Literature DB >> 31106346

A cost-effectiveness analysis of maternal and neonatal health interventions in Ethiopia.

Solomon Tessema Memirie1,2, Mieraf Taddesse Tolla3, Dawit Desalegn4, Mengistu Hailemariam5, Ole Frithjof Norheim2, Stéphane Verguet3, Kjell Arne Johansson2.   

Abstract

Ethiopia is one of the sub-Saharan African countries contributing to the highest number of maternal and neonatal deaths. Coverage of maternal and neonatal health (MNH) interventions has remained very low in Ethiopia. We examined the cost-effectiveness of selected MNH interventions in an Ethiopian setting. We analysed 13 case management and preventive MNH interventions. For all interventions, we used an ingredients-based approach for cost estimation. We employed a static life table model to estimate the health impact of a 20% increase in intervention coverage relative to the baseline. We used disability-adjusted life years (DALYs) as the health outcome measure while costs were expressed in 2018 US$. Analyses were based on local epidemiological, demographic and cost data when available. Our finding shows that 12 out of the 13 interventions included in our analysis were highly cost-effective. Interventions targeting newborns such as neonatal resuscitation (institutional), kangaroo mother care and management of newborn sepsis with injectable antibiotics were the most cost-effective interventions with incremental cost-effectiveness ratios of US$7, US$8 and US$17 per DALY averted, respectively. Obstetric interventions (induction of labour, active management of third stage of labour, management of pre-eclampsia/eclampsia and maternal sepsis, syphilis treatment and tetanus toxoid during pregnancy) and safe abortion cost between US$100 and US$300 per DALY averted. Calcium supplementation for pre-eclampsia and eclampsia prevention was the least cost-effective, with a cost per DALY of about US$3100. Many of the MNH interventions analysed were highly cost-effective, and this evidence can inform the ongoing essential health services package revision in Ethiopia. Our analysis also shows that calcium supplementation does not appear to be cost-effective in our setting.
© The Author(s) 2019. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.

Entities:  

Keywords:  Ethiopia; Maternal and neonatal health; cost-effectiveness analysis

Mesh:

Year:  2019        PMID: 31106346      PMCID: PMC6661540          DOI: 10.1093/heapol/czz034

Source DB:  PubMed          Journal:  Health Policy Plan        ISSN: 0268-1080            Impact factor:   3.344


Key Messages

Most neonatal and obstetric interventions are highly cost-effective in an Ethiopian setting. Neonatal resuscitation and kangaroo mother care were the most cost-effective interventions while calcium supplementation was the least cost-effective among the 13 interventions included in our analysis. The evidence can inform the ongoing essential health services package revision in Ethiopia.

Introduction

With 11 000 women dying during pregnancy or childbirth, Ethiopia is one among the 10 countries that contribute to 60% of the global maternal deaths estimated in 2015 (Trends in maternal mortality: 1990 to 2015, 2015). Even though Ethiopia has witnessed a significant decline in under-five mortality (Central Statistical Agency (CSA) [Ethiopia] and ICF, 2016); the proportion of under-five deaths that occur during the first 28 days of life is increasing. Neonatal deaths accounted for 30% and 43% of under-five deaths in the 2000 and 2016 Demographic and Health Surveys (DHS), respectively (Central Statistical Agency (CSA) [Ethiopia] and ICF, 2001, 2016). Ethiopia is among the five sub-Saharan African countries contributing to the highest number of neonatal deaths, with >90 000 deaths in 2016 (Levels and Trends in Child Mortality, 2017). Maternal and neonatal deaths arise from the risks attributable to pregnancy and childbirth as well as from low coverage and poor-quality health services (Freedman ). Effective interventions during the antenatal period, the time around birth, and the first week of life that can significantly decrease maternal and neonatal deaths are available (Trends in maternal mortality: 1990 to 2015, 2015; Levels and Trends in Child Mortality, 2017), but their coverage levels have remained very low in Ethiopia: coverage of skilled birth attendance and post-natal visits (within 2 days of birth), were in 2015 28% and 13%, respectively (Central Statistical Agency (CSA) [Ethiopia] and ICF, 2016). Maternal and child health has been the focus of both the Millennium Development Goals and sustainable development goals (SDGs) (Sustainable Development Knowledge Platform, 2018). SDG targets 3.1 and 3.2 for maternal and child mortality represent a transformative new agenda towards ending preventable maternal and child deaths globally; all countries aiming to reduce maternal deaths to 70 per 100 000 live births and neonatal mortality to 12 per 1000 live births by 2030 (Sustainable Development Knowledge Platform, 2018). The Ministry of Health of Ethiopia intends to achieve population health levels commensurate with the average of lower middle-income countries in 2025 and upper middle-income countries in 2035 (Admasu ). The national targets set are in line with the SDGs targets for maternal and neonatal deaths. Achievement of these targets requires scale-up of high impact and cost-effective maternal and neonatal interventions in Ethiopia. This is particularly important given the resource scarcity in Ethiopia as evidenced by the sixth National Health Accounts, which reported Ethiopia’s total health expenditure per capita at about US$30 for the years 2013/14 (Federal Democratic Republic of Ethiopia Ministry of Health, 2017). Cost-effectiveness analysis (CEA) in the evaluation of health delivery has become an increasingly accepted component of health policy and planning (World Health Organization, 2010). Experience from several countries, however, has shown that CEA results are rarely used to inform policy decision-making largely due to lack of contextualized evidence (Tan-Torres Edejer ). Absence of local data on estimates of cost and effectiveness of health interventions leads health planners to use evidence generated elsewhere, often from a setting different to the local one. However, studies have shown that several factors may alter the actual cost-effectiveness of a given intervention across settings (Hutubessy ). Evidence on cost-effectiveness of interventions to improve maternal and neonatal health (MNH) outcomes in developing countries is scarce and to our knowledge non-existent in Ethiopia. In this article, we examine the cost-effectiveness of selected MNH interventions in an Ethiopian setting. The evidence generated could inform policymakers on how to efficiently use scarce financial resources.

