Skip to main content
Download PDF

Optimum maternal healthcare service utilization and infant mortality in Ethiopia

BMC Pregnancy and Childbirth volume 21, Article number: 390 (2021) Cite this article

Abstract

Background

Ethiopia has one of the highest rates of infant mortality in the world. Utilization of maternal healthcare during pregnancy, at delivery, and after delivery is critical to reducing the risk of infant mortality. Studies in Ethiopia have shown how infant survival is affected by utilization of maternal healthcare services, however, no studies to date have investigated the relationship between optimum utilization of maternal healthcare services utilization and infant mortality. Therefore, this study examined the effect of optimum utilization of maternal healthcare service on infant mortality in Ethiopia based on the World Health Organization (WHO, 2010) guidelines.

Methods

We used nationally representative cross-sectional data from the Ethiopian Demographic and Health Survey (EDHS). Sampling weights were applied to adjust for the non-proportional allocation of the sample to the nine regions and two city administrations as well as the sample difference across urban and rural areas. A total of 7193 most recent births from mothers who had provided complete information on infant mortality, ANC visits, tetanus injections, place of delivery and skilled birth attendance during pregnancy were included. The EDHS was conducted from January to June 2016. We applied a multivariate logistic regression analysis to estimate the relationship between optimum maternal healthcare service utilization and infant mortality in Ethiopia.

Results

The findings from this study showed that optimum maternal healthcare service utilization had a significant association with infant mortality after adjusting for other socioeconomic characteristics. This implies that increased maternal healthcare service utilization decreases the rate of infant mortality in Ethiopia. The main finding from this study indicated that infant mortality was reduced by approximately 66% among mothers who had high utilization of maternal healthcare services compared to mothers who had not utilized maternal healthcare services (AOR = 0.34; 95%CI: 0.16–0.75; p-value = 0.007). Furthermore, infant mortality was reduced by approximately 46% among mothers who had low utilization of maternal healthcare services compared to mothers who had not utilized any maternal healthcare services (AOR = 0.54; 95%CI: 0.31–0.97; p-value = 0.040).

Conclusions

From this study, we concluded that optimum utilization of maternal healthcare services during pregnancy, at delivery and after delivery might reduce the rate of infant mortality in Ethiopia.

Peer Review reports

Background

Infant mortality is defined as the number of deaths of children under 1 year of age per 1000 live births in the same year [1]. It is an essential national health indicator; a high rate of infant mortality may be an indicator of poor healthcare infrastructure or poor health services [1, 2]. A reduction in infant mortality is one of the priorities of global health and international development agendas [3, 4]. It was a priority area during the MDGs, and it remains as a priority area in the SDGs for 2030 [5, 6]. Over the past two decades, the world has achieved remarkable progress in child survival [4]. Globally, the IMR has decreased by 50% between 1990 and 2017 [4]. According to a 2017 WHO report, infant mortality accounts for 75% of all under-5 deaths [4]. The risk of a child dying before completing their first year of life was six times higher in the African region than that in the European region [4]. Infant deaths in developing countries are mainly due to preventable causes, such as pneumonia and diarrhoea [7]. The majority of infant deaths are due to avoidable causes and can be prevented using basic maternal healthcare service interventions, including the utilisation of prenatal care services, skilled delivery and postnatal care [8,9,10]. Despite the government’s considerable efforts to decrease the number of infant deaths, the rate of infant mortality in Ethiopia remains among the highest in the world [11, 12]. One of the key reasons for high infant mortality in Ethiopia is the low utilisation of modern healthcare services by many women in Ethiopia [13]. Previous cross-sectional studies based on DHS data in Ethiopia have clearly indicated that utilisation of maternal health services is very low in the country [14].

According to results of the Global Burden of Disease Study in 2015, achieving the SDG targets regarding maternal and child mortality by 2030 will require 91% coverage of one ANC visit, 78% of four ANC visits, 81% of in-facility delivery and 87% of skilled birth attendance [15]. In Ethiopia ANC utilisation coverage, skilled delivery and postnatal care utilisation were 35, 62, 28 and 17%, respectively [16]. Even though home delivery remains high, primarily in hard-to-reach rural areas, there have been improvements in ANC service utilisation and institutional delivery in Ethiopia [16].

