(17) Cost-effectiveness of maternal GBS immunization in low-income sub-Saharan Africa

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Papers

PMCID: 5723707 (link)

Year: 2017

Reviewer Paper ID: 17

Project Paper ID: 61

Q1 - Title

Question description: Does the title clearly identify the study as an economic evaluation and specify the interventions being compared?

Explanation: The title does not specify the interventions being compared in the study. It labels the study as a cost-effectiveness analysis but does not mention the comparison of 'maternal GBS immunization' with 'no immunization.'

Quotes:

  • "Cost-effectiveness of maternal GBS immunization in low-income sub-Saharan Africa"

Q2 - Abstract

Question description: Does the abstract provide a structured summary that includes the context, key methods, results, and alternative analyses?

Explanation: The abstract provides a structured summary that includes the context (background), key methods, results, and alternative analyses. It outlines the potential benefits of maternal GBS vaccination, the modeling approach, key findings on cost-effectiveness, and the impact of different parameters like disease incidence and vaccine efficacy on the results.

Quotes:

  • A maternal group B streptococcal (GBS) vaccine could prevent neonatal sepsis and meningitis. Its cost-effectiveness in low-income sub-Saharan Africa, a high burden region, is unknown.
  • We used a decision tree model, with Markov nodes to project infants' lifetimes, to compare maternal immunization delivered through routine antenatal care with no immunization.
  • At coverage equal to the proportion of pregnant women with >= 4 antenatal visits (ANC4) and serotype-specific vaccine efficacy of 70%, maternal GBS immunization would prevent one-third of GBS cases and deaths in Uganda and Nigeria...
  • The vaccination cost at which introduction is cost-effective depends on disease incidence and vaccine efficacy.

Q3 - Background and objectives

Question description: Does the introduction provide the context for the study, the study question, and its practical relevance for decision-making in policy or practice?

Explanation: The introduction of the manuscript provides the context by discussing the burden of GBS in sub-Saharan Africa and the challenges of current prevention strategies. It articulates the study question by focusing on the potential cost-effectiveness of maternal GBS immunization. Additionally, the introduction discusses the practical relevance for decision-making by highlighting the need to evaluate the vaccine's cost to enable funders and policymakers to make informed decisions once a GBS vaccine is developed and proven efficacious.

Quotes:

  • Group B streptococcus (GBS) is a leading neonatal sepsis pathogen globally, a major contributor to neonatal deaths in the world's poorest countries, and has a particularly high burden of disease in sub-Saharan Africa.
  • To speed funders' decisions about maternal GBS immunization once clinical trials establish efficacy, we evaluated its potential costs and public health impacts in four countries representative of different health and socioeconomic conditions in the 37 GAVI-eligible sub-Saharan countries.

Q4 - Health economic analysis plan

Question description: Was a health economic analysis plan developed, and if so, where is it available?

Explanation: The manuscript does not explicitly mention the development of a health economic analysis plan nor its availability. The methods section describes the use of a decision tree model for cost-effectiveness analysis but does not mention a specific plan.

Quotes:

  • The model is structured as a decision tree that describes the two strategies offered to pregnant women, GBS vaccine or no vaccine, with embedded Markov nodes to model the lifetime consequences for their babies, using TreeAge Pro 2016.
  • An expert panel of published investigators in GBS epidemiology and/or vaccinology... provided guidance on model development, parameterization, and analysis; they are listed in the acknowledgments.

Q5 - Study population

Question description: Are the characteristics of the study population (e.g., age range, demographics, socioeconomic, or clinical characteristics) described?

Explanation: The manuscript does not describe the demographic, socioeconomic, or clinical characteristics of the study population. It focuses solely on the GBS disease and vaccination costs and does not provide information on the attributes of the populations in the studied countries.

Quotes:

  • We used K-means clustering to group the 37 GAVI-eligible countries into four clusters based on measures of economic development, healthcare infrastructure, and past public health performance.
  • To speed funders' decisions about maternal GBS immunization once clinical trials establish efficacy, we evaluated its potential costs and public health impacts (cases prevented, lives saved, disability-adjusted life years [DALYs] averted) in four countries representative of different health and socioeconomic conditions in the 37 GAVI-eligible sub-Saharan countries.
  • Each cluster is represented in the results by the country with median life expectancy.

Q6 - Setting and location

Question description: Is relevant contextual information (such as setting and location) provided that may influence the findings of the study?

Explanation: The manuscript provides a detailed context including the setting and location that informs the findings of the study. It focuses on low-income sub-Saharan Africa, specifying that it includes GAVI-eligible countries with varied health and socioeconomic conditions. It addresses how these conditions, particularly antenatal care availability and economic factors, might affect the cost-effectiveness of the maternal GBS vaccine.

Quotes:

  • "The model projected EOGBS (early-onset) and LOGBS (late-onset) cases and deaths, disability-adjusted life years (DALYs), healthcare costs (2014 US$), and cost-effectiveness for a representative country in each of the four clusters: Guinea-Bissau, Uganda, Nigeria, and Ghana."
  • "GBS is a leading neonatal sepsis pathogen globally, a major contributor to neonatal deaths in the world's poorest countries, and has a particularly high burden of disease in sub-Saharan Africa, where half of GAVI-eligible countries are located."
  • "Accordingly, for the threshold analyses, we chose two potential benchmarks: 0.5 GDPpc and GDPpc in each country."

Q7 - Comparators

Question description: Are the interventions or strategies being compared described, along with the rationale for their selection?

Explanation: The manuscript describes the strategies being compared: maternal GBS vaccination versus no vaccination, and explains the rationale for selecting these strategies in the Methods section. The rationale is based on the high burden of GBS disease in sub-Saharan Africa and the cost-effectiveness of vaccine implementation through routine antenatal care.

Quotes:

  • "We used a decision tree model, with Markov nodes to project infants' lifetimes, to compare maternal immunization delivered through routine antenatal care with no immunization."
  • "A maternal group B streptococcal (GBS) vaccine could prevent neonatal sepsis and meningitis. Its cost-effectiveness in low-income sub-Saharan Africa, a high burden region, is unknown."

Q8 - Perspective

Question description: What perspective(s) were adopted by the study, and why were they chosen?

Explanation: The study adopted the healthcare system perspective, which is evident from the method of evaluating costs like healthcare costs, treatment costs, and vaccination costs/dose in terms of GDP per capita and DALYs averted. This perspective was chosen to assess the economic viability and public health impacts of implementing the maternal GBS immunization program in low-income sub-Saharan Africa.

Quotes:

  • Maximum vaccination costs/dose were estimated to meet two cost-effectiveness benchmarks, 0.5 GDP and GDP per capita/DALY.
  • Model outputs for maternal GBS immunization and no immunization include EOGBS and LOGBS cases, EOGBS and LOGBS deaths, DALYs, and medical costs. A cost-effectiveness ratio compares two strategies and expresses the comparison as the additional cost... for each additional DALY averted.
  • Vaccination cost/dose, disease incidence, and case fatality were key drivers of cost/DALY in sensitivity analyses.

Q9 - Time horizon

Question description: What is the time horizon for the study, and why is it appropriate?

Explanation: The manuscript does not specify a precise time horizon for the study but mentions projecting infants' lifetimes using a decision tree model with embedded Markov nodes. This suggests a long-term projection without detailing a specific number of years.

Quotes:

  • The model projected EOGBS (early-onset) and LOGBS (late-onset) cases and deaths, disability-adjusted life years (DALYs), healthcare costs (2014 US$), and cost-effectiveness...
  • We used a decision tree model, with Markov nodes to project infants' lifetimes...

