“Medical tourism will…obligate physicians to elevate their level so that they can compete”: a qualitative exploration of the anticipated impacts of inbound medical tourism on health human resources in Guatemala
Notice bibliographique
Résumé
BACKGROUND: Medical tourism, which involves cross-border travel to access private, non-emergency medical interventions, is growing in many Latin American Caribbean countries. The commodification and export of private health services is often promoted due to perceived economic benefits. Research indicates growing concern for health inequities caused by medical tourism, which includes its impact on health human resources, yet little research addresses the impacts of medical tourism on health human resources in destination countries and the subsequent impacts for health equity. To address this gap, we use a case study approach to identify anticipated impacts of medical tourism sector development on health human resources and the implications for health equity in Guatemala. METHODS: After undertaking an extensive review of media and policy discussions in Guatemala's medical tourism sector and site visits observing first-hand the complex dynamics of this sector, in-depth key informant interviews were conducted with 50 purposefully selected medical tourism stakeholders in representing five key sectors: public health care, private health care, health human resources, civil society, and government. Participants were identified using multiple recruitment methods. Interviews were transcribed in English. Transcripts were reviewed to identify emerging themes and were coded accordingly. The coding scheme was tested for integrity and thematic analysis ensued. Data were analysed thematically. RESULTS: Findings revealed five areas of concern that relate to Guatemala's nascent medical tourism sector development and its anticipated impacts on health human resources: the impetus to meet international training and practice standards; opportunities and demand for English language training and competency among health workers; health worker migration from public to private sector; job creation and labour market augmentation as a result of medical tourism; and the demand for specialist care. These thematic areas present opportunities and challenges for health workers and the health care system. CONCLUSION: From a health equity perspective, the results question the responsibility of Guatemala's medical education system for supporting an enhanced medical tourism sector, particularly with an increasing focus on the demand for private clinics, specific specialities, English-language training, and international standards. Further, significant health inequalities and barriers to care for Indigenous populations are unlikely to benefit from the impacts identified from participants, as is true for rural-urban and public-private health human resource migration.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,010 | 0,009 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».