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Record W2788697711 · doi:10.1177/1744987117753276

Family perceptions of care at the end of life in UK nursing care homes

2018· article· en· W2788697711 on OpenAlexaff
Julie Kinley, Jo Hockley, Louisa Stone, Kevin Brazil

Bibliographic record

VenueJournal of research in nursing · 2018
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMcMaster UniversityImpact
Fundersnot available
KeywordsEnd-of-life careNursingScale (ratio)MedicineTeamworkPerceptionFamily medicineHealth carePopulationFamily caregiversPalliative carePsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Over a fifth of the population of developed countries die in care homes. While studies are emerging on the outcomes of care in the last few weeks of life, few report on the experience as perceived by the family members. METHODS: As part of a wider study to improve the delivery of end-of-life care, bereaved relatives of residents who had died in a care home/hospital were sent the Family Perception of Care Scale questionnaire to evaluate their experience of care provision for their relative in the last month of life. The Family Perception of Care Scale questionnaire was posted to bereaved relatives, from 37 nursing care homes in south-east England, 3-6 months following the resident's death. The questionnaires were posted over a 14-month period from 1 October 2009 to 31 November 2010. RESULTS: A total of 869 questionnaires were posted, with a 42% response rate. A global question within the Family Perception of Care Scale looking at the overall satisfaction with the quality of end-of-life care (Q24) indicated that bereaved relatives were satisfied with the care provided. Qualitative responses from family members highlighted some excellent care, although issues in relation to medical input, professional teamwork, last days of life and spiritual care remain problematic. Results provide an important insight into care provision at the end of life within these care homes. CONCLUSION: While some issues can be addressed through education, relationships and value-based issues are likely to be more difficult to address in light of increasing pressure of healthcare support for UK care homes.

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)0.001
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 score0.310
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.193
GPT teacher head0.542
Teacher spread0.349 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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