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Record W3018402480 · doi:10.1177/1474515120918355

Life and priorities before death: A narrative inquiry of uncertainty and end of life in people with heart failure and their family members

2020· article· en· W3018402480 on OpenAlexaff
Anita Molzahn, Laurene Sheilds, Anne Bruce, Kara Schick‐Makaroff, Marcy Antonio, Alexander M. Clark

Bibliographic record

VenueEuropean Journal of Cardiovascular Nursing · 2020
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of VictoriaUniversity of Alberta
Fundersnot available
KeywordsNarrativeMedicineHeart failureEnd-of-life careNarrative inquiryQualitative researchPalliative careNursingSociologyCardiology

Abstract

fetched live from OpenAlex

BACKGROUND: Most patients with advanced heart failure are ill-prepared and poorly supported during the end of life. To date, research has focused primarily on generalized patient accounts of the management or self-care phase of the syndrome. Little research has examined the end of life in depth or from the perspectives of family members. AIMS: The purpose of this study is to describe how people diagnosed with heart failure and their family members describe uncertainty related to impending death. METHODS AND RESULTS: A narrative inquiry was undertaken using a social constructionist perspective. Twenty participants took part in over 60 interviews: 12 participants with heart failure (eight male and four female; mean = 67.3 years) and eight family members (mean = 61.6 years) engaged in two in-depth interviews, approximately 3-4 months apart, followed by a telephone follow-up 2-3 months later. Six key themes/storylines were identified. These included: prognosis messages received from physicians; whenever I die, I die; loss isn't new to me but … ; carrying on amidst the fragility of life; ultimately living not knowing; and the need to prepare. CONCLUSION: The six key storylines of death and dying with advanced heart failure were consistent for both patients and family members. There was a desire for better communication with physicians. Many participants were critical of how the prognosis of advanced heart failure was communicated to them, even if they anticipated the news. Participants wanted frank, open conversations with their healthcare providers that both acknowledged that they were at end of life but did not remove all hope.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.061
GPT teacher head0.302
Teacher spread0.242 · 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 designQualitative
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

Citations18
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Cardiovascular NursingSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207