Literature DB >> 33904699

Cost-Effectiveness of Interventions to Improve Maternal, Newborn and Child Health Outcomes: A WHO-CHOICE Analysis for Eastern Sub-Saharan Africa and South-East Asia.

Karin Stenberg1, Rory Watts2, Melanie Y Bertram1, Kaia Engesveen3, Blerta Maliqi4, Lale Say5, Raymond Hutubessy6.   

Abstract

BACKGROUND: Information on cost-effectiveness allows policy-makers to evaluate if they are using currently available resources effectively and efficiently. Our objective is to examine the cost-effectiveness of health interventions to improve maternal, newborn and child health (MNCH) outcomes, to provide global evidence relative to the context of two geographic regions.
METHODS: We consider interventions across the life course from adolescence to pregnancy and for children up to 5 years old. Interventions included are those that fall within the areas of immunization, child healthcare, nutrition, reproductive health, and maternal/newborn health, and for which it is possible to model impact on MNCH mortality outcomes using the Lives Saved Tool (LiST). Generalized cost-effectiveness analysis (GCEA) was used to derive average cost-effectiveness ratios (ACERs) for individual interventions and combinations (packages). Costs were assessed from the health system perspective and reported in international dollars. Health outcomes were estimated and reported as the gain in healthy life years (HLYs) due to the specific intervention or combination. The model was run for 2 regions: Eastern sub-Saharan Africa (SSA-E) and South-East Asia (SEA).
RESULTS: The World Health Organization (WHO) recommended interventions to improve MNCH are generally considered cost-effective, with the majority of interventions demonstrating ACERs below I$100/HLY saved in the chosen settings (low-and middle-income countries [LMICs]). Best performing interventions are consistent across the two regions, and include family planning, neonatal resuscitation, management of pneumonia and neonatal infection, vitamin A supplementation, and measles vaccine. ACERs below I$100 can be found across all delivery platforms, from community to hospital level. The combination of interventions into packages (such as antenatal care) produces favorable ACERs.
CONCLUSION: Within each region there are interventions which represent very good value for money. There are opportunities to gear investments towards high-impact interventions and packages for MNCH outcomes. Cost-effectiveness tools can be used at national level to inform investment cases and overall priority setting processes.
© 2021 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Entities:  

Keywords:  Child health; Cost-Effectiveness; Maternal Health; South-East Asia; Sub-Saharan Africa

Mesh:

Year:  2021        PMID: 33904699      PMCID: PMC9278381          DOI: 10.34172/ijhpm.2021.07

Source DB:  PubMed          Journal:  Int J Health Policy Manag        ISSN: 2322-5939


Introduction

In 2017 an estimated 295000 women died from pregnancy or childbirth-related complications, and 5.3 million children under 5 years of age died in 2018. Deaths are inequitably distributed across the globe – More than half (3.3 million) of all these deaths happened in sub-Saharan Africa (SSA) followed by Central and Southern Asia with 28% (1.8 million). Most of these deaths are preventable and can be avoided with the right investments. Following the adoption of the Millennium Development Goals (MDGs) in 2000, significant progress was made on goal 4 to reduce child mortality by two thirds, and goal 5 to reduce maternal mortality by three quarters. Recent reports indicate that maternal deaths decreased by 35% between 2000 and 2017 and deaths of children under-five dropped by 59% between 1990 and 2018 (1). Progress was also made on MDG 1 for nutrition: between 1990 and 2015, the global prevalence of underweight among children aged less than 5 declined from 25% to 14%, nearly reaching the target of a 50% reduction. These achievements represented significant improvements in population health, and were supported by increased coordinated funding from the development community. However, the goals were not universally achieved, and momentum needs to be maintained in order to address the unfinished agenda. The Sustainable Development Goals (SDGs) have set global targets for further reductions in maternal and child mortality, as well as retaining goals on ensuring universal access to sexual and reproductive healthcare. Within this agenda, good nutrition plays a key role: maternal and child undernutrition is estimated to contribute to 45 percent of deaths in children under five, and dietary iron deficiency is the fifth leading cause of disability adjusted life years among women of reproductive age. There are many high-impact interventions to improve maternal, newborn and child health (MNCH) outcomes, for which evidence on effectiveness is well-known. Still, service uptake remains low across many settings. Many countries need to invest more and invest smarter. Evidence on cost-effectiveness allows policy-makers to evaluate if they are using currently available resources effectively and efficiently, and how they can best invest to achieve health targets and universal health coverage with limited resources. Whilst MNCH is generally proclaimed a priority area for investment across settings, actual budget allocation may not be sufficient to meet national targets. There is an increasing call for low- and middle-income countries (LMICs) to provide “investment cases” to indicate the value for money of proposed investments, for example in the area of non-communicable diseases. This applies equally to MNCH, for which the multi-partner Global Financing Facility (GFF) supports the development of investment cases in low-income settings. The GFF country investment cases aim to identify priority interventions to improve the health and nutrition of women, adolescents, and children. Evidence on locally contextualized cost-effectiveness data can help identify priorities. With a successful strategy, countries can access new financing from the World Bank, and can also be better informed for where to invest existing domestic resources. As part of the World Health Organization’s (WHO’s) efforts to support Member States in the development of evidence-informed health strategies, estimates on cost-effectiveness of prevention and treatment interventions are generated using standardized methods. The analysis presented here is part of an update of the WHO-Choosing Interventions that are Cost-Effective (CHOICE) programme of global level work. In addition to the production of global level estimates, the CHOICE platform provides country contextualization tools to enable decision-makers to undertake their own analyses. The CHOICE approach to cost-effectiveness is unique in three ways. Firstly, generalized cost-effectiveness is used. This is different to incremental cost-effectiveness which considers the value of adding new interventions at the margin of the existing package. The generalized cost-effectiveness analysis (GCEA) approach on the other hand, allows analysts to compare interventions compared to a “null” scenario, without considering the historical investments made. This allows the analysis to also take a critical view of the current package of available interventions, which may not always present the greatest value for money (for more details on the GCEA approach see methods paper in this series). Secondly, a broad set of currently recommended interventions with adequate evidence are included in the analysis, initially individually and then as packages of care. The analysis applies a common methodology and assumptions across different disease areas, enabling interventions for different diseases to be compared fairly. Thus, here we analyze interventions to improve MNCH outcomes whereas other papers consider other intervention areas, and a separate summary paper considers the overall implications when a range of interventions are combined. Thirdly, a user-friendly tool kit is available for analysts to input local data and assumptions, to generate their own estimates. The previous round of WHO-CHOICE cost-effectiveness analysis for MNCH was published in 2005. Among the highly cost-effective interventions identified were antenatal care for pregnant women, breastfeeding support, community-based newborn care, and micronutrient supplementation for children. The current study represents the first thorough re-analysis of the cost-effectiveness of interventions targeting MNCH outcomes by WHO since this time. The CHOICE methods and analysis platform have been updated and new health impact models developed. WHO Practice Guidelines have been updated in several areas (eg, antenatal care, intrapartum care, care for small and sick newborn, etc ). A broader set of interventions is considered in the new analysis, including nutritional supplementation before and during pregnancy; and an expanded set of vaccines. Furthermore, a user-friendly country contextualization tool has been developed, to accompany the global level analyses.

