Maternal health is a major concern in Africa especially due to high level of maternal mortality in the region. A significant cause of high mortality is the unavailability of health facilities and preference for home-based delivery often carried out by unskilled health attendants. Reports reveal that 69% of young women in Nigeria opt for home-based delivery in Nigeria and some of these mothers lose their lives as a result of childbirth complications that are not properly attended to. This trend calls for urgent concern in the nation’s health system. Against this backdrop, this study examined the determinants of non-institutional delivery among women of reproductive age in Nigeria using the country’s National Demographic Health Survey [NDHS] (2018. Demographic health survey data. NPC and ICF, Abuja, Nigeria and Rockville. MD, USA) The data for this study include 12,567 of women of childbearing-age contained in the NDHS data. To analyse the data, the multilevel binary logistic regression was used to examine the determinants of non-institutional delivery among the women of childbearing-age. The results were presented using adjusted odds ratios (AOR) with 95% confidence interval. The result revealed that 56.8% of women preferred to have their children outside health institutions. The findings further revealed that educated women including urban dwellers, women with some level of formal education, high exposure to news media, high level of income and women with significant level of autonomy were less likely to deliver their babies outside health institutions. Based on the findings of the study, that there is the need to expand educational opportunities for Nigerian women, enhance and strengthen advocacy, and utilise focused group discussions, family outreach programmes and peer education to educate mothers on the benefits of using healthcare facilities during childbirth.
Maternal mortality remains one of the sources of public health challenges, particularly in resource-constrained economies (Aregbesola and Khan, 2019; Azuh et al., 2020; Ekholuenetale et al., 2020; Feng et al., 2021; Gershon et al., 2020; Jakovljevic et al., 2021; Ntoimo et al., 2020). Estimates showed that in 2015, over 300,000 women died from pregnancy-related complications globally, and 201,000 of these deaths representing 66% of global maternal deaths occurred among women in sub-Saharan Africa (SSA) (Ekholuenetale et al., 2020). To address the issues of childbirth mortality, child delivery at healthcare institutions also known as health facility delivery has been embraced as an essential mechanism to achieve a significant decline in the proportion of maternal demise (Ahinkorah, 2020; Solanke, 2021).
Irrespective of the World bank and other stakeholders’ efforts to scale down maternal mortality by providing access to modern maternal care services, evidence shows that many women in sub-Sahara Africa still face challenges in accessing modern maternal care (Seidu et al., 2020; Ahuru and Iseghohi, 2019). Indeed, home delivery poses a significant risk to mothers and their new-born babies (Sialubanje et al., 2015). Some of the cause associated with this include: poor breastfeeding practices, the poor practice of immunisation, poor knowledge and practice of postnatal care services.
Nigeria remains one of the nations in Africa with a high level of maternal death. Recent evidence puts its maternal mortality rates (MMR) at 906 out of every 100,000 births, accounting for 19% of the global maternal mortality burden (Ahinkorah et al., 2021). The high MMR in Nigeria has been attributed to the popular practices of childbirth outside health institutions. Insights from the NDHS proves that about 61% of births among women of childbearing age took place at home, and skilled birth attendants did not supervise 60% of these deliveries.
In Nigeria, there are many studies on determinants of health facility delivery. However, literature regarding the causes of non-institutional delivery in Nigeria remain scant, specifically, the available studies (see Aregbesola and Khan, 2019; Solanke, 2021), fails to incorporate community contextual factors in investigating the determinants of maternal mortality. This study explores the determinants of non-institutional delivery among Nigerian women of reproductive age. The focus on women within this age is crucial as the findings could help to reduce cases of non-institutional delivery. This will go a long way to reduce the high maternal mortality in Nigeria and help achieve the Sustainable Development Goals of reducing maternal mortality to less than 70 per 100,000 live births by 2030.
