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Enregistrement W4405081294 · doi:10.2147/jmdh.s465154

Higher Post-Acute Health Care Costs Following SARS-CoV-2 Infection Among Adults in Ontario, Canada

2024· article· en· W4405081294 sur OpenAlexafffundabout
Candace D. McNaughton, Peter C. Austin, Zhiyin Li, Atul Sivaswamy, Jiming Fang, Husam Abdel‐Qadir, Jacob A. Udell, Walter P. Wodchis, Douglas S. Lee, Ivona Mostarac, Clare Atzema

Notice bibliographique

RevueJournal of Multidisciplinary Healthcare · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueCOVID-19 and healthcare impacts
Établissements canadiensTrillium Health CentreTed Rogers Centre for Heart ResearchInstitute for Clinical Evaluative SciencesInstitute of Health Services and Policy ResearchWomen's College HospitalSunnybrook HospitalUniversity of Toronto
Organismes subventionnairesCorHealth OntarioOntario Ministry of Health and Long-Term Care
Mots-clésSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)MedicineCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakEmergency medicineHealth carePandemicEnvironmental healthIntensive care medicineVirologyInternal medicineOutbreakInfectious disease (medical specialty)Disease

Résumé

récupéré en direct d'OpenAlex

Purpose and Introduction: Growing evidence suggests SARS-CoV-2 infection increases the risk of long term cardiovascular, neurological, and other effects. However, post-acute health care costs following SARS-CoV-2 infection are not known. Patients and Statistical Methods: Beginning 56 days following SARS-CoV-2 polymerase chain reaction (PCR) testing, we compared person-specific total and component health care costs (2020 CAD$) for the first year of follow-up at the mean and 99 th percentiles of health care costs for matched test-positive and test-negative adults in Ontario, Canada, between January 1, 2020, and March 31, 2021. Matching included demographics, baseline clinical characteristics, and two-week time blocks. Results: For 531,182 people, mean person-specific total health care costs were $513.83 (95% CI $387.37-$638.40) higher for test-positive females and $459.10 (95% CI $304.60-$615.32) higher for test-positive males, which were driven by hospitalization, long-term care, and complex continuing care costs. At the 99 th percentile of each subgroup, person-specific health care costs were $12,533.00 (95% CI $9008.50-$16,473.00) higher for test-positive females and $14,604.00 (95% CI $9565.50-$19,506.50) for test-positive males, driven by hospitalization, specialist (males), and homecare costs (females). Cancer costs were lower. Six-month and 1-year cost differences were similar. Conclusion: Post-acute health care costs after a positive SARS-CoV-2 PCR test were significantly higher than matched test-negative individuals, and these increased costs persisted for at least one year. The largest increases health care costs came from hospitalizations, long-term care, complex continuing care, followed by outpatient specialists (for males) and homecare costs (for women). Given the magnitude of ongoing viral spread, policymakers, clinicians, and patients should be aware of higher post-acute health care costs following SARS-CoV-2 infection. Plain Language Summary: We examined differences in health care costs for people who had a positive PCR for SARS-CoV-2 in Ontario, Canada, starting 56 days after the positive test at looking forward at least 1 year, matched by > 20 characteristics to people with a negative PCR within two weeks. During the study, the average health care costs per person were approximately $4800 (2020 CAD$). We found that on average, health care costs were $513.83 higher (2020 CAD$; +11% higher than average health care costs) for women who had a positive PCR test and $459.10 higher (+10% higher than average health care costs) for men who had a positive PCR test. Most of the increased costs were due to hospitalization, long-term care, and complex continuing care costs. When we looked at people who had the highest health care costs (the 99 th percentile), health care costs for women with a positive PCR test were $12,533.00 higher (+261% higher than average health care costs) and $14,604.00 higher for men (+304% higher than average health care costs), with higher costs driven by hospitalization, specialist (males), and homecare costs (females). Cancer costs were lower for people with a positive test. In summary, post-acute health care costs were higher for people who had a positive SARS-CoV-2 PCR test, after accounting for multiple patient-level factors. Higher costs persisted for a least one year of follow-up. Keywords: long COVID, health policy, sex differences

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,067
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,033
Tête enseignante GPT0,381
Écart entre enseignants0,348 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission3
Résumé présentoui

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