Implications for policy makers

Policy-makers in most countries consider cost-effectiveness to be an important criterion when making decisions around what health services to provide. The literature on cost-effectiveness of interventions to improve MNCH outcomes is rich and growing. There are many known high-impact interventions that have been recommended for a long time. However, service coverage remains limited for many interventions and the evidence base needs to be restated to support the case for investment. This paper provides an updated set of cost-effectiveness data for interventions that address MNCH outcomes for 2 geographic regions, following the methods of the WHO-CHOICE approach. These estimates provide a reference point for policy-makers to guide discussions around what interventions to include in national service packages to advance universal health coverage and attain the SDGs. Service packages will differ across settings based upon epidemiological profile, health budgets and local values. These global models form a starting point for the production of country-specific data to guide local discussions.

Implications for public

Suboptimal maternal, newborn and child health (MNCH) outcomes remains a major cause of burden of disease across low- and middle-income countries (LMICs). Many highly cost-effective interventions are not included in current benefit packages provided to the population, or have modest uptake among the population, either because of supply barriers (limited system capacity, low prioritization) or demand barriers (financial barriers, low demand). Estimates on cost-effectiveness can contribute to evidence-based discussions around what to provide in benefit packages. This can ultimately lead to greater investments in interventions that improve MNCH, allowing populations in LMICs to benefit from better health outcomes.

Methods

We examined the costs and impact on health of interventions to improve MNCH outcomes in 2 regions: Eastern sub-Saharan Africa (SSA-E) and South-East Asia (SEA). The regions are consistent with previous published analyses. For a full account of the methods used in this update of the WHO-CHOICE project, we refer to a separate paper that is published as part of this series. In this paper we describe specific methodology related to updating the analytical work for interventions targeting MNCH outcomes, including brief overviews of the models and the intervention assumptions used. The analysis used epidemiological and cost data for 2010, for the SSA-E and SEA Global Burden of Disease regions. Countries included in these regions are listed in Table 1.
Table 1

Countries Included in the Analysis

SEA SSA-E
CambodiaBurundi
IndonesiaComoros
LaosDjibouti
MalaysiaEritrea
MaldivesEthiopia
MyanmarKenya
PhilippinesMadagascar
Sri LankaMalawi
ThailandMauritius
Timor-LesteMozambique
Viet NamRwanda
Somalia
South Sudan
Sudan
Uganda
Tanzania
Zambia

Abbreviations: SEA, South East Asia; SSA-E, Eastern sub-Saharan Africa.

Abbreviations: SEA, South East Asia; SSA-E, Eastern sub-Saharan Africa.

Interventions

We considered interventions across the life course from adolescence to pregnancy and child birth, and during years 0-4 of the child. Interventions included immunization, child healthcare, nutrition, reproductive health, and maternal/newborn healthcare that impact on mortality outcomes for pregnant women or women who recently delivered and children 0-4 years – including stillbirths. Interventions were included based on WHO recommendations, and for which an impact model existed to facilitate modelling. The analysis was undertaken using the Spectrum suite of impact models, and is therefore limited to interventions included in Spectrum, in particular the Lives Saved Tool (LiST) and the Family Planning tool (FamPlan). We evaluated 37 interventions and 12 packages of combined interventions. These included interventions that allow individuals to exercise rights around deciding their family size (access to contraception, safe abortion); interventions which promote healthy practices and behaviors (eg, breastfeeding); interventions which prevent illness (eg, through immunization); and interventions which manage complications and illness (eg, complications arising at birth or infectious disease in childhood). Table 2 lists interventions with a description including the period of implementation/ life course (target population), the health programme, and service delivery platform.
Table 2

