MétaCan
Menu
Back to cohort
Record W2100215964 · doi:10.1186/1475-9276-12-2

Understanding the impacts of medical tourism on health human resources in Barbados: a prospective, qualitative study of stakeholder perceptions

2013· article· en· W2100215964 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

VenueInternational Journal for Equity in Health · 2013
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsSimon Fraser University
FundersCanadian Institutes of Health Research
KeywordsMedical tourismStakeholderPublic healthHealth careTourismThematic analysisHuman resourcesPrivate sectorBusinessGovernment (linguistics)Health services researchEconomic growthPublic sectorHealth administrationHealth policyQualitative researchPublic relationsMedicineNursingPolitical scienceSociologyEconomicsManagement

Abstract

fetched live from OpenAlex

BACKGROUND: Medical tourism is a global health practice where patients travel internationally with the intention of receiving medical services. A range of low, middle, and high income countries are encouraging investment in the medical tourism sector, including countries in the Caribbean targeting patients in North America and Europe. While medical tourism has the potential to provide economic and employment opportunities in destination countries, there are concerns that it could encourage the movement of health workers from the public to private health sector. METHODS: We present findings from 19 semi-structured interviews with stakeholders across the public health care, private health care, government, allied business, and civil society sectors. These interviews were conducted in-person in Barbados and via phone. The interview transcripts were coded and a thematic analysis developed. RESULTS: Three themes were identified: 1) Stakeholder perceptions of the patterns and plans for health human resource usage by current and planned medical tourism facilities in Barbados. We found that while health human resource usage in the medical tourism sector has been limited, it is likely to grow in the future; 2) Anticipated positive impacts of medical tourism on health human resources and access to care in the public system. These benefits included improved quality control, training opportunities, and health worker retention; and 3) Anticipated negative impacts of medical tourism on health human resources and access to care in the public system. These impacts included longer wait times for care and a shift in planning priorities driven by the medical tourism sector. CONCLUSIONS: Stakeholders interviewed who were connected to medical tourism expansion or the tourism sector took a generally positive view of the likely impacts of medical tourism on health human resources in Barbados. However, stakeholders associated with the public health system and health equity expressed concern that medical tourism may spread inequities in this country. The mechanisms by which observed negative health equity impacts in other countries will be avoided in Barbados are unclear. Continued study in Barbados and comparison with the regulatory frameworks in other countries is needed to help enhance positive and mitigate negative impacts of medical tourism on health human resources in Barbados. These findings will likely have import for other Caribbean nations investing in medical tourism and beyond.

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)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.142
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.513
GPT teacher head0.626
Teacher spread0.113 · 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