Knowledge, Attitude, and Practices Among Lebanese Obstetricians and Gynecologists With Respect to COVID-19 and Pregnancy
Notice bibliographique
Résumé
Background The COVID-19 pandemic has seriously disrupted the daily life of the general population, particularly the life of pregnant women. Since obstetricians and gynecologists (OBGYNs) are often the primary health care providers during pregnancy, they play a critical role in preventing and managing COVID-19 in their patients. Objective This study aimed to assess the knowledge, attitudes, and practices of OBGYNs with respect to COVID-19 and to identify existing gaps that need to be addressed to improve patient and occupational safety. Methods A cross-sectional study using a web-based survey was conducted among Lebanese OBGYNs during the rapid growth of the COVID-19 pandemic in Lebanon between October 20 and November 20, 2020. The analysis was performed using the SPSS software. Knowledge, attitude, and practice scores were computed. A good level of knowledge was considered when 80% of answers from the respondents were correct. Results A total of 279 OBGYNs participated in the survey, of whom 57% were men. The majority of OBGYNs (64.2%) were more than 45 years of age and married (79.9%) and had extensive work experience (70.3%). Only 28.3% were reluctant to provide medical care for patients with COVID-19. Most of them were afraid of contracting COVID-19 or transmitting COVID-19 contracted through occupational exposure to their family members and 42.3% felt overwhelmed. Of the OBGYNs, 62.7% considered the policies implemented by the Ministry of Public Health to be sufficient. The majority of OBGYNs had a good level of knowledge in different basic and specific domains related to COVID-19 and pregnancy. Furthermore, the practice score was good in all relevant aspects (personal, clinic, and patient). Conclusions The high knowledge and practice scores among Lebanese OBGYNs indicate a strong commitment from these physicians to fulfill their responsibilities toward themselves and their patients during the COVID-19 pandemic.
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 | 0,008 |
| 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 | 0,000 | 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 ».