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Record W2904601810 · doi:10.5770/cgj.21.327

Building Capacity in Long-Term Care: Supporting Homes to Provide Intravenous Therapy

2018· article· en· W2904601810 on OpenAlexafffundvenueabout
Αλεξάνδρα Παπαϊωάννου, Afeez Abiola Hazzan, George Ioannidis, Denis O’Donnell, Daphne Broadhurst, Hrishikesh Navare, Loretta M. Hillier, Diane Simpson, Mark Loeb

Bibliographic record

VenueCanadian Geriatrics Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsOntario Clinical Oncology GroupHamilton Medical Research GroupMcMaster UniversityMcMaster University Medical CentreSt. Peter's Hospital
FundersHamilton Health Sciences FoundationHamilton Health Sciences
KeywordsMedicineIntravenous therapyTerm (time)Intensive care medicineLong-term careIntravenous fluidNursingAnesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: Typically, long-term care home (LTCH) residents are transferred to hospital to access intravenous (IV) therapy. The aim of this study was to pilot-test an in-home IV therapy service, and to describe outcomes and key informants' perceptions of this service. METHOD: This service was pilot-tested in four LTCH in the Hamilton-Niagara region, Ontario. Interviews were conducted with six caregivers of residents who received IV therapy and ten key informants representing LTC home staff and service partners to assess their perceptions of the service. A chart review was conducted to describe the resident population served and service implementation. RESULTS: Twelve residents received IV therapy. This service potentially avoided nine emergency department visits and reduced hospital lengths of stay for three residents whose IV therapy was initiated in hospital. There were no adverse events. The service was well received by caregivers and key informants, as it provided care in a familiar environment and was perceived to be less stressful and better quality care than when provided in hospital. CONCLUSION: IV therapy is feasible to implement in LTCHs, particularly when there are supportive resources available and clinical pathways to support decision-making. This service has the potential to increase capacity in LTCHs to provide medical care.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.072
GPT teacher head0.363
Teacher spread0.291 · 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

Citations5
Published2018
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Geriatrics JournalSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207