Burden and Depression Among Caregivers of Patients With Cancer at the End of Life
Notice bibliographique
Résumé
PURPOSE/OBJECTIVES: To examine the patient and family caregiver variables that predicted caregiver burden and depression for family caregivers of patients with cancer at the end of life. DESIGN: A prospective, longitudinal study was implemented with an inception cohort of patients and their family caregivers who were followed after the diagnosis and treatment of cancer. SETTING: Community oncology sites in the midwestern United States. SAMPLE: 152 family caregivers of patients with cancer who died during the course of the study. METHODS: Telephone interviews were conducted with patients at 6-8, 12-16, 24-30, and 52 weeks following diagnoses. In addition, patient medical records and state death certificates were reviewed. MAIN RESEARCH VARIABLES: Effect of caregiver age, gender, education, relationship to the patient, employment status, reports of patient symptoms, patient cancer type, stage of cancer, time from the patient's diagnosis to death, caregiver burden, and depression. FINDINGS: Caregivers aged 45-54 reported the highest levels of depressive symptoms, and caregivers aged 35-44 reported the strongest sense of abandonment. Caregivers who were the adult children of patients with cancer and those who were employed reported high levels of depressive symptoms. Feeling abandoned (a portion of caregiver burden) was more prevalent in female, nonspouse, and adult children caregivers, and adult children caregivers of patients with early-stage cancer and patients with multiple symptoms reported a high perception of disruption in their schedule because of providing care. Caregivers whose patients died early following diagnosis reported the highest depressive symptoms, burden, and impact on schedule. CONCLUSIONS: Caregivers reported levels of depression at thresholds for screening of clinical depression. The number of patient symptoms was related to levels of caregiver depressive symptoms. An association also was found between depression and employment status. Caregiver distress was not dependent on demands of care. IMPLICATIONS FOR NURSING: Very little research exists that prospectively analyzes family caregiver experiences of burden and depression when providing end-of-life cancer care for a family member. Interventions aimed at decreasing caregiver depressive symptoms should be targeted to caregivers who are middle-aged, adult children, and employed. Interventions aimed at decreasing the burden associated with feeling abandoned and having schedules disrupted while providing care should be targeted to caregivers who are female, nonspouse, and adult children, and caregivers of patients with early-stage cancer and multiple symptoms.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».