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Prevention of Mother-to-Child Transmission of Hepatitis B Virus: Guidelines on Antiviral Prophylaxis in Pregnancy. Geneva: World Health Organization; 2020 Jul.

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Prevention of Mother-to-Child Transmission of Hepatitis B Virus: Guidelines on Antiviral Prophylaxis in Pregnancy.

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Web Annex CImpact and cost-effectiveness of HBV peripartum antiviral therapy

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Author Information and Affiliations

Acronyms and abbreviations

ANC

antenatal care

BD

birth dose

DALY

disability-adjusted life year

DC

decompensated cirrhosis

ESLD

end-stage liver disease

GBD

Global Burden of Disease

GDG

Guidelines Development Group

GDP

gross domestic product

GHSS

Global Health Sector Strategy

HBeAg

hepatitis B e-antigen

HBIG

hepatitis B immune globulin

HBsAg

hepatitis B surface antigen

HBV

hepatitis B virus

HCC

hepatocellular carcinoma

HIV

human immunodeficiency virus

ICER

incremental cost–effectiveness ratio

PMTCT

prevention of mother-to-child transmission

PPT

peripartum antiviral therapy

SQ

status quo

WHO

World Health Organization

Background

Hepatitis B virus (HBV) infection contributes to a high global burden of disease and the 2016 World Health Organization (WHO) elimination targets of the Global Health Sector Strategy (GHSS) on viral hepatitis called for a reduction in incidence of new HBV infections by 90% by 2030. The only current WHO recommendation for prevention of mother-to-child transmission (PMTCT) of HBV is birth dose (BD) vaccination within 24 hours of birth. However, in light of the accumulating evidence on the benefit of adding peripartum antiviral therapy in reducing HBV MTCT further, a WHO Guidelines Development Group (GDG) is currently reviewing the evidence for the addition of such a strategy. As part of this process, an evaluation of the impact, costs and cost–effectiveness of a population-level testing and antiviral treatment strategy for pregnant women as an HBV PMTCT intervention was undertaken to help inform these guidelines and was presented to the GDG in September 2019.

Methods

A previously published dynamic age-, sex- and region-structured simulation model of the global HBV epidemic was adapted for the purposes of this analysis, to evaluate the regional impact and cost–effectiveness of scaling up peripartum antiviral treatment for pregnant mothers. The model has been described in full elsewhere.1 In brief, the model is composed of 21 Global Burden of Disease (GBD) world regions, and is fit to data on hepatitis B surface antigen (HBsAg)2 and hepatitis B e antigen (HBeAg)3 prevalence and liver cancer deaths4 for each region independently. The model incorporates national-level demographic data on fertility, mortality and population structure (UN Population Division) and national intervention coverage levels of infant vaccination and BD vaccination.5 Transmission and natural history parameters were taken from the literature. In the model, transmission occurs from mother to child, from child to child, and across the whole population. The relative strengths of each mode of transmission are inferred through the calibration procedure.

Strategies evaluated

Table 1 summarizes the main strategies evaluated.

In strategy 1, infant vaccination is scaled up to 90% (or continues at higher levels if over 90% coverage has already been achieved) – this is considered to be the “status quo” (SQ) scenario in this report.

In strategy 2, both infant vaccination and timely BD vaccination is scaled up to 90% (or higher if already achieved).

Strategies 3 and 4 consider the scale up of antiviral therapy for pregnant women (referred to as peripartum antiviral therapy or PPT). In both PPT strategies, all pregnant women are screened for chronic HBV infection using an HBsAg test. For strategy 3, all pregnant women who test positive for HBsAg subsequently have an HBV viral load test. Women with a high viral load (the cut-off threshold was assumed to be 200 000 IU, as per existing international guidelines) are treated with tenofovir. For strategy 4, all pregnant women who test positive for HBsAg have an HBeAg test (instead of an HBV viral load). Those found to be HBeAg positive are treated with tenofovir. The PPT interventions are scaled up by 2021 and are assumed to include up to 4 months of antiviral tenofovir and monitoring.

An important assumption used for the baseline analysis is that the PPT intervention package that was modelled was incremental to a dose of BD vaccination only, without the use of hepatitis B immune globulin (HBIG), which has associated cost and logistical issues and is not currently a universal WHO recommendation. However, the efficacy of an HBIG-free strategy with BD and PPT alone is currently unknown as all existing studies evaluating tenofovir are incremental to BD and HBIG (Shimakawa et al., systematic review). Therefore, for the purpose of this analysis, it is assumed that a BD and PPT strategy would have the same efficacy as a “triple intervention strategy”, which includes BD, HBIG and PPT, of 1% residual transmission in women with a high viral load (Shimakawa et al., systematic review).

In this analysis, it is assumed that only those HBsAg-positive women whose children get a BD will be able to benefit from a PPT intervention. Further theoretical strategies whose feasibility and efficacy have yet to be established, including the administration of PPT to those who do not receive a timely BD, were also explored but are not presented here.

Table 1Main strategies modelled.*The coverage of PPT is only among those who get BD vaccination

Strategy NumberDescriptionInfant Vacc coverageBD vacc coverageDiagnostic Tests UsedEligibility for antiviral therapy
For all Pregnant womenFor women who test HBsAg +ve
1Infant Vacc to 90% by 202090SQ---
2Infant Vacc + BD to 90% by 20209090---
32 + PPT guided by High VL (2021)9090HBsAgHBV VLHigh VL*
42 + PPT guided by HBeAg (2021)9090HBsAgHBeAgEag positive*

We assumed that all pregnant women would receive one lifetime antenatal screening test for HBsAg. In contrast with human immunodeficiency virus (HIV), acquisition of new chronic HBV infection during adulthood is rare, therefore a one-off test was assumed likely to be sufficient in the presence of a previous negative test. This was calculated by adjusting the antenatal care (ANC) screening cost by the regional total fertility rate (UNPOP 2010–2015). Such a strategy should be accompanied by a process to ensure that each woman keeps a record of her HBV status (whether positive or negative) once screened throughout her childbearing years. The impact of repeated antenatal screening for HBsAg at each pregnancy was explored in the sensitivity analysis (see below).

Economic analysis

The economic analysis was performed using a health provider perspective. All costs and health outcomes were discounted at 3% and a long-term time horizon was used to 2100, although this was varied in the sensitivity analysis. Estimated health opportunity costs are represented by half the gross domestic product (GDP) per capita of the country.6

The incremental cost–effectiveness ratios (ICERs) were calculated compared to two different baseline strategies;

  1. Compared to the “status quo”: this represents 90% infant vaccination coverage (or higher if already achieved) and SQ levels of BD vaccination coverage. Comparison to this baseline scenario allows consideration of both strategies; BD scale up alone or BD and PPT scale up. Appraisal of these options is useful to help inform decisions in countries/regions that are yet to scale up BD vaccination to high levels.
  2. Compared to “BD vaccination”: this represents 90% coverage of both infant vaccination (or higher if already achieved) and 90% BD vaccination coverage (or higher if already achieved). Comparison to this baseline will allow countries to consider what to do next after scaling up BD vaccination and whether a PPT intervention would be cost effective.

Outcome measures

The primary outcome measures are new chronic infections averted, disability-adjusted life years (DALYs) averted and total costs. Cost–effectiveness results are presented as ICERs: (i. cost (US$) per DALY averted and (ii) cost (US$) per infection averted. Results are presented both relative to SQ and BD, as described above.

Costings

The costs (Table 2) in this analysis include the costs of the diagnostic tests (HBsAg test, HBeAg test and HBV viral load test), the cost of antiviral therapy for all those who fulfilled eligibility criteria and cost of treatment monitoring. Although it is assumed that rapid point-of-care tests would be used for HBsAg antenatal screening, the exact type of diagnostic test used is not specified but is expected to include one with high diagnostic performance and low cost, and suitable for use at a population level. Peripartum antiviral treatment is assumed to include at least four months of antiviral tenofovir and monitoring. Where available, the costs are taken from recent work by WHO on costing elimination of hepatitis testing and treatment.7 Expert opinion was sought for other costs and ranges. The costs are the same for all world regions and the baseline costs were aimed at representing a price available if countries were to purchase the drug through optimal procurement. The cost of human resources, programme costs and overheads were excluded for the purpose of this analysis. All costs are presented in US$ (2019) and discounted at 3%.