Intervention Description and Target for Impact

Number Intervention Name Short Name Intervention Definition Target Population in Need of Intervention Target for Impact Health Programme Service Delivery Platform
Single Interventions 
1 Family planningMNCH_1. FPWomen of reproductive age (15-49 years) in union are provided with counseling and information on different methods for contraception, as well as the commodities required. This includes both traditional and modern methods such as pills and condoms, injectables, IUD, implant, and sterilization, based on country-specific profile of contraceptive methods use.Women of reproductive age (15-49 years) in union Maternal mortalityMaternal and newbornPrimary level care
2 Folic acid supplementationMNCH_2. FASAll women, from the moment they begin trying to conceive until 12 weeks of gestation, should take a folic acid supplement (400 μg folic acid daily).Pregnant womenNewborn (0-1 month), Stillbirths NutritionPrimary level care, including community
3 Safe abortion servicesMNCH_3. SASafe abortion provided to women seeking to terminate pregnancy. Methods include manual or electric vacuum aspiration and medical abortion (mifepristone followed by a prostaglandin).Women seeking to terminate pregnancy (incidence of abortion)Maternal mortalityMaternal and newbornPrimary level care
4 Post abortion case managementMNCH_4. PACTreatment of women experiencing complications after undergoing unsafe abortions. Complications include haemorrhage, sepsis, peritonitis, and trauma to the cervix, vagina, uterus, and abdominal organs. Women seeking to terminate pregnancy (incidence of abortion)Maternal mortalityMaternal and newbornHospital
5 Calcium supplementation in pregnant women for the prevention and management of pre-eclampsia/eclampsia MNCH_5. CSIn populations with low dietary calcium intake, daily calcium supplementation (1.5 g–2.0 g oral elemental calcium) is recommended for pregnant women to reduce the risk of pre-eclampsia.Pregnant womenMaternal mortalityNutrition; Maternal and newbornPrimary level care
6 Daily iron and folic acid supplementation in pregnant womenMNCH_6. DIFADaily oral iron and folic acid supplementation with 30 mg to 60 mg of elemental iron and 400 µg (0.4 mg) folic acid is recommended for pregnant women to prevent maternal anaemia, puerperal sepsis, low birth weight, and preterm birth.Pregnant womenNewborn (0-1 month) Nutrition; Maternal and newbornPrimary level care, including community
7 Balanced energy-protein supplementation to pregnant women living in areas with high food insecurity balanced MNCH_7. BEPSIn undernourished populations, balanced energy and protein dietary supplementation is recommended for pregnant women to reduce the risk of stillbirths and small for gestational age neonates.Pregnant women living in areas with high food insecurity (based on income per capita)Newborn (0-1 month) Nutrition; Maternal and newbornPrimary level care, including community and outreach
8 Tetanus toxoid vaccinationMNCH_8. TTTwo injections of tetanus toxoid vaccine.Pregnant womenMaternal mortality; Newborn (0-1 month)Immunization; Maternal and newbornPrimary level care
9 Intermittent presumptive treatment of malaria in pregnancyMNCH_9. IPTM Intermittent presumptive treatment of malaria of all pregnant women living in areas endemic for Plasmodium falciparum. Pregnant women living in areas endemic for Plasmodium falciparum Maternal mortality; stillbirthsMalaria; Maternal and newbornPrimary level care
10 Syphilis detection and treatment in pregnancyMNCH_10_SYPScreening pregnant women by rapid plasma reagent test and treatment of sero-positive cases with penicillin.Pregnant womenNewborn (0-1 month); stillbirthsMaternal and newbornPrimary level care
11 Hypertensive disease case management in pregnancyMNCH_11. CMHDManagement of moderate to severe hypertension without proteinuria.Pregnant womenMaternal mortalityMaternal and newbornPrimary level care
12 Management of pre-eclampsia (mild and severe) MNCH_12. MPEManagement of hypertension and mild pre-eclampsia through outpatient care; management of severe pre-eclampsia through with magnesium sulfate through inpatient care.Pregnant womenMaternal mortalityMaternal and newbornPrimary level care
13 Ectopic pregnancy case managementMNCH_13.ECTSurgical intervention (laparoscopy or laparotomy) to interrupt an ectopic pregnancy. Pregnant women with ectopic pregnancyMaternal mortalityMaternal and newbornHospital
14 Neonatal resuscitationMNCH_14. NRDetection of breathing problems and resuscitation of newborn when required, using bag and mask.Newborn Newborn (0-1 month) Maternal and newbornPrimary level care
15 Clean cord care (clean birth practices)MNCH_15. CCCUmbilical cord cleansing, with chlorhexidine or other disinfectant.Newborn Newborn (0-1 month) Maternal and newbornPrimary level care
16 Antibiotics for preterm premature rupture of membranesMNCH_16. PPROMHospitalization prior to delivery, with administration of oral antibiotics to women with preterm premature rupture of membranes.Pregnant womenMaternal mortalityMaternal and newbornHospital
17 Management of eclampsia with magnesium-sulphateMNCH_17. MEMSManagement of convulsions associated with eclampsia, occurring ante-, intra- or postpartum.Pregnant womenMaternal mortalityMaternal and newbornHospital
18 Management of maternal sepsis MNCH_18. MMSManagement of sepsis symptoms within 42 days of delivery. Pregnant womenMaternal mortalityMaternal and newbornHospital
19 Promotion of breastfeedingMNCH_19. BFPromotion of early and exclusive breastfeeding through skilled care providers and community health workers.NewbornNewborn (0-1 month) and child (1-59 months)Nutrition; Maternal and newbornPrimary level care, including community
20 Home visits for clean postnatal practicesMNCH_20. CPNPHome visits within 48 hours of delivery to promote clean practices, specifically that the mother washes her hands frequently, the child lives in a clean environment, and no harmful practices are performed. Newborn Newborn (0-1 month) Maternal and newbornCommunity level
21 Vitamin A supplementation (0-4 years)MNCH_21. VASVitamin A supplementation for children 6-59 months of age in countries (or sub-national areas in some cases) where vitamin A deficiency is a public health problem.Children 6-59 months Child (1-59 months)Nutrition; Child Community level
22 Promotion of complementary feedingMNCH_22. CFComprehensive counselling for the caregiver of a child (two full sessions) on the importance of continued breastfeeding after 6 months of age along with information on appropriate complementary feeding practices, through skilled care providers and community health workers. Children 6-11 months Child (1-59 months) Nutrition; Child Primary level care, including community
23 DPT vaccineMNCH_23. DPT3 doses of DPT vaccine.NewbornChild (1-59 months)ImmunizationPrimary level care
24 Hib vaccineMNCH_24. HIB3 doses of HiB vaccine.NewbornChild (1-59 months)ImmunizationPrimary level care
25 Pneumococcal vaccineMNCH_25. PCV3 doses of pneumococcal vaccine.NewbornChild (1-59 months)ImmunizationPrimary level care
26 Rotavirus vaccineMNCH_26. ROTA3 doses of rotavirus vaccine.Newborn Child (1-59 months) ImmunizationPrimary level care
27 Pentavalent vaccine (DPT + Hep B + Hib)MNCH_27. PENTA (DPT + HEPB + HIB)3 doses of pentavalent vaccine (a combination of five vaccines-in-one to prevent diphtheria, tetanus, whooping cough, hepatitis b and haemophilus influenza type b).Newborn Child (1-59 months) ImmunizationPrimary level care
28 Measles vaccineMNCH_28. MCV2 doses of measles vaccine.Newborn Child (1-59 months) ImmunizationPrimary level care
29 Kangaroo mother careMNCH_29. KMCInpatient support to KMC, defined as continuous skin-to-skin contact between a mother and her newborn as well as frequent and exclusive breastfeeding.Newborn Newborn (0-1 month) Maternal and newbornHospital
30 Full supportive care for premature babiesMNCH_30. FSCPrematurely born neonates receive hospital-based full supportive care, including KMC, feeding support/IV fluids, infection prevention/management, oxygen provision, management of neonatal jaundice, nasal CPAP/IPPV (as required), and surfactant for respiratory distress syndrome. Newborn Newborn (0-1 month) Maternal and newbornHospital
31 Case management of severe neonatal infection (sepsis/pneumonia) with full supportive care MNCH_31. CMSNICase management of neonates with suspected sepsis/pneumonia treated with hospital-based full supportive care, including oxygen, IV fluids, IV antibiotics, blood transfusion, phototherapy, etc as needed, in addition to KMC. Newborn Newborn (0-1 month) Maternal and newbornHospital
32 Facility-based management of neonatal infection (sepsis/pneumonia) with injectable (and oral) antibiotics MNCH_32. CMNITreatment of sepsis and infection at first level facility, with 2 days injectable antibiotics followed by oral amoxicillin for 7 days.Newborn Newborn (0-1 month) ChildPrimary level care
33 Management of diarrhea through oral rehydration solution and zincMNCH_33. ORSzincManagement of mild and moderate diarrhea with ORS and zinc tablets.Children 0-59 months Child (1-59 months) ChildCommunity level
34 Community-based management of pneumoniaMNCH_34. CCM_PHome visits for diagnosis and treatment of community-based management of pneumonia in children below the age of 5 years, provided by community health workers.Children 0-59 months Child (1-59 months) ChildCommunity level
35 Antibiotics for treatment of dysenteryMNCH_35. DYSChildren with diarrhea presenting with blood in the stool receive a 3 day course of ciprofloxacin and are re-evaluated after 2 days.Children 0-59 months Child (1-59 months) ChildPrimary level care
36 Facility-based management of pneumoniaMNCH_36. FCM_PManagement of pneumonia with oral antibiotics.Children 0-59 months Child (1-59 months) ChildPrimary level care
37 Management of children with severe acute malnutritionMNCH_37. CMSAMIntegrated management of children with severe acute malnutrition (<-3 Z-score) through outpatient care for cases without medical complication (80%), and inpatient care for cases with medical complications and/or infants younger than 6 months (20%).Children 0-59 months Child (1-59 months) Nutrition; Child Primary level care, including community
Packages 
P1 Preventing and managing unplanned pregnancyMNCH_P1. UPPFamily planning counseling integrated into safe abortion and post-abortion care (3 interventions: includes #1, #3, and #4).Women seeking to plan pregnancyMaternal mortalityMaternal and newbornPrimary level care; (hospital level for post-abortion care)
P2 Comprehensive antenatal care MNCH_P2. ANC A package of antenatal care aligned with WHO guidelines and including tetanus toxoid vaccine, iron supplementation, calcium supplementation, balanced energy supplementation, syphilis detection and treatment, hypertensive disorder case management, MgSO4 management of pre-eclampsia, and IPTM where relevant (8 interventions: includes #5-12). Pregnant womenMaternal mortality; Newborn (0-1 month); StillbirthsMaternal and newbornPrimary level care
P3 Skilled assistance for normal delivery MNCH_P3. SBASkilled assistance with facility-based births, not necessarily EmOC level. Components include immediate assessment and stimulation, support during labor and delivery, active management of the third stage of labour, newborn resuscitation, and clean cord care. (5 interventions, of which #14 and #15 listed above as individual interventions).Pregnant womenMaternal mortality; Newborn (0-1 month); StillbirthsMaternal and newbornPrimary level care
P4 Skilled assistance for normal delivery + family planningMNCH_P4. SBA + FPP3+ integrated postpartum family planning advice and contraceptive provision (6 interventions).Pregnant womenMaternal mortality; Newborn (0-1 month); StillbirthsMaternal and newbornPrimary level care
P5 Skilled delivery + management of complications MNCH_P5. SBA + compSkilled assistance for normal deliveries with quick and efficient referral to quality emergency obstetric care services when complications arise, + induction of labor + full supportive care for newborn infections (12 interventions).Pregnant womenMaternal mortality; Newborn (0-1 month); StillbirthsMaternal and newbornPrimary level care + hospital
P6 Skilled delivery + management of complications + family planningMNCH_P6. SBA + comp + FPP5+ integrated postpartum family planning advice and contraceptive provision (13 interventions of which most are listed above as individual interventions).Pregnant womenMaternal mortality; Newborn (0-1 month); StillbirthsMaternal and newbornPrimary level care + hospital
P7 Case management of newborn complications at referral levelMNCH_P7. CMNCFull supportive care for premature babies + Case management of severe neonatal infection (sepsis/pneumonia) with full supportive care (2 interventions: combines #30 and # 31).Newborns with complications (prematurity, severe infection) Newborn (0-1 month) Maternal and newbornHospital
P8 Community-based newborn and child care MNCH_P8. CBNCCCommunity-based preventive and curative care (breastfeeding promotion, postnatal visits, vitamin A supplementation, management of infections, pneumonia and diarrhea), (5 interventions, listed above as #19-21 + #33 + #34).Newborns and children 0-59 monthsNewborn (0-1 month) and child (1-59 months)Maternal and newborn; ChildCommunity
P9 Infant and young child feeding MNCH_P9. IYCFBreastfeeding promotion + Complementary feeding promotion + Vitamin A supplementation (3 interventions, listed above as #19, #21, #22).Newborns and children 0-59 monthsChild (1-59 months)Nutrition; Child Community and primary level care
P10 Routine EPI (measles, diphtheria, pertussis, tetanus, and tuberculosis)MNCH_P10. EPIBCG, DTP, Hib, and measles immunization (4 interventions).Newborns and children 0-59 monthsChild (1-59 months)ImmunizationPrimary level care
P11 Routine EPI + additional vaccinesMNCH_P11. EPI+ROTA+PCVBCG, DTP, Hib, measles, rotavirus and pneumococcal vaccines (6 interventions).Newborns and children 0-59 monthsNewborn (0-1 month) and child (1-59 months)ImmunizationPrimary level care
P12 Primary level integrated management of the sick child (includes link to the community)MNCH_P12. IMCIManagement of diarrhea, dysentery, pneumonia, and severe malnutrition (4 interventions – combines #33, with #35, #36, #37).Children 0-59 monthsChild (1-59 months)Child Primary level care

