MétaCan
Menu
Back to cohort
Record W2104778134

Delay to orthopedic consultation for isolated limb injury: cross-sectional survey in a level 1 trauma centre.

2009· article· en· W2104778134 on OpenAlexaffabout
Dominique M. Rouleau, Debbie Ehrmann Feldman, Stefan Parent

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsOrthopedic surgeryMedicineReferralOrthopedic traumaCross-sectional studyPhysical therapyRehabilitationTrauma surgeryProspective cohort studyEmergency medicineFamily medicineSurgery
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe referral mechanisms for referral to orthopedic surgery for isolated limb injuries in a public health care system and to identify factors affecting access. DESIGN: Cross-sectional survey. SETTING: Orthopedic surgery service in a level 1 trauma centre in Montreal, Que. PARTICIPANTS: We conducted a prospective study of 166 consecutive adults (mean age 48 years) referred to orthopedic surgery for isolated limb injuries during a 4-month period. MAIN OUTCOME MEASURES: Self-reported data on the nature of the trauma, the elapsed time between injury and orthopedic consultation, the number and type of previous primary care consultations, sociodemographic characteristics, and the level of satisfaction with care. RESULTS: Average time between the injury and orthopedic consultation was 89 hours (range 3 to 642), with an average of 68 hours (range 0 to 642) for delay between primary care consultation and orthopedic consultation. A total of 36% of patients with time-sensitive diagnoses had unacceptable delays to orthopedic consultation according to the Quebec Orthopaedic Association guidelines. Lower limb injury, consulting first at another hospital, living far from the trauma centre, patient perception of low severity, and having a soft tissue injury were associated with longer delays. CONCLUSION: Identifying gaps and risk factors for slower access might help improve referral mechanisms for orthopedic consultation.

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)0.001
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 score0.269
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.092
GPT teacher head0.301
Teacher spread0.209 · 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

Citations3
Published2009
Admission routes2
Has abstractyes

Explore more

Same venuePubMedSame topicHealthcare Systems and TechnologyFrench-language works237,207