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Record W3114832152 · doi:10.1093/geroni/igaa057.266

Supporting the Transition From Hospital to Home for Older Adults: Case Study Results

2020· article· en· W3114832152 on OpenAlexaffabout
Lori E. Weeks, Brittany Barber, Eileigh Storey MacDougall, Elaine Moody, Lexi Steeves-Dorey, Grace Warner, Marilyn Macdonald, Ruth Martin‐Misener

Bibliographic record

VenueInnovation in Aging · 2020
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsNova Scotia Health AuthorityDalhousie University
Fundersnot available
KeywordsNova scotiaNursingMedicineTransitional careHealth careFamily caregiversNursing homesFamily medicineHealth professionals

Abstract

fetched live from OpenAlex

Abstract It is often during transitions between health services that many issues arise for older adults, such as care that is poorly coordinated, additional burden placed on family and friend caregivers, and inappropriate placement in nursing homes. The Home Again program delivered by the provincial health authority in Nova Scotia, Canada, provides transitional care through providing additional support beyond what is normally provided through home care services to help older adults transition home after a hospital admission. The purpose of this research was to identify what factors contribute to older adults being placed unnecessarily in a nursing home when they could receive care through the Home Again program. Through using a retrospective multiple case study design, we analyzed interviews for five cases including older adult patients, their family or friend caregivers, and healthcare professionals in each case. Results indicate all hospitalized patients experienced a major health event or rapidly declining health. All family and friend caregivers experienced burnout and frustration from the lack of sufficient home care supports and quality of services available, such as services provided throughout the night. Healthcare professionals discussed that patients were placed on a waiting list for nursing homes due to lack of home care supports and resources for caregivers. This study contributes to our knowledge about better processes to ensure that hospitalized older adults are not unnecessarily admitted to nursing homes which can result in reduced healthcare costs and improved delivery and quality of care to older adults and their family and friend caregivers.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.042
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.042
GPT teacher head0.402
Teacher spread0.360 · 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 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

Citations2
Published2020
Admission routes2
Has abstractyes

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