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Record W4416633405 · doi:10.5334/ijic.apic3187

Experiences of Older Adults Living with Frailty Transitioning from Hospital to Home —A Qualitative Descriptive Study

2024· article· W4416633405 on OpenAlexaboutno aff
Jake Tran

Bibliographic record

VenueInternational Journal of Integrated Care · 2024
Typearticle
Language
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Independent livingQualitative researchActivities of daily livingHealth careDescriptive researchOlder peopleIndependence (probability theory)

Abstract

fetched live from OpenAlex

An Alternate Level of Care (ALC) patient is someone who occupies a bed in the hospital but does not require the intensive level of care in the hospital setting. In 2021, of the over 48,000 inpatients designated as ALC in Ontario hospitals, approximately 85% were older adults (over 65 years of age) living with frailty. Older adults living with frailty designated as ALC risk further decline while waiting to be transitioned to a more appropriate setting due to suboptimal care in the hospital. At the same time, there is a lack of support for older adults to maintain their safety and independence in the community. This study aims to understand the lived experience of older adults living with frailty and relevant health participants (caregivers, healthcare professionals, administrators) when transitioning from hospital to home. Through in-depth and open-ended interviews, this study focuses on the exploration and identification of key challenges, barriers, and facilitators of transition from the insiders’ perspectives in the context of Ontario Health Team. This sets the first steppingstone for future development of discharge and transition pathways that are patient-centred, effective, and practical, enabling older adults living with frailty to age safely and independently in their preferred environment.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.008
Scholarly communication0.0040.004
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.323
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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Same venueInternational Journal of Integrated CareSame topicFrailty in Older AdultsFrench-language works237,207