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Record W1907448566 · doi:10.5430/jha.v4n5p84

Comparative study of perceptions of family members to the end-of-life care in residential care facilities and hospitals in Tampere, Finland

2015· article· en· W1907448566 on OpenAlexvenueno aff
Aino Lehmus, Lauri Seinelä, Jaakko Valvanne

Bibliographic record

VenueJournal of Hospital Administration · 2015
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsDignityMedicinePalliative careFamily medicineEnd-of-life careDementiaPsychological interventionLong-term careFamily memberQuality of life (healthcare)GerontologyNursingDiseaseInternal medicine

Abstract

fetched live from OpenAlex

Objective: Current trend in long-term care (LTC) is to bring the care to the place where the person lives and to avoid unnecessary transitions. The purpose of the study was to find out family members’ opinions about the quality of end-of-life care in LTC compared to care in hospitals.Methods: A postal questionnaire was sent to the family members of 168 residents, who had died during the year 2012 in LTC in Tampere, southern Finland.Results: A total of 97 family members (58%) returned the questionnaire. Eighty-two percent of the residents suffered from dementia. Family members seemed to be more satisfied with the care if the resident had died in LTC. Family members reported that residents who had died in LTC were more often kept clean (80% vs. 55%; p = .020), their dignity was maintained more often (84% vs. 56%; p = .021) and their wishes considering their care were acknowledged better (82% vs. 50%; p = .033) compared to the residents that died in a hospital. Residents who died in LTC suffered also less from agitation (32% vs. 60%; p = .047). The trend in the prevalence of other signs and symptoms and the prevalence of non-palliative interventions was lower, if the resident had died in LTC.Conclusions: Family members perceived the quality of end-of-life care given in residential care facilities to be at least as good, or, in some cases, better than the quality of end-of-life care given in a hospital.

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)0.000
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 score0.242
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.091
GPT teacher head0.407
Teacher spread0.316 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

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