform evidence-based strategies for scaling successful interventions across the NSW health system, potentially leading to improved health outcomes and reduced disparities for Indigenous youth. This translational research aims to bridge the gap between evidence and practice, contributing to the development of sustainable, community-driven health initiatives for Aboriginal and Torres Strait Islander communities
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