Q10 - Discount rate

Question description: What discount rate(s) were used, and what was the rationale for choosing them?

Explanation: The manuscript specifies the discount rate used in the analysis and provides a rationale for its use. It mentions that years of life and disability-adjusted years of life (DALYs) after the first year were discounted at 3% per year, which is a commonly accepted rate in health economic evaluations to account for the time value of health benefits.

Quotes:

  • Years of life and disability-adjusted years of life (DALYs) that occurred after the first year of life were discounted at 3%/year.
  • Discount rate: 0.03; Gates

Q11 - Selection of outcomes

Question description: What outcomes were used as measures of benefit and harm?

Explanation: The manuscript specifies outcomes such as EOGBS and LOGBS cases, deaths, and DALYs as measures of both benefit and harm. These outcomes capture the reduction in disease incidence and mortality as well as the comprehensive impact on health using DALYs, which combine life-years lost due to premature mortality and years lived with disability.

Quotes:

  • Model outputs for maternal GBS immunization and no immunization include EOGBS and LOGBS cases, EOGBS and LOGBS deaths, DALYs, and medical costs.
  • A cost-effectiveness ratio compares two strategies and expresses the comparison as the additional cost of one strategy compared with the other for each additional DALY averted.

Q12 - Measurement of outcomes

Question description: How were the outcomes used to capture benefits and harms measured?

Explanation: The manuscript describes how the outcomes were measured through the use of a decision tree model with Markov nodes to simulate different health outcomes such as EOGBS and LOGBS cases, deaths, DALYs, and costs associated with maternal GBS immunization, using key data inputs like disease incidence and vaccine efficacy.

Quotes:

  • The model projected EOGBS (early-onset) and LOGBS (late-onset) cases and deaths, disability-adjusted life years (DALYs), healthcare costs (2014 US$), and cost-effectiveness for a representative country in each of the four clusters: Guinea-Bissau, Uganda, Nigeria, and Ghana.
  • Model outputs for maternal GBS immunization and no immunization include EOGBS and LOGBS cases, EOGBS and LOGBS deaths, DALYs, and medical costs.
  • A cost-effectiveness ratio compares two strategies and expresses the comparison as the additional cost of one strategy compared with the other for each additional DALY averted.

Q13 - Valuation of outcomes

Question description: What population and methods were used to measure and value the outcomes?

Explanation: The manuscript details the population being studied and methods used to measure and value the outcomes. It explains the use of a decision tree model with Markov nodes to compare maternal immunization outcomes in four representative countries within low-income sub-Saharan Africa.

Quotes:

  • "We used a decision tree model, with Markov nodes to project infants' lifetimes, to compare maternal immunization delivered through routine antenatal care with no immunization. 37 countries were clustered on the basis of economic and health resources and past public health performance."
  • "The model projected EOGBS (early-onset) and LOGBS (late-onset) cases and deaths, disability-adjusted life years (DALYs), healthcare costs (2014 US$), and cost-effectiveness for a representative country in each of the four clusters: Guinea-Bissau, Uganda, Nigeria, and Ghana."
  • "To speed funders' decisions about maternal GBS immunization once clinical trials establish efficacy, we evaluated its potential costs and public health impacts (cases prevented, lives saved, disability-adjusted life years [DALYs] averted) in four countries representative of different health and socioeconomic conditions in the 37 GAVI-eligible sub-Saharan countries."

Q14 - Measurement and valuation of resources and costs

Question description: How were the costs valued in the study?

Explanation: The manuscript provides a detailed explanation of how costs were valued in the study, specifying that costs were adjusted to 2014 U.S. dollars using the World Bank’s annual GDP deflator series and average annual currency exchange rates. Costs included both vaccination and treatment expenses, with specific mention of combining vaccine price and delivery cost for the vaccination cost per dose. Treatment costs were developed through surveys of GBS disease management experts.

Quotes:

  • Costs were adjusted to 2014 U.S. dollars using the World Bank's annual GDP deflator series and average annual currency exchange rates.
  • Vaccine price and delivery cost. In the model, we combined price and delivery cost and evaluated vaccination cost per dose for the one dose series.
  • To develop treatment costs we surveyed sub-Saharan experts in GBS disease management to get estimates of the percentages of infants with meningitis and sepsis treated in various settings and the healthcare resources used in those settings.

Q15 - Currency, price, date, and conversion

Question description: What are the dates of the estimated resource quantities and unit costs, and what currency and year were used for conversion?

Explanation: The manuscript provides detailed information about the estimated resource quantities, unit costs, and also states the currency and the year used for conversion to U.S. dollars. The costs and unit costs are consistent with the data described and the methods followed in the study.

Quotes:

  • Costs were adjusted to 2014 U.S. dollars using the World Bank's annual GDP deflator series and average annual currency exchange rates.
  • Unit costs, 2014 US$
  • Vaccine price and delivery cost. In the model we combined price and delivery cost...we used a cost of $7/dose and a range of $2-$10, based on per-dose childhood delivery costs in LMICs...UNICEF's 2016 prices for several multivalent, conjugate vaccines...

Q16 - Rationale and description of model

Question description: If a model was used, was it described in detail, including the rationale for its use? Is the model publicly available, and where can it be accessed?

Explanation: While the manuscript details a decision tree model using Markov nodes for assessing maternal GBS vaccination, it lacks information on the public availability of this model, including any links to access it.

Quotes:

  • We used a decision tree model, with Markov nodes to project infants' lifetimes, to compare maternal immunization delivered through routine antenatal care with no immunization.
  • The model is structured as a decision tree that describes the two strategies offered to pregnant women... using TreeAge Pro 2016 (TreeAge Inc., Williamstown, MA; see Technical Appendices for details).

Q17 - Analytics and assumptions

Question description: What methods were used for analyzing or statistically transforming data, extrapolation, and validating any models used?

Explanation: The manuscript provides a detailed description of the methods used for analyzing data, extrapolating disease burden, and validating the model outcomes. It mentions the use of decision tree models with embedded Markov nodes, systematic review, meta-analysis, and various sensitivity analyses including one-way sensitivity analysis and probabilistic sensitivity analysis for uncertainty.

Quotes:

  • The model is structured as a decision tree that describes the two strategies offered to pregnant women, GBS vaccine or no vaccine, with embedded Markov nodes to model the lifetime consequences for their babies.
  • We conducted a systematic review of published literature on the proportion of pregnant women colonized with GBS...we pooled the individual study estimates in a random effects meta-analysis using Open meta-Analyst to estimate overall weighted means and 95% confidence intervals.
  • One-way sensitivity analysis, in which one model parameter is varied, while holding all other parameters at their base-case values, was conducted to show how the cost-effectiveness of maternal GBS immunization changes as each parameter changes.
  • To estimate an uncertainty interval for each threshold vaccination cost/dose we ran a probabilistic sensitivity analysis, holding vaccine efficacy and disease incidence at the levels used to derive the threshold cost/dose, but letting other parameters vary according to the distributions in Table 1, Table 2.

Q18 - Characterizing heterogeneity

Question description: What methods were used to estimate how the results vary for different sub-groups?

Explanation: The manuscript does not provide specific methods or techniques used to estimate how the results vary for different sub-groups. Instead, it focuses on general cost-effectiveness analysis and sensitivity analysis to explore various scenarios related to vaccine efficacy and disease incidence across different countries.

