Telemedicine in allergy/immunology in the era of COVID-19: a Canadian perspective
Notice bibliographique
Résumé
BACKGROUND: In the era of COVID-19, utilization of telemedicine has dramatically increased. In addition to reduced travel times, patient expenses, and work or school days missed, telemedicine allows clinicians to provide continued care while minimizing face-to-face interactions, maintaining social distancing, and limiting potential COVID-19 exposures. Clinical Immunology and Allergy (CIA), like many specialties, has adapted to incorporate telemedicine into practice. Previous studies have demonstrated similar patient satisfaction between virtual and in-person visits. However, evidence from fully publicly funded health care systems such as Canada has been limited. METHODS: We performed a quality improvement (QI) initiative to assess the feasibility of telemedicine. Between 1 March and 30 September 2020, patient encounters of two academic allergists at a single institution in London, Ontario, Canada were analyzed. Assessments were categorized into in-person or telemedicine appointments. A random sample of patients assessed virtually completed a voluntary patient satisfaction survey. Qualitative analysis was performed on survey comments. RESULTS: In total 3342 patients were seen. The majority were adults (n = 2162, or 64.7%) and female (n = 1872, or 56%). 1543 (46.2%) assessments were virtual and 1799 (53.8%) assessments were in-person. 67 of 100 random patient surveys sent to those in the virtual assessment group were completed. 89.6% (n = 60) agreed or strongly agreed when asked if they were satisfied with their telemedicine visit. 64.2% (n = 43) felt they received the same level of care compared to in-person assessments and 91% (n = 61) stated they would attend another virtual appointment. 95.4% (n = 62) of patients reported saving time with virtual assessment, the majority (n = 42, 62.7%) estimating between 1-4 h saved. Reported shortcomings included technical difficulties, "feeling rushed", and missing in-person interactions. CONCLUSIONS: Our quality improvement initiative demonstrated high patient satisfaction and time savings with virtual assessment in a publicly funded health care system. Studies suggest that CIA may be uniquely situated to benefit from permanent integration of virtual care into regular practice for both new and follow-up appointments. We anticipate continued increased utilization of telemedicine, signifying a lasting beneficial change in the delivery of healthcare.
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 | 0,006 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,006 |
| Études des sciences et des technologies | 0,007 | 0,007 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 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 ».