A large global health study reported that half of the world’s population do not have access to modern health services [17]. However, access is one of the basic principles of universal health service coverage [18]. The United Nations General Assembly has called on all countries to ensure universal health service coverage by 2030 [19]. Ethiopia is one of the countries with a high disease burden of reproductive health problems, maternal health problems, neonatal and child health problems and infectious diseases problems [20]. Additionally, the country has low basic health service coverage and low health service utilisation [21]. In 2015, the national health service coverage was 34.3%, ranging from 52.2% in the Addis Ababa city administration to 10% in the Afar region; the universal health service coverage for neonatal and child health was 37.5% [22].

In this study, optimum maternal healthcare service utilisation is defined as the utilisation of WHO-recommended ANC visits, tetanus injection, skilled delivery, place of delivery and postnatal checks. The WHO recommends that a pregnant woman should receive a minimum of four ANC visits [23]. According to the WHO, the essential components of a basic prenatal care program are the identification of pregnancy, management of pregnancy-related complications, treatment of underlying illnesses, disease screening, preventive measures including tetanus toxoid immunisation, de-worming, iron and folic acid, treatment of malaria in pregnancy, a birth and emergency preparedness plan, promotion of healthy behaviours at home, helping the pregnant woman and her partner prepare emotionally and physically for birth and care of their baby, and the promotion of postnatal family planning/birth spacing [23].

Poor utilisation of maternal healthcare services has a significant impact on child health outcomes [24]. Utilisation of recommended ANC during pregnancy improves maternal and child health outcomes [25]. Evidence from DHS data from 17 SSA countries showed that having prenatal care provided by a skilled practitioner reduced the odds of neonatal mortality by 30% [26]. Findings from a systematic review in Ethiopia also showed that ANC utilisation reduced neonatal mortality by 34% [27, 28]. Having optimum ANC follow-up for either chronic or acute diseases during pregnancy can prevent further complications occurring for mothers and infants and reduce the prevalence of low birth weight by improving the nutritional status of a mother during pregnancy [29,30,31].

Tetanus immunisation during pregnancy has been associated with a reduction in infant mortality; providing women with two doses of tetanus toxoid was estimated to reduce mortality from neonatal tetanus by 94% [32]. The deaths of early infants caused by neonatal tetanus can also be decreased by half through a combination of maternal tetanus immunisation and clean delivery practices [33].

Previous studies have found an association between the deaths of children less than 1 year old and skilled birth and health facility delivery [34]. A systematic review from developing countries showed that delivery at health facilities reduced the risk of under-1 child mortality by 29% [34]. A systematic review conducted in developing countries found that frequent postnatal visits reduced neonatal deaths; it was also encouraged that women breastfeed exclusively [35].

Infant mortality is significantly associated with the number of ANC visits, tetanus injections during pregnancy, the place of delivery and skilled birth attendance, among other variables. Maternal healthcare service utilisation during pregnancy and delivery decreases the risk of infant mortality. However, independently examining the relationships between infant mortality and each of ANC visits, postnatal care and tetanus vaccination might not give adequate evidence for policy formulation. For example, if a pregnant woman has attended the recommended ANC, but was not assisted by a skilled health professional and did not follow up on postnatal care, the survival of her child may be at higher risk.

The interrelated nature of these maternal healthcare service indicators needs to be addressed in an integrated way to enhance the survival chances of infants. Therefore, in this study, five indices of maternal healthcare services were combined by scoring each indicator to produce a combined score. Combining the indices of maternal healthcare service utilisation can help in understanding the effects of optimum maternal healthcare service utilisation on infant mortality in Ethiopia. We expected that the rate of infant mortality would be lower among women who had a high utilisation of maternal healthcare services, compared to women who had no experience of maternal healthcare service utilisation.

Methods

Study area and setting

We used data from the fourth EDHS, which was conducted from January 18, 2016, to June 27, 2016. The EDHS was conducted by the Central Statistics Agency in collaboration with the Federal Ministry of Health and the Ethiopian Public Health Institute with technical assistance from ICF International and funding from the United States Agency for International Development. The study was conducted in all nine geographical regions and two administrative cities of Ethiopia [16].

