Understanding Caregiver Quality of Life in Caregivers of Hospitalized Older Adults With Cancer
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: Caregivers of older adults with cancer assist both with cancer care and other health issues, which may make them vulnerable to consequences of caregiving. Hospitalization may represent a time when a caregiver's ability to provide care at home is exceeded. We sought to characterize caregivers of hospitalized older adults with cancer, determine their quality of life (QOL), and identify factors associated with caregiver QOL. METHODS: Patients (n = 100), aged 65 years and older, with an unplanned hospitalization and their caregivers were included. Caregivers completed a questionnaire about their health, social support, caregiving relationship, QOL (Caregiver Quality of Life Index-Cancer [CQOLC] tool), and patient function. Patient medical history was obtained via chart review. The association between patient, caregiving, and caregiver factors and CQOLC was determined using multivariate linear regression. RESULTS: Most patients (73%) had metastatic/advanced disease, and 71% received treatment for their cancer within 30 days of hospitalization. Median Karnofsky Performance Status (KPS) was 60%, and 89% required help with instrumental activities of daily living, as reported by caregivers. Median caregiver age was 65 years (range = 29-84 years). The majority (60%) had no major comorbidities and rated their health as excellent/good (79%), though 22% reported worsening health due to caregiving. Caregivers had a median Mental Health Inventory-18 score of 70 (range = 0-97), a median Medical Outcomes Study (MOS)-social activity score of 56 (range = 0-87.5), and a median MOS-Social Support Survey score of 68 (range = 0-100). Caregivers provided a median of 35 hours of care per week (range = 0-168 hours of care per week). Mean CQOLC was 84.6 ± 23.5. Lower caregiver QOL was associated with poorer caregiver mental health, less social support, and poorer patient KPS (P < .05). CONCLUSION: Caregivers of hospitalized older adults with cancer are older but generally in good health. Those with poorer mental health, less social support, and caring for patients with poorer performance status are more likely to experience lower QOL. J Am Geriatr Soc 67:978-986, 2019.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".