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Record W2041752347 · doi:10.1503/cjs.048909

Comparison of public and private bariatric surgery services in Canada

2011· article· en· W2041752347 on OpenAlexafffundvenueabout
Allan R. Martin

Bibliographic record

VenueCanadian Journal of Surgery · 2011
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMedicinePrivate practiceLife expectancyGastric bypassHealth careFamily medicineObesitySurgeryPopulationWeight lossEnvironmental healthInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Surgical treatment of obesity is cost-effective and improves life expectancy. Roux-en-Y gastric bypass (RYGB) and adjustable gastric banding (AGB) are dominant surgical techniques, but RYGB is the only publicly insured procedure in all Canadian provinces. Private clinics currently offer AGB with minimal wait times. We sought to compare RYGB in public facilities with AGB in private clinics in terms of cost, wait times and certain aspects of patient care. METHODS: We conducted telephone interviews of all bariatric surgery providers across Canada (100% response rate). We asked about various aspects of care, such as wait time, cost, pre- and postoperative care and surgeon experience. RESULTS: The median out-of-pocket cost for AGB at private facilities is $16,000 (range $13,160-$18,375). Private clinics have much shorter wait times for AGB than public facilities do for RYGB (1 v. 21 mo, p < 0.001). Private clinics provide significantly fewer preoperative visits with multidisciplinary health professionals (2.7 v. 4.3, p = 0.045), and 5 of 12 (42%) private clinics conduct AGB surgeries without on-site critical care for high-risk (based on the respondents' definitions) patients. CONCLUSION: Private clinics performing AGB offer short wait times, but the cost is high. We found a great deal of variation between pre- and postoperative care among bariatric surgery facilities, and in some cases patient care appears to be less comprehensive. Our findings suggest that further research on obesity treatment is needed to inform policy so that all Canadians can have equitable and timely access to proven, evidence-based care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.935
Threshold uncertainty score0.471

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.006
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.081
GPT teacher head0.249
Teacher spread0.168 · 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 source (direct Gemma or distilled Codex), 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

Citations32
Published2011
Admission routes4
Has abstractyes

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