Study design and sampling

The 2016 EDHS is a nationally representative cross-sectional household survey. Study participants were selected through a stratified two-stage cluster sampling technique. The sampling frame used for the 2016 EDHS was the Ethiopia Population and Housing Census, which was conducted in 2007 by the Ethiopian Central Statistics Agency. It contained information about the EA location, type of residence (urban or rural) and estimated number of residential households. The 2016 EDHS sample was stratified and selected in two stages [16]. In the first stage, a total of 645 EAs (202 in urban areas and 443 in rural areas) were selected with probabilities proportional to EA size (based on the 2007 Population and Housing Census). In the second stage, 28 households were selected per cluster with equal-probability systematic sampling. All women aged 15–49 years who were either permanent residents of the selected households or visitors who stayed in the household the night before the survey were eligible to be interviewed [16]. In the original sample, 15,683 women of child-bearing age who had live births within the 5 years prior to the survey were interviewed [16]. Out of 15,683 women of child-bearing 10,641 women who had live births within the 5 years were selected. Finally, a total of 7193 most recent births who had provided complete information on infant mortality, ANC visits, tetanus injections, place of delivery and skilled birth attendance during pregnancy were included.

Study variables

The outcome variable for this study was infant death (either ‘yes’ or ‘no’).

Data analysis

Data were analysed using Stata version 15. The data were weighted before use to ensure representativeness, since a cluster design approach was used. Data were cleaned for completeness, and descriptive statistics are presented.

At the first stage of the analysis, a chi-square model was used to establish an association between infant mortality and the independent variables mentioned in Table 1. Additionally, a chi-square model was used to establish an association between maternal healthcare service utilisation and other independent variables to identify confounding variables. Thereafter, statistically significant variables (α < 5%) associated with infant mortality and associated with maternal healthcare service utilisation were entered into a multivariate model to account for confounding. Finally, multivariate logistic regression analysis was performed to estimate the AORs. The association between maternal healthcare service utilisation and infant mortality was expressed using AORs with 95% confidence intervals. A p value of .05 was used as the cut-off for statistical significance.

Table 1 Description and Measurement of Exposure Variables
Full size table

Results

The rate of infant mortality was higher among boys than girls: 23.8 per 1000 and 8.6 per 1000, respectively. Of all infant deaths, 73.6% were male. The rate of infant mortality in rural areas was 29.5 per 1000. The rate of infant mortality was higher in rural areas than in urban areas (2.9 per 1000). The rate of infant mortality decreased when maternal education increased. The rate of infant mortality was higher among infants born with a small birth size compared to infants born with an average birth size. The rate of infant mortality was higher across women who had not used maternal healthcare services, compared with women who had high maternal healthcare service use (see Tables 2 and 3).

Table 2 Frequency and percentage distribution of infant mortality by study population characteristics
Full size table
Table 3 Comparison of the original sample and selected sample
Full size table

According to the multivariate logistic regression model, infant mortality was significantly associated with multiple births, birth interval, number of pregnancy losses (miscarriage, abortion or stillbirth) or child deaths, and maternal healthcare utilisation. Women with multiple pregnancies had higher odds of infant mortality compared with women who had a single pregnancy, AOR = 11.7, 95% CI [5.45, 25.19], p < .001. Preceding birth interval was also significantly associated with infant mortality; an infant with a short birth interval had higher odds of death compared with an infant born with an interval of 24 to 59 months, AOR = 1.6, 95% CI [1.11, 2.s, p = .005. Other controlling variables associated with infant mortality included pregnancy loss and previous history of child deaths. As the number of pregnancy losses and previous child deaths increased, infant mortality also increased; infants born to women with more than three pregnancy-related events were 7.2 times more likely to die compared with infants born to mothers who had no pregnancy losses or child deaths, AOR = 7.16, 95% CI [2.38, 21.50, p < .001. Women’s access to modern healthcare services was significantly associated with deaths of children under 1 year; infants of women who had high access to modern healthcare services had lower odds of death compared with infants of women who had no access to modern healthcare services, AOR = 0.34, 95%CI [0.16, 0.75], p = .007 (see Table 4).

