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Record W2222739032 · doi:10.20529/ijme.2011.014

Bioethics and transnational medical travel: India, “medical tourism”, and the globalisation of healthcare

2011· article· en· W2222739032 on OpenAlexaffabout
Vivien Runnels, Leigh Turner

Bibliographic record

VenueIndian Journal of Medical Ethics · 2011
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsInstitute of Population and Public HealthUniversity of Ottawa
Fundersnot available
KeywordsMedical tourismHealth careBioethicsTourismGlobalizationBusinessPublic relationsEconomic growthPolitical scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Health-related travel, also referred to as "medical tourism" is historically well-known. Its emerging contemporary form suggests the development of a form of globalised for-profit healthcare. Medical tourism to India, the focus of a recent conference in Canada, provides an example of the globalisation of healthcare. By positioning itself as a low-cost, high-tech, fast-access and high-quality healthcare destination country, India offers healthcare to medical travellers who are frustrated with waiting lists and the limited availability of some procedures in Canada. Although patients have the right to travel and seek care at international medical facilities, there are a number of dimensions of medical tourism that are disturbing. The diversion of public investments in healthcare to the private sector, in order to serve medical travellers, perversely transfers public resources to international patients at a time when the Indian public healthcare system fails to provide primary healthcare to its own citizens. Further, little is known about patient safety and quality care in transnational medical travel. Countries that are departure points as well as destination countries need to carefully explore the ethical, social, cultural, and economic consequences of the growing phenomenon of for-profit international medical travel.

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)0.041
metaresearch head score (Gemma)0.034
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0410.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0040.013
Insufficient payload (model declined to judge)0.0020.000

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 head0.159
GPT teacher head0.472
Teacher spread0.312 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations24
Published2011
Admission routes2
Has abstractyes

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