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Record W2973225772

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

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

Bibliographic record

VenueUWSpace (University of Waterloo) · 2019
Typedissertation
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChronic hepatitisMedicinePolitical scienceVirologyEconomic growthDevelopment economicsEconomics
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.540

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.254
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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