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PREVENTION OF MOTHER-TO-CHILD TRANSMISSION OF HEPATITIS B VIRUS: Guidelines on antiviral prophylaxis in pregnancy July 2020
Web Annex C: Impact and cost–effectiveness of HBV peripartum antiviral therapy
Shevanthi Nayagam, Imperial College, London Timothy Hallett, Imperial College, London Yusuke Shimakawa; Pasteur Institute, Paris Nora Schmit, Imperial College, London Maud Lemoine, Imperial College, London Mark Thursz, Imperial College, London
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Prevention of mother-to-child transmission of hepatitis B virus (HBV): guidelines on antiviral prophylaxis in
pregnancy. Web Annex C. Impact and cost–effectiveness of HBV peripartum antiviral therapy. Nayagam S et
al.
ISBN 978-92-4-000864-9 (electronic version)
© World Health Organization 2020
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Suggested citation. Web Annex C. Nayagam S, Hallet T, Schmit N, Shimakawa Y, Lemoine M, Thursz M.
Impact and cost–effectiveness of HBV peripartum antiviral therapy. In: Prevention of mother-to-child
transmission of hepatitis B virus (HBV): guidelines on antiviral prophylaxis in pregnancy. Geneva: World
Health Organization; 2020. Licence: CC BY-NC-SA 3.0 IGO.
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guidelines on antiviral prophylaxis in pregnancy. It is being made publicly available for transparency purposes
and information, in accordance with the WHO handbook for guideline development, 2nd edition (2014).
1
Contents
ACRONYMS AND ABBREVIATIONS ...................................................................................................................2
BACKGROUND .................................................................................................................................................3
METHODS ........................................................................................................................................................3
STRATEGIES EVALUATED ..................................................................................................................................3
ECONOMIC ANALYSIS ............................................................................................................................................... 4 OUTCOME MEASURES .............................................................................................................................................. 5 COSTINGS .............................................................................................................................................................. 5 SENSITIVITY ANALYSES .............................................................................................................................................. 5
RESULTS ...........................................................................................................................................................7
IMPACT ................................................................................................................................................................. 7
DISCUSSION ................................................................................................................................................... 14
SELECTED REFERENCES................................................................................................................................... 17
APPENDICES................................................................................................................................................... 18
APPENDIX A: REGIONAL SUMMARY RESULTS (SEE APPENDIX B FOR APPROXIMATE MAPPING OF GBD TO WHO REGIONS*) ...... 18 APPENDIX B: APPROXIMATE MAPPING OF GBD REGIONS TO WHO REGIONS ................................................................... 29 GIVEN THE OVERLAP BETWEEN THE WESTERN PACIFIC AND SOUTH-EAST ASIAN REGIONS, THESE REGIONS ARE APPROXIMATED
TOGETHER FOR THE RESULTS. ................................................................................................................................... 29 APPENDIX C: WHO ESTIMATES ON COSTS OF MANAGEMENT OF END-STAGE LIVER DISEASE (ESLD), SUMMARIZED BY REGION ... 30
2
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
3
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.
4
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 1. Main strategies modelled.*The coverage of PPT is only among those who get BD vaccination
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.
For all Pregnant
women
For women who
test HBsAg +ve
1 Infant Vacc to 90% by 2020 90 SQ - - -
2 Infant Vacc + BD to 90% by 2020 90 90 - - -
3 2 + PPT guided by High VL (2021) 90 90 HBsAg HBV VL High VL*
4 2 + PPT guided by HBeAg (2021) 90 90 HBsAg HBeAg Eag positive*
Eligibility for
antiviral therapy
Strategy
NumberDescription
Infant Vacc
coverage
BD vacc
coverage
Diagnostic Tests Used
5
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 2. Main intervention costs
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
COSTS (USD)Baseline
analysisLow High
HBsAg Test 1.6 0.4 2.8
HBeAg Test 7.5 3 40
HBV Viral Load 15 5 100
Peripartum treatment: Drug 10 - -
Peripartum treatment: monitoring 10 5 40
Birth Dose Vaccination 1 - -
Infant Vaccination 1 - .-
6
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 3. Assumption sets used for sensitivity analysis on transmission parameters
7
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)
