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Record W2765896043

Canadians leaving the Canadian health care system to seek bariatric surgery abroad: Examining patient experience with international bariatric tourism

2017· dissertation· en· W2765896043 on OpenAlexaboutno aff
Carly Desiree Hohm

Bibliographic record

VenueSummit (Simon Fraser University) · 2017
Typedissertation
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTourismHealth careMedical tourismGeneral surgeryPolitical scienceSurgeryLaw
DOInot available

Abstract

fetched live from OpenAlex

Globally, bariatric surgery, commonly known as weight loss surgery, has grown in popularity among obese individuals as a means to addressing their weight-related negative health when more traditional weight loss programs, such as diet and exercise, fail to elicit long term sustained weight loss.In Canada, however, complex barriers related to social, administrative, and other structural factors restrict access to care domestically, leaving some patients turning to surgical options abroad through the practice of medical tourism.In light of this, it is important that we understand the implications the practice of 'bariatric tourism' may hold for Canadians.Using an interview-based approach with former Canadian bariatric tourists, this study examines the patient experience of bariatric tourism.The analyses highlight specific barriers that are motivating patients to seek care internationally and challenges experienced in care obtainment both internationally and domestically that appear to heighten the health and safety risks these patients undertake.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0180.004
Scholarly communication0.0050.001
Open science0.0020.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.312
Teacher spread0.285 · 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 designQualitative
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
Published2017
Admission routes1
Has abstractyes

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