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Record W2110704334 · doi:10.1186/1744-8603-8-23

“I didn’t even know what I was looking for”: A qualitative study of the decision-making processes of Canadian medical tourists

2012· article· en· W2110704334 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGlobalization and Health · 2012
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Healthcare and Medical Tourism
Canadian institutionsSimon Fraser University
FundersCanadian Institutes of Health Research
KeywordsMedical tourismThematic analysisPublic relationsTourismQualitative researchHealth services researchPhoneHealth careMarketingBusinessPsychologyPublic healthMedicineSociologyPolitical scienceNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Medical tourism describes the private purchase and arrangement of medical care by patients across international borders. Increasing numbers of medical facilities in countries around the world are marketing their services to a receptive audience of international patients, a phenomenon that has largely been made possible by the growth of the Internet. The growth of the medical tourism industry has raised numerous concerns around patient safety and global health equity. In spite of these concerns, there is a lack of empirical research amongst medical tourism stakeholders. One such gap is a lack of engagement with medical tourists themselves, where there is currently little known about how medical tourists decide to access care abroad. We address this gap through examining aspects of Canadian medical tourists' decision-making processes. METHODS: Semi-structured phone interviews were administered to 32 Canadians who had gone abroad as medical tourists. Interviews touched on motivations, assessment of risks, information seeking processes, and experiences at home and abroad. A thematic analysis of the interview transcripts followed. RESULTS: Three overarching themes emerged from the interviews: (1) information sources consulted; (2) motivations, considerations, and timing; and (3) personal and professional supports drawn upon. Patient testimonials and word of mouth connections amongst former medical tourists were accessed and relied upon more readily than the advice of family physicians. Neutral, third-party information sources were limited, which resulted in participants also relying on medical tourism facilitators and industry websites. CONCLUSIONS: While Canadian medical tourists are often thought to be motivated by wait times for surgery, cost and availability of procedures were common primary and secondary motivations for participants, demonstrating that motivations are layered and dynamic. The findings of this analysis offer a number of important factors that should be considered in the development of informational interventions targeting medical tourists. It is likely that trends observed amongst Canadian medical tourists apply to those from other nations due to the key role the transnational medium of the Internet plays in facilitating patients' private 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.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.084
GPT teacher head0.508
Teacher spread0.423 · 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