A s s u m p t i o n
S e t s D e s c r i p t i o n F r a c t i o n o f H B e A g
+ v e
w i t h H i g h
V L F r a c t i o n
o f H B e A g -
v e w i t h
H i g h V L
M T C T w i t h
B D + P P T
i n t h o s e w i t h
H i g h V L
1 B a s e l i n e
p a r a m e t e r s 0 . 9 0 . 0 5 0 . 0 1
2 V a r y i n g
F r a c t i o n H i g h V L : G l o b a l
a v e r a g e f o r H B e A g + v e 0 . 8 3 0 . 1 3 0 . 0 1
3 V a r y i n g
F r a c t i o n H i g h V L : G l o b a l
a v e r a g e f o r H B e A g - v e 0 . 9 6 0 . 0 7 0 . 0 1
4 V a r y i n g
F r a c t i o n H i g h V L : H i g h e r
c o r r e l a t i o n b e t w e e n V L
a n d H B e A g 1 0 . 0 0 1 0 . 0 1
5 L o w e r
e f f i c a c y o f B D + P P T 0 . 9 0 . 0 5 0 . 0 5
6 L o w e r
e f f i c a c y o f B D + P P T 0 . 9 0 . 0 5 0 . 1
8
Table 4(B). Summary of global impact – long term (to 2100)
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)
New chronic
infections
Averted
New Neonatal
infections
Averted
DALYs
Averted
New chronic
infections
Averted
New
Neonatal
infections
Averted
DALYS
averted
Infant Vacc + BD 90% by 2020 56,835,741 40,582,235 122,171,349 - - -
PPT guided by High VL (2021) 66,601,188 47,598,754 147,213,941 9,765,446 7,016,519 25,042,592
PPT guided by HBeAg (2021) 65,246,027 46,631,438 143,886,134 8,410,286 6,049,203 21,714,785
GLOBAL IMPACT
(2020 - 2100, undiscounted)
Compared to SQ Compared to BD
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
costs
ICER with high
diagnostic costs
South Africa AFRO 388 1491 1493 VL 2 0.1% 481 6653
West Africa AFRO 242 1066 992 eAg 74 7.5% 357 4946
Central Africa AFRO 285 1106 1037 eAg 69 6.7% 365 4950
East Africa AFRO 349 1250 1220 eAg 30 2.5% 405 5461
North Africa & Middle East EMRO 548 1798 2003 VL 205 11.4% 534 7550
Eastern Europe EURO 166 2028 2110 VL 82 4.0% 590 8009
Western Europe EURO 842 7355 7973 VL 618 8.4% 1973 28221
Central Europe EURO 333 1069 1068 eAg 1 0.1% 971 13903
Central Asia EURO - 2168 2334 VL 166 7.7% 622 8479
Southern LA PAHO 133 1271 1237 eAg 34 2.7% 401 5316
Tropical LA PAHO 952 7320 8320 VL 1000 13.7% 1916 29392
Andean LA PAHO 198 1849 1932 VL 83 4.5% 548 7505
Caribbean PAHO 275 1908 2026 VL 118 6.2% 557 7650
Central LA PAHO 791 2031 2071 VL 40 2.0% 1595 24133
North America PAHO 854 6743 7389 VL 646 9.6% 1824 26236
South Asia WPRO/SEARO 286 2227 2297 VL 70 3.1% 647 8733
SE Asia WPRO/SEARO 314 2214 2319 VL 105 4.7% 639 8687
Asia Pacific High-Income WPRO/SEARO 397 3194 3300 VL 106 3.3% 938 12678
Australasia WPRO/SEARO 397 2885 2964 VL 79 2.7% 866 11734
East Asia WPRO/SEARO - 890 835 eAg 55 6.6% 293 3895
Oceania WPRO/SEARO 223 1823 1852 VL 29 1.6% 549 7391
N e w c h r o n i c i n f e c t i o n s A v e r t e d
N e w N e o n a t a l i n f e c t i o n s A v e r t e d
D A L Y s A v e r t e d
N e w c h r o n i c i n f e c t i o n s A v e r t e d
N e w N e o n a t a l i n f e c t i o n s A v e r t e d
D A L Y S a v e r t e d
I n f a n t V a c c + B D 9 0 % b y 2 0 2 0 1 8 , 1 4 5 , 6 1 2 1 3 , 7 6 6 , 2 7 1 3 8 , 5 2 9 - - - P P T g u i d e d b y H i g h V L ( 2 0 2 1 ) 2 2 , 2 4 7 , 6 4 3 1 7 , 0 6 9 , 3 1 3 4 0 , 7 5 7 4 , 1 0 2 , 0 3 2 3 , 3 0 3 , 0 4 2 2 , 2 2 7 P P T g u i d e d b y H B e A g ( 2 0 2 1 ) 2 1 , 7 6 6 , 1 8 5 1 6 , 6 8 2 , 5 5 6 4 0 , 5 1 8 3 , 6 2 0 , 5 7 3 2 , 9 1 6 , 2 8 5 1 , 9 8 9
G L O B A L I M P A C T ( 2 0 2 0 - 2 0 3 0 , u n d i s c o u n t e d )
C o m p a r e d t o S Q C o m p a r e d t o B D
9
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)
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
10
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 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
A viral load-guided strategy is more
more likely to be cost effective (strategy 3)
An HBeAg-guided strategy is more likely to be cost effective (strategy 4)
11
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 5. Summary results table for the South-East Asia Region (see Appendix B for summary tables of each of the other GBD regions)
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)
REGION: South East Asia Outcome Measure
Infant Vacc + BD 90%
by 2020
PPT guided by High
VL (2021)
PPT guided by HBeAg
(2021)
Cases Averted 1,464,167 1,861,897 1,813,965
Cases Averted (%age) 31 39 38
DALYs Averted 1,167,841 1,464,989 1,429,807
Cases Averted - 397,730 349,798
Cases Averted (%age) - 17 15
DALYs Averted - 297,148 261,966
Mid Cost Scenario 1,304,043,544 1,961,877,869 1,911,558,355
Low Cost Scenario - 1,493,955,050 1,480,094,603
High Cost Scenario - 3,885,476,062 3,487,740,778
Mid Cost Scenario 314 699 681
Low Cost Scenario - 380 380
High Cost Scenario - 2,012 1,784
Mid Cost Scenario 250 550 537
Low Cost Scenario - 299 299
High Cost Scenario - 1,583 1,406
Mid Cost Scenario - 2,214 2,319
Low Cost Scenario - 639 672
High Cost Scenario - 8,687 8,336
Mid Cost Scenario - 1,654 1,737
Low Cost Scenario - 477 503
High Cost Scenario - 6,490 6,243
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
0 1 2 3 4 5 6 7 8 9 10
Cost (USD) vs SQ 108
0
2
4
6
8
10
12
14
DA
LY
s A
ve
rte
d v
s S
Q
105 Incremental Costs and Impacts compared to SQ (to 2100)
Infant Vacc + BD 90% by 2020
PPT guided by High VL (2021)
PPT guided by HBeAg (2021)
Southeast Asia
0 1 2 3 4 5 6
Cost (USD) vs BD 108
0
0.5
1
1.5
2
2.5
DA
LY
s A
vert
ed
vs B
D
105 Incremental Costs and Impacts compared to BD (to 2100)
PPT guided by High VL (2021)
PPT guided by HBeAg (2021)
Southeast Asia
12
Table 6. Table 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)
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.
