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Record W2053531691 · doi:10.1089/153056204773644571

Telehomecare: A Comparison of Three Canadian Models

2004· article· en· W2053531691 on OpenAlexafffundabout
Nancy L. Young, Wendy Barden, Sandra LeFort, Cheri Nijssen‐Jordan, Carolyn Daniels, Marilyn Booth, Paul T. Dick, The Tele-Homecare Team

Bibliographic record

VenueTelemedicine Journal and e-Health · 2004
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsSickKids FoundationHospital for Sick Children
FundersHealth CanadaOntario Ministry of Health and Long-Term Care
KeywordsHealth careService delivery frameworkService providerNursingPopulationEquity (law)Focus groupBusinessMedicineService (business)Political scienceMarketingEnvironmental health

Abstract

fetched live from OpenAlex

The delivery of health care is often segmented into sectors. In Canada, hospital care has traditionally been distinct from community care, and thus the transition of patients across sectors has been challenging. This paper focuses on the systematic development of an integrated model of care for children, for the purpose of smoothing the transition from hospital to home. The new service model uses emerging telecommunications technology to link hospital care providers to patients at home and is termed "telehomecare" (THC). Independent models of THC were developed for three sites across Canada through semistructured interviews and focus groups. Participants included health care providers and administrators from the hospital and community, and patient families. The resulting models were compared using content analysis to determine whether there was a core model of THC that was generalisable across Canada. A core model of THC was identified that includes the use of videoconferencing to enable the integration of hospital- and community-based care to support patients during the initial stages of the transition to home. Each site also articulated unique characteristics in their service model that were related to the nature of their health care delivery system and patient population. This paper describes the core model of transitional care, presents a synopsis of each of the three models, and compares the models. THC provides opportunities to address limitations in the current system and to improve upon equity of access to quality care for children making the transition from hospital to home.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.105
GPT teacher head0.392
Teacher spread0.287 · 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

Citations20
Published2004
Admission routes3
Has abstractyes

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