Patient and caregiver characteristics associated with caregiver burden in Parkinson’s disease: a palliative care approach
Bibliographic record
Abstract
BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disorder associated with caregiver burden. Higher rates of burden are associated with adverse outcomes for caregivers and patients. Our aim was to understand patient and caregiver predictors of caregiver burden in PD from a palliative care approach. METHODS: We conducted a cross-sectional analysis of baseline data from PD patients and caregivers in a randomized trial of outpatient palliative care at three study sites: University of Colorado, University of Alberta, and University of California San Francisco. The primary outcome measure of caregiver burden, the Zarit Burden Interview (ZBI), was compared against the following patient and caregiver variables: site of care, age, disease/caretaking duration, presence of atypical parkinsonism, race, income, education level, deep brain stimulation status, the Unified Parkinson's Disease Rating Scale (UPDRS) and Edmonton Symptom Assessment System Revised: Parkinson Disease (ESAS) for symptom severity and burden, the Montreal Cognitive Assessment (MoCA) for cognitive function, Quality of Life in Alzheimer's Disease (QOL-AD) scale for patient and caregiver perspectives on patient general quality of life, Parkinson's Disease Questionnaire 39 (PDQ-39) scale for health-related quality of life, Hospital Anxiety and Depression Scale (HADS) for patient and caregiver mood, Prolonged Grief Questionnaire, Functional Assessment of Chronic Illness Therapy- Spiritual Well-Being (FACIT-SP) of patient and caregiver, and Palliative Performance Scale for functional status. A stepwise multivariate linear regression model was used to determine associations with ZBI. RESULTS: A total of 175 patients (70.9% male; average age 70.7±8.1 years; average disease duration 117.2±82.6 months), and 175 caregivers (73.1% female; average age 66.1±11.1 years) were included. Patient spiritual well-being (FACIT-SP Faith subscale, r2=0.024, P=0.0380), patient health-related quality of life (PDQ-39, r2=0.161, P<0.0001), caregiver depression (HADS Depression, r2=0.062, P=0.0014), caregiver anxiety (HADS Anxiety, r2=0.077, P=0.0002), and caregiver perspective on patient quality of life (QOL-AD Caregiver Perspective, r2=0.088, P<0.0001) were significant contributors to ZBI scores. CONCLUSIONS: Patient and caregiver factors contribute to caregiver burden in persons living with PD. These results suggest targets for future interventions to improve caregiver support.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".