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Enregistrement W2973225772

Health and Economic Impact of Treatment-based Strategies on Chronic Hepatitis B in Ontario

2019· dissertation· en· W2973225772 sur OpenAlexaboutno aff
Feng Tian

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2019
Typedissertation
Langueen
DomaineMedicine
ThématiqueHepatitis B Virus Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésChronic hepatitisMedicinePolitical scienceVirologyEconomic growthDevelopment economicsEconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background/Aim: The lives of about 257 million people in the world are being affected by chronic hepatitis B (CHB), and this contagious disease is gradually pushing them closer to the edge of death caused by cirrhosis and hepatocellular carcinoma. Ontario is closely connected to the rest of the world; more than 40% of the annual population growth over the past decade has come from immigrants. Addressing hepatitis B and achieving the World Health Organization (WHO)’s hepatitis elimination goals are vital. Tenofovir alafenamide (TAF) has been approved for treating CHB due to a proposed better safety profile in comparison to current therapies. However, its cost-effectiveness remains unknown. The aim of this thesis was to assess the health and economic impact of TAF and other treatments of CHB in Ontario. \nMethods: Two types of health policy models were employed to compare strategies involving entecavir (ETV), tenofovir disoproxil fumarate (TDF), and TAF. 1) A state-transition model (STM) based on the natural history of CHB and the published literature was developed to evaluate the cost-effectiveness of the treatment strategies for hepatitis B envelope antigen (HBeAg)-positive and HBeAg-negative CHB patients from an Ontario Ministry of Health perspective. It adopted a lifetime time horizon, and outcomes measured were predicted number of liver-related disease and deaths, costs (2018 Canadian dollars), quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs). 2) An agent-based model (ABM) that accommodates differential selectivity, behavior, and network properties was developed to predict the impact of the treatment-as-prevention options on the incidence and prevalence of hepatitis B virus (HBV)-related health outcomes in Ontario over the next decade. We simulated the entire Ontario population, stratified by age, gender, residential address, and immigration status. Parameters were estimated from literature-derived estimates regarding Ontario demographics, epidemiology, and sexual behavior. Historical Ontario HBV data were used for calibration. \nResults: 1) The STM found that TAF-containing strategies are unlikely to be a rational choice for treating CHB infections. For HBeAg-positive patients, TAF followed by ETV generated an additional 0.16 QALYs/person at an additional cost of $14,836.18 with an ICER of $94,142.71/QALY compared with TDF followed by ETV. Only 28.7% of the iterations showed that it is the optimal strategy with $50,000 willingness-to-pay threshold. For HBeAg-negative patients, ETV followed by TAF would prevent an additional 13 liver-related deaths per 1,000 CHB patients treated compared with TDF followed by ETV. It generated an additional 0.13 QALYs/person at an additional cost of $59,776.53 with an ICER of $461,162.21/QALY compared with TDF followed by ETV. 2) We calibrated the ABM-simulated number of reported acute hepatitis B (AHB) infections with the historical reported cases in Ontario. After extensive calibration and validation processes, our model showed a good match with the real-world observations. The ABM predicted that the actual prevalence of CHB in Ontario would decrease by 11.5% from 2017 to 2030 if all CHB patients eligible and ready for treatment begin to receive TDF followed by ETV or TAF followed by ETV after 2016. The reported incidence of AHB and the actual incidence of liver-related death are expected to fall by 48.9% and rise by 12.3% from 2017 to 2030, respectively. TAF followed by ETV was not found to be significantly different from TDF followed by ETV in reducing the prevalence and incidence of HBV-related health outcomes. \nConclusions: TAF is not cost-effective at its current cost. A 33.4% reduction in price would be required to make it cost-effective for HBeAg-positive patients with a $50,000 willingness-to-pay threshold. The percentages of decline in new CHB cases and liver-related deaths from 2017 to 2030 would be 37.8% and 77.3% lower than the percentages that the WHO is targeting, respectively. Ontario is unable to achieve the WHO’s goals of eliminating new CHB cases and CHB deaths simply by relying on current treatment-as-prevention strategies.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,074
Score d'incertitude au seuil0,540

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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 Opus0,015
Tête enseignante GPT0,254
Écart entre enseignants0,238 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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