Table 4 Multivariate logistic regression association of maternal healthcare service utilisation with infant mortality in Ethiopia
Full size table

Discussion

The rate of infant mortality was lower among women who experienced high utilisation of maternal healthcare services compared with women who had no experience of maternal healthcare service utilisation: 3.7 and 12.3 per 1000, respectively. These rates of infant deaths are consistent with a previous study conducted in Nigeria, which reported that the mean maternal healthcare service utilisation was higher among mothers who reported low infant deaths compared to mothers who reported high infant deaths [38].

The results from the multivariate analysis in this study showed that the combined five indicators of maternal healthcare service utilisation (antenatal attendance, tetanus injection, place of delivery, skilled birth attendance and postnatal check) were significantly associated with infant deaths. The findings from this study showed that optimum maternal healthcare service utilisation had a significant association with infant mortality: as maternal healthcare service utilisation increased, infant mortality decreased. Having high maternal healthcare service utilisation prevented infant mortality by approximately 66% compared to having no maternal healthcare service utilisation. Additionally, having low maternal healthcare service utilisation prevented infant mortality by 46% compared to having no maternal healthcare service utilisation at all. Previous studies have reported that high maternal healthcare service utilisation during pregnancy is essential for mothers’ health and the survival of their infants [26, 39]. Optimum maternal healthcare service utilisation during and after pregnancy is critical for the survival of an infant; early and regular maternal healthcare service utilisation is also essential for the health of both the mother and the infant [40]. Optimum maternal healthcare service utilisation, such as having the recommended number of ANC visits and receiving appropriate and timely care, ensures the survival of child [41]. While many previous studies have shown how infant mortality is affected by independent maternal healthcare service utilisation, examining independent relationships might not give adequate evidence regarding how maternal healthcare utilisation affects infant mortality [42, 43]. An infant of a woman who attended ANC but was not assisted by a skilled health professional during delivery may have reduced odds of survival. The evidence on combined indices of maternal healthcare service utilisation may provide clearer insight to policymakers in Ethiopia. The findings from this study may also contribute to the current literature on how combined maternal healthcare services could affect infant mortality.

Access to and utilisation of healthcare facilities during pregnancy can increase the likelihood of a woman using skilled birth attendance during delivery and postnatal check-up, which are essential to the survival of the infant. This finding is consistent with the literature on the association between maternal healthcare service utilisation and infant survival. The rate of low maternal healthcare service utilisation in Ethiopia is one of the highest in the world, which is also one of the contributing factors to high infant mortality in the country [44]. In a birth-cohort and matched case–control study in Ethiopia, it was reported that utilising ANC reduced infant mortality [45, 46]. This could be because mothers who attended ANC during pregnancy could properly receive services such as nutritional counselling, nutritional screening and more [47]. Maternal healthcare service utilisation may help to inform and educate mothers about maternal and infant health. It can provide an opportunity to screen for warning signs of pregnancy complications and to treat infections [27]. Additionally, maternal healthcare service use enables health workers to teach women about complications during pregnancy, labour and delivery [48]. Furthermore, ANC utilisation provides an opportunity to inform women about danger signs and the importance of modern healthcare utilisation [48].

A previous study investigating the combined effects of maternal healthcare service utilisation on infant mortality in Nigeria showed that infant deaths were higher among women with no or low maternal healthcare service utilisation compared to those with high and complete maternal healthcare service utilisation [38]. A national study in Kenya showed that a lack of skilled ANC and insufficient ANC visits increased neonatal mortality. In the same study, researchers also indicated that a single tetanus toxoid vaccination during pregnancy could prevent about 10% of neonatal deaths [49].