Methods

Interventions

We evaluate 13 MNH interventions that are provided during pregnancy, childbirth and the neonatal period (Table 1). Interventions were selected based on expert recommendations and scientific evidence of benefit to maternal and neonatal survival (Blencowe ; Cousens ; Lawn ; Mwansa-Kambafwile ; Blencowe ; Hussain ; Imdad ; Jabeen ; Lee ; Pollard ; Ronsmans and Campbell, 2011; Zaidi ). The interventions included were: safe abortion; interventions during pregnancy [tetanus toxoid, syphilis detection and treatment, calcium supplementation, management of pre-eclampsia and eclampsia, antibiotics for preterm pre-labour rupture of membrane (pPRoM), antenatal corticosteroids for preterm labour, induction of labour]; intrapartum interventions (active management of the third stage of labour); post-partum interventions (maternal sepsis case management, newborn sepsis management, neonatal resuscitation and kangaroo mother care). These interventions were selected because they had the most data available, target the most important maternal and neonatal disease conditions in Ethiopia and were among the national priorities of the Ethiopia’s ministry of health (Federal Democratic Republic of Ethiopia Ministry of Health, 2015). Most of these interventions, except calcium supplementation, are part of the essential services rendered in public health facilities in Ethiopia though their coverage is very low (Table 1). For safe abortion services and tetanus toxoid baseline coverage data were extracted from the Health Sector Transformation Plan and the 2016 Ethiopia Health and Demographic Survey, respectively (Federal Democratic Republic of Ethiopia Ministry of Health, 2015; Central Statistical Agency [CSA] [Ethiopia] and ICF, 2016), but for the other interventions, we used baseline coverage rates from the Lives Saved Tool (LiST) (Avenir Health, 2017). Given the low coverage of interventions, we set modest target coverage with a 20 percentage points increase from the baseline of all the interventions.
Table 1

Interventions included in the analysis, their description, target population, baseline and target coverage rates

