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International health electives: thematic results of student and professional interviews

2010· article· en· W1607752366 on OpenAlexaff
Andrew Petrosoniak, Anne McCarthy, Lara Varpio

Bibliographic record

VenueMedical Education · 2010
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsUniversity of OttawaUniversity of Toronto
Fundersnot available
KeywordsThematic analysisThematic mapMedical educationPsychologyMEDLINEPedagogySociologyMedicinePolitical scienceQualitative researchGeographySocial science

Abstract

fetched live from OpenAlex

OBJECTIVES: The purpose of this study was to explore the complexities (including harms and benefits) of international health electives (IHEs) involving medical trainees. This exploration contributes to the ongoing debate about the goals and implications of IHEs for medical trainees. METHODS: This qualitative study used anonymous, one-to-one, semi-structured interviews. All participants had previous international health experiences. Between September 2007 and March 2008, we interviewed a convenience sample of health care professionals (n=10) and medical trainees (n=10). Using a modified grounded theory methodology, we carried out cycles of data analysis in conjunction with data collection in an iterative and constant comparison process. The study's thematic structure was finalised when theme saturation was achieved. RESULTS: Participants described IHEs in both negative and positive terms. IHEs were described as unsustained short-term contributions that lacked clear educational objectives and failed to address local community needs. Ethical dilemmas were described as IHE challenges. Participants reflected that many IHEs included aspects of medical tourism and the majority of participants described the IHE in negative terms. However, a few participants acknowledged the benefits of the IHE. Specifically, it was seen as an introduction to a career in global health and as a potential foundation for more sustainable projects with positive host community impacts. Finally, despite similar understandings among participants, self-awareness of medical tourism was low. CONCLUSIONS: International health electives may include potential harms and benefits for both the trainee and the host community. Educational institutions should encourage and support structured IHEs for trainee participation. We recommend that faculties of medicine and global health educators establish pre-departure training courses for trainees and that IHE opportunities have sufficient structures in place to mitigate the negative effects of medical tourism. We also recommend that trainees be provided with opportunities to conduct self-reflection and critically assess their IHE experiences.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.036
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.036
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.042
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0100.007
Scholarly communication0.0050.004
Open science0.0020.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.448
Teacher spread0.426 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations88
Published2010
Admission routes1
Has abstractyes

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