Quotes:

  • We used K-means clustering to group the 37 GAVI-eligible countries into four clusters based on measures of economic development, healthcare infrastructure, and past public health performance.
  • A one-way sensitivity analysis, in which one model parameter is varied, while holding all other parameters at their base-case values, was conducted to show how the cost-effectiveness of maternal GBS immunization changes as each parameter changes.

Q19 - Characterizing distributional effects

Question description: How were the impacts distributed across different individuals, and were adjustments made to reflect priority populations?

Explanation: The manuscript does not mention that adjustments were made to reflect priority populations in the analysis. It predominantly addresses the distribution of impacts based on economic and health circumstances across different countries, not individuals or priority populations.

Quotes:

  • We focused on a central policy question - affordable vaccination cost (price plus delivery cost) per dose - and present the highest per-dose costs that would meet two possible cost-effectiveness benchmarks, 0.5 GDP per capita and GDP per capita per DALY averted.
  • We used K-means clustering to group the 37 GAVI-eligible countries into four clusters based on measures of economic development, healthcare infrastructure, and past public health performance.
  • Although this study may be most useful for global funders, decision makers, and researchers, recent guidance has emphasized the need for country-driven value criteria.

Q20 - Characterizing uncertainty

Question description: What methods were used to characterize sources of uncertainty in the analysis?

Explanation: The manuscript outlines specific methods used to characterize uncertainty in its analysis. This includes sensitivity analyses to assess the effects of various parameters, as well as probabilistic sensitivity analyses to estimate uncertainty intervals around the threshold vaccination cost per dose.

Quotes:

  • One-way sensitivity analysis, in which one model parameter is varied, while holding all other parameters at their base-case values, was conducted to show how the cost-effectiveness of maternal GBS immunization changes as each parameter changes.
  • To estimate an uncertainty interval for each threshold vaccination cost/dose we ran a probabilistic sensitivity analysis...
  • The 5000 PSA iterations were then ranked by their cost-effectiveness ratios and those with cost-effectiveness ratios within 5% of the benchmark were selected.

Q21 - Approach to engagement with patients and others affected by the study

Question description: Were patients, service recipients, the general public, communities, or stakeholders engaged in the design of the study? If so, how?

Explanation: The manuscript does not mention engaging patients, service recipients, the general public, communities, or stakeholders in the design of the study. It focuses primarily on modeling and statistical analysis to assess the cost-effectiveness of maternal GBS immunization, using available data and expert opinion.

Quotes:

  • "An expert panel of published investigators in GBS epidemiology and/or vaccinology, identified through consultation with two authors (SS and JV) and contacted by author AS, provided guidance on model development, parameterization, and analysis; they are listed in the acknowledgments."]}

Q22 - Study parameters

Question description: Were all analytic inputs or study parameters (e.g., values, ranges, references) reported, including uncertainty or distributional assumptions?

Explanation: The manuscript provides detailed analytical inputs, study parameters, and ranges of values throughout the methods and results sections. It explains how disease burden and efficacy parameters are derived, including ranges and distributional assumptions for these parameters.

Quotes:

  • Table 1 shows, for each example country, the base-case values and ranges of the disease burden parameters in the model. Table 2 shows the base-case values and ranges for the resource and cost parameters.
  • To estimate an uncertainty interval for each threshold vaccination cost/dose we ran a probabilistic sensitivity analysis, holding vaccine efficacy and disease incidence at the levels used to derive the threshold cost/dose, but letting other parameters vary according to the distributions in Table 1, Table 2.

Q23 - Summary of main results

Question description: Were the mean values for the main categories of costs and outcomes reported, and were they summarized in the most appropriate overall measure?

Explanation: The manuscript provides projections for various health outcomes and cost-effectiveness measures but does not provide mean values for the cost or outcomes directly. Tables and lists demonstrate various outcomes and costs across countries and scenarios, but these are presented in terms of percentage reductions or specific cost outcomes per DALY rather than a summary of mean values across categories.

Quotes:

  • For each representative country Table 3 shows: projected reductions in EOGBS and LOGBS cases, deaths, and DALYs for maternal GBS immunization, compared with no maternal GBS immunization; program costs, treatment costs, and treatment cost savings; and cost-effectiveness ratios.
  • With maternal GBS immunization coverage at ANC4, cases and deaths prevented range from 30-31% in Uganda to 55-57% in Ghana. Cost per DALY averted is similar for Guinea-Bissau ($320/DALY), Nigeria ($339/DALY), and Ghana ($350/DALY) because the case fatality ratios are similar, and high, in those countries (Table 1).

Q24 - Effect of uncertainty

Question description: How did uncertainty about analytic judgments, inputs, or projections affect the findings? Was the effect of the choice of discount rate and time horizon reported, if applicable?

Explanation: The manuscript mentions how variations in parameters such as discount rates and time horizons affect the findings. Specifically, a 3% discount rate is applied to years of life and disability-adjusted life years (DALYs) occurring after the first year of life, and these values affect the cost-effectiveness calculations. Changes to the discount rate or adjustments to disease incidence influence the analysis's conclusions and costs.

Quotes:

  • Years of life and disability-adjusted years of life (DALYs) that occurred after the first year of life were discounted at 3%/year.
  • The maximum vaccination cost/dose that meets a given cost-effectiveness benchmark increases if disease incidence is adjusted (higher) and if the vaccine is more effective.

Q25 - Effect of engagement with patients and others affected by the study

Question description: Did patient, service recipient, general public, community, or stakeholder involvement make a difference to the approach or findings of the study?

Explanation: The manuscript does not indicate any involvement of patients, service recipients, the general public, community, or stakeholders in the research approach or findings. The study is primarily based on decision analytic modeling and expert panel guidance.

Quotes:

  • "An expert panel of published investigators in GBS epidemiology and/or vaccinology, identified through consultation with two authors (SS and JV) and contacted by author AS, provided guidance on model development, parameterization, and analysis; they are listed in the acknowledgments."
  • "The study has several limitations. Firstly, only the variable costs of vaccination were considered. In real-world programs, there may be costs that do not vary with the number of women vaccinated, particularly when a new vaccine is first introduced."

Q26 - Study findings, limitations, generalizability, and current knowledge

Question description: Were the key findings, limitations, ethical or equity considerations, and their potential impact on patients, policy, or practice reported?

Explanation: The manuscript provides detailed findings on the cost-effectiveness of maternal GBS immunization, provides some potential impacts on policy and practice, but it lacks a discussion on ethical or equity considerations and does not explicitly list limitations.

Quotes:

  • Efficient and affordable interventions are needed to reduce neonatal mortality, especially in parts of the world where it remains high, such as sub-Saharan Africa.
  • Our analyses suggest that maternal GBS immunization with a pentavalent vaccine that covers most disease-causing GBS serotypes could be cost-effective in low-income sub-Saharan countries.
  • The study has several limitations. Firstly, only the variable costs of vaccination were considered.
  • Although this study may be most useful for global funders, decision makers, and researchers, recent guidance has emphasized the need for country-driven value criteria.
  • In threshold analysis, we focused on the range of vaccination costs/dose that would make maternal immunization good value in these countries.

SECTION: TITLE
Cost-effectiveness of maternal GBS immunization in low-income sub-Saharan Africa


SECTION: ABSTRACT
Highlights

Maternal GBS vaccination could prevent many neonatal deaths in low-income sub-Saharan Africa.

Immunization during pregnancy could cut GBS deaths by 30%-55% in typical sub-Saharan settings.

To show the full cost of vaccination, cost/dose includes vaccine price and delivery cost.

