Perception of the Health Surveillance Users on the Health Electronic Surveillance Network (HESN) of Saudi Ministry of Health
Notice bibliographique
Résumé
Background: Ministry of health in Saudi Arabia implemented a pioneer electronic health surveillance network in 2012. This advanced system is hoped to play an important role in the prevention and control for possible serious health events and facilitate other public health programs. Objective: To evaluate the perception of active HESN users on its performance as a surveillance system, identify its weaknesses and suggest practical recommendations for improvement. Methods: A complete list of 11324 HESN users was identified. Active user was defined as a user with minimum use of one single time for either immunization or investigation purposes and has a valid email contact. Out of 1535 active users, 700 participants were selected randomly, and a cross sectional study conducted. A pre-designed electronic questionnaire was sent via emails to all the participants. The response rate was (87%), of which the completed forms were 493 (81%). Results: Mean age was 36.89±9.11 (24-66 years), 57.8% were males, and 44.6% participants were Saudis. Riyadh and eastern province represented the highest two regions of participation; 93 (18.9%) and 70 (14.2%) respectively. about half of participants were nurses 251 (50.9%), whereas doctors composed nearly a quarter 123 (24.9%). There were (66.5%) who had experienced surveillance system and (23.9%) worked with electronic medical records. Majority (85.2%) underwent trainings and (92.2%) worked with outbreak investigation function of HESN. About (70.8%) were generally satisfied with HESN, and (41%) believed that HESN requires improvements. Those who use HESN several times a week are more satisfied (81.3%) than one-time users weekly (75.6%) (P=0.001). Internet speed has also a significant association with the general satisfaction level about HESN, (P<0.001). Users of Google chrome browser are happier (82.3%) than Firefox (78.7%) and Internet explorer users (72%). (P<0.001). There are (60.9%) of Arabs and (57.7%) Saudis who agree that HESN needs improvements, compared to only (42.9%) of non-Arabs (P<0.001). Conclusions: There is a general reasonable satisfaction level amongst HESN users. However, to ensure achieving the real awaited public health goals of HESN and increase the satisfaction level, there have to be certain and important improvements.
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 | 0,010 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 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 ».