Table 2Main intervention costs

COSTS (USD)Baseline analysisLowHigh
HBsAg Test1.60.42.8
HBeAg Test7.5340
HBV Viral Load155100
Peripartum treatment: Drug10--
Peripartum treatment: monitoring10540
Birth Dose Vaccination1--
Infant Vaccination1-.-

Sensitivity analyses

The following sensitivity analyses were performed to demonstrate the impact of uncertainty in underlying parameters on the results.

i. Costs

Costs of intervention

Three cost scenarios were evaluated, referred to in this analysis as mid-, low- and high-cost scenarios (Table 2 outlines the ranges used). For the high-cost scenario, we also assumed that some women would have more than one HBsAg screening test per childbearing lifetime. This would, for example, take into account repeat HBsAg testing due to health provider preference or where for administrative reasons a record of the previous testing result was not available at the time of re-attendance at ANC.

We also evaluated which combination of HBeAg and HBV viral load diagnostic costs would determine which PPT strategy – HBV viral load-guided (strategy 3) or HBeAg-guided (strategy 4) – would be more cost effective.

Costs averted of management of end-stage liver disease

The costs to the health system of managing end-stage HBV-related liver disease (ESLD) (defined as decompensated cirrhosis [DC] and hepatocellular carcinoma [HCC]), are currently highly uncertain. Therefore, for the baseline analysis, a conservative estimate of cost–effectiveness was taken by excluding these averted costs.

However, we also explored the impact of including these costs in the sensitivity analysis as, given the long-term time perspective, it is useful to consider the costs averted. In light of limited empirical data on the costs of management of ESLD, and between-regional patterns that are hard to determine and likely obscure significant within-country variation, we have chosen to primarily present results with respect to a wide uniform uncertainty on the costs of ESLD. We did this by considering two scenarios where the annual costs were either US$ 500 or US$ 2500 per year, assuming that the costs of DC were equal to those of HCC and applied the same values for each region. However, WHO has recently produced provisional estimates on the cost of ESLD for 166 countries (Tordrup et al. unpublished); therefore, we have also used these in a supplemental analysis. In this case we took the WHO-estimated median, lower and upper range of costs for each GBD region (see Appendix C).

ii. Transmission parameters

The current understanding of the epidemiology of HBV MTCT is that the rate of HBV MTCT is related to HBV viral load.8 Combinations of the fraction of pregnant women who were HBeAg positive and HBeAg negative with a high HBV viral load were varied, as shown in Table 3. These ranges take into account the global averages from the recent systematic review for PICO2 (Shimakawa et al., systematic review 2019). Currently the efficacy and effectiveness of a BD and PPT strategy without HBIG is unknown. For this analysis, it is assumed that a BD and PPT strategy would have the same efficacy as a “triple PMTCT strategy”, which includes BD, HBIG and PPT, of 1% residual transmission in women with a high viral load (Shimakawa et al., systematic review 2019). However, given than the effectiveness of a BD and PPT strategy (without HBIG) is unknown, we varied this parameter over a large range in our sensitivity analysis; increasing it to 5% (assumption set 5) and 10% (assumption set 6). The high value of 10% would allow us to account for the impact of both lower efficacy and effectiveness, including the impact of low adherence to treatment.

Table 3Assumption sets used for sensitivity analysis on transmission parameters

Assumption SetsDescriptionFraction of HBeAg +ve with High VLFraction of HBeAg ve with High VLMTCT with BD+ PPT in those with High VL
1Baseline parameters0.90.050.01
2Varying Fraction High VL: Global average for HBeAg +ve0.830.130.01
3Varying Fraction High VL: Global average for HBeAg -ve0.960.070.01
4Varying Fraction High VL: Higher correlation between VL and HBeAg10.0010.01
5Lower efficacy of BD+ PPT0.90.050.05
6Lower efficacy of BD + PPT0.90.050.1

iii. Hepatitis B immunoglubulin (HBIG)

In the sensitivity analysis, we also considered a scenario where PPT was given as a package with HBIG and compared this to a baseline of BD only. We considered HBIG costs of US$ 50 and US$ 100 (WHO GDG document).

iv. Discount rates and time horizon

In keeping with guidelines on cost–effectiveness analysis, sensitivity analyses were performed on the discount rate used by using five combinations of discount rate between 0% and 6%. The impact of a shorter time horizon was also evaluated.

Results

Impact

Compared to SQ, the scale up of BD vaccination has the largest incremental impact in terms of new infections and DALYs averted, in all world regions apart from regions where BD vaccination coverage is already over 90%. Globally, this strategy will avert 14 million new neonatal HBV infections and 38 500 DALYs over the next 10 years. From a longer-term health perspective, BD scale up will avert 40 million new infections and 122 million DALYS (to 2100). The three world regions where BD scale up will have the highest impact are South Asia (12.6 million cases and 8.8 million DALYs averted to 2100), West Africa (7.4 million cases and 4.6 million DALYs averted to 2100) and East Africa (4.3 million cases and 3.1 million DALYs averted to 2100). In the following regions BD scale up will also have a significant impact and avert over 1 million new cases to 2100; Southern Africa (3 million), South-East Asia (1.5 million) and Central Africa (1.4 million).

Compared to the scale up of BD vaccination, the subsequent addition of HBsAg testing and antiviral treatment of pregnant women would avert an additional 2.9–3 million neonatal infections over the next 10 years and, over the longer term (to 2100), would avert a further 6–7 million new neonatal infections or 22–25 million DALYs. However, the incremental impact of such a strategy is highly heterogeneous, depending on the world region. The regions where a PPT strategy is estimated to have the highest impact (incremental to BD scale up) are South Asia (1.6–1.8 million infections averted and 1.3–1.7 million DALYS averted to 2100) and West Africa (1.3–1.5 million infections averted and 790 000–920 000 DALYs averted to 2100)

Table 4(A)Summary of global impact – short term (to 2030)

GLOBAL IMPACT (2020 - 2030, undiscounted)Compared to SQCompared to BD
New chronic infections AvertedNew Neonatal infections AvertedDALYs AvertedNew chronic infections AvertedNew Neonatal infections AvertedDALYS averted
Infant Vacc + BD 90% by 202018,145,61213,766,27138,529---
PPT guided by High VL (2021)22,247,64317,069,31340,7574,102,0323,303,0422,227
PPT guided by HBeAg (2021)21,766,18516,682,55640,5183,620,5732,916,2851,989

Table 4(B)Summary of global impact – long term (to 2100)

GLOBAL IMPACT (2020 - 2100, undiscounted)Compared to SQCompared to BD
New chronic infections AvertedNew Neonatal infections AvertedDALYs AvertedNew chronic infections AvertedNew Neonatal infections AvertedDALYS averted
Infant Vacc + BD 90% by 202056,835,74140,582,235122,171,349---
PPT guided by High VL (2021)66,601,18847,598,754147,213,9419,765,4467,016,51925,042,592
PPT guided by HBeAg (2021)65,246,02746,631,438143,886,1348,410,2866,049,20321,714,785

Table 4(C)Main results summary by world region. ICERs are presented in US$ per DALY averted.*

The current model is constructed by GBD world region; however, in this table the GBD regions are also approximated to the nearest WHO region (see Appendix B for mapping of GBD regions to WHO regions). The regions with the largest discrepancy regarding Member States are the GBD South-East Asian region which has countries in both WHO WPRO and SEARO (and are therefore combined) and the GBD South Asia region, which has countries in both the WHO South-East Asia and Eastern Mediterranean regions. Therefore, this approximation should be applied with caution. The last two columns represent the cost–effectiveness results of the low and high diagnostic cost scenarios, highlighted in blue if it is strategy 3 (viral load-guided) or green for strategy 4 (HBeAg-guided)