Prenatal healthcare service utilisation during pregnancy is critical for the fetus’s and the mother’s health. It also increases the chance of using a skilled birth attendant, which improves the likelihood of child survival in the first year of life [42]. ANC provides an opportunity to identify risk factors, prevent complications and improve the birth preparedness of pregnant women to reduce infant mortality [50]. In a national study in Zimbabwe, it was indicated that mothers’ health-seeking behaviours, such as giving birth in health facilities, receiving ANC from skilled providers and being assisted by skilled birth attendants during delivery, lowered the risk of child deaths at an early age. The results indicated that a one-unit increase in the quality of prenatal care lowered infant mortality by approximately 31% [51]. Studies conducted in poor resource countries have indicated that the utilisation of maternal healthcare services, such as skilled birth attendance and delivery at healthcare facilities, can reduce maternal and child mortality [52, 53]. A high coverage of healthcare service utilisation could reduce the death of a child: an evidence-based cost-effective intervention showed that a 90% coverage of facility-based care could reduce early child mortality by 23–50% [43]. Another study in West Africa showed that having any prenatal care was associated with lower infant mortality [54].

Maternal healthcare service utilisation may influence infant outcomes in different ways. For example, prenatal care may make a difference in pregnancy outcomes [39, 55]. Inadequate or lack of prenatal care is a risk factor for low birth weight and other poor pregnancy outcomes. Women who have no access to maternal healthcare services are more likely to give birth to a low-weight infant [39, 55]. Access to good health care during pregnancy is essential for a woman’s health and for the development of her unborn child. Additionally, accessing a modern health system during pregnancy increases the chance of using a skilled birth attendant during delivery, and this may contribute to the good health of a child in their first year of life [40, 42]. Women from low-income countries, such as those in SSA and South Asia, are less likely to receive adequate maternal health care; these low-income regions have low numbers of skilled health workers [56]. By contrast, in high-income and middle-income countries, more than 90% of all births are assisted by a trained midwife, doctor or nurse; in several low-income countries, less than half of all births are assisted by such skilled health personnel [56]. In addition to the maternal healthcare utilization, multiple birth babies, history of pregnancy loss and child death was significantly associated with infant mortality. For example, in a study of a health survey of 7001 live births in Bangladesh, infants born to mothers who had multiple birth babies were about six times more likely to die than those born singleton [139]. The possible reason for high risk of death among the multiple births may be due to the economic burden of the family, and this affects the quality of nutrition and health care of children [74, 143].

This study has the following strengths and limitations. The use of a nationally representative dataset that covered all regions in Ethiopia may help to provide nationwide evidence to policymakers. The EDHS data were also well designed. There are, however, also some limitations, such as recall bias, because study participants were asked to remember events up to 5 years before the survey, and most of the data were collected based on self-reports, which may be subject to error. There may be also potential selection bias due to missing of variables from the model.

Conclusions

Despite progress made in maternal healthcare service utilisation in Ethiopia, the country still has unsatisfactory levels of optimum utilisation of maternal healthcare services, such as having the recommended number of ANC visits. From this study, we can conclude that, in Ethiopia, as maternal healthcare service utilisation increases, the probability of infant deaths decreases. If women use optimum maternal healthcare services during pregnancy and delivery, the IMR may reduce in Ethiopia. Essential maternal healthcare service intervention packages in Ethiopia should involve a variety of care that spans pregnancy, childbirth and post-delivery, to improve survival rates of children in their first year of life. Optimising maternal healthcare services in a resource-limited setting like Ethiopia is strongly recommended to reduce infant mortality. The findings from this study may provide important information for identifying priority interventions for maternal and infant survival and for developing policies and programs that can help to achieve the SDGs. It may also have important implications for maternal and child health programs in Ethiopia.

Availability of data and materials

Data will be available upon reasonable request from the corresponding author. The data is available on MEASURE DHS website (www.meauredhs.com).

Abbreviations

CSA:

Central Statistics Agency

EA:

Enumeration Area

EDHS:

Ethiopia Demographic and Health Survey

MDGs:

Millennium Development Goals

PHC:

Ethiopia Population and Housing Census

SDGs:

Sustainable Development Goals

USAID:

United States Agency for International Development

WHO:

World Health Organization

References

  1. Reidpath DD, Allotey P. Infant mortality rate as an indicator of population health. J Epidemiol Community Health. 2003;57(5):344–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Chaya N. Poor access to health services: ways Ethiopia is overcoming it. Res Comment. 2007;2(2):1–6.

    Google Scholar 

  3. Kuruvilla S, et al. The global strategy for women’s, children’s and adolescents’ health (2016–2030): a roadmap based on evidence and country experience. Bull World Health Organ. 2016;94(5):398.

