Determinants of overall quality of life in people with advanced cancer
Notice bibliographique
Résumé
People diagnosed with cancer experience a life-altering circumstance consisting in a multitude of battles. Due to longer survival rates, patients, clinicians, and researchers are concerned with the Quality of Life of people living with cancer. This is even more prevalent in the case of advanced cancer, when cure is less probable. The study on which this thesis is based provides a comprehensive conceptual, measurement, and methodological strategy to the study of Quality of Life and its health-related predictors. People recently diagnosed with a variety of advanced cancers had different aspects of their health evaluated such as biological factors, symptoms, functions, general health perceptions, and Quality of Life. We first illustrated the limitations of using a statistical approach that is commonly done, stepwise regression. It was demonstrated that using several measures of the same constructs complicates analyses and interpretation. A detailed qualitative evaluation of the content validity of the main measure of Quality of Life followed. Choosing only one measure of Quality of Life, we then compared the use of several more appropriate statistical modeling approaches for the use of multicorrelated data as is the case of Quality of Life. To evaluate the relationship between and among constructs, a Structural Equation Modeling approach was completed. We improved the currently available approach by the use of Rasch measurement models within the structural model approach. We finally explored the temporal trend of Quality of Life over time from the time of diagnosis and predicted group membership to these trends with data from the diagnosis. As the study of Quality of Life is a sophisticated science, optimal measurement and statistical methodological approaches must be employed. Otherwise, improper conclusions may be drawn that could lead to ineffective interventions. Using appropriate measurement and statistical approaches, we established that social support and function, fatigue, psychological well-being, gastro-intestinal symptoms, physical and psychological function were important contributors to the Quality of Life of people with advanced cancer. Cancer patients and survivors are commonly left to struggle with a host of physical and emotional issues that remain even when the cancer is cured. Yet few patients have access to the appropriate services for their disabilities, activity limitations, and restrictions resulting for the disease or from its treatments. This thesis provides foundational work for the creation of evidence-based programs that could answer the needs of people with cancer.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».