(A) Method 1: uniform costs (results for the South-East Asia Region)
(B) Method 2: using provisional WHO costs for selected countries in the Region (results for the South-East Asia Region)
Cambodia 1,512 756
Indonesia 3,894 1947
Lao PDR 2,568 1284
Malaysia 11,239 5619
Maldives 10,224 5112
Myanmar 1,326 663
Philippines 3,103 1551
Sri Lanka 4,102 2051
Thailand 7,274 3637
Timor-Leste 2,036 1018
Vietnam 2,564 1282
Estimate of Health
Opportunity Cost
GDP per Capita
(2018 USD)SOUTHEAST ASIA
Strategy Costs of ESLD = $500 Costs of ESLD = $2500 Costs of ESLD = $0 (ie basecase)
PPT guided by High VL (2021) 2,180 2,044 2,214
PPT guided by HBeAg (2021) 2,285 2,149 2,319
13
Table 8 summarizes the impact and cost–effectiveness results of varying the transmission parameters, for the two PPT strategies (strategy 3 and 4). As the correlation between HBeAg and viral load increases, the relative difference in cost–effectiveness of the two PPT strategies reduces. Having a higher overall percentage of all HBV-infected persons or HBeAg-negative persons with a high viral load who would benefit from antiviral therapy also improves the cost–effectiveness of a viral load-guided PPT strategy. If a BD + PPT strategy had a lower effectiveness, this would reduce the impact of a PPT strategy and increase the ICER to US$ 2801–US$ 2931 per DALY averted if residual transmission was 5% or to US$ 4196–US$ 4379 if residual transmission was 10%. Table 8. Results 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)
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).
Strategy Costs of ESLD median Costs of ESLD highest Costs of ESLD lowest
PPT guided by High VL (2021) 2,125 1,801 2,191
PPT guided by HBeAg (2021) 2,230 1,906 2,296
Scenarios Cases Averted DALYs averted
ICER ($ 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) 397,730 297,148 2,214 1,654
PPT guided by HBeAg (in 2021) 349,798 261,966 2,319 1,737
Assumption Set 2
Fraction High VL: HBeAg pos (0.83), HBeAg neg (0.13)
PPT guided by High VL (in 2021) 483,636 359,226 1,851 1,375
PPT guided by HBeAg (in 2021) 354,891 264,769 2,296 1,713
Assumption Set 3
Fraction High VL: HBeAg pos (0.96), HBeAg neg (0.07)
PPT guided by High VL (in 2021) 416,469 310,740 2,129 1,589
PPT guided by HBeAg (in 2021) 351,759 263,223 2,308 1,727
Assumption Set 4
Fraction High VL: HBeAg pos (1.0), HBeAg neg (0.001)
PPT guided by High VL (in 2021) 359,153 269,326 2,442 1,831
PPT guided by HBeAg (in 2021) 350,220 262,759 2,311 1,734
Assumption Set 5
Lower BD + PPT efficacy (5% residual transmission)
PPT guided by High VL (in 2021) 315,363 235,052 2,801 2,088
PPT guided by HBeAg (in 2021) 277,470 207,386 2,931 2,191
Assumption Set 6
Lower BD + PPT efficacy (10% residual transmission)
PPT guided by High VL (in 2021) 211,391 157,087 4,196 3,118
PPT guided by HBeAg (in 2021) 186,302 138,896 4,379 3,265
14
Fig. 4. Costs 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 9. Sensitivity analysis on various combinations of discount rate
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
0%, 0% 3%, 3% 6%, 6% 6%, 0% 0%, 6%
PPT guided by High VL (in 2021) 1,070 2,214 5,626 203 29,690
PPT guided by HBeAg (in 2021) 1,169 2,319 5,686 206 32,255
ScenarioCost ($) per DALY averted
15
woman has one ANC HBsAg screening test per childbearing lifetime, rather than a test repeated at each pregnancy. However, in practice, there might be a bias towards retesting at each pregnancy, for example, due to movement between clinics, lack of records being kept or health-care worker preference, which would make a screening and PPT strategy less cost effective, particularly in low-burden settings. Under the current assumptions and given the available data, HBV viral load-guided or HBeAg-guided strategies have similar cost–effectiveness ratios and the choice of strategy would depend on the relative cost of diagnostics available and local-level considerations, including access to diagnostics and laboratory facilities. Further consideration may be appropriate about how different strategies might be adopted depending on urban or rural settings. It is important to note that regional-level results provide some guide for policy-making, although they can give only a broad indication as to whether it may be more or less likely that a particular strategy would be cost effective under the simplifying assumptions adopted. Given the heterogeneity of epidemiological, cost and health opportunity costs of countries within regions, averaging across countries within a region obscures this variability. Therefore, regional analyses cannot directly inform decisions about the allocation of resources at the local level where the value is realized, and does not replace the need for careful analysis using local data in each country. It should be noted that not all countries currently have access to diagnostics at the costs modelled. GeneXpert HBV viral load test kits are available for US$ 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
16
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.
