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Record W4404905591 · doi:10.5770/cgj.27.755

Alternate Level of Care Patients in Canada: a Scoping Review

2024· review· en· W4404905591 on OpenAlexaffvenueabout
Mariano Maisonnave, Enayat Rajabi, Majid Taghavi, Peter T. Vanberkel

Bibliographic record

VenueCanadian Geriatrics Journal · 2024
Typereview
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsSaint Mary's UniversityDalhousie UniversityCape Breton University
Fundersnot available
KeywordsMedicineHealth careMedical emergencyNursing

Abstract

fetched live from OpenAlex

Background: There has been increasing concern over the growing number of Alternate Level of Care (ALC) patients in Canada who must wait in hospitals for more appropriate settings to meet their needs. ALC patients may have to stay in hospitals for days or months due to a lack of available long-term care capacity, home care services, or other discharge routes. Method: We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) method to review 35 papers on the topic of ALC patients and delayed discharge in Canada from different perspectives, including (1) the shared characteristics of ALC patients in Canada; and (2) their impact on the Canadian health-care system, medical staff, and family members. Furthermore, from the reviewed works, (3) we also investigate the factors that impact the length of the hospital stays. Results: We highlighted how the ALC problem is increasing healthcare costs, disrupting services, increasing waiting times, and compromising access to valuable resources. We found evidence suggesting that this far-reaching crisis affects the patients, their families, and the medical personnel. We discovered several logistical issues (such as access to long-term care) affecting the patient's hospital length of stay. Conclusions: Our research contributes to understanding this intricate problem, and helps policymakers take steps to tackle this challenge to ensure timely and appropriate care for all patients.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.516
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.146
GPT teacher head0.427
Teacher spread0.281 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations7
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Geriatrics JournalSame topicGeriatric Care and Nursing HomesFrench-language works237,207