Burden and Depression Among Caregivers of Patients With Cancer at the End of Life
Bibliographic record
Abstract
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".