17
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. 2. 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;30(12):2212–9. 3. 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;12:131. 4. GLOBOCAN 2012: estimated cancer incidence, mortality and prevalence worldwide in 2012. Lyon: International Agency for Research on Cancer, World Health Organization; 2015. 5. 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). 6. 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. 7. 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, 2016–30. Lancet Glob Health. 2019;7(9):e1180–e8. 8. 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. 9. 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. 10. 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. 11. 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. 12. 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. 13. 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.
18
Appendices
Appendix A: Regional summary results (see Appendix B for approximate mapping of GBD to WHO regions*) GBD West Africa (WHO African Region)
GBD Southern Africa (WHO African Region)
Outcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 7,448,946 8,963,962 8,738,702
Cases Averted (%age) 38 46 45
DALYs Averted 4,582,585 5,506,258 5,371,223
Cases Averted - 1,515,016 1,289,757
Cases Averted (%age) - 25 22
DALYs Averted - 923,674 788,638
Mid Cost Scenario 2,420,024,216 3,404,312,523 3,202,411,988
Low Cost Scenario 2,420,024,216 2,758,645,708 2,701,770,540
High Cost Scenario 2,420,024,216 6,988,848,141 5,406,750,180
Mid Cost Scenario 242 380 352
Low Cost Scenario - 263 259
High Cost Scenario - 1,031 762
Mid Cost Scenario 149 233 216
Low Cost Scenario - 161 159
High Cost Scenario - 633 469
Mid Cost Scenario - 1,066 992
Low Cost Scenario - 367 357
High Cost Scenario - 4,946 3,787
Mid Cost Scenario - 650 607
Low Cost Scenario - 224 218
High Cost Scenario - 0 0
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
Region: Southern AfricaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 3,021,714 3,681,778 3,565,422
Cases Averted (%age) 39 48 46
DALYs Averted 1,980,445 2,377,701 2,308,409
Cases Averted 0 660,064 543,708
Cases Averted (%age) 0 21 18
DALYs Averted 0 397,256 327,964
Mid Cost Scenario 1,802,884,275 2,395,095,499 2,292,409,293
Low Cost Scenario - 1,993,990,860 1,964,448,677
High Cost Scenario - 4,445,880,150 3,648,456,343
Mid Cost Scenario 388 572 545
Low Cost Scenario - 404 403
High Cost Scenario - 1,435 1,132
Mid Cost Scenario 254 370 353
Low Cost Scenario - 261 261
High Cost Scenario - 927 733
Mid Cost Scenario - 1,491 1,493
Low Cost Scenario - 481 493
High Cost Scenario - 6,653 5,627
Mid Cost Scenario - 897 900
Low Cost Scenario - 290 297
High Cost Scenario - 4,004 3,394
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
19
GBD Central Africa (WHO African Region)
GBD East Africa (WHO African Region)
Region: Central AfricaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 1,482,290 1,748,298 1,715,362
Cases Averted (%age) 40 47 46
DALYs Averted 985,219 1,160,290 1,139,252
Cases Averted - 266,008 233,072
Cases Averted (%age) - 24 21
DALYs Averted - 175,071 154,033
Mid Cost Scenario 528,630,986 722,300,481 688,322,047
Low Cost Scenario - 594,268,216 584,917,600
High Cost Scenario - 1,395,220,758 1,126,478,713
Mid Cost Scenario 285 409 386
Low Cost Scenario - 298 296
High Cost Scenario - 989 771
Mid Cost Scenario 189 271 257
Low Cost Scenario - 198 196
High Cost Scenario - 656 512
Mid Cost Scenario - 1,106 1,037
Low Cost Scenario - 375 365
High Cost Scenario - 4,950 3,881
Mid Cost Scenario - 728 685
Low Cost Scenario - 247 241
High Cost Scenario - 3,258 2,565
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
Region: East AfricaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 4,300,727 5,091,229 4,980,788
Cases Averted (%age) 40 47 46
DALYs Averted 3,105,809 3,662,247 3,586,586
Cases Averted - 790,502 680,061
Cases Averted (%age) - 24 21
DALYs Averted - 556,438 480,778
Mid Cost Scenario 2,135,967,363 2,831,280,141 2,722,405,683
Low Cost Scenario - 2,361,469,334 2,331,019,905
High Cost Scenario - 5,174,740,715 4,319,164,915
Mid Cost Scenario 349 486 466
Low Cost Scenario - 357 356
High Cost Scenario - 1,126 911
Mid Cost Scenario 252 349 335
Low Cost Scenario - 257 257
High Cost Scenario - 810 656
Mid Cost Scenario - 1,250 1,220
Low Cost Scenario - 405 406
High Cost Scenario - 5,461 4,541
Mid Cost Scenario - 880 862
Low Cost Scenario - 285 287
High Cost Scenario - 3,844 3,210