InterventionDescription of the intervention (number of visits)Population in needBaseline coverage (2017), %Target coverage (Post 2017),a %
Safe abortionMedical abortion using 800 μg vaginal misoprostolb (two visits)Women seeking abortion (20% of births)3757
Tetanus toxoidTwo tetanus toxoid injectionsb (two visits)All pregnant women during ANC visit4969
Syphilis detection and treatmentScreening of all pregnant women by RPR test and treatment of identified cases with benzathine penicillinb (one visit)All pregnant women during ANC visit3151
Calcium supplementationRoutine calcium supplementation during pregnancyb (one visit)All pregnant women during ANC visit020
Management of pre-eclampsia and eclampsiaPackage of care including anti-hypertensives and magnesium sulfatesb (three hospital bed days)Women with pre-eclampsia (2.8% of births) and eclampsia (1%)323
Antibiotics for pPRoMAdministration of oral antibiotics to women with pPRoMb (two hospital bed days)Women with pPRoM (4% of births)323
Antenatal corticosteroids for preterm labourAdministration of steroids and inpatient care of women with suspected preterm labourb (two hospital bed days)Women with premature labour (10.1% of births)020
Active management of the third stage of labourAdministration of prophylactic oxytocin, cord clamping and delivery of the placenta by controlled cord tractionbAll pregnant women2343
Induction of labour (beyond 41 weeks)Induction of labour at 41 weeks gestation with 200 μg misoprostolbWomen at gestational age 41+ weeks (5% of births)323
Maternal sepsis case managementDevelopment of sepsis within the 42 days following delivery, requiring inpatient care including treatment with antibioticsb (four hospital bed days)Women with infection within 42 days of giving birth (4.1% of births)2242
Neonatal resuscitation (institutional)Detection of breathing problems and resuscitation if requiredBirths with asphyxia (1% of births)2646
Newborn sepsisAdministration of IV/IM antibiotics for neonatal sepsis, meningitis, or pneumoniabNeonates with infection (10% of births)2646
Kangaroo mother careThermal care for newborn babies weighing <2000 g through continual skin to skin contact (1 visit)Low birth weight babies (15% of births)2242

Target coverage is an increase in 20% coverage points from the baseline.

Details of the drug regimen, other supplies and laboratory cost are provided in Web Appendix I.

IV/IM, intravenous/intramuscular; pPRoM, preterm pre-labour rupture of membrane; RPR, rapid plasma reagin.

Interventions included in the analysis, their description, target population, baseline and target coverage rates Target coverage is an increase in 20% coverage points from the baseline. Details of the drug regimen, other supplies and laboratory cost are provided in Web Appendix I. IV/IM, intravenous/intramuscular; pPRoM, preterm pre-labour rupture of membrane; RPR, rapid plasma reagin.

Intervention effectiveness and health impacts

Efficacy data were based on available evidence in accordance with a recent update for LiST (Blencowe ; Cousens ; Lawn ; Mwansa-Kambafwile ; Blencowe ; Hussain ; Imdad ; Jabeen ; Lee ; Ronsmans and Campbell, 2011; Zaidi ; Pollard ). We used LiST to determine cause-specific neonatal and maternal deaths associated with diseases/conditions for the baseline coverage levels. LiST combines national inputs on age-specific population size, disease incidence, prevalence and mortality to calculate the number of maternal and neonatal lives saved for a given set of interventions at a specified increase in coverage (Boschi-Pinto ). The number of cause-specific deaths that would be prevented for a change in the coverage of a given intervention would be calculated as (Winfrey ): where, N is the number of deaths at baseline coverage, I is the intervention effectiveness, P0 is the baseline intervention coverage, P1 is the intervention target coverage, AF is the attributable fraction (fraction of the adverse condition such as death that is attributable to a specific exposure). Table 2 presents cause-specific neonatal and maternal outcomes, related baseline deaths, attributable fractions and intervention effectiveness. Once the number of deaths prevented by each intervention was estimated, the disability-adjusted life years (DALYs) averted were also computed, based on the life table for Ethiopia adjusted by health state valuations from the World Health Organization cost-effectiveness and strategic planning (WHO-CHOICE) data for the African region (World Health Organization, 2018a and 2018b). DALYs averted by each intervention were then calculated as the sum of deaths preventable at each age, multiplied by disability-adjusted life expectancy at that age, which were discounted at 3% per year (Tan-Torres Edejer ).
Table 2

Intervention effectiveness on neonatal and maternal mortality and attributable fractions (of deaths)

InterventionNeonatal outcome (number of deaths at baseline coverage)Risk reduction on neonatal mortality (%)Attributable fractionMaternal outcome (number of deaths at baseline coverage)Risk reduction on maternal mortality (%)Attributable fraction
Safe abortionDeaths from unsafe abortion (905)951
Tetanus toxoid (pregnant women)Deaths from tetanus (1684)941Deaths from indirect causes (2887)980.0125
Syphilis detection and treatment (pregnant women)Deaths from severe infection (18 168)970.04
Deaths from congenital abnormality (10 227)800.027
Calcium supplementationDeaths from hypertensive disorders during pregnancy (1734)201
Management of pre-eclampsia and eclampsiaDeaths from hypertensive disorders during pregnancy (1734)591
Antibiotics for pPRoMDeaths from neonatal sepsis (12 292)390.198
Deaths from prematurity (15 450)120.33
Antenatal corticosteroids for preterm labourDeaths from prematurity (15 450)310.33
Active management of the third stage of labourDeaths from post-partum haemorrhage (1716)701
Induction of labour (beyond 41 weeks)Deaths from asphyxia (22 611)690.03
Maternal sepsis case managementDeaths from sepsis (1171)801
Neonatal resuscitation (institutional)Deaths from asphyxia (22 611)401
Newborn sepsis—injectable antibioticsDeaths from neonatal sepsis (12 292)651
Deaths from neonatal pneumonia (5876)751
Kangaroo mother careDeaths from prematurity (15 450)401 
Intervention effectiveness on neonatal and maternal mortality and attributable fractions (of deaths)

