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Family caregivers’ compassion fatigue in long-term facilities

2010· article· en· W2289248215 on OpenAlex
Beth Perry, Janice E Dalton, Margaret Edwards

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNursing Older People · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsAthabasca University
Fundersnot available
KeywordsSadnessCompassionCompassion fatigueThematic analysisPsychologyNarrativeNursingFamily caregiversFamily memberMedicineClinical psychologyQualitative researchFamily medicineAngerBurnout

Abstract

fetched live from OpenAlex

AIM: The aim of this study was to explore the presence of compassion fatigue in family carers who assist staff with care of older relatives in long-term settings. METHOD: Narrative data were collected through observation and conversations with five purposively selected family carers. FINDINGS: Thematic and poetic analysis suggest that family carers exhibit symptoms associated in the literature with compassion fatigue in nurses and other healthcare professionals. Two major themes emerged: role engulfment and enveloping sadness. CONCLUSION: Nurses working in long-term care settings should educate family carers about compassion fatigue, recognise its presence in them and provide support to family carers experiencing the condition.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.424
Teacher spread0.355 · 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