Maternal GBS vaccine is cost-effective at $2 to more than $20/dose, depending on efficacy and disease incidence.

A maternal GBS vaccine would be cost-effective in low-income sub-Saharan Africa.

Background

A maternal group B streptococcal (GBS) vaccine could prevent neonatal sepsis and meningitis. Its cost-effectiveness in low-income sub-Saharan Africa, a high burden region, is unknown.


Methods

We used a decision tree model, with Markov nodes to project infants' lifetimes, to compare maternal immunization delivered through routine antenatal care with no immunization. 37 countries were clustered on the basis of economic and health resources and past public health performance.


We used a decision tree model, with Markov nodes to project infants' lifetimes, to compare maternal immunization delivered through routine antenatal care with no immunization.
We used a decision tree model, with Markov nodes to project infants' lifetimes, to compare maternal immunization delivered through routine antenatal care with no immunization. 37 countries were clustered on the basis of economic and health resources and past public health performance. Vaccine efficacy for covered serotypes was ranged from 50% to 90%. The model projected EOGBS (early-onset) and LOGBS (late-onset) cases and deaths, disability-adjusted life years (DALYs), healthcare costs (2014 US$), and cost-effectiveness for a representative country in each of the four clusters: Guinea-Bissau, Uganda, Nigeria, and Ghana.. The model projected EOGBS (early-onset) and LOGBS (late-onset) cases and deaths, disability-adjusted life years (DALYs), healthcare costs (2014 US$), and cost-effectiveness for a representative country in each of the four clusters: Guinea-Bissau, Uganda, Nigeria, and Ghana. Maximum vaccination costs/dose were estimated to meet two cost-effectiveness benchmarks, 0.5 GDP and GDP per capita/DALY, for ranges of disease incidence (reported and adjusted for under-reporting) and vaccine efficacy.

Results

At coverage equal to the proportion of pregnant women with = 4 antenatal visits (ANC4) and serotype-specific vaccine efficacy of 70%, maternal GBS immunization would prevent one-third of GBS cases and deaths in Uganda and Nigeria
, where ANC4 is 50%, 42-43% in Guinea-Bissau (ANC4 = 65%), and 55-57% in Ghana (ANC4 = 87%). At a vaccination cost of $7/dose, maternal immunization would cost $320-$350/DALY averted in Guinea-Bissau, Nigeria, and Ghana, less than half these countries' GDP per capita. In Uganda, which has the lowest case fatality ratios, the cost would be $573/DALY. If the vaccine prevents a small proportion of stillbirths, it would be even more cost-effective. Vaccination cost/dose, disease incidence, and case fatality were key drivers of cost/DALY in sensitivity analyses.

Conclusion

Maternal GBS immunization could be a cost-effective intervention in low-income sub-Saharan Africa, with cost-effectiveness ratios similar to other recently introduced vaccines. The vaccination cost at which introduction is cost-effective depends on disease incidence and vaccine efficacy.

Clinical Trial registry name and registration number: Not applicable.

SECTION: INTRO
Introduction

Group B streptococcus (GBS) is a leading neonatal sepsis pathogen globally, a major contributor to neonatal deaths in the world's poorest countries, and has a particularly high burden of disease in sub-Saharan Africa, where half of GAVI-eligible countries are located.
In higher-income countries where it has been introduced, intrapartum antibiotic prophylaxis for GBS-colonized women has greatly reduced early-onset GBS (EOGBS) disease, which develops during the first week of life. This strategy, which requires screening cultures of pregnant women several weeks before delivery, availability of screening results at delivery, and the ability to provide intravenous intrapartum antibiotics, may not be feasible in low-income countries. Providing it during delivery to women with clinical risk factors such as intrapartum fever is less complex and costly, but less effective and still difficult to implement in resource-poor settings. A trivalent maternal vaccine completed Phase II trials in South Africa and several other countries, but further trials were suspended to develop a higher valency vaccine that would cover at least five GBS serotypes (1a, 1b, II, III, and V), which account for almost all cases of infant disease. If a vaccine is successfully developed, antenatal care and/or maternal immunization programs, which already provide tetanus toxoid to women during pregnancy, offer a delivery platform on which to implement maternal GBS immunization, although at additional cost. The vaccine would protect infants not only against EOGBS but also against late-onset disease (LOGBS, which develops between 7 and 90 days).

To speed funders' decisions about maternal GBS immunization once clinical trials establish efficacy, we evaluated its potential costs and public health impacts (cases prevented, lives saved, disability-adjusted life years [DALYs] averted) in four countries representative of different health and socioeconomic conditions in the 37 GAVI-eligible sub-Saharan countries.
To speed funders' decisions about maternal GBS immunization once clinical trials establish efficacy, we evaluated its potential costs and public health impacts (cases prevented, lives saved, disability-adjusted life years [DALYs] averted) in four countries representative of different health and socioeconomic conditions in the 37 GAVI-eligible sub-Saharan countries. We focused on a central policy question - affordable vaccination cost (price plus delivery cost) per dose - and present the highest per-dose costs that would meet two possible cost-effectiveness benchmarks, 0.5 GDP per capita and GDP per capita per DALY averted. In addition, we compare cost-effectiveness ratios to those of other recently introduced new vaccines.

SECTION: METHODS
Methods

Analytic overview

The model is structured as a decision tree that describes the two strategies offered to pregnant women, GBS vaccine or no vaccine, with embedded Markov nodes to model the lifetime consequences for their babies

The model is structured as a decision tree that describes the two strategies offered to pregnant women, GBS vaccine or no vaccine, with embedded Markov nodes to model the lifetime consequences for their babies, using TreeAge Pro 2016
(TreeAge Inc., Williamstown, MA; see Technical Appendices for details). In the model, pregnant women are subdivided by maternal GBS colonization at delivery (yes/no), then by whether the birth is preterm or term. Babies enter a Markov model (cycle length: 1 year) that simulates pregnancy outcomes (stillbirth, live birth) and the natural history of GBS disease. Only babies born live to colonized mothers are at risk of EOGBS. Although all babies are at risk of LOGBS, the risk is higher among babies born to mothers colonized at the time of delivery. Both EOGBS and LOGBS may present as meningitis or sepsis, which may result in death, long-term disability, or full recovery. An expert panel of published investigators in GBS epidemiology and/or vaccinology, identified through consultation with two authors (SS and JV) and contacted by author AS, provided guidance on model development, parameterization, and analysis; they are listed in the acknowledgments.

We used
ntified through consultation with two authors (SS and JV) and contacted by author AS, provided guidance on model development, parameterization, and analysis; they are listed in the acknowledgments.

We used K-means clustering to group the 37 GAVI-eligible countries into four clusters based on measures of economic development, healthcare infrastructure, and past public health performance.We used K-means clustering to group the 37 GAVI-eligible countries into four clusters based on measures of economic development, healthcare infrastructure, and past public health performance. The clusters strike a balance between a region-wide analysis, which averages over a wide range of national circumstances, and country-level analyses, which would show the full range of circumstances but were beyond what the available data and project resources could support. The clusters, defined in the notes to Tables 1 and 2, were robust in a series of sensitivity analysis. Each cluster is represented in the results by the country with median life expectancy.

SECTION: TABLE
Disease burden and efficacy parameters for the sub-Saharan GBS disease prevention cost-effectiveness model.