GBD regionApproximated WHO region*ICER BD (compared to SQ)ICER PPT guided by High VL (compared to BD)ICER PPT guided by HBeAg (compared to BD)Is VL or HBeAg guided more cost effective?ICER difference between PPT strategies (USD)ICER difference between PPT strategies (%age)ICER with low diagnostic costsICER with high diagnostic costs
South AfricaAFRO38814911493VL20.1%4816653
West AfricaAFRO2421066992eAg747.5%3574946
Central AfricaAFRO28511061037eAg696.7%3654950
East AfricaAFRO34912501220eAg302.5%4055461
North Africa & Middle EastEMRO54817982003VL20511.4%5347550
Eastern EuropeEURO16620282110VL824.0%5908009
Western EuropeEURO84273557973VL6188.4%197328221
Central EuropeEURO33310691068eAg10.1%97113903
Central AsiaEURO-21682334VL1667.7%6228479
Southern LAPAHO13312711237eAg342.7%4015316
Tropical LAPAHO95273208320VL100013.7%191629392
Andean LAPAHO19818491932VL834.5%5487505
CaribbeanPAHO27519082026VL1186.2%5577650
Central LAPAHO79120312071VL402.0%159524133
North AmericaPAHO85467437389VL6469.6%182426236
South AsiaWPRO/SEARO28622272297VL703.1%6478733
SE AsiaWPRO/SEARO31422142319VL1054.7%6398687
Asia Pacific High-IncomeWPRO/SEARO39731943300VL1063.3%93812678
AustralasiaWPRO/SEARO39728852964VL792.7%86611734
East AsiaWPRO/SEARO-890835eAg556.6%2933895
OceaniaWPRO/SEARO22318231852VL291.6%5497391

Costs and cost drivers

The global cost of scaling BD to 90% is estimated to be US$ 1.6 billion for 2020–2030. The additional costs of antenatal screening of pregnant women for HBsAg and providing antiviral treatment for those at high risk of HBV MTCT transmission would be an extra US$ 2.2–2.7 billion over 10 years, depending on the exact strategy adopted, with large interregional heterogeneity.

Fig. 1 demonstrates that for the PPT antiviral strategies (strategies 3 and 4), the cost of ANC screening with HBsAg contributes to the largest proportion of incremental costs. The costs of antiviral drug and further diagnostic tests (HBV viral load or HBeAg) account for a smaller percentage of total costs. In the low-cost scenario (see Fig. 1(B)), where the cost of HBsAg testing has been reduced to US$ 0.4 per test, the contribution of ANC screening to the total costs is significantly reduced. However, if the cost of HBsAg screening was higher and women were screened more than once during their childbearing lifetime, the ANC screening costs would significantly increase and impact on the overall total costs. Although this figure represents the results of the South-East Asian region, similar patterns of results are seen in other world regions (results not shown).

Fig. 1. Costs and cost drivers of strategies (results from the South-East Asia region).

Fig. 1Costs and cost drivers of strategies (results from the South-East Asia region)

Cost–effectiveness

Compared to SQ, scaling up BD vaccination is the most cost-effective option that delivers the most health benefit for the lowest cost in all but two regions where BD vaccination coverage is already very high. The ICERs for this strategy vary between US$ 133 and US$ 952 per DALY averted depending on the world region. Eight world regions have ICERs of <US$ 300 per DALY averted.

The ICERs for an HBV DNA-guided antiviral screening and treatment strategy (strategy 3), compared to BD, are highly heterogeneous between world regions and vary between US$ 890 and US$ 7355 per DALY averted. The regions with the lowest ICERs for PPT scale up are East Asia, West Africa and Central Europe, Central Africa and East Africa with ICERs of US$ 890, US$ 1066, US$ 1069, US$ 1106 and US$ 1250 per DALY averted, respectively. The regions with the highest ICERs are western Europe, tropical Latin America and North America with ICERs of US$ 7355, US$ 7320 and US$ 6743 per DALY averted, respectively. At the baseline cost of diagnostics used in this analysis, the ICERs of an HBV viral load-(strategy 3) or HBeAg-guided strategy (strategy 4) are largely similar; in most regions, the ICER difference between the two strategies is less than US$ 200 (representing less than a 10% difference in ICER in most regions). The relative cost–effectiveness of each strategy is largely dependent on the relative costs of the two diagnostic modalities (Fig. 2 shows an example from South-East Asia).

Fig. 2. Figure demonstrating how the relative costs of HBV viral load and HBeAg determine which strategy is more likely to be cost effective.

Fig. 2Figure demonstrating how the relative costs of HBV viral load and HBeAg determine which strategy is more likely to be cost effective

Note that this figure represents only the strategy that dominates, rather than a comparison to a threshold. Therefore, a PPT intervention will not necessarily be cost effective at all costs presented in the figure. The red triangle represents the baseline cost combination used in this analysis (US$ 15 for viral load, US$ 7.5 for HBeAg) and the black triangles represent upper and lower cost bounds used. (Example figure for South-East Asia)

South-East Asia

The example of the South-East Asian Region will now be used to describe some of the results in further details. Table 5 and Fig. 3 summarize the main impacts, cost and cost–effectiveness results for this region, compared to both SQ and BD. In this region, compared to BD, the two PPT strategies (scenario 3: HBV viral load-guided or scenario 4: HBeAg-guided) have ICERs of US$ 2214 and US$ 2319 per DALY averted, respectively (range US$ 639–US$ 8687) or US$ 1654 and US$ 1737 per infection averted (range US$ 477–US$ 6490). Using midrange cost scenarios, the ICER (per DALY averted) is consistent with the estimated health opportunity costs in only three out of the 11 countries in the South-East Asia Region (Table 6), suggesting that a PPT intervention is likely to be cost effective in these countries. In the other seven countries in the Region, the estimated health opportunity costs are lower than the ICER, suggesting that a PPT intervention maybe not be cost effective at those costs. However, a PPT intervention is likely to be cost effective in all countries in this Region if there was access to lower costs of diagnostics as the ICERs of a PPT strategy would be reduced to US$ 639–US$ 672 per DALY averted. A PPT strategy guided by HBV viral load is slightly more cost effective than an HBeAg-guided strategy in this Region, but there is only a US$ 105 difference between the cost–effectiveness ratios. It should be noted that the superiority of the impact of an HBV viral load-guided strategy in this analysis is a reflection of our understanding of HBV MTCT, which assumes that MTCT is guided by viral load levels. Fig. 2 shows the combination of relative diagnostic costs that determine whether an HBV viral load-guided strategy or an HBeAg-guided strategy would be more cost effective.

The current base case analysis assumes once per lifetime screening test for HBsAg. Screening pregnant women for HBsAg at each pregnancy would decrease the cost–effectiveness of such a strategy and increase the ICERs to US$ 4298 (strategy 3) or US$ 4688 (strategy 4) per DALY averted.

Table 5Summary results table for the South-East Asia Region (see Appendix B for summary tables of each of the other GBD regions)

REGION: South East AsiaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted1,464,1671,861,8971,813,965
Cases Averted (%age)313938
DALYs Averted1,167,8411,464,9891,429,807
Impact compared to BDCases Averted-397,730349,798
Cases Averted (%age)-1715
DALYs Averted-297,148261,966
Total CostsMid Cost Scenario1,304,043,5441,961,877,8691,911,558,355
Low Cost Scenario-1,493,955,0501,480,094,603
High Cost Scenario-3,885,476,0623,487,740,778
ICER ($ per DALY averted) - compared to SQMid Cost Scenario314699681
Low Cost Scenario-380380
High Cost Scenario-2,0121,784
ICER ($ per case averted)- - compared to SQMid Cost Scenario250550537
Low Cost Scenario-299299
High Cost Scenario-1,5831,406
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-2,2142,319
Low Cost Scenario-639672
High Cost Scenario-8,6878,336
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,6541,737
Low Cost Scenario-477503
High Cost Scenario-6,4906,243
Fig. 3. Incremental cost and impacts of strategies under consideration. Left panel shows results compared to SQ. Right panel shows results compared to BD scale up (results for South-East Asia).

