A Phenomenological and Clinical Description of Pandemic Grief: How to Adapt Bereavement Services?
Bibliographic record
Abstract
Background: Some studies suggest that individuals having lost a loved one during the COVID-19 pandemic report higher levels of grief reactions than people bereaved from natural causes. Little is known about the lived and subjective experience of individuals who lost a loved one under confinement measures. Aim: This research aims to provide a phenomenological description of pandemic grief (PG) that can be useful in clinical settings and bereavement services. Methods: Seventy-six qualitative phenomenological interviews have been conducted with 37 individuals who have lost a loved one during the first wave of the pandemic. Interpretative phenomenological analysis was performed following Tracy's criteria for rigorous qualitative research. Results: The experience of PG comprises clinical manifestations and can be described as "a type of grief occurring in the context of a pandemic, where applicable public health measures have precedence over end of life and caregiving practices as well as funeral rituals, overshadowing the needs, values, and wishes of the dying individuals and those who grieve them." Discussion/Conclusion: This study is the first to provide a phenomenological and experiential understanding of PG. Our phenomenological description can be helpful in clinical settings such as bereavement services within palliative care teams.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".