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Record W1971581404 · doi:10.1177/1468018110380003

Patients beyond borders: A study of medical tourists in four countries

2010· article· en· W1971581404 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlobal Social Policy · 2010
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsUniversity of Ottawa
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsMedical tourismHealth careAccreditationBusinessPublic healthChinaPublicityPromotion (chess)SubsidyEconomic growthPopulationMedicineNursingPolitical scienceEnvironmental healthMarketingMedical education

Abstract

fetched live from OpenAlex

This exploratory study assesses the experiences of medical travelers seeking out of country health care in four destination countries: India, China, Jordan and the United Arab Emirates. It aims to identify the source countries of medical travelers, to understand their reasons for seeking out-of-country care, the type of services they obtained, and their level of satisfaction with the experience. Cost, physician and facility reputation and hospital accreditation were ranked as the most important factors in choosing out-of-country care. Wait times at home or lack of access to care were important motivations for international medical travel. Patient assessment of treatment outcomes is as high as might be found in similar assessments in high-income country facilities. Certain forms of treatment sought by respondents (i.e. organ transplantation) raise specific ethical concerns. Also of concern is that the present health systems in all four countries fail to adequately meet the health needs of their population (notably poorer groups). Evidence and inference strongly suggest that access to health care for poorer groups will worsen in these countries as medical tourism increases, at least in the short term, raising generic ethical and policy challenges over the extent to which access to essential health care by poorer persons is compromised by the public subsidization or promotion of medical tourism.

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.

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)0.002
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 score0.231
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0010.001
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 head0.033
GPT teacher head0.487
Teacher spread0.453 · 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