Abbreviations: MNCH, maternal, newborn and child health; IUD, intrauterine device; IPPV, intermittent positive-pressure ventilation; CPAP, continuous positive airway pressure; ORS, oral rehydration solution; WHO, World Health Organization; EmOC, emergency obstetric care; SBA, skilled birth assistance; KMC, Kangaroo mother care; BCG, Bacillus Calmette–Guérin; EPI, Expanded Programme on Immunization; Hib, Haemophilus influenza type b; DPT, diptheria, tetanus toxoids and pertussis.

Abbreviations: MNCH, maternal, newborn and child health; IUD, intrauterine device; IPPV, intermittent positive-pressure ventilation; CPAP, continuous positive airway pressure; ORS, oral rehydration solution; WHO, World Health Organization; EmOC, emergency obstetric care; SBA, skilled birth assistance; KMC, Kangaroo mother care; BCG, Bacillus Calmette–Guérin; EPI, Expanded Programme on Immunization; Hib, Haemophilus influenza type b; DPT, diptheria, tetanus toxoids and pertussis. It should be noted that some relevant interventions for maternal and child health, such as HPV vaccine, malaria and HIV/AIDS testing and treatment, were considered as part of analysis for other programmatic areas within the WHO-CHOICE series update and are therefore presented and discussed in other papers belonging to this series. An exception is intermittent preventive treatment in pregnancy for malaria which we consider here as part of the antenatal care package and thus fit for inclusion. In addition to single interventions, we evaluate 12 packages that follow policy-relevant intervention combinations. Interventions and packages are evaluated at three coverage levels, 50%, 80% and 95%. Coverage targets for family planning cannot follow the same logic as they do not refer to a health need but a need for regulating pregnancy (which would never reach 100%). The model therefore incorporates a calculation factor for contraceptive use. We apply a factor of 0.72, which was derived by studying current contraceptive prevalence rates in the Organisation for Economic Co-operation and Development (OECD) countries, which according to recent data reach around 71%-72% for any method. Thus, a 50% coverage for family planning is run in the model as 50% x 0.72 = 36%.

Health Outcomes

Health outcomes were assessed using the Spectrum suite of impact models. The LiST and FamPlan tools have been described in detail elsewhere. The Spectrum platform translates an increase in service coverage into effects on demography and health outcomes (eg, birth spacing, cause-specific mortality, nutritional status). For each intervention/package, the model generates information about the number of deaths that would have occurred in a scenario with zero coverage for the interventions(s) of interest: the “null” scenario. This is compared to a “scale-up” scenario where there is instantaneous scale-up from zero coverage in year 1 to the target coverage (50%, 80% or 95%) in year 2, with target coverage then maintained for 100 years. To generate the “null” for maternal and child interventions, the SPECTRUM software cost-effectiveness tool runs the LiST and FamPlan modules accordingly, generating a scenario where coverage is zero for relevant interventions and the burden of disease increases accordingly. Results are analyzed by country and year. The model accounts for the synergies in effects and causes such that lives saved are not double counted. Deaths averted include maternal, newborn, child (0-4 years) and stillbirths. Deaths averted are converted into healthy life years (HLYs) gained based on age at time of death, average life expectancy for that age bracket, and the average health state valuation for a life saved from age at death until life expectancy. The model is largely restricted to impact measured in terms of mortality changes, however we did include both the “years of life lost” and (average) “years lived with disability” component for the future stream of life saved by the interventions. This allows us to compare the cost-effectiveness ratios in $/HLY gained with those from other disease areas. Disease weights used in the HLY calculations are from the Global Burden of Disease study, 2010. The HLY estimations are thus based on DALY data, and the distinction between DALYs and HLYs is a distinction in name only, not in nature (we believe that “HLYs gained” is a more intuitive measure for decision-makers than “DALYs” when considering investments). The analysis presented here is constrained by the evidence included within the LiST model, and is therefore largely restricted to evaluating impact on mortality. For interventions such as family planning that do not directly impact on mortality, the effect was measured in terms of averted maternal mortality resulting from fewer births. While many interventions are known to also reduce morbidity, unfortunately a lack of reliable data has prevented inclusion of such impact estimates within the LIST model, and therefore the benefits of some interventions are underestimated. For effect sizes used within the analysis see Supplementary file 1.

