Experiences and Expectations of Bereavement Contact among Caregivers of Patients with Advanced Cancer
Bibliographic record
Abstract
BACKGROUND: Contact with bereaved caregivers is not standard practice among cancer physicians, and little is known about its impact on caregivers. OBJECTIVE: Our aim was to describe the experiences and opinions of caregivers regarding bereavement contact from healthcare providers (HCP). DESIGN: Semistructured qualitative interviews were conducted with 61 bereaved caregivers. SUBJECTS: Bereaved caregivers of advanced cancer patients who had completed a randomized controlled trial of an early palliative care intervention were approached one to five years after the patient's death. Caregivers completed qualitative interviews from April 2012 to March 2015 after completion of quantitative measures. APPROACH: In semistructured interviews, bereaved caregivers were asked to describe the contact they received from HCP after the patient's death and their opinions about bereavement contact. We used thematic analysis informed by grounded theory to code and analyze the data. RESULTS: Of 60 caregivers included in the study, 30 (50%) received bereavement contact. There were no thematic differences between trial arms. The themes "contact reflects caring," "contact offers support," and "contact facilitates closure" were prominent among those who were contacted. "Contact is a courtesy," "contact is not always necessary," and "caregiver-initiated contact" were most evident among those who were not contacted. Overall, contact was appreciated by those who received it; for those who did not, reactions included rationalization, ambivalence, and regret. No negative consequences of contact were reported. CONCLUSIONS: Bereavement contact is well received and may be missed if not provided. These data support integration of bereavement contact into routine supportive care for caregivers.
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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 | 0.005 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".