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Record W4400178136 · doi:10.1080/07481187.2024.2353974

The first casualty of COVID-19 for patients nearing death was human dignity: Understanding the experience of palliative care patients during the COVID-19 pandemic

2024· article· en· W4400178136 on OpenAlexafffundabout
Salina Pirzada, Kelsey Papineau, Lily Pankratz, Gagan Gill, Jennifer Hensel, Kristin Reynolds, Shay‐Lee Bolton, Tim Hiebert, Kendiss Olafson, Renée El‐Gabalawy, Christian La Rivière, Maia S. Kredentser, Harvey Max Chochinov

Bibliographic record

VenueDeath Studies · 2024
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsCancerCare ManitobaMcGill UniversityUniversity of Manitoba
FundersResearch Manitoba
KeywordsCoronavirus disease 2019 (COVID-19)Pandemic2019-20 coronavirus outbreakDignitySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)BetacoronavirusMedicinePalliative careCoronavirus InfectionsMedical emergencyVirologyNursingDiseasePolitical scienceOutbreakInfectious disease (medical specialty)Pathology

Abstract

fetched live from OpenAlex

The COVID-19 pandemic changed the way people lived, but also the way they died. It accentuated the physical, psychological, social, and spiritual vulnerabilities of patients approaching death. This study explored the lived experience of palliative inpatients during the pandemic. We conducted interviews with 22 palliative inpatients registered in a Canadian urban palliative care program, aimed to uncover how the pandemic impacted participants' experiences of approaching end-of-life. The reflexive thematic analysis revealed 6 themes: putting off going into hospital, the influence of the pandemic on hospital experience, maintaining dignity in care, emotional impact of nearing death, making sense of end-of-life circumstances and coping with end-of-life. Findings highlight the vulnerability of patients approaching death, and how that was accentuated during the pandemic. Findings reveal how the pandemic strained, threatened, and undermined human connectedness. These lived experiences of palliative inpatients offer guidance for future pandemic planning and strategies for providing optimal palliative care.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.320
GPT teacher head0.438
Teacher spread0.118 · 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.

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

Citations1
Published2024
Admission routes3
Has abstractyes

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