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Record W1984133381 · doi:10.1177/010740830902900107

Participation at Care Home Admission

2009· article· en· W1984133381 on OpenAlexfundno aff
Ingegerd Andersson, Elisabet Pettersson, Birgitta Sidenvall

Bibliographic record

VenueNordic journal of nursing research · 2009
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsFeelingOlder peopleNursingPerceptionPsychologyDutyControl (management)MedicineGerontologySocial psychology

Abstract

fetched live from OpenAlex

Background Moving into a care home is a difficult undertaking, and frail older people need support if they are to participate in decisions related to the moving process.Aim The aim of the present study on moving into a care home was to describe recently admitted older people's stated reasons for moving, as well as their experiences of participation in preparations and decisions. Furthermore, the aim was to study relatives' and home care managers ‘perceptions concerning the move and their own part in the moving process.Methods Interviews were carried out with 13 older people who had moved into a care home, their relatives (n=10) and home care managers (n=10).Findings The most frequently reported reasons for moving were insecurity and physical problems. Some older people and relatives felt the information was insufficient and three older people felt ‘left out’ with respect to their participation in the decision to move, but their home care managers were certain that they had participated.Conclusions Satisfaction with admission was related to the older person's experience of participation in decision-making and achieving a feeling of power and control. The duty of home care managers and nurses is to encourage older people to participate actively in the moving process and to give them rich information.

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)0.002
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 score0.829
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.205
GPT teacher head0.575
Teacher spread0.370 · 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

Citations3
Published2009
Admission routes1
Has abstractyes

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