Cost Assumptions

Costing of interventions followed a standardized framework developed for WHO-CHOICE, and includes patient level delivery costs, programme costs and health system (service delivery) costs. Costs are estimated from the perspective of the government as the health system funder. Costs incurred by patients outside of the direct healthcare (eg, fees for transport) are not included in the analysis. The GCEA analytical perspective assumes there is sufficient health system capacity in place to support the intervention. Quantity assumptions are based on adherence to WHO guidelines for the intervention of interest, and the analysis uses patient level intervention costs from the OneHealth Tool, with detailed prices for medicines and supplies, and with an additional 13% markup rate applied to medicine and supply prices to cover logistics costs. Programme costs follow a standard methodology, with prices from the WHO-CHOICE price database (https://www.who.int/choice) and capital expenses annuitized over the lifetime of the good. Health system (service delivery) costs use WHO-CHOICE country-specific estimates for inpatient and outpatient costs, combined with updated estimates for salary cost of specific health workers. The recent updates to the price databases used by WHO-CHOICE have overall higher cost predictions than previous database. All prices are presented here in 2010 International Dollars (2010 was chosen as the baseline year to align with the 2010 Global Burden of Disease study epidemiological data). Table 2 provides information on assumptions used for target population and mode of delivery. The Supplementary file 2 provides additional detail on cost inputs – including average outpatient visits, health worker time, and health products, per intervention. Costs were estimated for each country using country-specific prices in 2010 I$ and then combined into an aggregate cost for each region, then divided by the total population per sub-region, across 100 years.

Comparing Interventions

All interventions and packages were individually compared to the hypothetical “null” scenario in which the effects of all currently implemented interventions are removed. Health impacts and costs are thus calculated as the difference between the scale-up and null scenarios. All costs and impacts are assessed over a 100-year time frame from 2010-2110, with year-by year results being generated. The average cost-effectiveness ratios (ACERs) were calculated by dividing the total cost for scale-up by the total health gain. In the main scenario presented here, costs are discounted at 3% per annum, whereas HLYs are not discounted (0% discount rate for impact). We also analyzed results when costs and HLYs are both discounted at 3% (results in Supplementary file 3). Additional sensitivity analysis was performed through varying the coverage rates and applying one-way deterministic sensitivity analysis of 25% higher or lower costs for medicines and medical supplies. Designing a package will require prioritization within a budget constraint. The marginal addition of interventions and packages is explored in order to describe an “expansion path” for an essential benefit package for MNCH impact. The expansion path describes the order in which interventions should be implemented in order to maximize health outcomes for any given budget, assuming that cost-effectiveness is the only criteria considered, and no system constraints. Here, we assess how an expansion path might be constructed in a hypothetical setting in South East Asia. For clarity, we include only interventions at 95% coverage, and apply a maximum budget of 4 million I$. We adjusted impact and costs in cases where previous interventions on the expansion path already captured some of the expected health gains.

Results

ACERs for 95% coverage are presented in tables 3 and 4. Cost-effectiveness ratios decrease as coverage levels increase from 50% to 80% and 95% (see Supplementary file 3 for results), reflecting economies of scale built into the programme costs. In general, ACERs are much higher in the South East Asia region than in SSA-E. However, within each region there are interventions which represent very good value for money (Tables 3 and 4).
Table 3

Interventions Presented in Bands of Cost-Effectiveness, SSA-E (95% Population Coverage, 3% Discount Rate for Costs, 0% Discount Rate for Health Effects)

Intervention Short Name ACER Cost Per 1 Million Population (I$) HLY Per 1 Million Population Target Population Group
<$10/HLY gained
Skilled assistance for normal delivery + family planningMNCH_P4. SBA + FP1.2 6266654 5192430Pregnant women
Family planningMNCH_1. FP2.714131612 5256634 Pregnant women
Skilled delivery + management of complications + family planningMNCH_P6. SBA + comp + FP0.4 22857472 54115655 Pregnant women
Preventing and managing unplanned pregnancyMNCH_P1. UPP0.7 1802557 2523029 Pregnant women
Neonatal resuscitationMNCH_14. NR1.0 134391 131675 Newborn
Community-based management of pneumoniaMNCH_34. CCM_P2.5 154459 61116 Child
Facility-based management of pneumoniaMNCH_36. FCM_P3.5 210934 61116 Child
Case management of severe neonatal infection (sepsis/pneumonia) with full supportive care MNCH_31. CMSNI3.6 149142 41339 Newborn
Vitamin A supplementation (0-4 years)MNCH_21. VAS7.1 242300 34309 Child
Facility-based management of neonatal infection (sepsis/pneumonia) with injectable (and oral) antibiotics MNCH_32. CMNI8.2 142418 17303 Newborn
Between $10 and <$100/HLY gained
Measles vaccineMNCH_28. MCV10.1 200492 19891 Child
Home visits for clean postnatal practicesMNCH_20. CPNP11.5 215967 18699 Newborn
Infant and young child feeding MNCH_P9. IYCF11.7 629808 53789 Child
Primary level integrated management of the sick child (includes link to the community)MNCH_P12. IMCI12.3 1820209 147912 Child
Community-based newborn and child care MNCH_P8. CBNCC13.8 2434145 176074 Child
Case management of newborn complications at referral levelMNCH_P7. CMNC14.4 979674 68096 Newborn
Routine EPI (measles, diphtheria, pertussis, tetanus, and tuberculosis)MNCH_P10. EPI14.4 469958 32672 Child
Management of children with severe acute malnutritionMNCH_37. CMSAM16.5 234943 14233 Child
H. influenzae b vaccineMNCH_24. HIB17.5 650325 37210 Child
Kangaroo mother care MNCH_29. KMC20.1 249627 12411 Newborn
Routine EPI + additional vaccines (rotavirus, pneumococcal, HepB – if we use the pentavalent )MNCH_P11. EPI + ROTA + PCV20.1 1023615 51010 Child
Pentavalent vaccine (DPT + Hep B + Hib)MNCH_27. PENTA (DPT + HEPB + HIB)20.1 296640 14791 Child
Management of diarrhea through oral rehydration solution and zincMNCH_33. ORSzinc22.3 1818802 81557 Child
Tetanus toxoid vaccinationMNCH_8. TT22.6 227810 10073 Pregnant women
Clean cord care (clean birth practices)MNCH_15. CCC23.8 137059 5759 Newborn
Syphilis detection and treatment in pregnancyMNCH_10.SYP24.8 233088 9417 Pregnant women
Comprehensive antenatal care MNCH_P2. ANC26.8 1019342 37988 Pregnant women
Balanced energy-protein supplementation to pregnant women with insecure food availability MNCH_7. BEPS27.9 427704 15336 Pregnant women
Promotion of breastfeedingMNCH_19. BF29.0 331717 11449 Newborn
Skilled assistance for normal delivery MNCH_P3. SBA29.6 4558206 153977 Pregnant women
Rotavirus vaccineMNCH_26. ROTA30.1 386284 12840 Child
Pneumococcal vaccineMNCH_25. PCV34.9 750344 21498 Child
Promotion of complementary feedingMNCH_22. CF36.7 215932 5882 Child
Intermittent presumptive treatment of malariaMNCH_9. IPTM53.7 201762 3755 Pregnant women
Skilled delivery + management of complications MNCH_P5. SBA + comp56.9 12423164 218180 Pregnant women
Full supportive care for premature babiesMNCH_30. FSC62.7 726906 11593 Newborn
Management of pre-eclampsia (mild and severe) MNCH_12. MPE85.4 146842 1720 Pregnant women
Management of maternal sepsis MNCH_18. MMS93.0 203655 2190 Pregnant women
Hypertensive disease case management in pregnancyMNCH_11. CMHD94.9 135050 1424 Pregnant women
Between $100 and < $1000/HLY gained
Daily iron and folic acid supplementation in pregnant womenMNCH_6. DIFA111.2 247292 2224 Pregnant women
DPT vaccineMNCH_23. DPT111.9 432267 3862 Child
Antibiotics for treatment of dysenteryMNCH_35. DYS112.7 374913 3325 Child
Safe abortion servicesMNCH_3. SA144.1 151490 1051 Pregnant women
Antibiotics for preterm premature rupture of membranesMNCH_16. PPROM184.2 163204 886 Pregnant women
Post abortion case managementMNCH_4. PAC197.5 155505 787 Pregnant women
Management of eclampsia with magnesium-sulphateMNCH_17. MEMS293.9 189484 645 Pregnant women
Folic acid supplementationMNCH_2. FAS355.9 191051 537 Pregnant women
Between $1000 and < $10000/HLY gained
Ectopic pregnancy case managementMNCH_13.ECT1156.2 160480 139 Pregnant women
Calcium supplementation in pregnant women for the prevention and management of pre-eclampsia/eclampsia MNCH_5. CS1310.6 541387 413 Pregnant women

Abbreviations: SSA-E, Eastern sub-Saharan Africa; ACER, average cost-effectiveness ratio; HLYs, healthy life years; EPI, Expanded Programme on Immunization; Hib, Haemophilus influenza type b; DPT, diptheria, tetanus toxoids and pertussis.