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
20
GBD South-East Asia (WHO Western Pacific Region/South-East Asia Region*)
GBD East Asia (WHO Western Pacific Region/South-East Asia Region*)
REGION: South East AsiaOutcome Measure
Infant Vacc + BD 90%
by 2020
PPT guided by High
VL (2021)
PPT guided by HBeAg
(2021)
Cases Averted 1,464,167 1,861,897 1,813,965
Cases Averted (%age) 31 39 38
DALYs Averted 1,167,841 1,464,989 1,429,807
Cases Averted - 397,730 349,798
Cases Averted (%age) - 17 15
DALYs Averted - 297,148 261,966
Mid Cost Scenario 1,304,043,544 1,961,877,869 1,911,558,355
Low Cost Scenario - 1,493,955,050 1,480,094,603
High Cost Scenario - 3,885,476,062 3,487,740,778
Mid Cost Scenario 314 699 681
Low Cost Scenario - 380 380
High Cost Scenario - 2,012 1,784
Mid Cost Scenario 250 550 537
Low Cost Scenario - 299 299
High Cost Scenario - 1,583 1,406
Mid Cost Scenario - 2,214 2,319
Low Cost Scenario - 639 672
High Cost Scenario - 8,687 8,336
Mid Cost Scenario - 1,654 1,737
Low Cost Scenario - 477 503
High Cost Scenario - 6,490 6,243
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
Region: East Asia Outcome Measure Infant Vacc + BD 90% by 2020PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted - 371,951 332,967
Cases Averted (%age) - 9 8
DALYs Averted - 324,055 290,487
Cases Averted - 371,951 332,967
Cases Averted (%age) - 9 8
DALYs Averted - 324,055 290,487
Mid Cost Scenario 440,609,368 728,956,877 683,040,379
Low Cost Scenario - 538,082,599 525,659,340
High Cost Scenario - 1,702,820,819 1,337,414,039
Mid Cost Scenario - 890 835
Low Cost Scenario - 301 293
High Cost Scenario - 3,895 3,087
Mid Cost Scenario - 775 728
Low Cost Scenario - 262 255
High Cost Scenario - 3,393 2,693
Mid Cost Scenario - 890 835
Low Cost Scenario - 301 293
High Cost Scenario - 3,895 3,087
Mid Cost Scenario - 775 728
Low Cost Scenario - 262 255
High Cost Scenario - 3,393 2,693
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
21
GBD South Asia (WHO Western Pacific Region/South-East Asia Region*)
GBD Oceania (WHO Western Pacific Region/South-East Asia Region*)
Region: South AsiaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 12,589,435 14,432,853 14,235,505
Cases Averted (%age) 37 43 42
DALYs Averted 8,835,570 10,140,370 10,004,278
Cases Averted - 1,843,417 1,646,070
Cases Averted (%age) - 18 16
DALYs Averted - 1,304,800 1,168,708
Mid Cost Scenario 5,648,124,977 8,553,863,233 8,332,941,627
Low Cost Scenario - 6,491,906,028 6,431,866,407
High Cost Scenario - 17,043,502,526 15,287,955,557
Mid Cost Scenario 286 535 521
Low Cost Scenario - 332 330
High Cost Scenario - 1,373 1,216
Mid Cost Scenario 200 376 366
Low Cost Scenario - 233 232
High Cost Scenario - 964 854
Mid Cost Scenario - 2,227 2,297
Low Cost Scenario - 647 671
High Cost Scenario - 8,733 8,248
Mid Cost Scenario - 1,576 1,631
Low Cost Scenario - 458 476
High Cost Scenario - 6,182 5,856
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
Region: OceaniaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 26,404 42,829 40,947
Cases Averted (%age) 19 32 30
DALYs Averted 18,811 29,796 28,541
Cases Averted - 16,426 14,544
Cases Averted (%age) - 18 16
DALYs Averted - 10,985 9,730
Mid Cost Scenario 39,362,349 59,385,796 57,384,208
Low Cost Scenario - 45,390,893 44,841,603
High Cost Scenario - 120,556,750 104,710,993
Mid Cost Scenario 223 813 778
Low Cost Scenario - 343 339
High Cost Scenario - 2,866 2,436
Mid Cost Scenario 159 565 542
Low Cost Scenario - 239 236
High Cost Scenario - 1,994 1,698
Mid Cost Scenario - 1,823 1,852
Low Cost Scenario - 549 563
High Cost Scenario - 7,391 6,716
Mid Cost Scenario - 1,219 1,239
Low Cost Scenario - 367 377
High Cost Scenario - 4,943 4,493
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
22
GBD Asia Pacific high-income (WHO Western Pacific Region/South-East Asia Region*)
GBD Australasia (WHO Western Pacific Region/South-East Asia Region*)
Region: Asia Pacific High-IncomeOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 176,835 222,606 217,360
Cases Averted (%age) 21 27 26
DALYs Averted 86,905 107,410 105,073
Cases Averted - 45,771 40,525
Cases Averted (%age) - 8 7
DALYs Averted - 20,505 18,168
Mid Cost Scenario 131,039,923 196,540,998 190,989,249
Low Cost Scenario - 150,280,419 148,757,173
High Cost Scenario - 391,004,857 347,064,505
Mid Cost Scenario 397 931 899
Low Cost Scenario - 501 497
High Cost Scenario - 2,742 2,385
Mid Cost Scenario 195 449 435
Low Cost Scenario - 242 240
High Cost Scenario - 1,323 1,153
Mid Cost Scenario - 3,194 3,300
Low Cost Scenario - 938 975
