Virtual care use among older immigrant adults in Ontario, Canada during the COVID-19 pandemic: a repeated cross-sectional analysis
Notice bibliographique
Résumé
Abstract The critical role of virtual care during the COVID-19 pandemic has raised concerns about the widening disparities to access by vulnerable populations including older immigrants. This paper aims to describe virtual care use in older immigrant populations residing in Ontario, Canada. In this population-based, repeated cross-sectional study, we used linked administrative data to describe virtual care and healthcare utilization among immigrants aged 65 years and older before and during the COVID-19 pandemic. Visits were identified weekly from January 2018 to March 2021 among various older adult immigrant populations. Among older immigrants, over 75% were high users of virtual care (had two or more virtual visits) during the pandemic. Rates of virtual care use increased for both older adult immigrant and non-immigrant populations. At the start of the pandemic, virtual care use was lower among immigrants compared to non-immigrants (weekly average of 77 vs 86 visits). As the pandemic progressed, the rates between these groups became similar (80 vs 79 visits). Virtual care use was consistently lower among immigrants in the family class (75 visits) compared to the economic (82 visits) or refugee (89 visits) classes, and was lower among those who only spoke French (69 visits) or neither French nor English (73 visits) compared to those who were fluent in English (81 visits). This study found that use of virtual care was comparable between older immigrants and non-immigrants overall, though there may have been barriers to access for older immigrants early on in the pandemic. However, within older immigrant populations, immigration category and language ability were consistent differentiators in the rates of virtual care use throughout the pandemic. Author Summary When the COVID-19 pandemic began, healthcare systems pivoted from in-person to virtual care to maintain physical distancing. Studies have shown that virtual care use became much more frequent during the pandemic as a result. What we do not know is whether virtual care is being used equitably, that is, whether everybody has fair access to the resource. This can be a big issue particularly amongst older adults, who are often battling several diseases and use healthcare frequently. Many older adults are immigrants who may face challenges in accessing healthcare due to reasons such as limited language fluency and resource support. Our study found that older adult immigrants aged 65 and above living in Ontario, Canada had lower use of virtual care initially, but their use eventually caught up with non-immigrants as the pandemic progressed. We also found that older adult immigrants from the family class had lower virtual care use compared to those from the economic, refugee, or other immigration classes. Additionally, immigrants who were not fluent in English had lower use compared to those who were fluent. These results show that virtual care access remains an issue for vulnerable minorities and steps should be taken to ensure these groups are receiving adequate care.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| 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 | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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.
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