Table 4

Interventions Presented in Bands of Cost-Effectiveness, SEA (95% Population Coverage, 3% Discount Rate for Costs, 0% Discount Rate for Health Effects)

Intervention Short Name ACER Cost Per 1 Million Population (I$) HLY Per 1 Million Population Target Population Group
< $10/HLY gained     
Skilled assistance for normal delivery + family planningMNCH_P4. SBA + FP22.1 231276 3256415 Pregnant women
Neonatal resuscitationMNCH_14. NR1.7 43712 25726 Newborn
Skilled delivery + management of complications + family planningMNCH_P6. SBA + comp + FP35.7242103 3356485 Pregnant women
Community-based management of pneumoniaMNCH_34. CCM_P5.0 49649 9890 Child
Case management of severe neonatal infection (sepsis/pneumonia) with full supportive care MNCH_31. CMSNI6.6 65864 10035 Newborn
Between $10 and <$100/HLY gained     
Facility-based management of pneumoniaMNCH_36. FCM_P10.3 101727 9890 Child
Family planningMNCH_1. FP11.2 2334143 207711 Pregnant women
Vitamin A supplementation (0-4 years)MNCH_21. VAS13.3 97569 7349 Child
Measles vaccineMNCH_28. MCV15.6 110365 7085 Child
Home visits for clean postnatal practicesMNCH_20. CPNP19.0 80671 4241 Newborn
Facility-based management of neonatal infection (sepsis/pneumonia) with injectable (and oral) antibiotics MNCH_32. CMNI19.7 51321 2606 Newborn
Preventing and managing unplanned pregnancyMNCH_P1. UPP23.0 2394085 104074 Pregnant women
Routine EPI (measles, diphtheria, pertussis, tetanus, and tuberculosis)MNCH_P10. EPI30.6 298776 9755 Child
Routine EPI + additional vaccines (rotavirus, pneumococcal, Hep B – if we use the pentavalent)MNCH_P11. EPI + ROTA + PCV38.9 491718 12636 Child
Community-based newborn and child care MNCH_P8. CBNCC39.8 1026101 25773 Child
Kangaroo mother care MNCH_29. KMC44.6 173481 3889 Newborn
Infant and young child feeding MNCH_P9. IYCF47.5 498603 10501 Child
Clean cord care (clean birth practices)MNCH_15. CCC49.2 43504 885 Newborn
Management of children with severe acute malnutritionMNCH_37. CMSAM53.6 107652 2007 Child
Primary level integrated management of the sick child (includes link to the community)MNCH_P12. IMCI54.2 905747 16697 Child
Promotion of breastfeedingMNCH_19. BF54.6 135622 2482 Newborn
Management of diarrhea through oral rehydration solution and zincMNCH_33. ORSzinc63.3 575694 9102 Child
Case management of newborn complications at referral levelMNCH_P7. CMNC67.6 847152 12534 Newborn
Pentavalent vaccine (DPT + Hep B + Hib)MNCH_27. PENTA (DPT + HEPB + HIB)74.3 167531 2254 Child
Balanced energy-protein supplementation to pregnant women with insecure food availability MNCH_7. BEPS87.3 81532 934 Pregnant women
H. influenzae b vaccineMNCH_24. HIB90.0 429887 4778 Child
Between $100 and < $1000/HLY gained     
Syphilis detection and treatment in pregnancyMNCH_10.SYP102.7 158103 1539 Pregnant women
Promotion of complementary feedingMNCH_22. CF109.9 122560 1115 Child
Comprehensive antenatal care MNCH_P2. ANC125.9 705147 5600 Pregnant women
Skilled assistance for normal delivery MNCH_P3. SBA128.6 3030550 23565 Pregnant women
Tetanus toxoid vaccinationMNCH_8. TT136.7 155763 1139 Pregnant women
Pneumococcal vaccineMNCH_25. PCV138.1 468206 3391 Child
Intermittent presumptive treatment of malariaMNCH_9. IPTM142.6 113448 795 Pregnant women
Rotavirus vaccineMNCH_26. ROTA149.6 266987 1785 Child
Full supportive care for premature babiesMNCH_30. FSC154.9 561212 3624 Newborn
Skilled delivery + management of complications MNCH_P5. SBA + comp199.7 6869115 34392 Pregnant women
Daily iron and folic acid supplementation in pregnant womenMNCH_6. DIFA236.1 166450 705 Pregnant women
Folic acid supplementationMNCH_2. FAS281.2 104296 371 Pregnant women
Hypertensive disease case management in pregnancyMNCH_11. CMHD307.4 42471 138 Pregnant women
Management of pre-eclampsia (mild and severe) MNCH_12. MPE342.7 56815 166 Pregnant women
DPT vaccineMNCH_23.DPT556.9 349890 628 Child
Antibiotics for treatment of dysenteryMNCH_35. DYS581.5 230594 397 Child
Management of eclampsia with magnesium-sulphateMNCH_17. MEMS733.0 90613 124 Pregnant women
Safe abortion servicesMNCH_3. SA854.5 68083 80 Pregnant women
Post abortion case managementMNCH_4. PAC875.3 54443 62 Pregnant women
Management of maternal sepsis MNCH_18. MMS928.0 99984 108 Pregnant women
Between $1000 and <$10000/HLY gained     
Antibiotics for preterm premature rupture of membranesMNCH_16. PPROM1863.3 73422 39 Pregnant women
Calcium supplementation in pregnant women for the prevention and management of pre-eclampsia/eclampsia MNCH_5. CS8353.4 364785 44 Pregnant women
Ectopic pregnancy case managementMNCH_13.ECT9834.5 62928 6 Pregnant women

Abbreviations: SEA, South East Asia; ACER, average cost-effectiveness ratio; HLYs, healthy life years; EPI, Expanded Programme on Immunization; Hib, Haemophilus influenza type b; DPT, diptheria, tetanus toxoids and pertussis.

