Prolonged Grief and Bereavement Supports Within a Caregiver Population Who Transition Through a Palliative Care Program in British Columbia, Canada
Bibliographic record
Abstract
OBJECTIVE: To determine the prevalence of prolonged grief disorder (PGD), and self-reported resilience among bereaved caregivers within a palliative care program that serves a large region of the Lower Mainland in British Columbia, Canada. Additionally, to discern effective bereavement supports utilized by caregivers following the loss of a loved one. METHODS: A descriptive study using both quantitative and qualitative methods. Sociodemographic information (n = 427) was collected from bereaved caregivers 3 months after their loss. PGD and resilience were prospectively assessed 12 months post-loss using the prolonged grief scale (PG-13, n = 212) and brief resilience scale (BRS, n = 215), respectively. A qualitative thematic analysis was conducted on responses to the open-ended question on what bereavement services or activities caregivers found helpful in coping with the loss of a loved one. RESULTS: Of the 212 individuals that completed the PG-13, 4.7% met diagnostic criteria for PGD, 27.4% were moderate risk, and 67.9% were low risk for PGD. Of the 215 caregivers that completed the BRS, 48.4% had low resilience, 51.6% had normal resilience, and 0% had high resilience. The major themes of formal supports, informal supports, and self-care activities emerged from caregiver comments regarding effective bereavement supports. CONCLUSION: The incidence of PGD in caregivers is low within the Fraser Health Palliative Care program. Bereaved caregivers mainly utilize existing social networks and activities to cope with their loss. Focusing on a community-based approach to supports may improve bereavement experiences and lower rates of prolonged grief.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".