High Cost Scenario - 12,678 11,891
Mid Cost Scenario - 1,431 1,479
Low Cost Scenario - 420 437
High Cost Scenario - 5,680 5,331
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
Region: AustralasiaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 34,845 39,781 39,147
Cases Averted (%age) 34 39 39
DALYs Averted 16,899 19,129 18,847
Cases Averted - 4,936 4,303
Cases Averted (%age) - 11 10
DALYs Averted - 2,230 1,947
Mid Cost Scenario 13,037,788 19,469,740 18,810,882
Low Cost Scenario - 14,968,425 14,785,278
High Cost Scenario - 39,198,351 34,010,269
Mid Cost Scenario 397 687 662
Low Cost Scenario - 452 449
High Cost Scenario - 1,718 1,469
Mid Cost Scenario 192 330 319
Low Cost Scenario - 217 216
High Cost Scenario - 826 707
Mid Cost Scenario - 2,885 2,964
Low Cost Scenario - 866 897
High Cost Scenario - 11,734 10,769
Mid Cost Scenario - 1,303 1,342
Low Cost Scenario - 391 406
High Cost Scenario - 5,300 4,874
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
23
GBD Andean Latin America (WHO Pan American Health Association)
GBD Andean Latin America (WHO Pan American Health Association)
Region: Andean Latin AmericaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 190,320 233,111 227,012
Cases Averted (%age) 33 41 40
DALYs Averted 179,486 217,093 211,872
Cases Averted - 42,791 36,692
Cases Averted (%age) - 16 14
DALYs Averted - 37,607 32,385
Mid Cost Scenario 132,107,594 201,658,374 194,661,445
Low Cost Scenario - 152,707,987 150,733,204
High Cost Scenario - 414,335,565 359,570,104
Mid Cost Scenario 198 484 463
Low Cost Scenario - 259 256
High Cost Scenario - 1,464 1,241
Mid Cost Scenario 187 451 432
Low Cost Scenario - 241 239
High Cost Scenario - 1,363 1,159
Mid Cost Scenario - 1,849 1,932
Low Cost Scenario - 548 575
High Cost Scenario - 7,505 7,024
Mid Cost Scenario - 1,625 1,705
Low Cost Scenario - 481 508
High Cost Scenario - 6,595 6,199
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
Region: Central Latin AmericaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 112,431 158,914 152,270
Cases Averted (%age) 23 32 31
DALYs Averted 105,803 145,356 139,777
Cases Averted - 46,482 39,838
Cases Averted (%age) - 14 12
DALYs Averted - 39,553 33,974
Mid Cost Scenario 553,591,464 792,593,363 785,311,374
Low Cost Scenario - 616,679,421 614,624,467
High Cost Scenario - 1,430,498,508 1,373,498,258
Mid Cost Scenario 791 2,220 2,257
Low Cost Scenario - 1,010 1,035
High Cost Scenario - 6,609 6,465
Mid Cost Scenario 744 2,031 2,071
Low Cost Scenario - 924 950
High Cost Scenario - 6,045 5,934
Mid Cost Scenario - 6,043 6,820
Low Cost Scenario - 1,595 1,796
High Cost Scenario - 22,170 24,133
Mid Cost Scenario - 5,142 5,816
Low Cost Scenario - 1,357 1,532
High Cost Scenario - 18,865 20,581
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
24
GBD Southern Latin America (WHO Pan American Health Association)
GBD Tropical Latin America (WHO Pan American Health Association)
Region: Southern Latin AmericaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 176,104 209,810 206,407
Cases Averted (%age) 32 38 37
DALYs Averted 143,778 169,664 167,101
Cases Averted - 33,706 30,303
Cases Averted (%age) - 13 12
DALYs Averted - 25,886 23,322
Mid Cost Scenario 56,208,508 89,106,341 85,049,483
Low Cost Scenario - 66,648,007 65,552,877
High Cost Scenario - 193,808,992 161,492,435
Mid Cost Scenario 133 307 287
Low Cost Scenario - 175 171
High Cost Scenario - 924 745
Mid Cost Scenario 109 248 233
Low Cost Scenario - 141 138
High Cost Scenario - 747 603
Mid Cost Scenario - 1,271 1,237
Low Cost Scenario - 403 401
High Cost Scenario - 5,316 4,514
Mid Cost Scenario - 976 952
Low Cost Scenario - 310 308
High Cost Scenario - 4,082 3,474
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
Region: Tropical Latin AmericaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 98,874 124,313 120,608
Cases Averted (%age) 28 35 34
DALYs Averted 98,387 121,223 117,957
Cases Averted - 25,439 21,734
Cases Averted (%age) - 13 11
DALYs Averted - 22,836 19,570
Mid Cost Scenario 402,197,994 569,359,814 565,022,355
Low Cost Scenario - 445,958,469 444,731,119
High Cost Scenario - 1,011,309,714 977,397,844
Mid Cost Scenario 952 2,151 2,174
Low Cost Scenario - 1,133 1,154
High Cost Scenario - 5,797 5,670
Mid Cost Scenario 947 2,098 2,126
Low Cost Scenario - 1,105 1,129
High Cost Scenario - 5,653 5,545
Mid Cost Scenario - 7,320 8,320
Low Cost Scenario - 1,916 2,173
High Cost Scenario - 26,673 29,392
Mid Cost Scenario - 6,571 7,492
Low Cost Scenario - 1,720 1,957
High Cost Scenario - 23,944 26,466
