No description available.

No description available.

Research on hate crime has tended to utilize sociological frameworks to best explain the incidence of such offending, but little research has been conducted to determine whether political factors may play a role. Although Olzak (1990) touched upon the relationship between racial violence and third-party politics during the American Progressive era (1882-1914), the research did not fully articulate how political competition may influence the commission of hate crime. The current study seeks to fill this gap, while also extending concepts associated with social disorganization theory and the defended communities perspective. It does so by utilizing a longitudinal research design to assess the impact of theoretical predictors and political competition measures on hate crime prevalence in counties across three states (Tennessee, Virginia & West Virginia) over a seven-year span (2010-2016).

No description available.

Road crashes pose a significant public health issue worldwide, often leading to severe injuries and fatalities. This dissertation embarks on a comprehensive examination of the factors affecting road crash severity, with a special focus on older drivers and the unique challenges introduced by the COVID-19 pandemic. Utilizing a dataset from Virginia, USA, the research integrates advanced statistical methods and machine learning techniques to dissect this critical issue from multiple angles. The initial study within the dissertation employs multilevel ordinal logistic regression to assess crash severity among older drivers, revealing the complex interplay of various factors such as crash type, road attributes, and driver behavior. It highlights the increased risk of severe crashes associated with head-on collisions, driver distraction or impairment, and the non-use of seat belts, specifically affecting older drivers. These findings are pivotal in understanding the unique vulnerabilities of this demographic on the road. Furthermore, the dissertation explores the efficacy of both parametric and non-parametric machine learning models in predicting crash severity. It emphasizes the innovative use of synthetic resampling techniques, particularly random over-sampling examples (ROSE) and synthetic minority over-sampling technique (SMOTE), to address class imbalances. This methodological advancement not only improves the accuracy of crash severity predictions for severe crashes but also offers a comprehensive understanding of diverse factors, including environmental and roadway characteristics. Additionally, the dissertation examines the influence of the COVID-19 pandemic on road safety, revealing a paradoxical decrease in overall traffic crashes accompanied by an increase in the rate of severe injuries. This finding underscores the pandemic's transformative effect on driving behaviors and patterns, heightening risks for vulnerable road users like pedestrians and cyclists. The study calls for adaptable road safety strategies responsive to global challenges and societal shifts. Collectively, the studies within this dissertation contribute substantially to transportation safety research. They demonstrate the complex nature of factors influencing crash severity and the efficacy of tailored approaches in addressing these challenges. The integration of advanced statistical methods with machine learning techniques offers a profound understanding of crash dynamics and sets a new benchmark for future research in transportation safety. This dissertation underscores the evolving challenges in road safety, especially amidst demographic shifts and global crises, and advocates for adaptive, evidence-based strategies to enhance road safety for all, particularly vulnerable groups like the older drivers. / Doctor of Philosophy / Road crashes are a major concern worldwide, often leading to serious injuries and loss of life. This dissertation delves into the critical issue of road crash severity, with a special focus on older drivers and the challenges brought about by the COVID-19 pandemic. Drawing on data from Virginia, USA, the research combines cutting-edge statistical methods and machine learning to shed light on this pressing matter. One important part of the research focuses on older drivers. It uses advanced analysis to find out why crashes involving this group might be more serious. The study discovered that situations like head-on collisions, driver distraction or impairment, and not wearing seat belts greatly increase the risk for older drivers. Understanding these risks is crucial in identifying the special needs of older drivers on the road. Then, the study explores the power of machine learning in predicting crash severity. Here, the research stands out by using innovative techniques to balance out the data, leading to more accurate predictions. This part of the study not only improves our understanding of what leads to severe crashes but also highlights how different environmental and road factors play a role. Following this, the research looks at how the COVID-19 pandemic has impacted road safety. Interestingly, while the overall number of crashes went down during the pandemic, the rate of severe injuries in the crashes that occurred increased. This suggests that the pandemic changed driving behaviors, posing increased risks especially to pedestrians and cyclists. In summary, this dissertation offers valuable insights into the complex factors affecting road crash severity. It underscores the importance of using advanced analysis techniques to understand these dynamics better, especially in the face of demographic changes and global challenges like the pandemic. The findings are not just academically significant; they provide practical guidance for policymakers and road safety experts to develop strategies that make roads safer for everyone, particularly older drivers.

No description available.

No description available.