Costs

Costs are estimated from the provider’s perspective and only direct medical costs borne by the provider at the point of service delivery were included. Costs were divided into patient- and programme-level costs. Patient-level costs included: drugs, supplies, laboratory, outpatient visits, inpatient stays and individual health education messages. Programme-level costs included resources to establish and maintain an intervention: administration, publicity, training and delivery of supplies. To calculate costs, we used an ingredients approach that requires information on the quantities of inputs needed and their unit price (details of cost computation are presented in Supplementary Data). Costs were computed by multiplying quantities of inputs with their unit price. The quantities of resources used for the interventions were based on WHO-CHOICE assumptions (Table 1). Unit costs for hospital and health centre visits and hospital bed-day costs were extracted from WHO-CHOICE (World Health Organization, 2018c). Costs for laboratory tests were collected from several government health facilities. We used the average value of the laboratory cost depending on the level of service delivery. For drugs and supplies that are traded internationally, we used the median supplier price available internationally in 2015 (Table 3) with adjustment to include transportation costs (Joint Medical Store, 2014; Management Science for Health, 2016). We estimated programme-level costs to be 10% of patient-level costs, based on a previous study in Ethiopia (Mathewos ). We used the same programme-level costs across interventions, which is 10% of the average patient-level cost of all interventions included in our analysis. Direct non-medical costs (e.g. transportation) and indirect costs to patients and caregivers such as lost productivity were not included in the analysis. Total cost was the sum of patient- and programme-level costs. Costs were reported in 2018 US$.
Table 3

Unit cost inputs and socio-demographic data

Description
Unit prices, median (US$)
Description
Unit prices, median (US$)
Drugs and supplies (source: Management Science for Health, 2016)
 Misoprostol 200 µg (TAB/CAP)0.1810Amoxicillin suspension, 1 BOTT0.4600
 Paracetamol, 500 mg (TAB/CAP)0.0044Betamethasone 4 mg/ml (INJ)0.2503
 Tetanus toxoid vial (INJ) per dose0.6869Oxytocin 10 IU AMP (INJ)0.1557
 Benzanthine Pn 2.4 MU vial (INJ)0.2612Ampicillin 500 mg vial (INJ)0.1507
 Calcium Lactate 300 mg (TAB/CAP)0.0129Gentamicin 80 mg AMP (INJ)0.0600
 Sodium lactate solution, 500 ml (IV)0. 5000Gentamicin 20 mg AMP (INJ)0.1760
 MgSO4 5 g/10 ml vial (INJ)0.7340Metronidazole 500 mg vial (INJ)0.5000
 Lidocaine 2 ml AMP (INJ)0.0972Ceftriaxone 250 mg vial (INJ)0.3538
 Hydralazine, 20 mg AMP (INJ)3.8578Foley catheter, ch 14a0.5662
 Erythromycin 250 mg (TAB/CAP)0.0306Urine bag, 2 La0.3700
 Amoxicillin 500 mg (TAB/CAP)0.0300Infant Bag and Maskb20.44
 Syphilis RPR (DIAG) per test0.1250
Healtd service delivery costs (source: World Health Organization, 2018c)
 Hospital (cost per visit)1.59Health centre (cost per visit)1.96
 Hospital (cost per bed day)4.04
Laboratory tests and procedures
 Complete blood count1.98CSFc8.42
 Blood culture and sensitivity1.5
Socio-demographic data
 Total population in 2018107.5 million United Nations Population Division (2017)
 Live births in 20183.34 million FMoH (2017) d
 GDP per capita ($US)707 The World Bank (2016)
 GDP per capita, PPP (Int.$)1735 The World Bank (2016)
 Official exchange rate (ETB per $US)27.5 NBE (2018) e

Source: Joint Medical Store (2014).

Source: https://www.laerdal.com/no/Search.aspx? q=Bag+and+Mask.

Includes the cost of lumbar puncture, cerebrospinal fluid analysis, culture and sensitivity.

