A222 PATTERNS OF SPECIALIST HEALTHCARE DELIVERY AMONG INFLAMMATORY BOWEL DISEASE PATIENTS IN RESPONSE TO THE COVID-19 PANDEMIC IN ONTARIO
Notice bibliographique
Résumé
Abstract Background The inflammatory bowel diseases (IBD), which comprise Crohn’s disease (CD) and ulcerative colitis (UC) are chronic conditions that can lead to significant disease complications. Access to specialist care has been shown to reduce the risk of surgery. However, due to restrictions during the COVID-19 pandemic, healthcare providers had to quickly pivot to virtual healthcare delivery. Aims Our aims were to characterize patterns of virtual care by specialists during the pandemic and whether these patterns differed between regions with high versus low access to gastroenterologists. Methods We used administrative databases at ICES, Ontario to identify the study cohort. All individuals aged 18 years or older who had an IBD diagnosis at any point between April 1, 2016 and March 31, 2021 were identified in the Ontario Crohn’s and Colitis Cohort and linked to the Ontario Health Insurance Plan (OHIP) and the ICES Physician’s Database (IPDB) to ascertain specialists visits for IBD. Tariff codes were used to categorize each outpatient IBD specialist visit as in-person or virtual (by phone or video). We calculated the rate of IBD specialist visits per 100 IBD capita for each quarter and stratified these by geographic regions that had low versus high access to gastroenterologists. Results There were 95,879 adult individuals living with IBD in Ontario at the beginning of the study. Figure 1 shows the quarterly rates of in-person and virtual IBD specialist visits four years prior to the COVID-19 pandemic and one year after its start during the first quarter of 2020. Prior to the pandemic IBD specialist visits were almost all in-person and there was a gap in rates between regions with low and high access to gastroenterologists. There was also a slight downward trend in rates of IBD specialist visits in all regions in the few years leading up to the pandemic. During the first quarter of 2020, there was an abrupt transition where the rates of in person IBD specialist visits plummeted, as rates of virtual IBD specialist visits rapidly ascended approaching rates of in-person IBD specialists visits pre-pandemic. The total rate of in-person and virtual IBD specialist visits increased during the pandemic compared to pre-pandemic rates. Conclusions Although the COVID-19 pandemic posed barriers in accessing in person healthcare, the rapid adoption of virtual care helped to compensate for this limitation. Virtual care was effectively implemented in both regions with low and high specialist access, likely facilitated by inclusion of services over the phone. The advent of virtual care increased the rate of total IBD specialist services in all regions during the pandemic. The sustainability of virtual care remains to be seen after the pandemic and after reduction of payment for phone services. Figure 1. Rates of IBD specialist visits per 100 IBD capita prior to and during the COVID-19 pandemic stratified by type of visit and by geographic region Funding Agencies CCC
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 | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».