Fig. 3Incremental cost and impacts of strategies under consideration. Left panel shows results compared to SQ. Right panel shows results compared to BD scale up (results for South-East Asia)

Table 6Table of countries in the South-East Asian Region, with GDP per capita and estimate of health opportunity costs. The GDP per capita (World Bank, World Development Indicators 2019)

SOUTHEAST ASIAGDP per Capita (2018 USD)Estimate of Health Opportunity Cost
Cambodia1,512756
Indonesia3,8941947
Lao PDR2,5681284
Malaysia11,2395619
Maldives10,2245112
Myanmar1,326663
Philippines3,1031551
Sri Lanka4,1022051
Thailand7,2743637
Timor-Leste2,0361018
Vietnam2,5641282

The sensitivity analysis performed with the costs averted of management of ESLD confirm that increasing the costs of the management of DC and HCC lower the ICER. For the South-East Asian Region, if annual costs of DC and HCC are US$ 500 then the ICER for strategy 3 reduces from US$ 2214 to US$ 2180 per DALY averted, and to US$ 2044 per DALY averted if it was US$ 2500 per year. The alternative method using provisional WHO values revealed ICERs for South-East Asia of US$ 2125, US$ 2191 or US$ 1801 when regional median costs (US$ 1080 DC, US$ 2048 HCC), lower-range costs (US$ 281 DC, US$ 545 HCC) and higher-range costs (US$ 5066 DC and US$ 9432 HCC) were applied, respectively. However, for example, in the Central African Region, if the costs of DC and HCC are as high as US$ 13 945 and US$ 2572, which WHO estimates suggest, then such an intervention could even be cost-saving (Table 7). However, this would appear to warrant further investigation as the cost of HCC is 19-fold higher than the median value for that region.

Table 7. Sensitivity analysis: impact on cost–effectiveness of including costs of management of end-stage liver disease (ESLD) using uniform costs and provisional WHO costs (results shown for South East Asia). The cost of ESLD refers to annual costs for DC HCC. ICER is presented in US$ per DALY averted.

Table 7

Sensitivity analysis: impact on cost–effectiveness of including costs of management of end-stage liver disease (ESLD) using uniform costs and provisional WHO costs (results shown for South East Asia). The cost of ESLD refers to annual costs for (more...)

Table 8 summarizes the impact and cost–effectiveness results of varying the transmission parameters, for the two PPT strategies (strategy 3 and 4). As the correlation between HBeAg and viral load increases, the relative difference in cost–effectiveness of the two PPT strategies reduces. Having a higher overall percentage of all HBV-infected persons or HBeAg-negative persons with a high viral load who would benefit from antiviral therapy also improves the cost–effectiveness of a viral load-guided PPT strategy. If a BD + PPT strategy had a lower effectiveness, this would reduce the impact of a PPT strategy and increase the ICER to US$ 2801–US$ 2931 per DALY averted if residual transmission was 5% or to US$ 4196–US$ 4379 if residual transmission was 10%.

Table 8Results of sensitivity analysis on varying transmission parameters. 3% discounting of costs and health outcomes, long-term time horizon (results for the South-East Asia Region)

ScenariosCases AvertedDALYs avertedICER ($ per DALY averted)ICER ($ per case averted)
Assumption Set 1
Fraction High VL: HBeAg pos (0.9), HBeAg neg (0.05)
PPT guided by High VL (in 2021)397,730297,1482,2141,654
PPT guided by HBeAg (in 2021)349,798261,9662,3191,737
Assumption Set 2
Fraction High VL: HBeAg pos (0.83), HBeAg neg (0.13)
PPT guided by High VL (in 2021)483,636359,2261,8511,375
PPT guided by HBeAg (in 2021)354,891264,7692,2961,713
Assumption Set 3
Fraction High VL: HBeAg pos (0.96), HBeAg neg (0.07)
PPT guided by High VL (in 2021)416,469310,7402,1291,589
PPT guided by HBeAg (in 2021)351,759263,2232,3081,727
Assumption Set 4
Fraction High VL: HBeAg pos (1.0), HBeAg neg (0.001)
PPT guided by High VL (in 2021)359,153269,3262,4421,831
PPT guided by HBeAg (in 2021)350,220262,7592,3111,734
Assumption Set 5
Lower BD + PPT efficacy (5% residual transmission)
PPT guided by High VL (in 2021)315,363235,0522,8012,088
PPT guided by HBeAg (in 2021)277,470207,3862,9312,191
Assumption Set 6
Lower BD + PPT efficacy (10% residual transmission)
PPT guided by High VL (in 2021)211,391157,0874,1963,118
PPT guided by HBeAg (in 2021)186,302138,8964,3793,265

The current baseline analysis assumed that a tenofovir disoproxil fumarate (TDF) intervention had the same efficacy as a BD, HBIG and TDF intervention. However, if HBIG was used in combination with TDF, the ICER of strategy 3 (compared to BD only) would increase by over US$ 1000 to US$ 3325 per DALY averted (if HBIG was US$ 50 per dose) or over US$ 2000 to US$ 4436 if HBIG was US$ 100 per dose (Fig. 4).

Fig. 4. Costs and cost drivers of strategies, including cost of HBIG (results for the South-East Asia Region).

Fig. 4Costs and cost drivers of strategies, including cost of HBIG (results for the South-East Asia Region)

The choice of discount rate has a large impact on ICER (Table 9). If costs and health benefits are undiscounted, the ICER reduces to US$ 1070 per DALY averted. A shorter 10-year time horizon (undiscounted) reveals a lower cost per infection averted of US$ 828–US$ 870.

Table 9Sensitivity analysis on various combinations of discount rate

ScenarioCost ($) per DALY averted
0%, 0%3%, 3%6%, 6%6%, 0%0%, 6%
PPT guided by High VL (in 2021)1,0702,2145,62620329,690
PPT guided by HBeAg (in 2021)1,1692,3195,68620632,255

Discussion

Scaling up BD vaccination will have the largest impact for the lowest cost and would therefore be the most cost-effective strategy compared to SQ in most world regions. This is consistent with previous studies showing the impact and cost–effectiveness of BD vaccination,1,9,10 and supports existing WHO HBV PMTCT recommendations for a universal BD vaccination policy.

Our study shows that a PPT intervention will have an impact on new cases averted, including neonatal infections averted and DALYs averted. However, there is inter- and intraregional heterogeneity as to whether such a strategy would be considered cost effective using the middle range of diagnostic costs. The cost–effectiveness of a PPT strategy is largely influenced by the costs of ANC screening and the number of times a woman is screened during her lifetime, the efficacy of antiviral therapy in addition to BD (i.e. HBIG-free strategy), whether HBIG is used and its associated cost and the costs of management of ESLD. Further health economic evaluation characteristics, including choice of discount rate and time horizon taken, also affect the ICER.

Importantly, our analysis has revealed that the cost of diagnostics, particularly HBsAg tests, contribute more to the total cost of a PPT intervention than the cost of the antiviral drug. Therefore, further reduction in the cost of HBsAg tests from the currently available price of US$ 1.6 is needed in order to improve the cost–effectiveness of a PPT strategy. Our base-case scenario assumes that each pregnant woman has one ANC HBsAg screening test per childbearing lifetime, rather than a test repeated at each pregnancy. However, in practice, there might be a bias towards retesting at each pregnancy, for example, due to movement between clinics, lack of records being kept or health-care worker preference, which would make a screening and PPT strategy less cost effective, particularly in low-burden settings.

Under the current assumptions and given the available data, HBV viral load-guided or HBeAg-guided strategies have similar cost–effectiveness ratios and the choice of strategy would depend on the relative cost of diagnostics available and local-level considerations, including access to diagnostics and laboratory facilities. Further consideration may be appropriate about how different strategies might be adopted depending on urban or rural settings.

It is important to note that regional-level results provide some guide for policy-making, although they can give only a broad indication as to whether it may be more or less likely that a particular strategy would be cost effective under the simplifying assumptions adopted. Given the heterogeneity of epidemiological, cost and health opportunity costs of countries within regions, averaging across countries within a region obscures this variability. Therefore, regional analyses cannot directly inform decisions about the allocation of resources at the local level where the value is realized, and does not replace the need for careful analysis using local data in each country.