Data and sample
The data for this study includes a cross-sectional data from the National Demographic Health Survey [NDHS] (2018) available online on the website https://dhsprogramm.com/data/. The data extracted from the NDHS focuses exclusively on women of their reproductive age. From the entire population of the NDHS data, this study extracted a sample comprising about 12,567 individuals of reproductive age (between 15 and 49 years) who had given birth in the past five years prior to the NDHS survey.
Variables and measurement
The endogenous variable in the study is non-institutional delivery (coded 1 for deliveries outside health institutions and 0 for deliveries in health institutions). Births that occurred out in government own healthcare facilities or personal owned clinics are regarded as health facility delivery (Aregbesola and Khan, 2019; Solanke, 2021).
For the analysis in this study the individual level factors include the following parameters:
Maternal age: 15–19, 20–24, 25–29, 30–34, 35–39, 40–44, 45–49.
Religion: Catholic Christian, other Christians, Islam and African Traditional Religion/others.
Maternal education: relating to the level of education of the women-non-formal, primary, secondary and post-secondary education educations are highlighted.
Level of education of the spouse.
Access to health insurance coverage.
Time of initiation of antenatal care: early booking vs late booking.
Access to of media by the women (1 = yes, and 0 = no). That is, if the women have access to any of the print/electronic media: television/radio/newspaper/magazine.
The parameter relating to a woman’s autonomy was generated from a question as to whether the respondent took part in making her own healthcare decision. The following response options were provided: ‘respondent alone’, ‘husband/partner alone’, ‘respondent and partner/husband’ and others. Respondents were considered autonomous if their responses were any one of ‘respondent alone’ or ‘respondent and husband/partner’, and non-autonomous otherwise.
The factors investigated include: the gender of the head of household size of the household (measured as the total persons living in the household). We considered the following groups: 1–4, 5–7 and ≥8 persons. Furthermore, the household wealth index was measured in terms of household assets using principal component analysis (PCA). The households were classified into the following groups: poorest, poorer, average, wealthier and wealthiest.
To capture these level factors affecting women of childbearing-age, the study applied the enumeration areas (EAs) to capture the localities. This is based on the fact that the data collected by the NDHS was not aggregated at the community level. Therefore, variables at the community level in this study were reported based on the characteristics of the women, especially concerning those associated with non-institutional delivery (Feng et al., 2021).
The community-level factors include
The location of the household heads (whether rural or urban area).
Cultural norms about wife-beating within the community (whether up to 50% of the women in the community justified domestic violence against women for any of the reasons).
if the woman abandons her children, she quarrels with her spouse, or deprives her spouse of his conjugal rights.
The dissemination of the women who are not educated in the locality (whether 50% of the ladies ever went to school).
The awareness of poverty in the locality, and.
The prevalence of non-facility-based delivery was presented in percentages while chi-square test was used to examine the association between sociodemographic factors and non-facility delivery. Only the logit model accommodates only significant variables at the 10% level (see Table 1). In addition, the study deployed a multilevel binary logistic regression in examining the fixed and random effects considering the objectives of study. We further modelled a three-way model of binary responses based on the objective.
These include level 1 (individual-level factors), level 2 (household level factors) and level 3 (community-level factors). Overall, we estimated five models. The first is an empty or null model without explanatory variables (random intercept). The second model controlled only for individual-level factors. The third model controlled for household level factors. The fourth model controlled for community-level factors, and finally, model five simultaneously controlled for individual, household and community-level factors. We presented the adjusted odds ratio and 95% confidence intervals (see Table 2). These models were fitted with the Stata command to identify statistically significant variables in explaining non-facility delivery (Ahuru and Iseghohi, 2019).
The result obtained for the proportion of non-usage of health facility delivery by the characteristics of the women within the reproductive age is shown in Table 1. From the analysis, 58.6% of childbearing mothers in Nigeria delivered their babies outside of health institutions. The result showed that 64.3% of Islamic women, including 85.8% of mothers who had non-formal education, and 50% of mothers whose partners had non-formal education delivered their babies outside health institutions. Home delivery was noted to be high among respondents that were not enroled in the health insurance scheme, unemployed mothers, and those who booked antenatal care at a later stage. In addition, a significant number of mothers in polygamous marriages, comprising women without any form of formal education, those who had no media exposure, women with no autonomy in decision making, those from the poorest wealth quintiles, those whose family size were ≥8 and mothers residing in rural parts of the country had a high prevalence of using home-based delivery. Also, home delivery was high among mothers drawn from communities with high cultural prevalence for domestic violence, low access to media, high level of poverty, and restricted autonomy for women in decision making process.