Source: The Government of Federal Democratic Republic of Ethiopia (2017).

Source: National Bank of Ethiopia (2018).

Unit cost inputs and socio-demographic data Source: Joint Medical Store (2014). Source: https://www.laerdal.com/no/Search.aspx? q=Bag+and+Mask. Includes the cost of lumbar puncture, cerebrospinal fluid analysis, culture and sensitivity. Source: The Government of Federal Democratic Republic of Ethiopia (2017). Source: National Bank of Ethiopia (2018).

Estimation of cost-effectiveness

We assessed the cost and health effects on the population of the interventions scale-up compared with the current coverage scenario. We opted to use the current coverage levels for the following reasons: (1) most of the interventions were part of the health services package though their coverage rates were very low, ranging from 0% to 49%; (2) For the current coverage levels, baseline mortality data were available from the LiST tool; (3) The current coverage level could impact the magnitude of incremental health benefits of intervention scale-up and subsequently the incremental cost-effectiveness ratios (ICERs); and (4) The policy relevance is likely higher when ICERs are estimated from the current coverage rates. ICERs were estimated dividing the incremental cost by incremental health effects of each intervention for the 20 percentage points coverage increase. Comparing the cost of the intervention with the gain in health could then be used to identify the most cost-effective sets of interventions. ICERs are reported in US$ per DALY averted for the year 2018.

Uncertainty analysis

Given the uncertainty surrounding intervention costs and effectiveness inputs, we conducted a probabilistic uncertainty analysis with Monte Carlo simulations to assess the robustness of our findings (Baltussen ). We used a truncated normal distribution for both costs and effects with 15–25% standard deviations and proceeded to n = 1000 simulation runs. We also conducted one-way sensitivity analyses where we varied the inputs as follows: applying 50% of the effectiveness estimates; doubling the price of drugs, supplies and laboratory tests; no discounting of health benefits; and 75% adherence to treatment.

Results

Annual intervention costs, DALYs averted, and ICERs associated with a 20% coverage increase are shown in Table 4. Kangaroo mother care, neonatal resuscitation (institutional), antibiotics for preterm pre-labour rupture of membrane, antenatal corticosteroids for preterm labour and injectable antibiotics for newborn sepsis cost eclampsia/eclampsia, maternal sepsis case management, syphilis detection and treatment during pregnancy, active management of third stage of labour and tetanus toxoid during pregnancy cost between US$100 and US$300 per DALY averted. The ICER for Calcium supplementation is 3100 per DALY averted, which is 4.4 times the gross domestic product (GDP) per capita in Ethiopia. For all other interventions, the ICERs are less than US$300 per DALY averted, which is <0.4 times the GDP per capita in Ethiopia. The ICERs suggest that interventions for newborn care are highly cost-effective. Neonatal resuscitation, Kangaroo mother care and newborn sepsis management are all estimated to provide 1 DALY averted for a cost of less than US$20.
Table 4

Cost, effects and cost-effectiveness for a 20% points increase in coverage of maternal and neonatal interventions in Ethiopia in 2018

No.InterventionTotal cost US$ (millions)DALYs averted (millions)
ICER (US$ per DALYs averted)
DiscountedUndiscounted
1Kangaroo mother care0.290.0370.0748
2Neonatal resuscitation (institutional)0.360.0550.1107
3Induction of labour (beyond 41 weeks)0.390.0030.005152
4Management of pre-eclampsia and eclampsia0.520.0050.008108
5Antibiotics for preterm pre-labour rupture of membrane (pPRoM)0.590.0090.01769
6Safe abortion0.740.0070.011108
7Antenatal corticosteroids for preterm labour0.840.0090.01798
8Newborn sepsis—injectable antibiotics0.910.0520.10517
9Maternal sepsis case management1.150.0050.009220
10Syphilis detection and treatment (pregnant women)1.520.0070.014224
11Active management of the third stage of labour1.620.0070.011245
12Tetanus toxoid (pregnant women)2.690.0160.032168
13Calcium supplementation4.950.0020.0033081
Cost, effects and cost-effectiveness for a 20% points increase in coverage of maternal and neonatal interventions in Ethiopia in 2018 Implementation of all 12 individual interventions (except calcium supplementation) for a 20% point increase in coverage would avert nearly 8000 neonatal deaths (11% reduction from baseline) and >1000 maternal deaths (10% reduction from baseline) at the cost of nearly US$12 million annually. Neonatal resuscitation, newborn sepsis management and kangaroo mother care would contribute to 80% of the neonatal deaths averted (nearly 6400 deaths) at a cost of nearly US$1.6 million. Table 5 summarizes the results of the one-way sensitivity analyses of individual interventions and shows the substantial uncertainty that resides within the cost-effectiveness estimates. Including undiscounted health benefits halves the ICER of all interventions making all interventions more cost-effective. However, decreasing the intervention effectiveness by 50% doubles the ICERs of interventions. Doubling the cost of drugs, supplies and laboratory increased the ICERs 1.6 to 2 times higher as compared with the base-case. Despite such variations, all the interventions except calcium supplementation, remain at an ICER calcium supplementation was the drug cost, which accounted to 77% of the intervention’s total cost. Figure 1 shows the result of probabilistic sensitivity analysis. It illustrates the considerable uncertainty surrounding our cost-effectiveness estimates, with wide and overlapping cost and effectiveness ranges.
Table 5

