Quality of Life of Patients with Advanced Cancer and Acquired Immune Deficiency Syndrome and their Family Caregivers
Notice bibliographique
Résumé
BACKGROUND: Although definitions of palliative care include quality of life as a central concern, little research has been published about both the quality of life of patients with advanced illness and their family members, and particularly the changes in their quality of life over time. OBJECTIVES: The aims of this prospective longitudinal pilot study were to: (1) establish the reliability of multidimensional quality of life instruments based on patients with acquired immune deficiency syndrome (AIDS) and patients with cancer and caregivers; (2) identify differences in quality of life between patients with advanced AIDS and cancer, and their family caregivers with consideration of mortality, attrition, and compliance rates; and (3) examine differences in demographic variables and their potential confounding effect when measuring quality of life. METHODS: The sample included 101 patients with advanced illness (63 patients with advanced AIDS and 38 with advanced cancer) and 81 family caregivers (43 caregivers for patients with AIDS and 38 caregivers for patients with cancer). Data collection involved the monthly completion of the McGill Quality of Life Questionnaire (MQOL) for patients, and the Quality of Life Scale (QLS) for family caregivers. RESULTS: Reliability of the MQOL and QLS were established for patients with AIDS and patients with cancer and caregivers. Based on the MQOL, patients with advanced AIDS reported a lower total quality of life, and lower psychological quality of life, and a higher physical quality of life compared to patients with advanced cancer. There were no significant differences between patient groups on the one-item physical well-being subscale, or the existential well-being, and support subscales. Based on the QLS, AIDS caregivers reported greater overall quality of life, greater psychological well-being, and greater spiritual well-be- ing than cancer caregivers. There were no significant differences between AIDS and cancer caregivers with respect to physical or social well-being. From baseline entry into the study to third month of participation, there were no significant changes in total quality of life scores for patient or caregiver groups, although trends indicated a moderately high total quality of life over time for all patient and caregiver groups. Fourteen of 63 (22%) patients with AIDS patients died, while 19 of 38 (50%) patients with advanced cancer died after enrollment. Forty-six of 63 (73%) patients with advanced AIDS withdrew for various reasons other than death at some point during the 12 month time frame of the study, while 15 of 38 (39%) patients with advanced cancer withdrew. There were significant differences on all demographic variables for patients with advanced cancer and AIDS. Only religious affiliation was significantly related to quality of life for patients with AIDS, while gender was the only variable associated with quality of life for patients with cancer. There were significant differences on all demographic variables between caregivers with the exception of gender and living arrangements. Only the relationship between patients and caregivers and marital status were significantly associated with quality of life for cancer caregivers. CONCLUSIONS: In palliative care research, the challenge is to design studies that will capture changes in the domains of quality of life over time, yet will minimize participant burden and subsequent attrition rates. By measuring quality of life as an outcome variable in palliative care, health professionals can identify changes in the domains of quality of life over time for various patient populations and their family caregivers, and respond with appropriate interventions, which promote or maintain their quality of life even as death approaches.
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 ».