The measure of Variation (random-effects model)
With the result of the random effect, the entire model (Model 5) (see Table 2), which controls for individual, household and community-level factors, had the lowest Akaike Information Criterion (987) with Bayesian Information Criterion of −3456, hence, considered as the best fit suitable for predicting health facility delivery among the women (Ekholuenetale et al., 2020).
The measure of Association (fixed effect models)
Table 2 presents the fixed effect results on determinants of non-institutional delivery. The fixed effect result showed that the significant predictors of non-institutional delivery were maternal education, partner education, household wealth quintile, residential status, community-level poverty, community-level media use and community-level woman’s autonomy.
In reference to respondents who had non-formal educational qualifications, those who reported primary educational qualifications (AOR = 0.34; 95% CI: 0.0–1.2), secondary educational qualifications (AOR = 0.34; 95% CI: 0.0–0.0) and post-secondary educational qualifications (AOR = 0.45; 95% CI: 0.0–0.5) were significantly less likely to deliver their babies outside health institutions. In reference to mothers whose partners have non-formal education, those whose partners had primary education (AOR = 0.12; 95% CI: 0.0–0.5); secondary education (AOR = 0.34; 95% CI: 0.0–0.0), and post-secondary education (AOR = 0.21; 95% CI: 0.0–0.9) were significantly less likely to deliver their babies outside health institutions. In reference to respondents who had media exposure, those who had no media exposure (AOR = 2.89; 95% CI: 0.0–0.5) were significantly more likely to deliver outside health institutions.
Household and community contextual factors
From the study, women who belonged to the wealthiest quintiles (AOR = 0.48; 95% CI: 0.0–0.0) were significantly less likely to deliver their babies outside health institutions.
The data from the geographical location of the women, i.e. rural vs. urban dwellers revealed that rural women (AOR = 2.75; 95% CI: 0.0–0.9) were approximately three times more likely to deliver their babies outside health institutions. In addition, women drawn from communities with high poverty rankings (AOR = 2.21 95% CI; 0.0–0.0) were significantly more likely to deliver their babies in health institutions compared to mothers drawn from communities with low poverty rankings. About the respondents drawn from communities with low media use, those with high media use (AOR = 0.98; 95% CI: 0.0–0.0) were less likely to deliver their babies outside health facilities. Regarding respondents drawn from communities with low women’s autonomy, those with high women’s autonomy (AOR = 0.35; 95% CI: 0.0–0.0) were less likely to deliver their babies outside health facilities.
Discussion of the results
The finding of this study regarding the preference for home-based delivery is consistent with previous findings from other countries showed 41.9% preference for home delivery for Nepalese women (Dhakal et al. 2018); 21.6% for Tanzanian women (Lilungulu et al., 2016); 28.5% for Cambodian women (Bwalya et al., 2017) and 23% for Ghanaian women (Gudu and Addo, 2017). The high rate of non-institutional delivery recorded in this study has implications for maternal and childcare utilisation in Nigeria. the first, the percentage of women who give birth at health institutions in Nigeria is low thereby, increasing the risk of maternal and child mortality in Nigeria. it is therefore, recommended that an intervention programme to improve coverage of health facility delivery in Nigeria be implemented to scale down maternal mortality to <70 per 100,000 live births, which is the SDG’s 3.1 target for 2030 (Yaya and Sanogo, 2020).
