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Record W3019251961 · doi:10.1186/s12992-020-00566-3

The north-south policy divide in transnational healthcare: a comparative review of policy research on medical tourism in source and destination countries

2020· review· en· W3019251961 on OpenAlex
Altaf Virani, Adam Wellstead, Michael Howlett

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGlobalization and Health · 2020
Typereview
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMedical tourismComparative researchGrey literatureLeverage (statistics)Health policyTourismHealth services researchPolitical scienceHealthcare policyHealth careNational PolicyPublic relationsRegional scienceEconomic growthPublic administrationSociologyInternational healthEconomicsSocial scienceMEDLINE

Abstract

fetched live from OpenAlex

Medical tourism occupies different spaces within national policy frameworks depending on which side of the transnational paradigm countries belong to, and how they seek to leverage it towards their developmental goals. This article draws attention to this policy divide in transnational healthcare through a comparative bibliometric review of policy research on medical tourism in select source (Canada, United States and United Kingdom) and destination countries (Mexico, India, Thailand, Malaysia and Singapore), using a systematic search of the Web of Science (WoS) database and review of grey literature. We assess cross-national differences in policy and policy research on medical tourism against contextual policy landscapes and challenges, and examine the convergence between research and policy. Our findings indicate major disparities in development agendas and national policy concerns, both between and among source and destination countries. Further, we find that research on medical tourism does not always address prevailing policy challenges, just as the policy discourse oftentimes neglects relevant policy research on the subject. Based on our review, we highlight the limited application of theoretical policy paradigms in current medical tourism research and make the case for a comparative policy research agenda for the field.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.883
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.312
GPT teacher head0.598
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