Indicators of Healthcare Services Utilization among the Syrian Refugee Population in Jordan: An Observational Study
Notice bibliographique
Résumé
BACKGROUND: Sufficient healthcare services utilization among the Syrian refugee population is one of the most important human rights. Vulnerable populations, such as refugees, are often deprived of sufficient access to healthcare services. Even when healthcare services are accessible, refugees vary in their level of utilization of these services and their health-seeking behavior. PURPOSE: This study aims to examine the status and indicators of healthcare service access and utilization among adult Syrian refugees with non-communicable diseases residing in two refugee camps. METHODS: The cross-sectional descriptive design was conducted by enrolling 455 adult Syrian refugees residing in the Al-Za'atari and Azraq camps in northern Jordan, using demographical data, perceived health, and the "Access to healthcare services" module, which is a part of the Canadian Community Health Survey (CCHS). A logistic regression model with binary outcomes was used to explore the accuracy of the variables influencing the utilization of healthcare services. The individual indicators were examined further out of 14 variables, according to the Anderson model. Specifically, the model consisted of healthcare indicators and demographic variables to find out if they have any effect on healthcare services utilization. RESULTS: Descriptive data showed that the mean age of the study participants (n = 455) was 49.45 years (SD = 10.48), and 60.2% (n = 274) were females. In addition, 63.7% (n = 290), of them were married; 50.5% (n = 230) held elementary school-level degrees; and the majority 83.3% (n = 379) were unemployed. As expected, the vast majority have no health insurance. The mean overall food security score was 13 out of 24 (±3.5). Difficulty in accessing healthcare services among Syrian refugees in Jordan's camps was significantly predicted by gender. "Transportation problems, other than fee problems" (mean 4.25, SD = 1.11) and "Unable to afford transportation fees" (mean 4.27, SD = 1.12) were identified as the most important barriers to accessing healthcare services. CONCLUSION: Healthcare services must imply all possible measures to make them more affordable to refugees, particularly older, unemployed refugees with large families. High-quality fresh food and clean drinking water are needed to improve health outcomes in camps.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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) | 0,000 | 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 ».