The result further reveals that low level of education, poor socioeconomic conditions and rural dwellings were linked to a higher likelihood of non-institutional delivery. Previous studies have reported that lower poor socioeconomic status (Gentle et al., 2019; Yaya et al., 2019), the lack of good education (Abebe et al., 2012), and rural dwelling (Gentle et al., 2019) were determinants of non-institutional delivery. In many previous studies, the common reasons for progressive birth at home were mainly financial and regional constraints affecting the ability to access standard health services (Fagbamigbe and Idemudia, 2015).
Other studies report that uneducated women from poor homes residing in rural and remote areas lack sufficient information about the dangers related to the delivery that takes place outside health centres, and as such, they do not find the need to deliver their babies in health institutions (Kifle et al., 2018). The result of the association between the health facility and household socioeconomic conditions suggests that improving coverage of health facility delivery depends on household socioeconomic conditions. This can be achieved through collaboration between government and non-governmental organisations. The government should consider expanding education opportunities for women and enhancing vocational skill training among women.
In this study, respondents who were not exposed to media (watching television, listening to the radio, and reading newspaper) were more likely to deliver their babies outside health institutions. Other studies have traced links between media exposure to choosing a place of delivery, with mothers who had no media exposure reporting a high likelihood of delivering their babies outside health institutions (Kifle et al., 2018; Solanke, 2021; Zamawe et al., 2016). The reason for the high rate of home deliveries among women not exposed to media is because media exposure provides awareness and increases the knowledge of pregnancy-related complications (Kifle et al., 2018 Zamawe et al., 2016). It also instils changes in women’s behaviours, attitudes, social norms that may enhance access to the health facility during delivery times. There is, therefore, the need to enhance women’s access to media. Community-based health information systems can be deployed in Nigeria as a platform to communicate behavioural health changes to women. Also, efforts should be made to ensure that women obtain the needed information they desire from the media.
We noted that respondents residing in rural parts of the country were more likely to deliver their babies outside health institutions when compared to those residing in urban parts. This finding is in line with the results of past studies for Nigeria (Dankwah et al. 2019). This disparity in health behaviour is a result of the differences in socioeconomic development, educational attainments, accessibility to health facilities (Erinosho, 1998). Another reason is inequalities in the distribution of health resources between rural and urban parts of Nigeria (Ahuru and Iseghohi, 2019). In Nigeria, health facilities and personnel are disproportionately located in urban areas. Also, rural areas are not adequately financed, making it impossible to attract and retain competent health personnel (Ekholueneta et al., 2020). In addition, rural women may be more influenced by cultural beliefs and social norms that encourage home deliveries. We noted that along with individual/household factors, community factors play a significant role in influencing the choice of home delivery among Nigerian women. This confirms the propositions made by previous studies (Mekonnen et al., 2019; Yebyo et al., 2015) and reiterates the importance of community factors concerning home delivery.
Similar to other studies (Ahuru and Iseghohi, 2019; Azuh et al., 2020, Feng et al., 2021; Gershon et al., 2020; Jakovljevic et al., 2021; Mekonne et al., 2016; Yadav and Kesarwani, 2016), we found that respondents located in communities with high poverty rankings are more likely to deliver their babies at home owing to the reality that home delivery may be the norm in communities with high concentrations of poverty. This may influence the whole women in the community to deliver their babies outside health institutions. Also, in communities with high concentration of poverty, there might be unavailability of health or absence of infrastructures in most cases that might prompt women to deliver at home.
Access to media outlets such as television and newspapers in the community also plays an influential role in deterring the preference for home delivery. Studies have reported the effectiveness of media concentration in communities in discouraging home delivery (Solanke, 2021; Sui et al., 2021). Increased media exposure increases discussion of maternal health issues within the community. This result conforms with the findings of the studies conducted in Nigeria (Azuh et al., 2020; Gershon et al., 2020; Solanke, 2021; Sui et al., 2021) and Bangladesh (Huda et al., 2019), which reported that women residing in communities with a high proportion of exposure to electronic and print media are less likely to deliver their babies outside health institutions.
