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Record W3210134660 · doi:10.3917/rsi.146.0019

Recevoir un soutien aux capacités d’autosoins lors de la transition posthospitalisation en résidence pour aînés en perte d’autonomie : un besoin non comblé

2021· article· fr· W3210134660 on OpenAlexaffabout
Maude Dessureault, Clémence Dallaire

Bibliographic record

VenueRecherche en soins infirmiers · 2021
Typearticle
Languagefr
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsUniversité LavalUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPsychologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

INTRODUCTION: Elderly people who receive appropriate transitional care after hospitalization experience fewer complications. CONTEXT: However, in Quebec, transitional care for the elderly is limited to case management and targets elderly people who are in need of resources. This often excludes those who remain in homes for the elderly. OBJECTIVES: The objective of this study was to identify the unmet needs of elderly people during the posthospitalization transition to intermediate care facilities in Quebec, as well as the strategies they use on a daily basis to cope with these needs. METHODS: A descriptive qualitative study was conducted as part of an intervention research process. Eleven elderly participants and health professionals were recruited (n=11). RESULTS: The results presented suggest a need to support patients' capacity for self-care, unmet during the post-hospitalization transition to intermediate care facilities. DISCUSSION: Supporting the self-care abilities of elderly people can help ensure their safety when living in homes for the elderly. CONCLUSION: Supporting the capacity for self-care is an important component of transitional care after hospitalization, including for elderly people with disabilities.

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)0.008
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.440
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0020.001

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 head0.088
GPT teacher head0.381
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

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