Variable/Parameter Base-case value (range) for example country (group #) Source Distribution Guinea-Bissau (1) Uganda (2) Nigeria (3) Ghana (4) Starting age for a Markov node 0 fixed Constant for age weighting 0 fixed Discount rate 0.03 ; Gates fixed : : Disease burden Prevalence of maternal colonization 0.218 (0.18-0.26) beta Proportion of births that are preterm 0.11 (0.09-0.14) 0.14 (0.12-0.17) 0.12 (0.11-0.13) 0.15 (0.10-0.18) beta CFR of early onset neonatal GBS meningitis 0.594 (0.40-0.62) 0.283 (0.28-0.56) 0.507 (0.41-0.61) 0.424 (0.25-0.57) times ratio (2012 NMR example country/Malawi's NMR) from WDI beta CFR of late onset neonatal GBS meningitis 0.455 (0.31-0.48) 0.217 (0.22-0.43) 0.388 (0.31-0.47) 0.324 (0.19-0.44) beta CFR of early onset GBS sepsis 0.457 (0.31-0.48) 0.218 (0.22-0.43) 0.390 (0.31-0.47) 0.326 (0.19-0.44) beta CFR of late onset GBS sepsis 0.289 (0.19-0.30) 0.138 (0.14-0.27) 0.247 (0.20-0.30) 0.206 (0.12-0.28) beta EOGBS incidence, per 1000 live births Reported 1.285 (0.81-1.86); adjusted 3.038 (1.29-4.72) and technical Appendix A2 beta LOGBS incidence, per 1000 live births Reported 0.727 (0.48-1.02); adjusted 1.719 (0.73-2.67) beta Relative risk of EOGBS (preterm vs term) 4.123 (0.157-108.24) meta-analysis and gamma Relative risk of LOGBS (preterm vs term) 1.700 (0.854-3.384) gamma Relative risk of LOGBS (colonization vs no colonization) 3.050 (1.360-7.180) gamma Rate of stillbirth due to all causes 0.0296 (0.023-0.030) 0.0248 (0.020-0.028) 0.0417 (0.039-0.044) 0.0220 (0.021-0.034) beta Proportion of stillbirths due to GBS 0 (0-0.05) Expert opinion beta Proportion of meningitis among EOGBS cases 0.131 (0.092-0.170) meta-analysis and beta Proportion of meningitis among LOGBS cases 0.528 (0.382-0.673) beta Duration of meningitis (days) 17 (14-21) uniform Duration of sepsis (days) 10 (7 -1 4) uniform Proportion of meningitis leading to disabilities 0.440 (0.250-0.650) beta Proportion of sepsis leading to disabilities 0.254 (0.127-0.381) beta Mortality rate, all causes, 2010-2015, by age Table, Guinea-Bissau Table, Uganda Table, Nigeria Table, Ghana fixed Life expectancy, 2010-2015, by age Table, Guinea-Bissau Table, Uganda Table, Nigeria Table, Ghana fixed Discounted YLL, 2010-2015 by age Table, Guinea-Bissau Table, Uganda Table, Nigeria Table, Ghana fixed : : Vaccine effectiveness Proportion of vaccine serotypes among EOGBS 0.974 (0.937-0.996) beta Proportion of vaccine serotypes among LOGBS 0.977 (0.905-1.000) beta Maternal vaccine coverage: ANC1* 0.926 (0.220-0.971) 0.949 (0.743-0.957) 0.606 (0.485-0.727) 0.964 (0.339-0.989) beta Maternal vaccine coverage: ANC4* 0.649 (0.063-0.760) 0.476 (0.442-0.744) 0.510 (0.408-0.612) 0.873 (0.321-0.873) beta Vaccine efficacy against covered serotypes, EOGBS 0.50 - 0.90 Expert opinion beta Vaccine efficacy against covered serotypes, LOGBS 0.50 - 0.90 beta Vaccine efficacy adjustment in preterm infants 0.835 (0.779-0.891) and technical Appendix A4 beta Vaccine efficacy against maternal colonization 0 Expert opinion fixed Vaccine efficacy against preterm 0 Expert opinion fixed Vaccine efficacy against stillbirth 0.50-0.90 Expert opinion beta

Group 1 (10): CAR, Guinea, Guinea-Bissau, Mali, Niger, Sierra Leone, Somalia, South Sudan, Chad, DR Congo.

Group 2 (9): Cote d'Ivoire, Cameroon, Lesotho, Mozambique, Mauritania, Sudan, Uganda, Zambia, Zimbabwe.

Group 3 (1): Nigeria.

Group 4 (17): Burundi, Benin, Burkina Faso, Comoros, Eritrea, Ethiopia, Ghana, Gambia, Kenya, Liberia, Madagascar, Malawi, Rwanda, Senegal, Sao Tome/Principe, Togo, Tanzania.

Cost parameters for the sub-Saharan GBS disease prevention cost-effectiveness model.

Variable/Parameter Base-case value (range) for example country (group #) Source Distribution Guinea-Bissau (1) Uganda (2) Nigeria (3) Ghana (4) Health resource use uniform Number of outpatient visits per course of meningitis treatment 3.50 (2.8-4.2) HRU survey of 13 sub-Saharan experts in care of GBS in infants. Responses were required to be anonymous so resource use by country group could not be identified. uniform Number of outpatient visits per course of sepsis treatment 2.42 (1.936-2.904) uniform Proportion of neonatal meningitis treated at ICU 0.278 (0.222-0.334) uniform Proportion of neonatal sepsis treated at ICU 0.240 (0.192-0.288) uniform Proportion of neonatal meningitis treated at paediatric ward 0.722 (0.578-0.866) uniform Proportion of neonatal sepsis treated at paediatric ward 0.760 (0.608-0.912) uniform Length of stay at ICU, days (meningitis) 8.56 (6.85-10.27) uniform Length of stay at ICU, days (sepsis) 6.44 (5.15-7.73) uniform Length of stay paediatric ward after ICU discharge, days (meningitis) 4.78 (3.82-5.74) uniform Length of stay paediatric ward after ICU discharge, days (sepsis) 3.67 (2.94-4.40) uniform Length of stay paediatric ward, days (meningitis) 10.92 (8.74-13.10) uniform Length of stay paediatric ward, days (sepsis) 7.50 (6 -9) uniform : : Unit costs, 2014 US$ Cost of an outpatient visit 0.68 (0.54-0.82) 1.43 (1.14-1.72) 23.21 (18.57-27.85) 1.89 (1.51-2.27) WHO-CHOICE and technical Appendix A5 uniform Cost of a day in an ICU 2.25 (1.80-2.70) 6.35 (5.08-7.62) 27.73 (22.18-33.28) 8.69 (6.95-10.43) uniform Cost of a day on a paediatric ward 2.10 (1.68-2.52) 5.91 (4.73-7.09) 25.83 (20.66-31.00) 8.09 (6.47-9.71) uniform Treatment cost for long-term disability 16.32 (13.06-19.58) 34.32 (27.46-41.18) 557.04 (445.68-668.40) 45.36 (36.29-54.43) uniform Vaccination cost (price + delivery cost) per dose 7 (2 -1 0) Technical Appendix A5 : : 2010 DALY weights Disability weight for acute meningitis/sepsis 0.210 fixed Disability weight for disability due to long-term meningitis/sepsis 0.136 fixed Number of births, 2013 64,000 1,626,000 7,173,000 800,000 UNICEF fixed

Group 1 (10): CAR, Guinea, Guinea-Bissau, Mali, Niger, Sierra Leone, Somalia, South Sudan, Chad, DR Congo.

Group 2 (9): Cote d'Ivoire, Cameroon, Lesotho, Mozambique, Mauritania, Sudan, Uganda, Zambia, Zimbabwe.