    Article  PubMed  PubMed Central  Google Scholar 

  4. You D, et al. Global, regional, and national levels and trends in under-5 mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN inter-agency Group for Child Mortality Estimation. Lancet. 2015;386(10010):2275–86.

    Article  PubMed  Google Scholar 

  5. Bongaarts J. WHO, UNICEF, UNFPA, World Bank Group, and United Nations population division trends in maternal mortality: 1990 to 2015 Geneva: World Health Organization, 2015. Popul Dev Rev. 2016;42(4):726.

    Article  Google Scholar 

  6. Pablos-Mendez A, Valdivieso V, Flynn-Saldaña K. Ending preventable child and maternal deaths in Latin American and Caribbean countries (LAC). Perinatología y Reproducción Humana. 2013;27(3):145–52.

    Google Scholar 

  7. Liu L, et al. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012;379(9832):2151–61.

    Article  PubMed  Google Scholar 

  8. Kinney M, Lawn J, Kerber K. Science in Action: Saving the lives of Africa's mothers, newborns, and children: African Science Academy Development Initiative; 2009.

  9. Taylor YJ, et al. Associations of household wealth and individual literacy with prenatal care in ten west African countries. Matern Child Health J. 2016;20(11):2402–10.

    Article  PubMed  Google Scholar 

  10. Organization, W.H. WHO recommendations on maternal health: guidelines approved by the WHO guidelines review committee. Geneva: World Health Organization; 2017.

  11. Mehretie Adinew Y, et al. Childhood mortality: trends and determinants in Ethiopia from 1990 to 2015—a systematic review. Adv Public Health. 2017;2017.

  12. Tessema GA, et al. Trends and causes of maternal mortality in Ethiopia during 1990–2013: findings from the global burden of diseases study 2013. BMC Public Health. 2017;17(1):160.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Mekonnen Y, Mekonnen A. Utilization of maternal health care services in Ethiopia: Ethiopian Health and Nutrition Research Institute; 2002.

  14. Tarekegn SM, Lieberman LS, Giedraitis V. Determinants of maternal health service utilization in Ethiopia: analysis of the 2011 Ethiopian demographic and health survey. BMC Pregnancy Childbirth. 2014;14(1):161.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Kassebaum NJ, et al. Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the global burden of disease study 2015. Lancet. 2016;388(10053):1775–812.

    Article  Google Scholar 

  16. CSA, I. Ethiopia demographic and health survey 2016. Addis Ababa, Ethiopia and Calverton, Maryland: Central Statistical Agency and ICF International; 2017. p. 551.

  17. Hogan DR, et al. Monitoring universal health coverage within the sustainable development goals: development and baseline data for an index of essential health services. Lancet Glob Health. 2018;6(2):e152–68.

    Article  PubMed  Google Scholar 

  18. Organization, W.H. Universal health coverage. Geneva: WHO; 2014.

  19. Jain, E., A Review Study On sustainable Development Goals: Un 2030 Agenda.

  20. Misganaw A, et al. National disability-adjusted life years (DALYs) for 257 diseases and injuries in Ethiopia, 1990–2015: findings from the global burden of disease study 2015. Popul Health Metrics. 2017;15(1):28.

    Article  Google Scholar 

  21. Ababa A. Federal democratic republic of Ethiopia ministry of health. Postnatal Care: Ethiopia; 2003.

  22. Eregata GT, et al. Measuring progress towards universal health coverage: national and subnational analysis in Ethiopia. BMJ Glob Health. 2019;4(6).

  23. Organization, W.H. Maternal, newborn, child and adolescent health approved by the WHO guidelines review committee. Handbook for guideline development. Geneva: WHO; 2012.

  24. Adogu P, et al. Utilization of maternal health services in urban and rural communities of Anambra state, Nigeria. Nigerian J Med. 2014;23(1):61–9.

    CAS  Google Scholar 

  25. Say L, et al. Global causes of maternal death: a WHO systematic analysis. Lancet Glob Health. 2014;2(6):e323–33.

    Article  PubMed  Google Scholar 

  26. McCURDY RJ, Kjerulff KH, Zhu J. Prenatal care associated with reduction of neonatal mortality in sub-Saharan Africa: evidence from demographic and health surveys. Acta Obstet Gynecol Scand. 2011;90(7):779–90.