Abbreviations: SSA-E, Eastern sub-Saharan Africa; ACER, average cost-effectiveness ratio; HLYs, healthy life years; EPI, Expanded Programme on Immunization; Hib, Haemophilus influenza type b; DPT, diptheria, tetanus toxoids and pertussis. Abbreviations: SEA, South East Asia; ACER, average cost-effectiveness ratio; HLYs, healthy life years; EPI, Expanded Programme on Immunization; Hib, Haemophilus influenza type b; DPT, diptheria, tetanus toxoids and pertussis. In SSA-E, 27 single interventions and all 12 packages have ACERs below I$100, with 8 interventions between $100-$400 and 2 interventions above $1000. In SEA, half (26) of the interventions and packages have ACERs below I$100, whereas 21 interventions demonstrate ACERs between I$100-I$1000 and 3 interventions fall above I$1000. Generally, the best performing interventions are consistent across the two regions, and include: Family planning Neonatal resuscitation Management of pneumonia Vitamin A supplementation Management of neonatal infection (sepsis/pneumonia) Measles vaccine Across both regions, ACERs below I$100 can be found across all delivery platforms, from community to hospital level. It should be noted that all interventions classified here as “community” have ACERs below I$100. A comparison across countries and programme areas reveals that, out of the interventions analysed, child health and immunization produce the most favourable ACERs. Across the life course, interventions targeting the newborn have the lowest ACERs, closely followed by interventions targeting under-fives (Table 5). In terms of single interventions across the life course, the 9 newborn health interventions are among the most cost-effective, with ACERs ranging from 1.0 to 154.9 across the 2 regions (median = 14.4). Next, child interventions ACERs are estimated to range between 2.5 and 581.5 (median = 15.4). Finally, interventions delivered during pregnancy and child birth have ACERs which range from 0.3 to 9834.5 (median = 27.4). Two interventions come out as the least cost-effective across the two regions: calcium supplementation in pregnant women, and ectopic pregnancy case management.
Table 5

Summary Results by Programme and Life Course Approach (Interventions and Packages Evaluated at 95% Coverage): Comparison of ACERs Across All Countries Included in Study

No. of Interventions Average ACER Lowest ACER Highest ACER
SSA-E
Maternal and newborn health (programme)26 100.5 0.3 1156.2
Child health (programme)6 27.9 2.5 112.7
Immunization (programme)8 32.4 10.1 111.9
Nutrition (programme)9 211.8 7.1 1310.6
Pregnant women/women of reproductive age (life course)22 194.1 0.3 1310.6
Newborn (life course)9 19.4 1.0 62.7
Children aged 1-59 months (life course)18 27.7 2.5 112.7
SEA
Maternal and newborn health (programme)26 655.0 1.7 9834.5
Child health (programme)6 125.7 5.0 581.5
Immunization (programme)8 136.8 15.6 556.9
Nutrition (programme)9 1026.3 13.3 8353.4
Pregnant women/women of reproductive age (life course)221164.811.2 9834.5
Newborn (life course)9 46.4 1.7 154.9
Children aged 1-59 months (life course)18 115.1 5.0 581.5

Abbreviations: ACER, average cost-effectiveness ratio; SEA, South East Asia; SSA-E, Eastern sub-Saharan Africa.

Abbreviations: ACER, average cost-effectiveness ratio; SEA, South East Asia; SSA-E, Eastern sub-Saharan Africa. Overall, the combination of interventions into packages produces favorable ACERs. An example is antenatal care (P2) where the package fares better than individual components such as hypertensive disease case management in pregnancy. The reason for this is the modelled economies of scale introduced in combining facility visits and programme costs. The design of an expansion path for SEA is illustrated in Figure 1. The first intervention is community based management of pneumonia, with an ACER of 5.0; at a cost of 49649 and 9890 HLYs gained. The second intervention included is Case management of severe neonatal infection (sepsis/pneumonia) with full supportive care. Adding subsequent interventions pushes costs upwards until the budget constraint of $4 million is reached. Under these constraints, a total of 11 interventions and packages would be included, if cost-effectiveness was the main criteria. Most interventions included target newborn and child health outcomes.
Figure 1
The Design of an Expansion Path for SEA: An Illustrative Example (Considering Interventions at 95% Coverage). Abbreviations: SEA, South East Asia; EPI, Expanded Programme on Immunization. When a 3% discount rate was applied to benefits, ACERs were significantly higher, indicating that each HLY now came at a higher cost (Supplementary file 3). Interventions and packages that include family planning were pushed a few steps down the ranks, since the effects appear further down the time horizon Still, they remain important interventions, but now somewhat less dominant in the rank order. Aside from this effect, the rank ordering of interventions did not change. Similarly, when costs for commodities and supplies were reduced or increased by 25%, the rank order did not change – indicating that drug and supply inputs are not cost drivers. A breakdown of costs can be useful to examine cost drivers. Figure 2 provides estimates of the annual economic cost of providing the 12 packages, per capita, in I$, in the region of SEA. Specialized health work force is an important contributor to cost for packages P3-P6; less so for the other packages.
Figure 2
Annual Cost Per Capita, 12 Packages, by Cost Component (at 95% Coverage, South East Asia region).

Discussion

We have presented updated WHO-CHOICE results for interventions targeting MNCH outcomes in two geographic regions, as part of a broader update of WHO-CHOICE cost-effectiveness estimates. Examining interventions at 95% coverage, results for SSA-E indicate that more than 39 intervention/package options are available which cost less than $100 per healthy life year gained, with an additional 10 options under $1000 per HLY gained (3% discount rate for costs; 0% discount rate for outcomes). In SEA, overall costs are higher and thus ACERs are in general higher than for SSA-E. Still, 26 options cost less than $100 per healthy life year and an additional 21 are available for ACERs less than $1000. Cost-effective interventions for MNCH can be found in all dimensions of a health system. First, we note that the I$ 0-10 category includes interventions delivered at all platforms, from community level up to primary level and up to hospital level. It is therefore not a given that lower level service delivery platforms should be prioritized on the basis of cost-effectiveness, although other reasons may point in that direction, such as health workforce constraints. Second, cost-effective interventions exist across the life course and cover both prevention and curative interventions. Access to contraceptives through family planning stands out as an investment with high value for money. The counterfactual for the family planning intervention is a context where no-one has access to contraceptives, not even through purchase in pharmacies, which is why the model produces highly cost-effective results. Third, we note the high cost-effectiveness of integrated packages across programmatic areas, including nutrition, immunization, and management of risks, such as within comprehensive antenatal care. Package options are more cost-effective than single procedures around birth (eg, management of eclampsia with magnesium-sulphate), and packages of care are also more feasible in terms of programme implementation. Similarities in rank order across the two regions are driven by the fact that both regions have high maternal and infant mortality, and that many interventions bring consistent value for money across settings – such as management of pneumonia and routine immunization. Indeed, we would not expect otherwise. However, there are important differences across regions. An example is management of maternal sepsis which is given a higher ranking in SSA than in SEA, due to the underlying burden. Across settings, there will be differences in epidemiological structure, related social and economic determinants, commodity prices, costs of health workforce and other inputs, that warrant the need for a context-specific analysis. For this analysis we have compared target coverages against a null scenario. At country level, it would be useful to also compare target coverage against current coverage, in order to assess how far off current investments are from the idealized expansion path. Our findings are consistent with the published literature, which has previously demonstrated high cost-effectiveness of many interventions targeting MNCH outcomes. However, most existing publications are restricted to individual interventions, and do not compare across interventions and packages. Moreover, there is considerable variation across studies in terms of the settings/context (related to country epidemiology and delivery mechanisms), and the analytical methods used (such as time frame and discount rates). For example, many analyses do not report shared health systems costs. Efforts made by initiatives such as DCP3 (Disease Control Priorities, third edition) to consolidate cost-effectiveness evidence are important to the extent that they provide a landscape of the published literature, however they suffer from limitations since they compare studies that use different methods and assumptions. To our knowledge, the WHO-CHOICE approach is unique in generating new estimates for interventions across a range of health programmes through the use of a standardized methodological framework, which explicitly identifies and estimates shared health system costs at and above facility level. Here we present normative estimates for specific geographic regions (“normative” referring to estimates generated for a setting with well-functioning health systems, and where best practice is followed). While there is considerable uncertainty with respect to estimates for the cost per HLY gained, the overall findings are consistent with previous analysis as we continue to find that community and facility-based newborn care, vitamin A supplementation and measles vaccine rank among the most cost-effective interventions. The most striking difference from our updated analysis is the demonstrated high value of family planning. Family planning may be regarded as a distal intervention for reducing maternal mortality as compared to clinical care during pregnancy and childbirth, however our analysis demonstrates that at population level, contraception can play an important role for mortality reduction. Differences in intervention-specific cost-effectiveness estimates compared to the prior analysis are driven by changes in the underlying model (LiST compared to prior Excel based model) and methods (new WHO-CHOICE analysis has adopted approaches where the main scenario presented does not discount health benefits, and also lengthened the implementation period over which health benefits are modelled). While efficacy estimates have not drastically changed, the price databases used by WHO-CHOICE have been updated and costs are now estimated to be higher than in previous studies. In particular, within this analysis we have sought to specifically account for costs related to specialized health workforce, using country-specific salary estimates. Figure 2 demonstrated that packages that entail specific health workforce have higher costs than packages which do not require such resource. On the other hand, commodity costs are modest in comparison. This is also due to falling vaccine prices in recent years. These results underline the need to consider affordability and system constraints when prioritizing interventions for benefit packages. The interventions analyzed conform to WHO guidelines. Our analysis shows that many interventions recommended by WHO are highly cost-effective, but some interventions less so. This underpins the need to consider economic analysis and resource implications within the guideline development process. An example is the WHO 2011 Calcium supplementation guideline which was revalidated in 2018, also in the context of the antenatal care. At the time, resources required for implementation were judged as high compared with other supplements such as iron and folate, and the cost-effectiveness was described as “unknown.” Here we present results that confirm the relatively high cost for implementing calcium supplementation alone, as it ranks last in both regions, though the ANC package (which included calcium supplementation) produced favorable ACERs.

