Health problems and health care seeking behavior among adult backpackers while traveling in Thailand
Notice bibliographique
Résumé
BACKGROUND: Health problems among travelers in developing countries are not uncommon. Little is known about the occurrence of health problems and their impacts among backpackers in Thailand. The objective of this study was to assess the health problems and the health seeking behavior among adult backpackers who visited Thailand. METHODS: This was a cross-sectional questionnaire-based study. Data were collected from foreign adult backpackers in Khao San Road, Bangkok. They were asked about their demographic data, health problems (if any), and health-care seeking behavior if they became ill. RESULTS: During May to July 2015, 420 backpackers were enrolled in this study. Of these, 51.4 % were male with a median age of 26.4 years. Up to 66.9 % were of European origin, while 17.4 % were North American. Fifty-eight percent sought pre-travel consultation before traveling. In this study, 10.2 % (43/420) of the participants reported at least health problem during travel. Most of them (79.1 %) had single episode of illness. Of this, diarrhea was the most common health problem (30.4 %), followed by abdominal pain (14.3 %), skin problems (8.9 %), respiratory problems (8.9 %), accident-associated injury (7.1 %), and febrile illness (7.1 %). One third of backpackers with health problems spontaneously recovered without any treatment, while nearly a quarter treated themselves with standby medication, and one in five had to buy over the counter medication. Just over 9 % of backpackers with a health problem sought medical care at a hospital. Among travellers with health problems, 72.1 % reported that their health problems did not significantly impact to their trip, while 23.3 % had to delay or postpone their trip for at least 1 day, and 4.7 % had to cancel some trip and/or activity. Longer duration of stay was significantly related to higher occurrence of health problems while traveling. CONCLUSIONS: Approximately 10 % of adult backpackers experienced some health problems during their trip in Thailand. Although most of their health problems were mild, up to 22 % of backpackers with health problems need to seek medical care either in a clinic or in a hospital.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».