It should be noted that not all countries currently have access to diagnostics at the costs modelled. GeneXpert HBV viral load test kits are available for US$ 15 and are currently being validated in field settings. However, local consideration would need to be given as to the availability and capacity of the existing platforms to integrate HBV testing. Furthermore, HBeAg tests have, so far, been shown to have poor diagnostic performance.11 In the absence of the development of a cheap and accurate HBeAg rapid test, if countries remain reliant on the use of laboratory-based HBeAg testing, this might limit the advantage of using an HBeAg-guided strategy over a viral load-guided one to guide PPT.

Although the current analysis aims to be as robust as possible, there are many data gaps that limit the study. Primarily there remains uncertainty about the epidemiology, transmission and efficacy of interventions, particularly in the sub-Saharan African region.12 Importantly, there are currently no data on the efficacy of an HBIG-free (BD and PPT only) PMTCT intervention (Shimakawa et al., systematic review 2019). All studies that have demonstrated the efficacy of PPT have used PPT in addition to BD and HBIG. However, HBIG does not currently form part of WHO recommendations as the widespread use of HBIG is thought to be unfeasible in many settings due the need for a cold chain, problems with lack of availability, high cost and concerns around the use of blood products.13 The results of the ongoing study in Lao People’s Democratic Republic and Thailand evaluating the efficacy of a BD and PPT strategy will be useful to refine model projections (https://clinicaltrials.gov/ct2/show/NCT03343431), as our analysis has shown that the cost–effectiveness is sensitive to the effectiveness of such a strategy in reducing HBV MTCT. Furthermore, although there are data on the proportion of women with a high HBV viral load, by HBeAg status, the number of high-quality studies outside the WHO Western Pacific region is limited (Shimakawa et al., systematic review).

Currently accurate regional data on the costs of management of HBV-related decompensated cirrhosis and liver cancer are limited, and many persons in low–middle-income countries often present late when therapeutic options are limited. Our baseline analysis excludes the costs averted of the management of ESLD and therefore takes a conservative view of cost–effectiveness. However, the sensitivity analysis has revealed that country-specific information on the costs of management of these conditions would impact on whether such an intervention was cost effective or not. Therefore, further empirical data on resource utilization and the costs of managing DC and HCC will be useful to more accurately assess the cost–effectiveness of HBV interventions at a local level. Furthermore, we have not taken into account programme costs, management and overhead costs or that of human resources, thereby underestimating the true total costs of implementing a national HBsAg screening and treatment strategy. Whether ANC screening and PPT could be integrated into existing services, e.g. HIV services, needs further research. Additionally, this analysis has evaluated the cost–effectiveness of PMTCT strategies, assuming that there will not be a large scale up in antiviral therapy of chronic HBV carriers and in the absence of a cure, which would overestimate the cost–effectiveness.

In summary, this study has shown that the most cost-effective PMTCT intervention is to scale up BD in all regions where it remains suboptimal. Incremental to birth scale up, a PPT strategy might be cost effective in some regions/countries but not others and careful local-level consideration needs to be given as to how such a strategy is implemented. Diagnostic costs, particularly HBsAg screening costs, the effectiveness of an “HBIG-free” PPT strategy and the costs of management of ESLD are large drivers of cost–effectiveness. Caution must be taken in interpreting these results as the data on the epidemiology and transmission of HBV MTCT are limited in some regions, particularly in sub-Saharan Africa, and research must be targeted to address these knowledge gaps.

Selected references

1.
Nayagam S, Thursz M, Sicuri E, et al. Requirements for global elimination of hepatitis B: a modelling study. Lancet Infect Dis. 2016;16(12):1399–408. [PubMed: 27638356]
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30. Ott JJ, Stevens GA, Groeger J, Wiersma ST. Global epidemiology of hepatitis B virus infection: new estimates of age-specific HBsAg seroprevalence and endemicity. Vaccine. 2012;(12):2212–9. [PubMed: 22273662]
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12 Ott JJ, Stevens GA, Wiersma ST. The risk of perinatal hepatitis B virus transmission: hepatitis B e antigen (HBeAg) prevalence estimates for all world regions. BMC Infect Dis. 2012;:131. [PMC free article: PMC3478174] [PubMed: 22682147]
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GLOBOCAN 2012: estimated cancer incidence, mortality and prevalence worldwide in 2012. Lyon: International Agency for Research on Cancer, World Health Organization; 2015.
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WHO/UNICEF Estimates of National Immunization Coverage (WUENIC). Geneva: World Health Organization (http://apps​.who.int/immunization​_monitoring​/globalsummary/timeseries​/tscoveragehepb_bd.html, accessed 14 February 2020).
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Woods B, Revill P, Sculpher M, Claxton K. Country-level cost-effectiveness thresholds: initial estimates and the need for further research. Value Health. 2016;19(8):929–35. [PMC free article: PMC5193154] [PubMed: 27987642]
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Tordrup D, Hutin Y, Stenberg K, et al. Additional resource needs for viral hepatitis elimination through universal health coverage: projections in 67 low-income and middle-income countries, 2016&#x2013;30. Lancet Glob Health. 2019;7(9):e1180–e8. [PubMed: 31353061]
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Wen W-H, Chang M-H, Zhao L-L, et al. Mother-to-infant transmission of hepatitis B virus infection: Significance of maternal viral load and strategies for intervention. J Hepatol. 2013;59(1):24–30. [PubMed: 23485519]
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Klingler C, Thoumi AI, Mrithinjayam VS. Cost-effectiveness analysis of an additional birth dose of Hepatitis B vaccine to prevent perinatal transmission in a medical setting in Mozambique. Vaccine. 2012;31(1):252–9. [PubMed: 22902676]
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Reardon JM, O’Connor SM, Njau JD, Lam EK, Staton CA, Cookson ST. Cost-effectiveness of birth-dose hepatitis B vaccination among refugee populations in the African region: a series of case studies. Conflict and Health. 2019;13:5. [PMC free article: PMC6390570] [PubMed: 30858875]
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Seck A, Ndiaye F, Maylin S, et al. Poor sensitivity of commercial rapid diagnostic tests for hepatitis B e antigen in Senegal, West Africa. Am J Trop Med Hyg. 2018;99(2):428–34. [PMC free article: PMC6090320] [PubMed: 29869595]
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Keane E, Funk AL, Shimakawa Y. Systematic review with meta-analysis: the risk of mother-to-child transmission of hepatitis B virus infection in sub-Saharan Africa. Aliment Pharmacol Ther. 2016;44(10):1005–17. [PubMed: 27630001]
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Spearman CW, Afihene M, Ally R, et al. Hepatitis B in sub-Saharan Africa: strategies to achieve the 2030 elimination targets. Lancet Gastroenterol Hepatol. 2017;2(12):900–9. [PubMed: 29132759]

Appendices

Appendix A. Regional summary results (see Appendix B for approximate mapping of GBD to WHO regions*)

GBD West Africa (WHO African Region)

Outcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted7,448,9468,963,9628,738,702
Cases Averted (%age)384645
DALYs Averted4,582,5855,506,2585,371,223
Impact compared to BDCases Averted-1,515,0161,289,757
Cases Averted (%age)-2522
DALYs Averted-923,674788,638
Total CostsMid Cost Scenario2,420,024,2163,404,312,5233,202,411,988
Low Cost Scenario2,420,024,2162,758,645,7082,701,770,540
High Cost Scenario2,420,024,2166,988,848,1415,406,750,180
ICER ($ per DALY averted) - compared to SQMid Cost Scenario242380352
Low Cost Scenario-263259
High Cost Scenario-1,031762
ICER ($ per case averted)- - compared to SQMid Cost Scenario149233216
Low Cost Scenario-161159
High Cost Scenario-633469
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-1,066992
Low Cost Scenario-367357
High Cost Scenario-4,9463,787
ICER ($ per case averted) - compared to BDMid Cost Scenario-650607
Low Cost Scenario-224218
High Cost Scenario-00

GBD Southern Africa (WHO African Region)