ICERs for maternal and neonatal interventions under multiple scenarios

No.InterventionBase-caseUndiscounted health benefits75% adherence to treatmentDouble cost50% effectiveness
1Induction of labour (beyond 41 weeks)15276229256306
2Kangaroo mother care84121216
3Neonatal resuscitation (institutional)73101113
4Management of pre-eclampsia and eclampsia10865162189217
5Antibiotics for preterm pre-labour rupture of membrane (pPRoM)6935104124139
6Safe abortion10870162197216
7Antenatal corticosteroids for preterm labour9849147181196
8Newborn sepsis—injectable antibiotics179263235
9Maternal sepsis case management220133330415440
10Syphilis detection and treatment (pregnant women)224107336430449
11Active management of the third stage of labour245148367470489
12Tetanus toxoid (pregnant women)16884252328336
13Calcium supplementation30811925477060876167
Figure 1

Probabilistic sensitivity analysis of MNH interventions in Ethiopia.

Probabilistic sensitivity analysis of MNH interventions in Ethiopia. ICERs for maternal and neonatal interventions under multiple scenarios

Discussion

Our analysis showed that 12 out of the 13 MNH interventions were highly cost-effective. All interventions that are included in our analysis (except calcium supplementation that is not yet implemented in public health facilities) are not entirely new to the Ethiopian health system. However, most of the interventions have a very low coverage rate. Therefore, assessing the cost-effectiveness of interventions that are currently implemented as well as adding those that could potentially be introduced can assist policymakers and planners in Ethiopia to prioritize the unfinished agenda of MNH. All interventions, besides calcium supplementation, were found to be very cost-effective (calcium supplementation and safe abortion were not included in their analysis however). A study conducted on the cost-effectiveness of calcium supplementation in Colombia concluded that varying the cost of calcium tablets or the incidence of pre-eclampsia renders the intervention no longer cost-effective for a threshold of three times Colombia’s GDP per capita (Becerra ). Our results demonstrate that the interventions that could be delivered at the primary health care (PHC) level were very cost-effective. In the last decade, Ethiopia has introduced a health extension programme with the training and deployment of >38 000 health extension workers (HEWs) which represents an opportunity to scale-up MNH interventions at the community level (Federal Democratic Republic of Ethiopia Ministry of Health 2015; Federal Ministry of Health of Ethiopia 2007). HEWs could indeed play important roles such as identifying pregnant women and teaching them to identify complications that arise during pregnancy and responding immediately; or providing post-delivery follow-up care for the mother infant pair. Management of neonatal infection with antibiotics and community care of newborns were found to be effective in reducing neonatal mortality and scalable at the community level (Baqui ; Traa ). Furthermore, a programme intervention study conducted in the Southern part of Ethiopia (using a ‘continuum of care’ approach) to evaluate the delivery of essential antenatal and obstetric services in communities through HEWs resulted in a significant decline in both maternal deaths and stillbirths highlighting the feasibility and effectiveness of maternal and neonatal interventions in Ethiopia (Lindtjørn , 2018). Delivery of services at the community level using HEWs has the additional benefit of bringing care to all women and infants, particularly to those socio-economically disadvantaged and marginalized rural residents. In our analysis, kangaroo mother care that was offered in neonatal facilities was very cost-effective (US$8 per DALY averted). Perhaps the introduction of KMC along with breastfeeding support for preterm/low birth weight newborns at the community level may even be a more cost-effective alternative than providing this service in neonatal wards. Safe abortion care is one of the cost-effective services that can be delivered effectively at PHC facilities. The cost of treatment from the provider perspective to provide safe abortion using the medical method (vaginal misoprostol) for a single case was US$10 in Ghana, which is comparable to our estimate of an average cost per patient close to US$8 (Hu ). Safe abortion at the health centre level, such as manual vacuum aspiration or medical abortion using misoprostol resulted in substantial cost savings as compared with dilatation and curettage that is often hospital based. Most public health centres in Ethiopia are not currently providing safe abortion services (Federal Democratic Republic of Ethiopia Ministry of Health, 2015). The broadening of legal indications for abortion (the 2005 revised family law of Ethiopia) and the issuance of safe abortion technical guideline in 2006 created a favourable environment to scale-up delivery of safe abortion services in Ethiopia. Despite the fact that most of the interventions delivered at the community level and in PHC facilities are very cost-effective, prevention of most