    Article  PubMed  Google Scholar 

  27. Wondemagegn AT, et al. The effect of antenatal care follow-up on neonatal health outcomes: a systematic review and meta-analysis. Public Health Rev. 2018;39(1):33.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Ronsmans C, Graham WJ. Maternal mortality: who, when, where, and why. Lancet. 2006;368(9542):1189–200.

    Article  PubMed  Google Scholar 

  29. Mendes KG, Olinto MTA. Case-control study on infant mortality in southern Brazil. Revista de saude publica. 2006;40(2):240–8.

    Article  PubMed  Google Scholar 

  30. Uddin M. Child mortality in a developing country: a statistical analysis. J Appl Quant Methods. 2009;4(3):270–83.

    Google Scholar 

  31. Zhu B-P, et al. Effect of the interval between pregnancies on perinatal outcomes. N Engl J Med. 1999;340(8):589–94.

    Article  CAS  PubMed  Google Scholar 

  32. Blencowe H, et al. Tetanus toxoid immunization to reduce mortality from neonatal tetanus. Int J Epidemiol. 2010;39(suppl_1):i102–9.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Lucas AO, Stoll BJ, Bale JR. Improving birth outcomes: meeting the challenge in the developing world: National Academies Press; 2003.

  34. Tura G, Fantahun M, Worku A. The effect of health facility delivery on neonatal mortality: systematic review and meta-analysis. BMC Pregnancy Childbirth. 2013;13(1):1–9.

    Article  Google Scholar 

  35. Tiruneh GT, Shiferaw CB, Worku A. Effectiveness and cost-effectiveness of home-based postpartum care on neonatal mortality and exclusive breastfeeding practice in low-and-middle-income countries: a systematic review and meta-analysis. BMC Pregnancy Childbirth. 2019;19(1):507.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Measure D, ICF International. Standard recode manual for DHS 6 (version 1.0); description of the demographic and health surveys individual recode data file. Calverton: MEASURE DHS/ICF International; 2013.

  37. CSA I. Ethiopia demographic and health survey 2016. Addis Ababa, Ethiopia and Calverton: Central Statistical Agency and ICF International; 2017. p. 24.

  38. Adebowale S, Udjo E. Maternal health care services access index and infant survival in Nigeria. Ethiop J Health Sci. 2016;26(2):133–46.

    Article  Google Scholar 

  39. Liu GG. Birth outcomes and the effectiveness of prenatal care. Health Serv Res. 1998;32(6):805.

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Conway KS, Kutinova A. Maternal health: does prenatal care make a difference? Health Econ. 2006;15(5):461–88.

    Article  PubMed  Google Scholar 

  41. Wang W. Levels and trends in the use of maternal health services in developing countries: ICF Macro; 2011.

  42. Noonan K, et al. Effects of prenatal care on child health at age 5. Matern Child Health J. 2013;17(2):189–99.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Fadel SA, et al. Facility delivery, postnatal care and neonatal deaths in India: nationally-representative case-control studies. PLoS One. 2015;10(10):e0140448.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  44. Barros AJ, et al. Equity in maternal, newborn, and child health interventions in countdown to 2015: a retrospective review of survey data from 54 countries. Lancet. 2012;379(9822):1225–33.

    Article  PubMed  Google Scholar 

  45. Asefa M, Drewett R, Tessema F. A birth cohort study in south-West Ethiopia to identify factors associated with infant mortality that are amenable for intervention. Ethiop J Health Dev. 2000;14(2):161–8.

    Article  Google Scholar 

  46. Deribew A, Tessema F, Girma B. Determinants of under-five mortality in Gilgel gibe field research center, Southwest Ethiopia. Ethiop J Health Dev. 2007;21(2):117–24.