Region: Southern AfricaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted3,021,7143,681,7783,565,422
Cases Averted (%age)394846
DALYs Averted1,980,4452,377,7012,308,409
Impact compared to BDCases Averted0660,064543,708
Cases Averted (%age)02118
DALYs Averted0397,256327,964
Total CostsMid Cost Scenario1,802,884,2752,395,095,4992,292,409,293
Low Cost Scenario-1,993,990,8601,964,448,677
High Cost Scenario-4,445,880,1503,648,456,343
ICER ($ per DALY averted) - compared to SQMid Cost Scenario388572545
Low Cost Scenario-404403
High Cost Scenario-1,4351,132
ICER ($ per case averted)- - compared to SQMid Cost Scenario254370353
Low Cost Scenario-261261
High Cost Scenario-927733
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-1,4911,493
Low Cost Scenario-481493
High Cost Scenario-6,6535,627
ICER ($ per case averted) - compared to BDMid Cost Scenario-897900
Low Cost Scenario-290297
High Cost Scenario-4,0043,394

GBD Central Africa (WHO African Region)

Region: Central AfricaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted1,482,2901,748,2981,715,362
Cases Averted (%age)404746
DALYs Averted985,2191,160,2901,139,252
Impact compared to BDCases Averted-266,008233,072
Cases Averted (%age)-2421
DALYs Averted-175,071154,033
Total CostsMid Cost Scenario528,630,986722,300,481688,322,047
Low Cost Scenario-594,268,216584,917,600
High Cost Scenario-1,395,220,7581,126,478,713
ICER ($ per DALY averted) - compared to SQMid Cost Scenario285409386
Low Cost Scenario-298296
High Cost Scenario-989771
ICER ($ per case averted)- - compared to SQMid Cost Scenario189271257
Low Cost Scenario-198196
High Cost Scenario-656512
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-1,1061,037
Low Cost Scenario-375365
High Cost Scenario-4,9503,881
ICER ($ per case averted) - compared to BDMid Cost Scenario-728685
Low Cost Scenario-247241
High Cost Scenario-3,2582,565

GBD East Africa (WHO African Region)

Region: East AfricaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted4,300,7275,091,2294,980,788
Cases Averted (%age)404746
DALYs Averted3,105,8093,662,2473,586,586
Impact compared to BDCases Averted-790,502680,061
Cases Averted (%age)-2421
DALYs Averted-556,438480,778
Total CostsMid Cost Scenario2,135,967,3632,831,280,1412,722,405,683
Low Cost Scenario-2,361,469,3342,331,019,905
High Cost Scenario-5,174,740,7154,319,164,915
ICER ($ per DALY averted) - compared to SQMid Cost Scenario349486466
Low Cost Scenario-357356
High Cost Scenario-1,126911
ICER ($ per case averted)- - compared to SQMid Cost Scenario252349335
Low Cost Scenario-257257
High Cost Scenario-810656
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-1,2501,220
Low Cost Scenario-405406
High Cost Scenario-5,4614,541
ICER ($ per case averted) - compared to BDMid Cost Scenario-880862
Low Cost Scenario-285287
High Cost Scenario-3,8443,210

GBD South-East Asia (WHO Western Pacific Region/South-East Asia Region*)

REGION: South East AsiaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted1,464,1671,861,8971,813,965
Cases Averted (%age)313938
DALYs Averted1,167,8411,464,9891,429,807
Impact compared to BDCases Averted-397,730349,798
Cases Averted (%age)-1715
DALYs Averted-297,148261,966
Total CostsMid Cost Scenario1,304,043,5441,961,877,8691,911,558,355
Low Cost Scenario-1,493,955,0501,480,094,603
High Cost Scenario-3,885,476,0623,487,740,778
ICER ($ per DALY averted) - compared to SQMid Cost Scenario314699681
Low Cost Scenario-380380
High Cost Scenario-2,0121,784
ICER ($ per case averted)- - compared to SQMid Cost Scenario250550537
Low Cost Scenario-299299
High Cost Scenario-1,5831,406
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-2,2142,319
Low Cost Scenario-639672
High Cost Scenario-8,6878,336
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,6541,737
Low Cost Scenario-477503
High Cost Scenario-6,4906,243

GBD East Asia (WHO Western Pacific Region/South-East Asia Region*)

Region: East AsiaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted-371,951332,967
Cases Averted (%age)-98
DALYs Averted-324,055290,487
Impact compared to BDCases Averted-371,951332,967
Cases Averted (%age)-98
DALYs Averted-324,055290,487
Total CostsMid Cost Scenario440,609,368728,956,877683,040,379
Low Cost Scenario-538,082,599525,659,340
High Cost Scenario-1,702,820,8191,337,414,039
ICER ($ per DALY averted) - compared to SQMid Cost Scenario-890835
Low Cost Scenario-301293
High Cost Scenario-3,8953,087
ICER ($ per case averted)- - compared to SQMid Cost Scenario-775728
Low Cost Scenario-262255
High Cost Scenario-3,3932,693
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-890835
Low Cost Scenario-301293
High Cost Scenario-3,8953,087
ICER ($ per case averted) - compared to BDMid Cost Scenario-775728
Low Cost Scenario-262255
High Cost Scenario-3,3932,693

GBD South Asia (WHO Western Pacific Region/South-East Asia Region*)

Region: South AsiaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted12,589,43514,432,85314,235,505
Cases Averted (%age)374342
DALYs Averted8,835,57010,140,37010,004,278
Impact compared to BDCases Averted-1,843,4171,646,070
Cases Averted (%age)-1816
DALYs Averted-1,304,8001,168,708
Total CostsMid Cost Scenario5,648,124,9778,553,863,2338,332,941,627
Low Cost Scenario-6,491,906,0286,431,866,407
High Cost Scenario-17,043,502,52615,287,955,557
ICER ($ per DALY averted) - compared to SQMid Cost Scenario286535521
Low Cost Scenario-332330
High Cost Scenario-1,3731,216
ICER ($ per case averted)- - compared to SQMid Cost Scenario200376366
Low Cost Scenario-233232
High Cost Scenario-964854
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-2,2272,297
Low Cost Scenario-647671
High Cost Scenario-8,7338,248
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,5761,631
Low Cost Scenario-458476
High Cost Scenario-6,1825,856

GBD Oceania (WHO Western Pacific Region/South-East Asia Region*)

Region: OceaniaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted26,40442,82940,947
Cases Averted (%age)193230
DALYs Averted18,81129,79628,541
Impact compared to BDCases Averted-16,42614,544
Cases Averted (%age)-1816
DALYs Averted-10,9859,730
Total CostsMid Cost Scenario39,362,34959,385,79657,384,208
Low Cost Scenario-45,390,89344,841,603
High Cost Scenario-120,556,750104,710,993
ICER ($ per DALY averted) - compared to SQMid Cost Scenario223813778
Low Cost Scenario-343339
High Cost Scenario-2,8662,436
ICER ($ per case averted)- - compared to SQMid Cost Scenario159565542
Low Cost Scenario-239236
High Cost Scenario-1,9941,698
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-1,8231,852
Low Cost Scenario-549563
High Cost Scenario-7,3916,716
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,2191,239
Low Cost Scenario-367377
High Cost Scenario-4,9434,493

GBD Asia Pacific high-income (WHO Western Pacific Region/South-East Asia Region*)

Region: Asia Pacific High-IncomeOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted176,835222,606217,360
Cases Averted (%age)212726
DALYs Averted86,905107,410105,073
Impact compared to BDCases Averted-45,77140,525
Cases Averted (%age)-87
DALYs Averted-20,50518,168
Total CostsMid Cost Scenario131,039,923196,540,998190,989,249
Low Cost Scenario-150,280,419148,757,173
High Cost Scenario-391,004,857347,064,505
ICER ($ per DALY averted) - compared to SQMid Cost Scenario397931899
Low Cost Scenario-501497
High Cost Scenario-2,7422,385
ICER ($ per case averted)- - compared to SQMid Cost Scenario195449435
Low Cost Scenario-242240
High Cost Scenario-1,3231,153
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-3,1943,300
Low Cost Scenario-938975
High Cost Scenario-12,67811,891
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,4311,479
Low Cost Scenario-420437
High Cost Scenario-5,6805,331