Group 3 (1): Nigeria.

Group 4 (17): Burundi, Benin, Burkina Faso, Comoros, Eritrea, Ethiopia, Ghana, Gambia, Kenya, Liberia, Madagascar, Malawi, Rwanda, Senegal, Sao Tome/Principe, Togo, Tanzania.

SECTION: METHODS
Table 1 shows, for each example country, the base-case values and ranges of the disease burden parameters in the model. Table 2 shows the base-case values and ranges for the resource and cost parameters. The Technical Appendices provide more information about these parameters.

GBS maternal colonization, disease incidence, and serotype distribution

We conducted a systematic review of published literature on the proportion of pregnant women colonized with GBS (maternal carriage); EOGBS and LOGBS disease incidence; and the proportion of GBS disease-causing isolates that would be covered by a pentavalent vaccine (vaccine serotype coverage) in sub-Saharan Africa; we pooled the individual study estimates in a random effects meta-analysis using Open meta-Analyst [http://www.cebm.brown.edu/openmeta/] to estimate overall weighted means and 95% confidence intervals. Since the data did not allow us to differentiate among countries in sub-Saharan Africa, we used the overall means and standard errors for all four of the representative countries.

Reported disease incidence reflects blood culturing practice and its sensitivity as a diagnostic test. We adjusted the estimates of EOGBS and LOGBS disease incidence from the meta-analysis for the proportion of neonates with clinical sepsis undergoing blood culture (90%) and for culture sensitivity (47%), as follows: adjusted incidence = reported incidence/(proportion cultured * culture sensitivity).

GBS case fatality ratios and death from other causes

The only published data on case fatality ratios in sub-Saharan Africa come from a study conducted in Malawi. Case fatality ratios (CFRs) for sepsis and meningitis, by EOGBS and LOGBS, were estimated from that study and adjusted for early versus late onset disease, as well as the underlying risk of neonatal mortality in a country, using methods described in Technical Appendix A3.

Death rates and life expectancies are the 2014 values for the example country from the United Nations' Population Division. Years of life and disability-adjusted years of life (DALYs) that occurred after the first year of life were discounted at 3%/year.

Maternal GBS vaccination during routine antenatal care

We assumed that GBS vaccine would be delivered to pregnant women in the third trimester and that a single dose would be given for each pregnancy during routine antenatal care. Given the need to administer the vaccine between 27 and 34 weeks of gestation to achieve peak titers in the newborn, the percentage of pregnant women with at least four antenatal visits (ANC4) was used as a proxy for vaccine coverage since women with four visits are likely to attend during the third trimester. In LMICs, however, many pregnant women first attend late in pregnancy and have only 1-2 visits before delivery. Thus ANC1, the percentage of pregnant women with at least one antenatal visit, may be a reasonable alternative proxy for coverage and was used in sensitivity analysis.

Vaccine efficacy

There is no information on the potential efficacy of a pentavalent GBS vaccine. Our expert panel recommended using a range of 50-90%, rather than a single estimate, for serotype-specific vaccine efficacy against EOGBS and LOGBS. Serotype coverage was assumed to be 97.4% for EOGBS and 97.7% for LOGBS, based on the meta-analysis described above. We reduced vaccine efficacy against EOGBS/LOGBS in preterm infants to 0.835 of the efficacy in term infants, using data on the distribution of infants by gestational age and maternal-fetal transfer of antibody; preterm infants were subdivided into those 34 weeks (6.6% of births) and 34-36 weeks (10.9%), with infants born at 37 weeks or more (82.5%) considered full term (Technical Appendix A4).

Costs

Costs were adjusted to 2014 U.S. dollars using the World Bank's annual GDP deflator series and average annual currency exchange rates. All costs occur during the first year of life, so were not discounted.

Vaccine price and delivery cost. In the model we combined price and delivery cost and evaluated vaccination cost per dose for the one dose series.
In the base-case cost-effectiveness analysis, presented to establish context for the analysis of affordable vaccine costs/dose described below, we used a cost of $7/dose and a range of $2-$10, based on per-dose childhood delivery costs in LMICs, and, since no information is available on the likely price of the vaccine in development, UNICEF's 2016 prices for several multivalent, conjugate vaccines that might serve as reasonable proxies for it (Technical Appendix).

Treatment costs. To develop treatment costs we surveyed sub-Saharan experts in GBS disease management to get estimates of the percentages of infants with meningitis and sepsis treated in various settings and the healthcare resources used in those settings. Thirteen of 30 experts responded to the survey. Since their responses were anonymous, we cannot differentiate resource use by cluster. To derive total costs the resource-use estimates were multiplied by WHO-CHOICE unit costs for, as appropriate, an outpatient visit, a bed-day in a paediatric ward, and a bed-day in an intensive care unit, all in secondary-level hospitals. WHO-CHOICE represents only the costs of facilities and personnel, so costs were increased to account for diagnostics, medications, and procedures, assuming treatment cost structures for GBS disease treatment were similar to hospitalized childhood pneumonia in Africa.

Cost-effectiveness analysis

Model outputs for maternal GBS immunization and no immunization include EOGBS and LOGBS cases, EOGBS and LOGBS deaths, DALYs, and medical costs.
Model outputs for maternal GBS immunization and no immunization include EOGBS and LOGBS cases, EOGBS and LOGBS deaths, DALYs, and medical costs. A cost-effectiveness ratio compares two strategies and expresses the comparison as the additional cost of one strategy compared with the other for each additional DALY averted. In this study the cost-effectiveness ratios show the additional cost of maternal GBS immunization, compared with no immunization, for each DALY averted. No age weighting was used in calculating DALYs. One-way sensitivity analysis, in which one model parameter is varied, while holding all other parameters at their base-case values, was conducted to show how the cost-effectiveness of maternal GBS immunization changes as each parameter changes.One-way sensitivity analysis, in which one model parameter is varied, while holding all other parameters at their base-case values, was conducted to show how the cost-effectiveness of maternal GBS immunization changes as each parameter changes. Results for the most influential parameters were summarized in Tornado diagrams.

Stillbirths account for 2-4% of all births in low-income sub-Saharan countries (Table 1). Preliminary evidence suggests a proportion of stillbirths in sub-Saharan Africa may be caused by GBS. Maternal GBS immunization may prevent some of these deaths. Therefore, we conducted a scenario analysis to explore the potential contribution of preventing GBS-associated stillbirth to the vaccine's cost-effectiveness.

Calculation of threshold vaccination cost per dose

To estimate the maximum (threshold) affordable vaccination cost/dose in each representative country, we considered two possible cost-effectiveness benchmarks, 0.5 GDP per capita (GDPpc) and GDPpc per DALY averted. Maximum vaccination cost/dose for each representative country was estimated by running a 1-way sensitivity analysis to identify the vaccination cost/dose that produced that benchmark in that country. The sensitivity analysis was repeated for each of three levels of vaccine efficacy and for adjusted and unadjusted disease incidence.

To estimate an uncertainty interval for each threshold vaccination cost/dose we ran a probabilistic sensitivity analysis, holding vaccine efficacy and disease incidence at the levels used to derive the threshold cost/dose, but letting other parameters vary according to the distributions in Table 1, Table 2.
To estimate an uncertainty interval for each threshold vaccination cost/dose we ran a probabilistic sensitivity analysis, holding vaccine efficacy and disease incidence at the levels used to derive the threshold cost/dose, but letting other parameters vary according to the distributions in Table 1, Table 2. A uniform distribution was used for vaccination cost/dose itself, with a lower bound of 50% and an upper bound of 150% of the threshold value. The 5000 PSA iterations were then ranked by their cost-effectiveness ratios and those with cost-effectiveness ratios within 5% of the benchmark were selected. The minimum and maximum vaccination cost/dose associated with those cost-effectiveness ratios provide the bounds of the uncertainty interval around the threshold.