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
25
GBD Caribbean (WHO Pan American Health Association)
GBD North America (WHO Pan American Health Association)
Region: CaribbeanOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 116,591 138,083 134,903
Cases Averted (%age) 35 41 40
DALYs Averted 113,348 132,306 129,563
Cases Averted - 21,492 18,311
Cases Averted (%age) - 14 12
DALYs Averted - 18,959 16,215
Mid Cost Scenario 70,563,543 106,734,957 103,408,934
Low Cost Scenario - 81,130,199 80,190,735
High Cost Scenario - 215,598,322 189,575,213
Mid Cost Scenario 275 509 494
Low Cost Scenario - 315 315
High Cost Scenario - 1,332 1,159
Mid Cost Scenario 267 488 474
Low Cost Scenario - 302 302
High Cost Scenario - 1,276 1,113
Mid Cost Scenario - 1,908 2,026
Low Cost Scenario - 557 594
High Cost Scenario - 7,650 7,339
Mid Cost Scenario - 1,683 1,794
Low Cost Scenario - 492 526
High Cost Scenario - 6,748 6,499
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
Region: North AmericaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 108,840 133,859 130,673
Cases Averted (%age) 25 31 31
DALYs Averted 57,571 69,649 68,132
Cases Averted - 25,019 21,833
Cases Averted (%age) - 9 8
DALYs Averted - 12,077 10,561
Mid Cost Scenario 159,948,693 241,393,195 237,981,270
Low Cost Scenario - 181,982,948 181,034,491
High Cost Scenario - 463,892,012 437,026,243
Mid Cost Scenario 854 1,875 1,867
Low Cost Scenario - 1,022 1,031
High Cost Scenario - 5,070 4,789
Mid Cost Scenario 452 976 973
Low Cost Scenario - 532 538
High Cost Scenario - 2,638 2,497
Mid Cost Scenario - 6,743 7,389
Low Cost Scenario - 1,824 1,997
High Cost Scenario - 25,166 26,236
Mid Cost Scenario - 3,255 3,574
Low Cost Scenario - 881 966
High Cost Scenario - 12,148 12,691
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
26
GBD Central Europe (WHO European Region*)
GBD East Europe (WHO European Region*)
Region: Central EuropeOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 29,510 40,626 39,136
Cases Averted (%age) 15 20 20
DALYs Averted 28,691 38,208 36,949
Cases Averted - 11,116 9,626
Cases Averted (%age) - 7 6
DALYs Averted - 9,517 8,258
Mid Cost Scenario 55,940,970 89,819,989 88,191,893
Low Cost Scenario - 65,184,347 64,728,161
High Cost Scenario - 183,528,229 170,750,016
Mid Cost Scenario 333 1,137 1,131
Low Cost Scenario - 492 496
High Cost Scenario - 3,589 3,366
Mid Cost Scenario 324 1,069 1,068
Low Cost Scenario - 463 469
High Cost Scenario - 3,376 3,178
Mid Cost Scenario - 3,560 3,905
Low Cost Scenario - 971 1,064
High Cost Scenario - 13,407 13,903
Mid Cost Scenario - 3,048 3,350
Low Cost Scenario - 832 913
High Cost Scenario - 0 0
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
Region: East EuropeOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 19,793 31,372 30,001
Cases Averted (%age) 12 18 18
DALYs Averted 18,005 27,064 26,004
Cases Averted - 11,579 10,209
Cases Averted (%age) - 8 7
DALYs Averted - 9,059 7,999
Mid Cost Scenario 27,170,113 45,541,359 44,050,469
Low Cost Scenario - 32,516,845 32,105,649
High Cost Scenario - 99,719,945 87,944,007
Mid Cost Scenario 166 789 764
Low Cost Scenario - 308 305
High Cost Scenario - 2,791 2,452
Mid Cost Scenario 151 681 662
Low Cost Scenario - 266 264
High Cost Scenario - 2,408 2,125
Mid Cost Scenario - 2,028 2,110
Low Cost Scenario - 590 617
High Cost Scenario - 8,009 7,597
Mid Cost Scenario - 1,587 1,654
Low Cost Scenario - 462 483
High Cost Scenario - 6,265 5,953
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
27
GBD Western Europe (WHO European Region*)
GBD Central Asia (WHO European Region*)
Region: Western EuropeOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 231,645 269,847 265,599
Cases Averted (%age) 30 35 34
DALYs Averted 115,020 132,912 130,952
Cases Averted - 38,202 33,954
Cases Averted (%age) - 9 8
DALYs Averted - 17,892 15,932
Mid Cost Scenario 221,849,449 353,443,259 348,877,459
Low Cost Scenario - 257,149,762 255,903,404
High Cost Scenario - 707,684,944 671,474,681
Mid Cost Scenario 842 1,719 1,710
Low Cost Scenario - 994 1,000
High Cost Scenario - 4,384 4,173
Mid Cost Scenario 418 847 843
Low Cost Scenario - 490 493
High Cost Scenario - 2,159 2,058
Mid Cost Scenario - 7,355 7,973
Low Cost Scenario - 1,973 2,137
High Cost Scenario - 27,153 28,221
Mid Cost Scenario - 3,445 3,741
Low Cost Scenario - 924 1,003
High Cost Scenario - 12,718 13,242
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
Region: Central AsiaOutcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted - 29,824 25,582
