MétaCan
Menu
Back to cohort
Record W4396911789 · doi:10.12998/wjcc.v12.i15.2682

Differences between the healthcare systems of Quebec and France for the treatment of pain due to spinal disorders

2024· article· en· W4396911789 on OpenAlexaffabout
L. Boyer, Mathieu Boudier-Revéret, Min Cheol Chang

Bibliographic record

VenueWorld Journal of Clinical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversité de Montréal
FundersNational Research Foundation of KoreaNational Research Foundation
KeywordsMedicinePsychological interventionRadicular painPhysical therapyLow back painIntervention (counseling)Neck painHealth careSpinal manipulationFacet jointHealthcare systemPatient satisfactionAlternative medicineSurgeryNursingLumbar

Abstract

fetched live from OpenAlex

In Quebec, Canada, the public healthcare system offers free medical services. However, patients with spinal pain often encounter long waiting times for specialist appointments and limited physiotherapy coverage. In contrast, private clinics provide expedited care but are relatively scarce and entail out-of-pocket expenses. Once a patient with pain caused by a spinal disorder meets a pain medicine specialist, spinal intervention is quickly performed when indicated, and patients are provided lifestyle advice. Transforaminal epidural steroid injections are frequently administered to patients with radicular pain, and steroid injections are administered on a facet joint to control low back or neck pain. Additionally, medial branch blocks are performed prior to thermocoagulation. France's universal healthcare system ensures accessibility at controlled costs. It emphasizes physical activity and provides free physical therapy services. However, certain interventions, such as transforaminal and interlaminar epidural injections, are not routinely used in France owing to limited therapeutic efficacy and safety concerns. This underutilization may be a potential cause of chronic pain for many patients. By examining the differences, strengths, and weaknesses of these two systems, valuable insights can be gained for the enhancement of global spinal pain management strategies, ultimately leading to improved patient outcomes and satisfaction.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.155

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.068
GPT teacher head0.419
Teacher spread0.352 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueWorld Journal of Clinical CasesSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207