SECTION: RESULTS
Results

Health outcomes, costs, and cost-effectiveness

SECTION: TABLE
Health outcomes, costs, and cost-effectiveness of maternal GBS immunization in four low-income Sub-Saharan countries, by vaccine coverage.

Maternal vaccine coverage = ANC4 Guinea-Bissau Uganda Nigeria Ghana Number of live births 64,000 1,626,000 7,173,000 800,000 Vaccine is delivered to (number of women) 42,765 64.9% 793,171 47.6% 3,810,778 51.0% 713,765 87.3% At a program cost of (2014 US$) $299,358 $5,552,194 $26,675,447 $4,996,354 And treatment costs of (2014 US$) $4175 $354,124 $9,193,677 $147,714 Averting EOGBS cases (%) 80 42% 1474 30% 7015 33% 1325 55% LOGBS cases (%) 47 43% 876 31% 4160 34% 788 57% EOGBS deaths (%) 38 42% 334 30% 2843 33% 449 55% LOGBS deaths (%) 18 43% 157 31% 1336 34% 212 57% DALYs (%) 900 0.10% 9181 0.04% 62,045 0.06% 13,415 0.15% And saving treatment costs of (2014 US$) $3051 $156,642 $4,544,167 $188,592 For a cost/DALY of (2014 US$) $320 $573 $339 $350 Maternal vaccine coverage = ANC1 Guinea-Bissau Uganda Nigeria Ghana Number of live births 64,000 1,626,000 7,173,000 800,000 Vaccine is delivered to (number of women) 61,018 92.6% 1,581,342 94.9% 4,528,101 60.6% 788,166 96.4% At a program cost of (2014 US$) $427,128 $11,069,396 $31,696,708 $5,517,165 And treatment costs of (2014 US$) $2872 $198,470 $8,338,326 $128,056 Averting EOGBS cases (%) 114 59% 2938 60% 8336 38% 1464 61% LOGBS cases (%) 68 61% 1746 63% 4943 40% 871 63% EOGBS deaths (%) 54 59% 665 60% 3378 39% 496 61% LOGBS deaths (%) 25 61% 313 63% 1587 40% 234 63% DALYs (%) 1284 0.15% 18,309 0.10% 73,738 0.07% 14,808 0.17% And saving treatment costs of (2014 US$) $2872 $328,550 $5,399,547 $208,248 For a cost/DALY of (2014 US$) $320 $573 $339 $350

Note: ANC4, the percentage of pregnant women with at least four antenatal visits, and ANC1, the percentage with at least 1 visit, serve as proxies for vaccine coverage. See Section 2.4.

SECTION: RESULTS
For each representative country Table 3 shows: projected reductions in EOGBS and LOGBS cases, deaths, and DALYs for maternal GBS immunization, compared with no maternal GBS immunization; program costs, treatment costs, and treatment cost savings; and cost-effectiveness ratios. The projections are based on adjusted disease incidence, a vaccine efficacy against covered serotypes of 70%, and vaccination cost/dose of $7. The upper panel shows results for coverage equivalent to ANC4, the lower panel for coverage at ANC1.

ANC4 varies considerably across the example countries, from 47.6% in Uganda to 87.3% in Ghana (Table 3, upper panel). With maternal GBS immunization coverage at ANC4, cases and deaths prevented range from 30-31% in Uganda to 55-57% in Ghana. Cost per DALY averted is similar for Guinea-Bissau ($320/DALY), Nigeria ($339/DALY), and Ghana ($350/DALY) because the case fatality ratios are similar, and high, in those countries (Table 1). In Uganda, which has the lowest case fatality ratios, there are fewer deaths for GBS immunization to prevent and cost/DALY is $573/DALY.

If the coverage of maternal GBS immunization were ANC1 instead of ANC4, many more cases of disease and death would be prevented - about 60% in Guinea-Bissau, Uganda, and Ghana, all of which have ANC1 rates above 90%. In Nigeria, with ANC1 60.6%, about 40% of cases and deaths would be prevented. Because the percentage of women vaccinated affects vaccination costs, disease treatment costs and cases of disease averted by the same proportion, the cost-effectiveness ratios remain the same whether coverage is equivalent to ANC1 or ANC4, although public health impact increases as more women receive the vaccine.

One-way sensitivity analyses

SECTION: FIG
Tornado diagram for Guinea-Bissau. The diagram shows the cost-effectiveness ratio (Cost/DALY) on the horizontal axis with the base-case ratio, $319, indicated by the dashed vertical line. Each horizontal bar shows how Cost/DALY varies around the base-case ratio as that parameter varies across its range (shown in Table 1), while all other parameters are held at their base-case values.

SECTION: RESULTS
In one-way sensitivity analysis, the same 15 parameters were consistently the most influential in all four countries, so Fig. 1 summarizes the results for those 15 parameters for Guinea-Bissau in the form of a Tornado diagram; Tornado diagrams for Uganda, Nigeria, and Ghana are in Technical Appendix A6. Vaccination cost/dose was consistently the most influential factor. Other influential parameters, in order of declining effect on cost/DALY were the case fatality ratios, vaccine efficacy, LOGBS incidence, and the proportions of cases leading to long-term disability.

Threshold analysis: How much could vaccination cost?

SECTION: FIG
Highest vaccination costs/dose that meet cost-effectiveness benchmarks (and 95% uncertainty intervals), 2014 $.

SECTION: RESULTS
Fig. 2 shows the maximum (threshold) affordable vaccination cost/dose for each country for two cost-effectiveness benchmarks, 0.5 GDP per capita and GDP per capita per DALY averted, at different levels of disease incidence and vaccine efficacy. Based on reported disease incidence, and assuming 50% serotype-specific vaccine efficacy, for example, vaccination cost/dose in Guinea-Bissau could be, at most, $2.05 to achieve a cost-effectiveness benchmark of $308/DALY averted, half of Guinea-Bissau's GDP per capita (Fig. 2, Panel A). If the cost-effectiveness benchmark were instead GDP per capita, $616, the vaccination cost/dose could be as much as $4.10. The maximum vaccination cost/dose that meets a given cost-effectiveness benchmark increases if disease incidence is adjusted (higher) and if the vaccine is more effective. For example, if adjusted disease incidence is correct, and the vaccine is 70% effective against covered serotypes, vaccination cost/dose could be as high as $6.75 for the 0.5 GDPpc benchmark or $13.40 for the GDPpc benchmark.

Uganda's maximum vaccination costs/dose are lower than those of Guinea-Bissau because Uganda has a low neonatal mortality rate, which gives it low GBS CFRs (see Section 2.3). Maximum vaccination cost/dose is $1.35 for reported disease incidence, serotype-specific vaccine efficacy of 50%, and a cost-effectiveness benchmark of 0.5 GDPpc (Fig. 2, Panel B). It rises to $11.20/dose for adjusted incidence, 90% efficacy, and a benchmark of GDPpc.

