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Record W2773300555 · doi:10.12927/hcpol.2017.25320

Evaluating the Implementation of The Champlain BASE™ eConsult Service in a New Region of Ontario, Canada: A Cross-Sectional Study

2017· article· en· W2773300555 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealthcare policy · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsOttawa HospitalBruyère
Fundersnot available
KeywordsGeneralizability theoryCross-sectional studySpecialtyJurisdictionService (business)MedicineFamily medicineBusinessPsychologyMarketingPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVE: To replicate an existing electronic consultation (eConsult) service in a new jurisdiction to test its generalizability. METHODS: We conducted a cross-sectional study of all eConsults submitted by providers in the region of Mississauga Halton, Ontario, between January 5, 2015, and May 31, 2016. We compared our results to those from the original pilot in Eastern Ontario. The RE-AIM model served as our study framework. RESULTS: Providers submitted 594 patient cases to 46 different specialty groups during the study period. Specialists responded in a median of 1.1 days, with 75% of cases answered within four days. Providers rated the service as having high or very high value for themselves and their patients in 92% of cases. The service yielded a net program cost of $10,321.56. CONCLUSION: Our findings resembled those of the initial implementation, though with a faster rate of uptake and lower cost because of the avoidance of start-up and administrative costs.

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.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.132
GPT teacher head0.422
Teacher spread0.290 · 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