Comparison of Healthcare Utilization Between Telemedicine and Standard Care: A Propensity-Score Matched Cohort Study Among Individuals With Chronic Psychotic Disorders in Ontario, Canada
Notice bibliographique
Résumé
Background: Telemedicine adoption has grown significantly due to the coronavirus of 2019 pandemic; however, it remains unclear what the impact of widespread telemedicine use is on healthcare utilization among individuals with psychosis. Objectives: To investigate the impact of telemedicine use on changes in healthcare utilization among patients with chronic psychotic disorders (CPDs). Study Design: We conducted a population-based, retrospective propensity-matched cohort study using healthcare administrative data in Ontario, Canada. Patients were included if they had at least one ambulatory visit between March 14, 2020 and September 30, 2020 and a CPD diagnosis any time before March 14, 2020. Telemedicine users (2+ virtual visits after March 14, 2020) were propensity score-matched 1:1 with standard care users (minimum of 1 in-person or virtual ambulatory visit and maximum of 1 virtual visit after March 14, 2020) based on several baseline characteristics. Monthly use of various healthcare services was compared between the two groups from 12 months before to 3 months after their index in-person or virtual ambulatory visit after March 14, 2020 using generalized estimating equations (eg, hospitalizations, emergency department [ED] visits, and outpatient physician visits). The slope of change over the study period (ie, rate ratio) as well as a ratio of slopes, were calculated for both telemedicine and standard care groups for each outcome. Study Results: A total of 18 333 pairs of telemedicine and standard care patients were identified after matching (60.8% male, mean [SD] age 45.4 [16.3] years). There was a significantly greater decline across time in the telemedicine group compared to the standard care group for ED visits due to any psychiatric conditions (ratio of slopes for telemedicine vs standard care (95% CI), 0.98 (0.98 to 0.99)). However, declines in primary care visit rates (ratio of slopes for telemedicine vs standard care (1.01 (1.01 to 1.02)), mental health outpatient visits with primary care (1.03 (1.03 to 1.04)), and all-cause outpatient visits with primary care (1.01 (1.01 to 1.02)), were steeper among the standard care group than telemedicine group. Conclusions: Overall, patients with CPDs appeared to benefit from telemedicine as evidenced by increased outpatient healthcare utilization and reductions in ED visits due to psychiatric conditions. This suggests that telemedicine may have allowed this patient group to have better access and continuity of care during the initial waves of the pandemic.
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 | 0,002 |
| 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 | 0,000 | 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 ».