maternal and neonatal deaths requires access to quality clinical care services. Improving quality of care is often considered very costly. However, a research project by the prevention of maternal mortality network in West Africa found that renovation or upgrading of essential obstetric care services in district hospitals and health centres was not as expensive as often assumed. Most developing countries have extensive health systems that are often under-utilized. With inputs such as opening operating rooms with a supply of electricity and blood banks, for less than $15 000, improvement in the provision of quality delivery care services with significant impact on maternal mortality have been seen (Prevention of Maternal Mortality Network, 1997). Ethiopia has undertaken an accelerated expansion of PHC facilities since 2003 and currently there are >3300 functional health centres that could serve as important inputs in the scale-up of obstetric care in Ethiopia (Federal Democratic Republic of Ethiopia Ministry of Health, 2015). Additionally, delivery of quality obstetric and neonatal services requires a reliable supply of medicines, functioning equipment and respectful provider attitude (Kruk ). Cultural factors also influence utilization of facility delivery care services. According to 2014 Ethiopian Mini DHS, 34% of rural women reported that facility deliveries were not customary highlighting the need for enhanced community mobilization (Central Statistical Agency, 2014). The study has several limitations. First, our analysis does not include all possible maternal and neonatal interventions that could be considered in Ethiopia. Additional analysis may therefore be warranted. Second, the efficacy data we used were derived from studies conducted in more developed countries with higher quality of services and may not translate directly to Ethiopia. In the analysis of cost, we have included patient- and programme-level intervention costs that are incremental to the current coverage levels and fail to address the cost required for facility expansion. Data on perinatal mortality were not included in the analysis that may result in under estimation of the cost-effectiveness of interventions such as syphilis case detection and treatment. Due to the possibility of interactions in both cost and health impacts of implementing several single interventions at once; it is likely that the deaths averted could have been overestimated. Despite these limitations, our findings can guide future health sector planning in Ethiopia. Along with the government’s vision to become a middle-income country, the Ministry of Health of Ethiopia has set ambitious health targets (Admasu ). The key strategy is ensuring universal access of basic health interventions for all Ethiopians mainly through strengthening PHC. The base-case scenario targets in Ethiopia for 2025 includes; a maternal mortality ratio of 260 per 100 000 live births, neonatal mortality rate of 28 per 1000 live births and 77% coverage for four antenatal care visits and skilled birth attendance. Even though our analysis considered a 20% point increase in coverage in a year, further scale-up of all individual interventions (excluding calcium supplementation) to the target coverage rates as set in the envisioning document will likely contribute to the achievement of maternal and neonatal mortality targets. The annual budget required to implement a 20% increase in coverage of all the 12 individual interventions costs an additional 0.11 US$per capita which is 0.46% of the 2013/14 annual total health expenditure (2.52 billion US$) for Ethiopia. In comparison, according to a study on CEA of cardiovascular diseases interventions in Ethiopia, combination of drug treatment for absolute risk of cardiovascular diseases >35% (which had the lowest ICER, 67 US$per DALYs averted) was estimated to cost 0.4% of the 2010/11 annual total health expenditure (1.6 billion US$) and averts about 107 000 DALYs (Tolla ). Similarly, a CEA of mental health interventions showed a 2.1% increase in annual total health budget (2012) would be required to implement the mental health interventions in Ethiopia with an expected health gain of 197 000 healthy life years (Strand et al., 2015). While evidence on cost-effectiveness is an important tool in prioritizing health interventions, it should not be the only consideration in the selection of interventions for implementation in a country. The priority setting process should also consider other socially desirable goals and major health system objectives such as equity and financial risk protection (World Health Organization, 2014). For example, most interventions included in our analysis could be further evaluated in terms of the gains in financial risk protection they bring to Ethiopian families (e.g. reduction in medical impoverishment related to maternal and child health conditions) (Johansson ; Pecenka ; Verguet ; Memirie ). In this respect, many of the interventions examined in this article could be delivered at PHC facilities bringing care nearer to rural women and infants where most of the poorer Ethiopians reside (Moges, 2013).