This study has identified low socioeconomic status, poor educational attainment, low exposure to media, urban dweller, residing in communities with high poverty rankings, low media use and low woman’s autonomy as predictors of home deliveries among reproductive-age women in Nigeria. Enhancing health facility delivery among women is a necessary agenda for Nigeria to achieve the SGDs 3.1, which aims at scaling down maternal mortality to <70 deaths per 100,000 live births in 2030. The findings call for the need to strengthen advocacy and educational strategies like focused group discussions, peer teachings, mentor-mentee programmes at both national and community levels to enhance facility delivery in Nigeria. Also, there is the need to improve policies relating to maternal care utilisation by reducing costs associated with delivery in health facilities and setting up more health facilities in communities. We recommend that further studies use qualitative research methods to yield more profound insights into the factors associated with home delivery among Nigerian women.
The complete data set is hosted on https://dhsprogramm.com/data/.
Abebe F, Berhane Y, Gulma B (2012) Factors associated with home delivery in Bahirdar, Ethiopia: a case-control study. BMC Res Notes 5(1):653
Ahinkorah BO, Ameyaw EK, Seidu A, Odusina EK, Keetie M, Yaya S (2021) Examining barriers to healthcare access and utilization of antenatal care services: evidence from demographic and health survey in sub-Saharan Africa. BMC Health Serv Res 21:125. https://doi.org/10.1186/s12913-021-06129-5
Ahinkorah BO (2020) Non-utilization of health facility delivery and its correlates among childbearing women: a cross-sectional analysis of the 2018 Guinea demographic and health survey data. BMC Health Serv Res 20:1016. https://doi.org/10.1186/s12913-020-05893-0
Ahuru RR, Iseghohi OJ (2019) Predictors of antenatal care utilization in primary healthcare centers in eight rural communities in Delta State, Nigeria. African. J Health Econ 8(1):1–22
Aregbesola BS, Khan SM (2019) Factors associated with non-utilization of maternal and child health services in Nigeria: the 2013 Nigerian demographic and health survey results. J Public Health 27:357–365
Azuh DE, Osabohien R, Orbih M, Godwin A (2020) Public health expenditure and under-five mortality in Nigeria: an overview for policy intervention Open Access Macedonian. J Med Sci 8:353–362
Bwalya BB, Mulenga MC, Mulenga JN (2017) Factors associated with postnatal care for newborns in Zambia: analysis of the 2013–14 Zambia demographic and health survey. BMC Pregnancy Childbirth 17(1):1–13. https://doi.org/10.1186/s12884-017-1612-1
Dankwah E, Zang WU, Feng C, Kiochuk S, Fareq M (2019) The social determinants of health facility delivery in Ghana. Reprod Health 16:101. https://doi.org/10.1186/s12978-019-0753-2
Demographic and Health Survey (2019) Demographic and health survey. NPC and ICF, Abuja, Nigeria and Rockville, MD, USA
Dhakal P, Shrestha M, Baral DH, Pathak S (2018) Factors affecting the place of delivery among mothers residing in Jhorahat VDC, Morang, Nepal. Int J Community-based Nurs Midwifery 6(1):2–11. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5747568/
Ekholuenetale M, Benebo FO, Idebolo AF (2020) Individual, household and community-level factors associated with eight or more antenatal care contacts in Nigeria: demographic and Health Survey evidence. PLoS ONE 15(9):e0239855
Erinosho TO (1998) Health Sociology for Universities, colleges and related institutions. Sam Bookman, Ibadan
Feng Y, Ahuru RR, Anser MK, Osabohien R, Ahmad M, Efegbere AH (2021) Household economic wealth management and antenatal care utilization among businesswomen in the reproductive age. Afr J Reprod Health 25(6):143–154. https://doi.org/10.29063/ajrh2021/v25i6.15
