Telehealth as a health education tool in the fight against the new Coronavirus: a systematic review
Notice bibliographique
Résumé
INTRODUCTION: The COVID-19 epidemic started in 2019, leading to a World Public Health emergency. As a result, the typical evaluation of patients was limited, resulting in an increased demand for virtual activities, making it necessary to use resources to reach the general population. Telehealth has been a tool widely used in this period to increase the resolution of Primary Care and provide the strengthening of health services and care provided to the population. OBJECTIVE: To analyze the effectiveness of telehealth in the educational health process in combating COVID-19. MATERIAL AND METHODS: The review was initiated by the acronym PECOS. The inclusion criteria were studies published in 2020, descriptive and complete. Exclusion criteria were duplicates, review articles, letters to the editor or articles that do not address the topic. The articles were published in Pubmed, Science Direct, Scopus and Web of Science databases. The StArt tool was used to manage the articles and Zotero, the reference manager. The selected articles underwent quality analysis and risk of bias, based on the Newcastle Ottawa checklist and were sent for data extraction. RESULTS: Several countries have applied telemedicine and obtained favorable results, even though telehealth activities cannot replace contact with the patient, it can serve to reduce the workload of health professionals and offer remote clinical services, such as diagnosis and monitoring. The tool enables case management, intermediate activities, such as health education, premature access to patients, in addition to reaching vulnerable populations. For most patients, the platform can be used for emotional support, counseling and guidance, which includes computerization on prevention, analysis of conducts to be performed and the identification and execution of necessary interventions, in addition to monitoring the health study. Enabling cases that do not require instant treatment to avoid external contact and allow certain empowerment of knowledge by the individuals who are assisted. CONCLUSION: Telehealth became necessary and more used with the worsening of the world situation caused by COVID-19. Although those who use it face some problems, such as lack of necessary structure and lack of experience, the results are positive because it continues to be promising and effective to continue patient care. In addition, it can trigger a paradigm shift in the provision of health services and an alternative support for health education actions.
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 | 0,008 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,001 |
| Bibliométrie | 0,000 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,004 | 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 ».