Health Advice Provided to Hostelers from Australia: Influence of a Travelers' Information Evening
Notice bibliographique
Résumé
BACKGROUND: Little is known about the health advice provided to hostelers and the role and influence of hosteling organizations' travelers' information evenings in giving travel health advice. This study was designed to investigate these in relation to the Australian context. METHODS: In 1997, hostelers attending travelers' information evenings in two regional centers and one metropolitan location in Queensland were asked to complete self-administered questionnaires. RESULTS: Of 158 questionnaires, 110 (69.6%) were returned. Missing data have been excluded from the analysis. About two-thirds of the hostelers attending the travelers' information evening reported being age 35 years or younger (43/65, 66.2%). Almost two-thirds of attendees were female (42/65, 64.6%). The hostelers responding to this study were fairly evenly divided between regional centers (54/110, 49.1%) and the metropolitan center (56/110, 50.9%). Hostelers indicated that they were traveling to Europe and the United Kingdom (53/62, 85.5%), Canada (17/62, 27.4%), Asia (15/62, 24.2%), United States (10/52, 19.2%), and other destinations (7/51, 13.7%), mostly Africa. Hostelers were significantly more likely to have obtained travel health advice (x = 5.02, df = 1, p <.05) if they were traveling within 6 weeks. Hostelers indicated that they obtained advice from general practitioners (41/67, 61.2%), travel agents (29/67, 43.3%), books (22/67, 32.8%), travel clinics (10/67, 14.9%), and other sources (6/67, 9.0%). Most hostelers indicated that they learnt something new about healthy travel from the travelers' information evening (76/100, 76.0%). Of those hostelers who had not sought travel health advice or who had not planned to seek travel health advice prior to the travelers' information evening, almost all indicated that they now would seek travel health advice (32/33, 97.0%). CONCLUSIONS: This cross-sectional study found that most hostelers attending an international hosteling organization's travelers' health information session in Australia were in the younger age groups and were predominantly female. Most of these hostelers had sought travel health advice from general practitioners, travel agents, and books. The information provided by the healthy travel session of the travelers' information evenings appeared to be of some benefit to hostelers, particularly as it appeared to have prompted most hostelers who had not yet sought travel health advice to do so.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».