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Record W4411086699 · doi:10.1080/07481187.2025.2514162

“There is no dignity in this”: Understanding the experience of families facing death of a loved one during the COVID-19 pandemic

2025· article· en· W4411086699 on OpenAlexafffundabout
Gagan Gill, Lily Pankratz, Salina Pirzada, Kelsey Papineau, Jennifer Hensel, James M. Bolton, Maia S. Kredenster, Renée El‐Gabalawy, Christian La Rivière, Tim Hiebert, Kendiss Olafson, Kristin Reynolds, Harvey Max Chochinov

Bibliographic record

VenueDeath Studies · 2025
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsCancerCare ManitobaUniversity of Manitoba
FundersResearch Manitoba
KeywordsDignityCoronavirus disease 2019 (COVID-19)Pandemic2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Death with dignityVirologyPsychologyMedicinePolitical scienceDiseaseOutbreakInfectious disease (medical specialty)LawPathology

Abstract

fetched live from OpenAlex

The COVID-19 pandemic changed every aspect of how families managed the experience of dying loved ones. This Canadian study enrolled 24 immediate family members of patients who died of any cause during the COVID-19 global pandemic. Participants were interviewed, exploring their experiences from before hospitalization to death and bereavement including dignity related concerns. A qualitative study design rooted in constructivist grounded theory methodology resulted in a unique grounded theory framework. Three critical stages related to experiences of death and dying were identified: navigating community support and healthcare services, end-of-life care and experiences, and living with down-stream effects of dealing with death. Four cross-cutting core themes emerged, including impacts of public health restrictions, overwhelmed healthcare system, emotional burden on family members, and navigating family relationships. In anticipation of future global health crises or circumstances that preclude family presence, our study informs strategies to support and care for those whose loved ones are going to die.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.565

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.220
GPT teacher head0.428
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2025
Admission routes3
Has abstractyes

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