Search for dissertations about: "sjukdomshantering"

Found 4 swedish dissertations containing the word sjukdomshantering.

  2. 1. Being creative and resourceful : Individuals’ abilities and possibilities for self-management of chronic illness

    Author : Åsa Audulv; Kenneth Asplund; Karl-Gustaf Norbergh; Karin Axelsson; Mittuniversitetet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Self-management; self-care; chronic illness; chronic disease; qualitative research; life conditions; beliefs and values; self-management integration; longitudinal; Egenvård; sjukdomshantering; kronisk sjukdom; kvalitativ forskning; livsvillkor; värderingar; egenvårds integrering; hantering; anpassning; Nursing; Omvårdnad;

    Abstract : Individuals’ self-management styles are crucial for how they manage to live with illness. Commonly investigated factors include social support, self-efficacy, health beliefs, and demographics. There is a gap in the literature with regard to in-depth studies of how those factors actually influence an individual’s self-management. READ MORE

  4. 2. Illness integration, self-management and patient-centred support in type 2 diabetes

    Author : Lena Jutterström; Åsa Hörnsten; Ulf Isaksson; Herbert Sandström; Unn-Britt Johansson; Umeå universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Type 2 diabetes; illness integration; turning points; self-management; patient-centredness; diabetes care; primary health care; intervention; randomised controlled study; omvårdnadsforskning med medicinsk inriktning; Caring Sciences;

    Abstract : Background: Type 2 diabetes is a serious disease that is increasing globally. The focus of diabetes care has been to prevent diabetes related complications and thereby reduce mortality. An older population, the disease progression and decreased ability to perform self-management activities increases the risk for complications. READ MORE

  5. 3. Illness Management and Recovery : Implementation and evaluation of a psychosocial program for schizophrenia and schizoaffective disorder

    Author : Rickard Färdig; Anders Fredriksson; Lewander Tommy; Lennart Melin; Lars Hansson; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; illness management and recovery; IMR; recovery; schizophrenia; schizoaffective; evidence-based; psychosocial; intervention outcome; neurocognition; remission; IMRS; psychometric properties; reliability; validity; Medical Science; Medicinsk vetenskap;

    Abstract : The aim of the present thesis was to examine the effectiveness of the Illness Management and Recovery (IMR) program for teaching clients with schizophrenia or schizoaffective disorder to better manage their illness and to promote recovery. This was accomplished through an examination of the program’s effects on psychosocial functioning and psychopathology, the evaluation of general and specific impact of neurocognition on learning the fundamentals of illness self-management, and the impact of symptom severity on outcome of the IMR program. READ MORE

  6. 4. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection

    Author : Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Internet of Medical Things; Patient-Centric Healthcare; Clinical Decision Support System; Predictive Modeling in Healthcare; Health Informatics; Healthcare analytics; COVID-19; Sepsis; COVID-19 Detection; Early Sepsis Detection; Lung Segmentation Detection; Medical Data Annotation Scarcity; Medical Data Sparsity; Medical Data Heterogeneity; Medical Data Security Privacy; Practical Usability Enhancement; Low-End Device Adaptability; Medical Significance; Interpretability; Visualization; LIME; SHAP; Grad-CAM; LRP; Electronic Health Records; Thermal Image; Tabular Medical Data; Chest X-ray; Machine Learning; Deep Learning; Federated Learning; Semi-Supervised Machine Learning; Multi-Task Learning; Transfer Learning; Multi-Modality; Natural Language Processing; ClinicalBERT; GAN; data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : This thesis presents a critical examination of the positive impact of Machine Learning (ML) and the Internet of Medical Things (IoMT) for advancing the Clinical Decision Support System (CDSS) in the context of COVID-19 and early sepsis detection.It emphasizes the transition towards patient-centric healthcare systems, which necessitate personalized and participatory care—a transition that could be facilitated by these emerging fields. READ MORE