GBD Australasia (WHO Western Pacific Region/South-East Asia Region*)

Region: AustralasiaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted34,84539,78139,147
Cases Averted (%age)343939
DALYs Averted16,89919,12918,847
Impact compared to BDCases Averted-4,9364,303
Cases Averted (%age)-1110
DALYs Averted-2,2301,947
Total CostsMid Cost Scenario13,037,78819,469,74018,810,882
Low Cost Scenario-14,968,42514,785,278
High Cost Scenario-39,198,35134,010,269
ICER ($ per DALY averted) - compared to SQMid Cost Scenario397687662
Low Cost Scenario-452449
High Cost Scenario-1,7181,469
ICER ($ per case averted)- - compared to SQMid Cost Scenario192330319
Low Cost Scenario-217216
High Cost Scenario-826707
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-2,8852,964
Low Cost Scenario-866897
High Cost Scenario-11,73410,769
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,3031,342
Low Cost Scenario-391406
High Cost Scenario-5,3004,874

GBD Andean Latin America (WHO Pan American Health Association)

Region: Andean Latin AmericaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted190,320233,111227,012
Cases Averted (%age)334140
DALYs Averted179,486217,093211,872
Impact compared to BDCases Averted-42,79136,692
Cases Averted (%age)-1614
DALYs Averted-37,60732,385
Total CostsMid Cost Scenario132,107,594201,658,374194,661,445
Low Cost Scenario-152,707,987150,733,204
High Cost Scenario-414,335,565359,570,104
ICER ($ per DALY averted) - compared to SQMid Cost Scenario198484463
Low Cost Scenario-259256
High Cost Scenario-1,4641,241
ICER ($ per case averted)- - compared to SQMid Cost Scenario187451432
Low Cost Scenario-241239
High Cost Scenario-1,3631,159
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-1,8491,932
Low Cost Scenario-548575
High Cost Scenario-7,5057,024
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,6251,705
Low Cost Scenario-481508
High Cost Scenario-6,5956,199

GBD Andean Latin America (WHO Pan American Health Association)

Region: Central Latin AmericaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted112,431158,914152,270
Cases Averted (%age)233231
DALYs Averted105,803145,356139,777
Impact compared to BDCases Averted-46,48239,838
Cases Averted (%age)-1412
DALYs Averted-39,55333,974
Total CostsMid Cost Scenario553,591,464792,593,363785,311,374
Low Cost Scenario-616,679,421614,624,467
High Cost Scenario-1,430,498,5081,373,498,258
ICER ($ per DALY averted) - compared to SQMid Cost Scenario7912,2202,257
Low Cost Scenario-1,0101,035
High Cost Scenario-6,6096,465
ICER ($ per case averted)- - compared to SQMid Cost Scenario7442,0312,071
Low Cost Scenario-924950
High Cost Scenario-6,0455,934
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-6,0436,820
Low Cost Scenario-1,5951,796
High Cost Scenario-22,17024,133
ICER ($ per case averted) - compared to BDMid Cost Scenario-5,1425,816
Low Cost Scenario-1,3571,532
High Cost Scenario-18,86520,581

GBD Southern Latin America (WHO Pan American Health Association)

Region: Southern Latin AmericaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted176,104209,810206,407
Cases Averted (%age)323837
DALYs Averted143,778169,664167,101
Impact compared to BDCases Averted-33,70630,303
Cases Averted (%age)-1312
DALYs Averted-25,88623,322
Total CostsMid Cost Scenario56,208,50889,106,34185,049,483
Low Cost Scenario-66,648,00765,552,877
High Cost Scenario-193,808,992161,492,435
ICER ($ per DALY averted) - compared to SQMid Cost Scenario133307287
Low Cost Scenario-175171
High Cost Scenario-924745
ICER ($ per case averted)- - compared to SQMid Cost Scenario109248233
Low Cost Scenario-141138
High Cost Scenario-747603
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-1,2711,237
Low Cost Scenario-403401
High Cost Scenario-5,3164,514
ICER ($ per case averted) - compared to BDMid Cost Scenario-976952
Low Cost Scenario-310308
High Cost Scenario-4,0823,474

GBD Tropical Latin America (WHO Pan American Health Association)

Region: Tropical Latin AmericaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted98,874124,313120,608
Cases Averted (%age)283534
DALYs Averted98,387121,223117,957
Impact compared to BDCases Averted-25,43921,734
Cases Averted (%age)-1311
DALYs Averted-22,83619,570
Total CostsMid Cost Scenario402,197,994569,359,814565,022,355
Low Cost Scenario-445,958,469444,731,119
High Cost Scenario-1,011,309,714977,397,844
ICER ($ per DALY averted) - compared to SQMid Cost Scenario9522,1512,174
Low Cost Scenario-1,1331,154
High Cost Scenario-5,7975,670
ICER ($ per case averted)- - compared to SQMid Cost Scenario9472,0982,126
Low Cost Scenario-1,1051,129
High Cost Scenario-5,6535,545
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-7,3208,320
Low Cost Scenario-1,9162,173
High Cost Scenario-26,67329,392
ICER ($ per case averted) - compared to BDMid Cost Scenario-6,5717,492
Low Cost Scenario-1,7201,957
High Cost Scenario-23,94426,466

GBD Caribbean (WHO Pan American Health Association)

Region: CaribbeanOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted116,591138,083134,903
Cases Averted (%age)354140
DALYs Averted113,348132,306129,563
Impact compared to BDCases Averted-21,49218,311
Cases Averted (%age)-1412
DALYs Averted-18,95916,215
Total CostsMid Cost Scenario70,563,543106,734,957103,408,934
Low Cost Scenario-81,130,19980,190,735
High Cost Scenario-215,598,322189,575,213
ICER ($ per DALY averted) - compared to SQMid Cost Scenario275509494
Low Cost Scenario-315315
High Cost Scenario-1,3321,159
ICER ($ per case averted)- - compared to SQMid Cost Scenario267488474
Low Cost Scenario-302302
High Cost Scenario-1,2761,113
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-1,9082,026
Low Cost Scenario-557594
High Cost Scenario-7,6507,339
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,6831,794
Low Cost Scenario-492526
High Cost Scenario-6,7486,499

GBD North America (WHO Pan American Health Association)

Region: North AmericaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted108,840133,859130,673
Cases Averted (%age)253131
DALYs Averted57,57169,64968,132
Impact compared to BDCases Averted-25,01921,833
Cases Averted (%age)-98
DALYs Averted-12,07710,561
Total CostsMid Cost Scenario159,948,693241,393,195237,981,270
Low Cost Scenario-181,982,948181,034,491
High Cost Scenario-463,892,012437,026,243
ICER ($ per DALY averted) - compared to SQMid Cost Scenario8541,8751,867
Low Cost Scenario-1,0221,031
High Cost Scenario-5,0704,789
ICER ($ per case averted)- - compared to SQMid Cost Scenario452976973
Low Cost Scenario-532538
High Cost Scenario-2,6382,497
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-6,7437,389
Low Cost Scenario-1,8241,997
High Cost Scenario-25,16626,236
ICER ($ per case averted) - compared to BDMid Cost Scenario-3,2553,574
Low Cost Scenario-881966
High Cost Scenario-12,14812,691

GBD Central Europe (WHO European Region*)

Region: Central EuropeOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted29,51040,62639,136
Cases Averted (%age)152020
DALYs Averted28,69138,20836,949
Impact compared to BDCases Averted-11,1169,626
Cases Averted (%age)-76
DALYs Averted-9,5178,258
Total CostsMid Cost Scenario55,940,97089,819,98988,191,893
Low Cost Scenario-65,184,34764,728,161
High Cost Scenario-183,528,229170,750,016
ICER ($ per DALY averted) - compared to SQMid Cost Scenario3331,1371,131
Low Cost Scenario-492496
High Cost Scenario-3,5893,366
ICER ($ per case averted)- - compared to SQMid Cost Scenario3241,0691,068
Low Cost Scenario-463469
High Cost Scenario-3,3763,178
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-3,5603,905
Low Cost Scenario-9711,064
High Cost Scenario-13,40713,903
ICER ($ per case averted) - compared to BDMid Cost Scenario-3,0483,350
Low Cost Scenario-832913
High Cost Scenario-00

