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Record W1982429446 · doi:10.1017/s1478951512001034

The lived experience of family caregivers who provided end-of-life care to persons with advanced dementia

2013· article· en· W1982429446 on OpenAlexafffund
Shelley Peacock, Wendy Duggleby, Priscilla M. Koop

Bibliographic record

VenuePalliative & Supportive Care · 2013
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of AlbertaUniversity of Saskatchewan
FundersHealth CanadaUniversity of Saskatchewan
KeywordsDementiaEnd-of-life careFamily caregiversGerontologyMedicineTerminal carePalliative carePsychologyNursingInternal medicineDisease

Abstract

fetched live from OpenAlex

OBJECTIVE: Dementia is a terminal illness, and family caregivers play a vital role in providing end-of-life care to their relative. The present study begins to address the paucity of research regarding end-of-life caregiving experience with dementia. METHOD: This study utilized Munhall's methodology for interpretive phenomenology. Seven women and four men were interviewed two to three times within a year of their relative's death; interviews were transcribed verbatim and hermeneutically analyzed. RESULTS: Findings reveal two essential aspects of end-of-life dementia caregiving: being-with and being-there. Further findings are organized according to the existential life worlds. Examination of the life worlds demonstrates that 1) spatiality provided a sense or lack of feeling welcome to provide end-of-life care; 2) temporality was an eternity or time melting away quickly, or the right or wrong time to die; 3) corporeality revealed feelings of exhaustion; and 4) relationality was felt as a closeness to others or in tension-filled relationships. SIGNIFICANCE OF RESULTS: An understanding from bereaved caregivers' perspectives will help healthcare practitioners better support and empathize with family caregivers. Further research is warranted that focuses on other places of death and differences in experience based on gender or relationship to the care receiver.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.067
GPT teacher head0.371
Teacher spread0.304 · 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 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

Citations45
Published2013
Admission routes2
Has abstractyes

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