Evidence map›Paper›PMID 40197306›Full record

ArticleBMC public health2025

Cost-effectiveness of tenofovir disoproxil fumarate prophylaxis for perinatal hepatitis B virus prevention in Ethiopia: a decision analytical modeling.

Abdi Gari Negasa, Firew Tekle Bobo, Desalegn Feleke Falta, Temesgen Kabeta Chala, Negalign Berhanu Bayou

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Abdi Gari NegasaDepartment of Health Policy and Management, Collage of Health and Medical Science, Haramaya University, Harar, Ethiopia. abdigari11@gmail.com.
Firew Tekle BoboFenot Associates, Addis Ababa, Ethiopia.
Desalegn Feleke FaltaCollege of Medicine and Health Sciences, Wolaita Sodo University, Sodo, Ethiopia.
Temesgen Kabeta ChalaDepartment of Health Policy and Management, Institute of Health, Jimma University, Jimma, Ethiopia.
Negalign Berhanu BayouDepartment of Health Policy and Management, Institute of Health, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerinatal transmission of hepatitis B virus (HBV) remains a significant public health issue. To complement vaccination, tenofovir disoproxil fumarate (TDF) prophylaxis is recommended for HBV-infected pregnant women. We aimed to identify a cost-effective strategy for using TDF to prevent perinatal HBV transmission in Ethiopia.

methodsA decision tree combined with a Markov model was used to determine the cost-effectiveness of different strategies for preventing perinatal transmission of HBV in a cohort of 10,000 hepatitis B surface antigen (HBsAg)-positive pregnant women. The existing vaccination strategy (Strategy 1) was compared with three alternative strategies that added TDF prophylaxis to the existing strategy. Strategy 2 (TDF prophylaxis following HBV viral load testing), Strategy 3 (TDF prophylaxis following hepatitis B envelope antigen (HBeAg) testing), and Strategy 4 (TDF prophylaxis for all HBsAg-positive). Costs were measured from the healthcare sector perspective. Effects were measured as HBV infection averted and disability adjusted life years (DALYs) averted. Model input parameters were obtained from the literature review and local data. Cost-effectiveness was determined by the incremental cost-effectiveness ratio (ICER), with thresholds set at 0.34, 1, and 3 times the GDP per capita of Ethiopia. A sensitivity analysis was conducted to test the robustness of the results.

resultsAmong the alternatives, Strategy 4 is the most cost-effective strategy, with an ICER of 220.3 US$ per DALY averted. Strategy 4 would prevent 267 perinatal HBV infections and averted 1048 DALYs per 10,000 HBsAg-positive pregnant women. These results were robust to a range of parameters and showed a 97% probability of being cost-effective at one times the GDP per capita of Ethiopia. The next optimal strategy is Strategy 2, compared with the next best alternative, with an ICER of 1175.52 US$ per DALY averted. Strategy 3 was dominated by the available strategies.

conclusionProviding TDF prophylaxis for all HBsAg-positive pregnant women starting at 28 weeks of pregnancy has the potential to be a cost-effective strategy in Ethiopia. Introduction of TDF prophylaxis for all HBsAg-positive pregnant women is highly recommended, along with efforts to improve vaccination coverage.

Indexed as

Antiviral AgentsHepatitis BInfectious Disease Transmission, VerticalPregnancy Complications, InfectiousTenofovirAdultCost-Benefit AnalysisDecision Support TechniquesDecision TreesEthiopiaFemaleHumansMarkov ChainsPregnancyAntiviral AgentsTenofovirCost-effectivenessEthiopiaHepatitis BMTCTPerinatalTenofovir

Identifiers

PMID40197306
PMCPMC11974084

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.