    Article  Google Scholar 

  47. Khan WU, Sellen DW. E-library of evidence for nutrition actions (eLENA). Geneva: World Health Organization; 2011.

  48. Lamichhane R, et al. Factors associated with infant mortality in Nepal: a comparative analysis of Nepal demographic and health surveys (NDHS) 2006 and 2011. BMC Public Health. 2017;17(1):53.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Arunda M, Emmelin A, Asamoah BO. Effectiveness of antenatal care services in reducing neonatal mortality in Kenya: analysis of national survey data. Glob Health Action. 2017;10(1):1328796.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Villar J, Bergsjø P. Scientific basis for the content of routine antenatal care I. philosophy, recent studies, and power to eliminate or alleviate adverse maternal outcomes. Acta Obstet Gynecol Scand. 1997;76(1):1–14.

    Article  CAS  PubMed  Google Scholar 

  51. Chadoka-Mutanda N, Odimegwu CO. Maternal health-seeking behaviour and under-five mortality in Zimbabwe. J Biosoc Sci. 2017;49(3):408–21.

    Article  PubMed  Google Scholar 

  52. Filippi V, et al. Maternal health in poor countries: the broader context and a call for action. Lancet. 2006;368(9546):1535–41.

    Article  PubMed  Google Scholar 

  53. De Brouwere V, Tonglet R, Van Lerberghe W. Strategies for reducing maternal mortality in developing countries: what can we learn from the history of the industrialized west? Tropical Med Int Health. 1998;3(10):771–82.

    Article  Google Scholar 

  54. Taylor YJ, et al. Is having any prenatal care associated with lower infant mortality in West Africa? Evidence from the demographic and health surveys. Health Care Women Int. 2019;40(2):196–212.

    Article  PubMed  Google Scholar 

  55. Alexander GR, Kotelchuck M. Assessing the role and effectiveness of prenatal care: history, challenges, and directions for future research. Public Health Rep. 2001;116(4):306.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Organization, W.H., United Nations Children’s Fund. WHO/UNICEF joint database on SDG 3.1. 2 Skilled Attendance at Birth.

  57. FMoH. In: M.a.C.H.D.M.o. Health, editor. national-strategy-for-newborn-and-child-survival-in-ethiopia-201516-201920. Addis Ababa: FMoH; 2015.

    Google Scholar 

  58. Organization, W.H. WHO recommendations on postnatal care of the mother and newborn: World Health Organization; 2014.

  59. Tekelab T, et al. The impact of antenatal care on neonatal mortality in sub-Saharan Africa: a systematic review and meta-analysis. PLoS One. 2019;14(9):e0222566.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Makate M, Makate C. Demand for prenatal care and its impact on neonatal, infant and child mortality in Zimbabwe: evidence from the demographic and health surveys; 2016.

    Google Scholar 

Download references

Acknowledgments

First of all, we would like to acknowledge for the study participants for their kind participation. Second, we would like to thank the DHS Program for allowing us to use the EDHS data for this study. We would like to thank to the University Of Newcastle, Australia for providing a free access to the digital online library to search the electronic databases.

Funding

This study has no significant financial support.

Author information

Authors and Affiliations

  1. Department of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia

    Girmay Tsegay Kiross

  2. Research Centre for Generational Health and Ageing, Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, Australia

    Girmay Tsegay Kiross, Catherine Chojenta & Deborah Loxton

  3. School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, Australia

    Daniel Barker

Authors
  1. Girmay Tsegay Kiross
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Catherine Chojenta
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Daniel Barker
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Deborah Loxton
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

GK: conceived the study, carried out the statistical analysis, and draft the manuscript. CC: Writing, review & editing the manuscript. DB: statistical analysis, writing, review. DL: Writing, review & editing the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Girmay Tsegay Kiross.

Ethics declarations

Ethics approval and consent to participate

The EDHS sought informed consent and was approved by the study subjects during data collection. The confidentiality of the respondents was also assured by the EDHS. Approval was obtained from the Human Research Ethics Committee of the University of Newcastle [Reference No: H-2018-0386]. A letter of approval was also obtained from MEASURE EDHS to use the dataset. The information obtained from the dataset was not disclosed to any third persons.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kiross, G.T., Chojenta, C., Barker, D. et al. Optimum maternal healthcare service utilization and infant mortality in Ethiopia. BMC Pregnancy Childbirth 21, 390 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s12884-021-03860-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12884-021-03860-z

Keywords

BMC Pregnancy and Childbirth

ISSN: 1471-2393

Contact us