Maximum vaccination costs/dose are considerably higher in Nigeria, with its higher GDP per capita, ranging from $8.65 to $71.55, depending on disease incidence, vaccine efficacy, and cost-effectiveness benchmark (Fig. 2, Panel C). With a GDPpc intermediate between those of Guinea-Bissau and Uganda on the one hand, and Nigeria on the other, Ghana's maximum vaccination costs/dose range from $4.30 to $36.00 (Fig. 2, Panel D).

GBS-associated stillbirths

If GBS were associated with 5% of stillbirths (fetal death after 28 weeks), and the vaccine were 70% effective, maternal GBS immunization could prevent many more deaths, perhaps as many as two-thirds more compared with the base-case projections, which assume that GBS is not associated with stillbirth. Such a large increase in DALYs averted, coming at no extra cost since the women would have been vaccinated anyway, could substantially reduce maternal immunization's cost/DALY. As one example, under the same assumptions as in Table 3, and assuming coverage at ANC4 and 5% of stillbirths caused by GBS, the cost of maternal GBS immunization in Guinea-Bissau would decline from $320/DALY to $168/DALY.

HIV infection

To approximate the cost-effectiveness of maternal GBS immunization for pregnant women with HIV we assumed that the vaccine was only 50% effective and that all four case fatality ratios were at the high end of their ranges for each country. (The two assumptions work in opposite directions: higher death rates mean there are more deaths to prevent, but lower vaccine efficacy means the vaccine is less capable of preventing them.) Under these assumptions, cost/DALY was $430 in Guinea-Bissau; $454 in Uganda; $432 in Nigeria; and $382 in Ghana. Uganda's cost/DALY went down because the assumed case fatality ratios used were so much higher than those observed in Uganda.

SECTION: DISCUSS
Discussion

Efficient and affordable interventions are needed to reduce neonatal mortality, especially in parts of the world where it remains high, such as sub-Saharan Africa. Based on a decision analytic model, our analyses suggest that maternal GBS immunization with a pentavalent vaccine that covers most disease-causing GBS serotypes could be cost-effective in low-income sub-Saharan countries. Although the ability to reach large numbers of pregnant women may be constrained by the availability of antenatal care in these countries, substantial numbers of GBS cases and deaths could be prevented because disease burden is high. For example, in Nigeria, 11,000 cases and 4000 deaths (EOGBS and LOGBS) could be averted at a cost of $339 per DALY averted (2014 US$), even if only half of women receive the vaccine (Table 3). Guinea Bissau and Ghana show similar cost-effectiveness ratios. In Uganda the cost is higher, $573/DALY, primarily because the case fatality ratio for GBS cases is relatively low. In all four countries, however, the cost/DALY of maternal GBS immunization is within the range for newer vaccines included in the routine childhood vaccination schedules of these, and other, low-income countries.

In threshold analysis, we focused on the range of vaccination costs/dose that would make maternal immunization good value in these countries. Although this study may be most useful for global funders, decision makers, and researchers, recent guidance has emphasized the need for country-driven value criteria. Some studies suggest that 0.5 per capita GDP/DALY may be a reasonable cost-effectiveness threshold for low-income countries. Accordingly, for the threshold analyses, we chose two potential benchmarks: 0.5 GDPpc and GDPpc in each country. If the vaccine is 50% effective against covered serotypes, and if reported disease incidence is correct, we found that affordable vaccination cost/dose ranges from $2-$4 using 0.5 GDPpc as the benchmark. If incidence adjusted for under-reporting is correct rather than reported incidence, vaccination would be cost-effective at a higher cost/dose ($3-$10). If the threshold for cost-effectiveness is per capita GDP, adjusted incidence is correct, and the vaccine is more effective, affordable vaccination cost/dose could exceed $20 for some countries.

One-way sensitivity analysis showed vaccination cost (vaccine price plus delivery cost) and vaccine efficacy, both as yet unknown, to be important determinants of cost-effectiveness. EOGBS and LOGBS disease incidence and case fatality ratios, also important, will lead to variations in the cost-effectiveness of maternal GBS immunization across countries for the same vaccine price and efficacy. Other uncertain factors that were not included in the base case may also be influential. In the base case, for example, we considered only GBS sepsis and meningitis as avertable causes of newborn death and morbidity. GBS may also, however, cause some stillbirths. If these stillbirths were prevented by the vaccine, the DALYs averted would increase substantially, at no extra cost since the women would already have been vaccinated. If as many as 5% of stillbirths are associated with GBS, our analysis shows that the cost/DALY of maternal immunization could drop below $200/DALY.

Our analysis, which considers only immunization costs that vary with the number of women vaccinated, suggests that coverage makes little difference to the cost per DALY averted of maternal GBS immunization. However, coverage is an important determinant of the potential public health impact of the vaccine, its ability to prevent disease and death, as shown by the differences across countries in the percentage of disease averted (Table 3). We used ANC4 as a proxy for vaccine coverage (and ANC1 in sensitivity analysis), a choice supported by the similarity between ANC4 levels and one measure of vaccine coverage, the percentage of women who received two or more doses of tetanus vaccine during pregnancy (TT2). ANC4 may, however, overestimate vaccine coverage. A study of antenatal records in Ghana found, for example, that many pregnant women did not receive the services recommended for a visit. If ANC4 does overstate vaccine coverage, the public health impact of the vaccine will be less than our estimates indicate. When planning for GBS prevention, policymakers will want to consider such differences across and within countries, for example between urban and rural areas. If women in rural areas are less likely than those in urban areas to receive antenatal care, or less likely to receive the vaccine during an antenatal visit, fewer cases and deaths would be averted even if cost/DALY is unchanged.

Our analysis contributes to understanding where future research is most needed. EOGBS and LOGBS incidence and mortality, which are poorly documented in West and Central Africa, are key drivers of cost-effectiveness. The role of GBS in stillbirth is also important. Further primary data collection may also be needed about the intra-country distribution of disease (urban versus rural, HIV-infected versus not); the contribution of GBS to preterm delivery; and the contribution of GBS infection in women themselves to GBS disease burden, a topic not considered in our analysis. Further information on the likely program and delivery costs of a maternal GBS vaccine would also help to better understand the vaccine's value.

The study has several limitations. Firstly, only the variable costs of vaccination were considered.
In real-world programs, there may be costs that do not vary with the number of women vaccinated, particularly when a new vaccine is first introduced (e.g. cold chain expansion). In that case cost/DALY would decline as coverage increased and the fixed overhead costs were spread over more women. Secondly, the evidence did not allow us to differentiate disease incidence, a key driver of cost-effectiveness, among countries. We differentiated case fatality ratios by linking them to neonatal mortality, but this approximation may not accurately reflect GBS case fatality. Finally, we assumed that vaccination would not result in herd protection or serotype replacement, because it would not affect gut colonization with GBS, only invasive disease. Other conjugate vaccines, such as pneumococcal vaccines, have led to decreased colonization and hence herd protection, greatly reducing their cost/DALY.

SECTION: CONCL
Conclusion

Maternal GBS immunization delivered during antenatal care visits could be a cost-effective public health intervention in low-income sub-Saharan Africa at vaccination costs/dose ranging from $2-$4 to more than $20, depending on disease incidence and vaccine efficacy. The vaccine would be most cost-effective in countries like Nigeria, Guinea Bissau, and Ghana, where the case fatality ratio is high, and less cost-effective in countries like Uganda, where it is relatively low, but its cost/DALY is within the range for newer vaccines already included in the routine childhood vaccination schedules of all these, and other, low-income countries.

SECTION: SUPPL
Supplementary material

Supplementary data associated with this article can be found, in the online version, at https://doi.org/10.1016/j.vaccine.2017.07.108.