La prise en charge efficace des maladies chroniques nécessite une implication accrue des patients dans la gestion de leurs soins et de leur état de santé. Le lien existant entre les caractéristiques organisationnelles de la 1ère ligne et la capacité des patients pour l’auto-soins étant peu documenté, l’objectif de ce mémoire est de mieux comprendre comment l’organisation de la 1ère ligne médicale peut influencer la capacité des personnes pour l’auto-soins d’une maladie chronique. Pour atteindre cet objectif, 776 patients atteints de maladie chronique ont été recrutés dans 33 cliniques ayant participé à une enquête organisationnelle. Ces patients ont répondu à un questionnaire sur l’auto-efficacité pour la gestion d’une maladie chronique à 0, 6 et 12 mois. Des analyses par régression hiérarchique à 3 niveaux ont permis de mesurer les liens entre les variables organisationnelles sélectionnées et la capacité perçue des patients pour l’auto-soins de leur maladie. Les résultats montrent que les caractéristiques organisationnelles ont peu d’effet sur l’auto-efficacité pour l’auto-soins en comparaison aux facteurs individuels, et que le soutien à l’auto-soins est peu présent dans les cliniques participantes sans égard à leurs attributs organisationnels. Bien qu’aucune des caractéristiques sélectionnées n’apparaisse significativement associée à l’auto-soins dans le modèle final, des associations significatives ont été observées en analyses bivariées. Ces résultats suggèrent que toutes les organisations de 1ère ligne doivent fournir un effort explicite pour mieux intégrer l’auto-soins dans les services de santé usuels et que la présence d’éléments organisationnels facilitateurs ne se traduit pas systématiquement par une provision accrue de soutien à l’auto-soins. / For effective chronic care, primary health care (PHC) organisations need to support the active engagement of patients in managing their condition. Since few studies have examined how organisational factors influence with patients’ ability for chronic illness self-management in the context of primary care, the primary objective of this research was to explore how PHC organisational attributes are associated with patients’ perceived ability for chronic illness self-management. To attain this goal, a sample of 776 adults living with a chronic illness was recruited in 33 PHC settings that had responded to an organisational survey. They were administered a questionnaire on self-efficacy for managing chronic disease at 0, 6 and 12 months. Three-level regression models measured the link between selected organisational PHC characteristics and patients’ perceived ability to manage their primary illness. Our results show that organisational factors exert little influence on patient’s confidence for chronic illness self-management compared to individual attributes, and that self-management support appears low in all primary care organisations regardless of their characteristics. None of the organisational attributes was significantly associated with self-efficacy after adjusting for the lower level variables, but significant bivariate relationships were observed. These results suggest that every type of PHC organisation should make explicit efforts to improve self-management support and that the presence of facilitating elements in their organisational configuration may not spontaneously translate into better provision of chronic disease self-management support and education.

Aims: Coronary Revascularization (CR) has increased patients' survival rate globally. However, the lack of a consensus definition of Health Related Quality of Life (HRQoL) and the different methodological and conceptual approaches adopted by researchers in the cardio-revascularization field create an incomplete picture of the influence of CR on individuals' HRQoL. By using mixed methodology, the current research aimed to explore Greek CHD patients' perspectives of their HRQoL after CR (Coronary Artery Bypass Grafting (CABG) or Percutaneous Coronary Interventions (PCI)), as well as detect and explain individual disparities. Method: Two studies were conducted with a total sample of 487 individuals: (1) The translation and validation of the Coronary Revascularization Outcome Questionnaire (CROQ) into Greek and (2) The longitudinal mixed methods study, the main study of the thesis, following a sequential explanatory design with two research components: a) the longitudinal quantitative component aimed to detect changes in patients' HRQoL (both overall and its subdomains) following CR over a 12-month period based on individuals' subjective evaluation as captured by the CROQ, detect the influence of CR type on the outcome and to explore potential predictors (individuals' demographic, clinical and behavioural features). Data were analysed using multilevel modelling; b) the qualitative component aimed to capture individuals' lived experience, their view and understanding of themselves and their life approximately 12 months after treatment using Interpretive Phenomenological Analysis (IPA). Results/findings: Based on participants' subjective evaluations as captured by the validated Greek version of the CROQ, one year after CR Greek Coronary Heart Disease (CHD) patients experience an increase in their HRQoL level compared to prior to CR. The pattern of change though is not constant; initially HRQoL increases with time, and then decreases again, however, remaining much greater compared to prior to CR one year after CR. Regarding the influence of the CR type of treatment on patients' HRQoL level, a year after CR mixed findings are revealed. In the symptoms and physical functioning subdomain, patients treated with CABG demonstrate a greater increase compared to patients treated with PCI. In the psychosocial functioning subdomain no difference is found. In the cognitive functioning subdomain, patients treated with CABG demonstrate a decline compared to their cognitive functioning prior to the CR. Various demographic, clinical and behavioural features are demonstrated to be predictors of the outcome though not consistent for all subdomains. The main predictors associated with larger positive changes following CR seem to be sex, BMI and smoking; females with low BMI that do not smoke tend to demonstrate a greater increase in HRQoL after CR. According to individuals' lived experience, participants, reflecting on their experience one year after treatment, perceive CR as a simple process and their negative experience is mostly related to medical care. Many participants with no symptoms or adverse effects tend to misperceive CHD, viewing their health condition as an acute disease treated with CR. Trying to understand disease causality they tend to adopt medical discourse especially in relation to stress as a factor that can be controlled by themselves and reflect on their own responsibility as a causal factor. Feeling grateful for being alive, sensing a different body, a 'revitalized body' as many participants suggest, as well as a fear of re-occurrence or disease progression motivate individuals to work on aspects of the self related to the CHD development in an effort to regain control over their life which has been reduced after the CHD diagnosis. In effect a dramatic change in how the self and life are viewed is reported, highlighting a positive growth; a greater appreciation of life, a personal growth and effort to build more meaningful relationships. Challenges that participants face in modification of their lifestyle are attributed to both external and internal factors. Concerning smoking participants' accounts point to a lack of knowledge regarding the relationship between smoking and CHD, a lack of support (by experts or family members) and conscious denial as a way to cope with every day anxiety and stress, but also a pleasure in everyday life. The findings provide a complementary insight into perceptions of individuals with CHD about their quality of life one year after CR, suggesting that other factors beyond CR may influence their perspectives. Conclusions/implications: This study highlights the benefits of using a mixed methods longitudinal design in exploring HRQoL. Both the quantitative and qualitative findings support the notion that HRQoL is a multidimensional, continuously changing concept, providing support for the Wold Health Organization's definition. Also, the findings suggest that CR has a positive influence on individuals' HRQoL. The effect of the CR type needs further investigation as mixed findings are observed in the present thesis. Moreover, it seems difficult to investigate the pure effect of CR on individuals' HRQoL without taking into consideration individuals' adjustment processes and positive growth triggered by the CR. The self regulation model (SRM) might be considered a useful theoretical framework for developing theory-based interventions aiming to alter patients' false beliefs since individuals' making-meaning process seems to be aligned with it. Finally, the complementary insights concerning smoking may help health care providers to develop smoking cessation interventions tailored to cardiac patients.

