Physicians’ Perceptions of Telemedicine Use During the COVID-19 Pandemic in Riyadh, Saudi Arabia: Cross-sectional Study
Notice bibliographique
Résumé
BACKGROUND: The term "telemedicine" refers to the use of communication technology to deliver health care remotely. The COVID-19 pandemic had substantial impacts on health care delivery from 2020 onward, and it was necessary to adapt high-quality care in a manner that limited the potential for viral exposure of both patients and health care workers. Physicians employed video, phone, and electronic written (e-consultation) visits, all of which provided quality of care comparable to that of face-to-face visits while reducing barriers of adopting telemedicine. OBJECTIVE: This study sought to assess physicians' perspectives and attitudes regarding the use of telemedicine in Riyadh hospitals during the COVID-19 pandemic. The main objects of assessment were as follows: (1) physicians' experience using telemedicine, (2) physicians' willingness to use telemedicine in the future, (3) physicians' perceptions of patient experiences, and (4) the influence of telemedicine on burnout. METHODS: This study employed SurveyMonkey to develop and distribute an anonymous 28-question cross-sectional survey among physicians across all specialty disciplines in Riyadh hospitals. A chi-square test was used to determine the level of association between variables, with significance set to P<.05. RESULTS: The survey was distributed among 500 physicians who experienced telemedicine between October 2021 and December 2021. A total of 362 doctors were included, of whom 28.7% (n=104) were consultants, 30.4% (n=110) were specialists, and 40.9% (n=148) were residents. Male doctors formed the majority 56.1% (n=203), and female doctors accounted for 43.9% (n=159). Overall, 34% (n=228) agreed or somewhat agreed that the "quality of care during telemedicine is comparable with that of face-to-face visits." Approximately 70% (n=254) believed that telemedicine consultation is cost-effective. Regarding burnout, 4.1% (n=15), 7.5% (n=27), and 27.3% (n=99) of the doctors reported feeling burnout every day, a few times a week, and a few times per month, respectively. CONCLUSIONS: The physicians had generally favorable attitudes toward telemedicine, believing that its quality of health care delivery is comparable to that of in-person care. However, further research is necessary to determine how physicians' attitudes toward telemedicine have changed since the pandemic and how this virtual technology can be used to improve physicians' professional and personal well-being.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,001 | 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) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».