Conclusions

Given the substantial health dividend from investing in universal coverage of the intervention included in our analysis, this evidence could inform national policymakers to prioritize scale-up of maternal and child health interventions in Ethiopia. It can also inform the ongoing essential health services package revision in Ethiopia. Our analysis also suggests that calcium supplementation may not be prioritized for inclusion in Ethiopia’s essential MNH intervention package. Click here for additional data file.
  11 in total

1.  Prevalence and associated factors of neonatal mortality in Ethiopia.

Authors:  Walelgn Gete Alamirew; Denekew Bitew Belay; Melkamu A Zeru; Muluwerk Ayele Derebe; Senait Cherie Adegeh
Journal:  Sci Rep       Date:  2022-07-15       Impact factor: 4.996

2.  Introduction of birth dose of hepatitis B virus vaccine to the immunization program in Ethiopia: an economic evaluation.

Authors:  Solomon Tessema Memirie; Hailemichael Desalegn; Mulugeta Naizgi; Mulat Nigus; Lisanu Taddesse; Yared Tadesse; Fasil Tessema; Meseret Zelalem; Tsinuel Girma
Journal:  Cost Eff Resour Alloc       Date:  2020-07-22

3.  Cost-effectiveness of antenatal corticosteroids and tocolytic agents in the management of preterm birth: A systematic review.

Authors:  Elizabeth Sebastian; Chloe Bykersma; Alexander Eggleston; Katherine E Eddy; Sher Ting Chim; Rana Islamiah Zahroh; Nick Scott; Doris Chou; Olufemi T Oladapo; Joshua P Vogel
Journal:  EClinicalMedicine       Date:  2022-06-03

4.  Cost-effectiveness of inhaled oxytocin for prevention of postpartum haemorrhage: a modelling study applied to two high burden settings.

Authors:  Natalie Carvalho; Mohammad Enamul Hoque; Victoria L Oliver; Abbey Byrne; Michelle Kermode; Pete Lambert; Michelle P McIntosh; Alison Morgan
Journal:  BMC Med       Date:  2020-07-28       Impact factor: 8.775

Review 5.  Country contextualisation of cost-effectiveness studies: lessons from Ethiopia.

Authors:  Kjell Arne Johansson; Mieraf Taddesse Tolla; Solomon Tessema Memirie; Ingrid Miljeteig; Mahlet Kifle Habtemariam; Addis Tamire Woldemariam; Stéphane Verguet; Ole Frithjof Norheim
Journal:  BMJ Glob Health       Date:  2019-12-01

6.  The cost-effectiveness of a program to reduce intrapartum and neonatal mortality in a referral hospital in Ghana.

Authors:  Stephanie Bogdewic; Rohit Ramaswamy; David M Goodman; Emmanuel K Srofenyoh; Sebnem Ucer; Medge D Owen
Journal:  PLoS One       Date:  2020-11-13       Impact factor: 3.240

7.  Neonatal mortality and associated factors in Ethiopia: a cross-sectional population-based study.

Authors:  Habtamu Dessie Mitiku
Journal:  BMC Womens Health       Date:  2021-04-16       Impact factor: 2.809

8.  Generalised cost-effectiveness analysis of 159 health interventions for the Ethiopian essential health service package.

Authors:  Getachew Teshome Eregata; Alemayehu Hailu; Karin Stenberg; Kjell Arne Johansson; Ole Frithjof Norheim; Melanie Y Bertram
Journal:  Cost Eff Resour Alloc       Date:  2021-01-06

9.  Cost-effectiveness analysis of alcohol handrub for the prevention of neonatal bloodstream infections: Evidence from HAI-Ghana study.

Authors:  Ama Pokuaa Fenny; Evans Otieku; Kwaku Appiah-Korang Labi; Felix Ankomah Asante; Ulrika Enemark
Journal:  PLoS One       Date:  2022-03-04       Impact factor: 3.240

10.  Implementing standard antenatal care interventions: health system cost at primary health facilities in Tanzania.

Authors:  Amisa Tindamanyile Chamani; Amani Thomas Mori; Bjarne Robberstad
Journal:  Cost Eff Resour Alloc       Date:  2021-12-07
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