GBD East Europe (WHO European Region*)

Region: East EuropeOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted19,79331,37230,001
Cases Averted (%age)121818
DALYs Averted18,00527,06426,004
Impact compared to BDCases Averted-11,57910,209
Cases Averted (%age)-87
DALYs Averted-9,0597,999
Total CostsMid Cost Scenario27,170,11345,541,35944,050,469
Low Cost Scenario-32,516,84532,105,649
High Cost Scenario-99,719,94587,944,007
ICER ($ per DALY averted) - compared to SQMid Cost Scenario166789764
Low Cost Scenario-308305
High Cost Scenario-2,7912,452
ICER ($ per case averted)- - compared to SQMid Cost Scenario151681662
Low Cost Scenario-266264
High Cost Scenario-2,4082,125
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-2,0282,110
Low Cost Scenario-590617
High Cost Scenario-8,0097,597
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,5871,654
Low Cost Scenario-462483
High Cost Scenario-6,2655,953

GBD Western Europe (WHO European Region*)

Region: Western EuropeOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted231,645269,847265,599
Cases Averted (%age)303534
DALYs Averted115,020132,912130,952
Impact compared to BDCases Averted-38,20233,954
Cases Averted (%age)-98
DALYs Averted-17,89215,932
Total CostsMid Cost Scenario221,849,449353,443,259348,877,459
Low Cost Scenario-257,149,762255,903,404
High Cost Scenario-707,684,944671,474,681
ICER ($ per DALY averted) - compared to SQMid Cost Scenario8421,7191,710
Low Cost Scenario-9941,000
High Cost Scenario-4,3844,173
ICER ($ per case averted)- - compared to SQMid Cost Scenario418847843
Low Cost Scenario-490493
High Cost Scenario-2,1592,058
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-7,3557,973
Low Cost Scenario-1,9732,137
High Cost Scenario-27,15328,221
ICER ($ per case averted) - compared to BDMid Cost Scenario-3,4453,741
Low Cost Scenario-9241,003
High Cost Scenario-12,71813,242

GBD Central Asia (WHO European Region*)

Region: Central AsiaOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted-29,82425,582
Cases Averted (%age)-1714
DALYs Averted-27,35023,505
Impact compared to BDCases Averted-29,82425,582
Cases Averted (%age)-1714
DALYs Averted-27,35023,505
Total CostsMid Cost Scenario128,479,451187,774,909183,329,910
Low Cost Scenario-145,488,901144,234,742
High Cost Scenario-360,373,010325,578,012
ICER ($ per DALY averted) - compared to SQMid Cost Scenario-2,1682,334
Low Cost Scenario-622670
High Cost Scenario-8,4798,385
ICER ($ per case averted)- - compared to SQMid Cost Scenario-1,9882,144
Low Cost Scenario-570616
High Cost Scenario-7,7757,705
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-2,1682,334
Low Cost Scenario-622670
High Cost Scenario-8,4798,385
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,9882,144
Low Cost Scenario-570616
High Cost Scenario-7,7757,705

GBD North Africa and Middle East (WHO Eastern Mediterranean Region*)

Region: North Africa and Middle EastOutcome MeasureInfant Vacc + BD 90% by 2020PPT guided by High VL (2021)PPT guided by HBeAg (2021)
Impact compared to SQCases Averted223,954401,034362,409
Cases Averted (%age)162927
DALYs Averted209,352353,866322,704
Impact compared to BDCases Averted-177,080138,454
Cases Averted (%age)-1713
DALYs Averted-144,515113,352
Total CostsMid Cost Scenario979,043,4431,238,819,5451,206,075,150
Low Cost Scenario-1,056,283,3391,046,653,538
High Cost Scenario-2,070,060,4001,818,171,043
ICER ($ per DALY averted) - compared to SQMid Cost Scenario5481,0581,059
Low Cost Scenario-543565
High Cost Scenario-3,4072,956
ICER ($ per case averted)- - compared to SQMid Cost Scenario512934943
Low Cost Scenario-479503
High Cost Scenario-3,0072,632
ICER ($ per DALY averted) - compared to BDMid Cost Scenario-1,7982,003
Low Cost Scenario-534596
High Cost Scenario-7,5507,403
ICER ($ per case averted) - compared to BDMid Cost Scenario-1,4671,640
Low Cost Scenario-436488
High Cost Scenario-6,1616,061

Appendix B. Approximate mapping of GBD regions to WHO regions

Given the overlap between the Western Pacific and South-East Asian regions, these regions are approximated together for the results.

WHO regionGBD region (plus additional countries)Exceptions
PAHOAndean Latin AmericaAll
PAHOCentral Latin AmericaAll
PAHOSouthern Latin AmericaAll
PAHOTropical Latin AmericaAll
PAHOHigh-income North AmericaAll
PAHOCarribeanExcept Netherlands Antilles (ANT)
WPROAustralasiaAll
WPROOceaniaAll
WPROHigh-income Asia PacificAll
WPROPlus Mongolia (MNG) (GBD Central Asia)
WPROPlus Cambodia (KHM), Laos (LAO), Malaysia (MYS), Philippines (PHL), Vietnam (VNM) (GBD South East Asia)
WPROEast AsiaExcept Democratic People’s Republic of Korea (PRK) and Taiwan (TWN)
EUROCentral EuropeAll
EUROEast EuropeAll
EUROCentral AsiaExcept Mongolia (MNG)
EUROWest EuropeExcept Greenland (GRL)
EUROPlus Turkey (TUR) (GBD North Africa and Middle East)
AFROCentral Sub-Saharan AfricaAll
AFROSouthern Sub-Saharan AfricaAll
AFROEast Sub-Saharan AfricaExcept Djibouti (DJI), Somaria (SOM), Sudan (SDN)
AFROWest Sub-Saharan AfricaExcept Western Sahara (ESH)
AFROPlus Algeria (DZA) (GBD North Africa and Middle East)
SEAROSouth AsiaExcept Afghanistan (AFG), Pakistan (PAK)
SEAROPlus Democratic People’s Republic of Korea (PRK) (GBD East Asia)
EMRONorth Africa and Middle EastExcept Algeria (DZA), Turkey (TUR)
EMROPlus Afghanistan (AFG), Pakistan (PAK) (GBD South Asia)
EMROPlus Djibouti (DJI), Somaria (SOM), Sudan (SDN) (GBD East Sub-Saharan Africa)

Appendix C. WHO estimates on costs of management of end-stage liver disease (ESLD), summarized by region

GBD regionDecompensated Cirrhosis (annual cost, USD)Hepatocellular Carcinoma (annual cost, USD)
medianminimummaximummedianminimummaximum
SE Asia1,0802815,0672,0485459,432
East Asia1,9031,9031,9033,5833,5833,583
South Asia4821771,4189263462,679
Oceania8484596,4801,61488312,032
Central Asia1,2454983,9392,3569567,352
Central Europe6,1482,73211,74911,4225,12121,701
Eastern Europe7,1802,3408,29913,3204,39415,375
NA and ME3,79069739,6927,0771,33072,672
Central Africa1,66616813,9453,14132925,721
East Africa254798,37749415815,518
South Africa2,7263944,9265,1077599,172
West Africa342811,1606621612,198
Andean LA2,6661,2552,7894,9972,3765,225
Central LA3,4837315,1796,6101,3959,639
Southern LA5,1134,4025,1929,5178,2079,662
Tropical LA1,0376721,4021,9491,2482,650
Caribbean2,4672687,8054,62952114,468
Asia Pacific High-Income12,53411,03114,03723,13720,38625,889
Australasia13,82210,85916,78425,49220,07130,914
Western Europe16,0079,90143,31329,49218,31579,260
North America18,65716,66120,65334,33430,68937,980
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