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Record W4311573457 · doi:10.1177/08404704221143300

Strength in the gap: A rapid review of principles and practices for urgent care centres

2022· review· en· W4311573457 on OpenAlexaffabout
Ponn Benjamin, Rhonda Bryce, Taofiq Oyedokun, James Stempien

Bibliographic record

VenueHealthcare Management Forum · 2022
Typereview
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsRoyal University HospitalUniversity of Saskatchewan
Fundersnot available
KeywordsStaffingGovernment (linguistics)Ambulatory careMedicineMedical emergencyHealth careNursingPolitical science

Abstract

fetched live from OpenAlex

Responding to a provincial government decision to develop two Urgent Care Centres (UCCs) in Saskatchewan, we undertook a rapid review of published literature with the objective of determining best practices for their creation and functioning. Two English-limited PubMed database searches combining "after-hours care," "ambulatory care," "emergency medicine," "urgent care," "minor emergency," "walk-in," and "Canada" over the past 10 years were the sources of articles for our review. Articles were independently reviewed by two authors and synthesized collaboratively. From 833 articles, 44 were utilized in the review. Six considerations in the following areas were subsequently outlined: expected impact, preferred location, healthcare services collaboration, available services, staffing priorities, and community partnerships. These principles were considered against the backdrop of currently successful Canadian UCCs. This review indicates that general principles for the successful development of UCCs exist; these may guide the establishment and functioning of UCCs both in Saskatchewan and elsewhere.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.877
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
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 head0.161
GPT teacher head0.436
Teacher spread0.274 · 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 designNot applicable
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

Citations6
Published2022
Admission routes2
Has abstractyes

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