Cases Averted (%age) - 17 14
DALYs Averted - 27,350 23,505
Cases Averted - 29,824 25,582
Cases Averted (%age) - 17 14
DALYs Averted - 27,350 23,505
Mid Cost Scenario 128,479,451 187,774,909 183,329,910
Low Cost Scenario - 145,488,901 144,234,742
High Cost Scenario - 360,373,010 325,578,012
Mid Cost Scenario - 2,168 2,334
Low Cost Scenario - 622 670
High Cost Scenario - 8,479 8,385
Mid Cost Scenario - 1,988 2,144
Low Cost Scenario - 570 616
High Cost Scenario - 7,775 7,705
Mid Cost Scenario - 2,168 2,334
Low Cost Scenario - 622 670
High Cost Scenario - 8,479 8,385
Mid Cost Scenario - 1,988 2,144
Low Cost Scenario - 570 616
High Cost Scenario - 7,775 7,705
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
28
GBD North Africa and Middle East (WHO Eastern Mediterranean Region*)
Region: North Africa and Middle
East Outcome Measure Infant Vacc + BD 90% by 2020
PPT guided by High VL
(2021)
PPT guided by HBeAg
(2021)
Cases Averted 223,954 401,034 362,409
Cases Averted (%age) 16 29 27
DALYs Averted 209,352 353,866 322,704
Cases Averted - 177,080 138,454
Cases Averted (%age) - 17 13
DALYs Averted - 144,515 113,352
Mid Cost Scenario 979,043,443 1,238,819,545 1,206,075,150
Low Cost Scenario - 1,056,283,339 1,046,653,538
High Cost Scenario - 2,070,060,400 1,818,171,043
Mid Cost Scenario 548 1,058 1,059
Low Cost Scenario - 543 565
High Cost Scenario - 3,407 2,956
Mid Cost Scenario 512 934 943
Low Cost Scenario - 479 503
High Cost Scenario - 3,007 2,632
Mid Cost Scenario - 1,798 2,003
Low Cost Scenario - 534 596
High Cost Scenario - 7,550 7,403
Mid Cost Scenario - 1,467 1,640
Low Cost Scenario - 436 488
High Cost Scenario - 6,161 6,061
ICER ($ per case averted) -
compared to BD
Impact compared to SQ
Impact compared to BD
Total Costs
ICER ($ per DALY averted) -
compared to SQ
ICER ($ per case averted)- -
compared to SQ
ICER ($ per DALY averted) -
compared to BD
29
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 region GBD region (plus additional countries) Exceptions
PAHO Andean Latin America All
PAHO Central Latin America All
PAHO Southern Latin America All
PAHO Tropical Latin America All
PAHO High-income North America All
PAHO Carribean Except Netherlands Antilles (ANT)
WPRO Australasia All
WPRO Oceania All
WPRO High-income Asia Pacific All
WPRO Plus Mongolia (MNG) (GBD Central Asia)
WPRO Plus Cambodia (KHM), Laos (LAO), Malaysia (MYS), Philippines (PHL), Vietnam (VNM) (GBD South East Asia)
WPRO East Asia Except Democratic People's Republic of Korea (PRK) and Taiwan (TWN)
EURO Central Europe All
EURO East Europe All
EURO Central Asia Except Mongolia (MNG)
EURO West Europe Except Greenland (GRL)
EURO Plus Turkey (TUR) (GBD North Africa and Middle East)
AFRO Central Sub-Saharan Africa All
AFRO Southern Sub-Saharan Africa All
AFRO East Sub-Saharan Africa Except Djibouti (DJI), Somaria (SOM), Sudan (SDN)
AFRO West Sub-Saharan Africa Except Western Sahara (ESH)
AFRO Plus Algeria (DZA) (GBD North Africa and Middle East)
SEARO South Asia Except Afghanistan (AFG), Pakistan (PAK)
SEARO Plus Democratic People's Republic of Korea (PRK) (GBD East Asia)
EMRO North Africa and Middle East Except Algeria (DZA), Turkey (TUR)
EMRO Plus Afghanistan (AFG), Pakistan (PAK) (GBD South Asia)
EMRO Plus Djibouti (DJI), Somaria (SOM), Sudan (SDN) (GBD East Sub-Saharan Africa)
30
Appendix C: WHO estimates on costs of management of end-stage liver disease (ESLD), summarized by region
median minimum maximum median minimum maximum
SE Asia 1,080 281 5,067 2,048 545 9,432
East Asia 1,903 1,903 1,903 3,583 3,583 3,583
South Asia 482 177 1,418 926 346 2,679
Oceania 848 459 6,480 1,614 883 12,032
Central Asia 1,245 498 3,939 2,356 956 7,352
Central Europe 6,148 2,732 11,749 11,422 5,121 21,701
Eastern Europe 7,180 2,340 8,299 13,320 4,394 15,375
NA and ME 3,790 697 39,692 7,077 1,330 72,672
Central Africa 1,666 168 13,945 3,141 329 25,721
East Africa 254 79 8,377 494 158 15,518
South Africa 2,726 394 4,926 5,107 759 9,172
West Africa 342 81 1,160 662 161 2,198
Andean LA 2,666 1,255 2,789 4,997 2,376 5,225
Central LA 3,483 731 5,179 6,610 1,395 9,639
Southern LA 5,113 4,402 5,192 9,517 8,207 9,662
Tropical LA 1,037 672 1,402 1,949 1,248 2,650
Caribbean 2,467 268 7,805 4,629 521 14,468
Asia Pacific High-Income 12,534 11,031 14,037 23,137 20,386 25,889
Australasia 13,822 10,859 16,784 25,492 20,071 30,914
Western Europe 16,007 9,901 43,313 29,492 18,315 79,260
North America 18,657 16,661 20,653 34,334 30,689 37,980
Decompensated Cirrhosis (annual cost, USD) Hepatocellular Carcinoma (annual cost, USD)GBD region
31