Limitations

The most concerning limitation in our model is the focus on mortality outcomes, with less consideration of morbidity and overall well-being. Most interventions act on risks associated with acute events and with high mortality risks. This focus is driven by current evidence. Our analysis draws on the existing tool set for impact modelling within the Spectrum platform, which would benefit from further expansion. The LiST tool does not fully incorporate all WHO guidelines and not all relevant interventions. There are however current efforts ongoing to address these issues and expand the Spectrum platform to enable modelling a broader set of actions and outcomes, including an expanded set of essential nutrition interventions. Furthermore, we undertook limited uncertainty analysis. Many interventions have similar ACERs, and adjusting one or more variables could change the relative order of ranking. The expansion path presented here should therefore not be interpreted as absolute, but as an indicative example of how a country could examine the order in which to expand the coverage for different interventions.

Conclusion

Most interventions in our analysis are already being delivered in LMICs, and there is currently considerable variation in service uptake across interventions; while immunization rates are generally high, reported coverage of pneumonia treatment lags behind. We argue that, in a context of decreasing development assistance for health, the MNCH agenda is still vulnerable. Evidence on the cost-effectiveness of interventions to improve MNCH outcomes must continuously be emphasized to ensure that resources are allocated to support their implementation. Beyond cost-effectiveness, criteria to consider include targeting the vulnerable, but also overall system capacity to expand coverage, and the absolute levels of investment (financing) needed for expanding service coverage. In order to enable and encourage country-level analysis that uses local data, WHO has shifted its tool set to the Spectrum-based platform which allows for such considerations. Here countries can conduct cost-effectiveness analysis using the Spectrum cost-effectiveness tool and then assess health system implications and financial costs, using the OneHealth Tool, in both cases using the same set of impact models and applying local data and assumptions (see https://www.who.int/teams/health-systems-governance-and-financing/economic-analysis). It should be emphasized that, while cost-effectiveness can help identify value for money, the achievement of the SDG mortality targets requires investing in packages beyond the most easily implemented “best buys.” Previous research has underlined that most MNCH-related deaths will be prevented by quality care provided at facility level. Reducing maternal and newborn mortality to achieve the 2030 targets will require accessible and good quality clinical services. Moreover, investments in other sectors – such as housing, agriculture, energy and education—is critical. With maternal and child mortality still looming high in many countries, there are opportunities to gear investments towards high-impact interventions. Evidence on cost-effectiveness can inform national processes on what to include in the benefit package from a universal health coverage perspective. These tools can be used at national level to inform the design of benefit packages, GFF investment cases and overall priority setting processes.

Ethical issues

No ethical approval was sought as this is a secondary data analysis.

Competing interests

Authors declare that they have no competing interests.

Authors’ contributions

KS conceptualized the paper together with RW and MYB. KS and RW set up the models, conducted the analysis, and validated the results. All authors analyzed and interpreted the results. KS drafted the first version of the manuscript. All authors critically reviewed and edited the manuscript.

Authors’ affiliations

1Department of Health Systems Governance and Financing, World Health Organization (WHO), Geneva, Switzerland. 2School of Population and Global Health, The University of Western Australia, Crawley, WA, Australia. 3Department of Nutrition for Health and Development, World Health Organization (WHO), Geneva, Switzerland. 4Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization (WHO), Geneva, Switzerland. 5Department of Sexual and Reproductive Health and Research, World Health Organization (WHO), Geneva, Switzerland. 6Department of Immunization, Vaccines and Biologicals (IVB), World Health Organization (WHO), Geneva, Switzerland. Supplementary file 1. Effect Sizes Used Within Analysis. Click here for additional data file. Supplementary file 2. Details on Cost Inputs and Prices Used in Analysis. Click here for additional data file. Supplementary file 3. Cost-Effectiveness Results by Level of Coverage, and With Varied Discount Rates. Click here for additional data file.
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Authors:  Melanie Y Bertram; Karin Stenberg; Callum Brindley; Jina Li; Juliana Serje; Rory Watts; Tessa Tan-Torres Edejer
Journal:  Cost Eff Resour Alloc       Date:  2017-10-26

10.  Global health worker salary estimates: an econometric analysis of global earnings data.

Authors:  Juliana Serje; Melanie Y Bertram; Callum Brindley; Jeremy A Lauer
Journal:  Cost Eff Resour Alloc       Date:  2018-03-09
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  3 in total

1.  Progressive Realisation of Universal Health Coverage in Low- and Middle-Income Countries: Beyond the "Best Buys".

Authors:  Melanie Y Bertram; Jeremy A Lauer; Karin Stenberg; Ambinintsoa H Ralaidovy; Tessa Tan-Torres Edejer
Journal:  Int J Health Policy Manag       Date:  2021-11-01

2.  Introduction to the Special Issue on "The World Health Organization Choosing Interventions That Are Cost-Effective (WHO-CHOICE) Update".

Authors:  Melanie Y Bertram; Tessa Tan Torres Edejer
Journal:  Int J Health Policy Manag       Date:  2021-11-01

3.  The Impact of Antimicrobial Stewardship in Children in Low- and Middle-income Countries: A Systematic Review.

Authors:  Yara-Natalie Abo; Bridget Freyne; Diana Kululanga; Penelope A Bryant
Journal:  Pediatr Infect Dis J       Date:  2022-03-01       Impact factor: 2.129

  3 in total

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