La prise en charge efficace des maladies chroniques nécessite une implication accrue des patients dans la gestion de leurs soins et de leur état de santé. Le lien existant entre les caractéristiques organisationnelles de la 1ère ligne et la capacité des patients pour l’auto-soins étant peu documenté, l’objectif de ce mémoire est de mieux comprendre comment l’organisation de la 1ère ligne médicale peut influencer la capacité des personnes pour l’auto-soins d’une maladie chronique. Pour atteindre cet objectif, 776 patients atteints de maladie chronique ont été recrutés dans 33 cliniques ayant participé à une enquête organisationnelle. Ces patients ont répondu à un questionnaire sur l’auto-efficacité pour la gestion d’une maladie chronique à 0, 6 et 12 mois. Des analyses par régression hiérarchique à 3 niveaux ont permis de mesurer les liens entre les variables organisationnelles sélectionnées et la capacité perçue des patients pour l’auto-soins de leur maladie. Les résultats montrent que les caractéristiques organisationnelles ont peu d’effet sur l’auto-efficacité pour l’auto-soins en comparaison aux facteurs individuels, et que le soutien à l’auto-soins est peu présent dans les cliniques participantes sans égard à leurs attributs organisationnels. Bien qu’aucune des caractéristiques sélectionnées n’apparaisse significativement associée à l’auto-soins dans le modèle final, des associations significatives ont été observées en analyses bivariées. Ces résultats suggèrent que toutes les organisations de 1ère ligne doivent fournir un effort explicite pour mieux intégrer l’auto-soins dans les services de santé usuels et que la présence d’éléments organisationnels facilitateurs ne se traduit pas systématiquement par une provision accrue de soutien à l’auto-soins. / For effective chronic care, primary health care (PHC) organisations need to support the active engagement of patients in managing their condition. Since few studies have examined how organisational factors influence with patients’ ability for chronic illness self-management in the context of primary care, the primary objective of this research was to explore how PHC organisational attributes are associated with patients’ perceived ability for chronic illness self-management. To attain this goal, a sample of 776 adults living with a chronic illness was recruited in 33 PHC settings that had responded to an organisational survey. They were administered a questionnaire on self-efficacy for managing chronic disease at 0, 6 and 12 months. Three-level regression models measured the link between selected organisational PHC characteristics and patients’ perceived ability to manage their primary illness. Our results show that organisational factors exert little influence on patient’s confidence for chronic illness self-management compared to individual attributes, and that self-management support appears low in all primary care organisations regardless of their characteristics. None of the organisational attributes was significantly associated with self-efficacy after adjusting for the lower level variables, but significant bivariate relationships were observed. These results suggest that every type of PHC organisation should make explicit efforts to improve self-management support and that the presence of facilitating elements in their organisational configuration may not spontaneously translate into better provision of chronic disease self-management support and education.