Awareness and utilization of urgent care services among patients attending Al-Wazarat PHCC in Riyadh, Saudi Arabia 2020
Notice bibliographique
Résumé
Background: Urgent Care Clinics (UCCs) offer unscheduled appointments with a "treat and release" length of visits not exceeding 60 min. The growth of clinics is dictated by patients' demand for quality care that is unscheduled, expedited, and ubiquitous, making them accessible and available. Objectives: This study aimed to assess the patient's level of awareness and utilization pattern of UCCs in Wazarat Health Care Center (WHCC) and assess factors associated with them. Aim: This study aims to provide information contributing to the support of decision-makers about the level of awareness among patients on urgent care services and their pattern of use within primary health care. Methods: This cross-sectional study included 288 patients visiting PHC clinics to measure their level of awareness and pattern of utilization using a self-administered questionnaire. Results: A total of 288 patients participated, 55.99% were females, and the highest percentage was in the age group of 18-38 years at 60.07%. Only one quarter, 73 (25.35%) of the patients were aware of the term urgent clinics, from them, more than a half (53.42%) visited such clinics 1-3 times in the three months before the time of study conduction, and the main cause of the visits was the common cold (25.76%). Less than half of the participants reported visiting the primary clinics without booking an appointment in advance at 44.79%. The reason for this was mainly because of having difficulty booking appointments at 54.55%. Awareness level was the highest (28.32%) among the lowest age group (18-38 years) and decreased gradually by increasing the age. A significantly higher percentage of low educational level participants reported visiting primary clinics without booking an appointment in advance at 51.33% vs. 37.68% of the university and above participants. According to patients ' income, there was a significant (0.023) difference in the awareness level; the highest was among participants with an income of 6000-12000 SAR at 32.86%. Conclusion: Only one-quarter of the studied patients know about the UCCs. More than half of the patients reported visiting these clinics because of difficulties in booking an appointment at the primary healthcare centers and convenience with the services provided at the UCCs. The common cold was the main reason for visiting the UCCs.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 ».