Gentle JK, Mahama MS, Maya E, Manu A, Torpey K, Adamu R (2019) Understanding factors influencing home delivery in user-fee abolition in northern Ghana: evidence from 2014 DHS. Int J Health Plan Manag 34(2):727–43
Gershon O, Akhigbemidu A, Osabohien R (2020) Domestic resource mobilization and under-five mortality in Nigeria. Res World Econ 11(3):320–332
Gudu W, Addo B (2017) Factors associated with utilization of skilled service delivery among women in rural Northern Ghana: a cross-sectional study. BMC Pregnancy and Childbirth 17(1):110. https://doi.org/10.1186/s12884-017-1344-2
Fagbamigbe AF, Idemudia ES (2015) Barriers to antenatal care use in Nigeria: evidence from non-users and implications for maternal health programming. BMC Pregnancy childbirth 15:95
Huda TM, Chowdhury M, El Ariteen S, Dibley MJ (2019) Individual and community-level factors associated with health facility delivery: a cross-sectional multilevel analysis in Bangladesh. PLoS ONE 14(2):1–13
Jakovljevic M, Liu Y, Cerda A, Simonyan M, Correia T, Mariita RM, Varjacic M (2021) The Global South political economy of health financing and spending landscape—history and presence. J Med Econ 24(Suppl. 1):25–33
Kifle MM, Kesete HF, Gaim HT, Angosom GS, Araya MB (2018) A health facility or home delivery? Factors influencing the choice of delivery place among mothers living in rural communities of Eritrea. J Health Popul Nutr 37(1):22
Lilungulu AG, Matovelo D, Gesase A (2016) Reported knowledge, attitude and practice of antenatal care services among women in Dodoma Municipal, Tanzania. J Pediatr Neonatal Care 4(1):1–8. https://doi.org/10.15406/jpnc.2016.04.00125
Mekonnen AB, McLachlan AJ, Jo-anne EB (2016) Effectiveness of pharmacist-led medication reconciliation programmes on clinical outcomes at hospital transitions: a systematic review and meta-analysis. BMJ open 6:e010003
Mekonnen T, Dune T, Perz J (2019) Maternal health service utilization of adolescent women in sub Saharan Africa: a systematic scoping review. BMC Pregnancy Childbirth 19:366. https://doi.org/10.1186/s12884-019-2501
Ntoimo LFC, Okonofua FE, Yaya S, Monaghan W, Omorodion B, Ogungbangbe J (2020) Assessment of the quality of antenatal care and postnatal care services in primary healthcare centres in rural Nigeria. Niger J Sociol Anthropol 18(2):1–18
Seidu A, Darth EKM, Agbaglo E, Dadzie BO, Ameyaw EK, Tetteh JK, Baatiema L, Yaya S (2020) Barriers to accessing healthcare among women in Ghana: multilevel modelling. BMC Public Health 20:1916. https://doi.org/10.1186/s12889-020-10017-8
Sialubanje C, Massar K, Hamer DH, Ruiter RA (2015) Reasons for home delivery and use of traditional birth attendants in rural Zambia: a quantitative study. BMC Pregnancy Childbirth 15:216
Solanke BL (2021) Do the determinants of institutional delivery among childbearing women differ by health insurance enrolment? Findings from a population-based study in Nigeria. Int J Health Plan Manag https://doi.org/10.1002/hpm.3112
Sui Y, Ahuru RR, Huang K, Anser MK, Osabohien R (2021) Household socioeconomic status and antenatal care utilization among women in the reproductive age. Front Public Health 9:724337. https://doi.org/10.3389/fpubh.2021.724337
Yadav A, Kesarwani R (2016) Effect of individual and community factors on maternal health care service use in India: a multilevel approach. J Biol Soc Sci 48(1):1–19. https://doi.org/10.1017/S002193201500000
Yaya S, Bishwajit G, Gunawardena N (2019) Socioeconomic factors associated with the choice of delivery place among mothers: a population-based cross-sectional study in Guinea-Bissau. BMJ Glob Health 4(2):e001341. 24
Yaya S, Sanogo NA (2020) Wealth status, health insurance, and maternal healthcare utilization in Africa: evidence from Gabon. Biomed Res Int https://doi.org/10.1155/2020/4036830
Yebyo H, Alemayehu M, Kahsay A (2015) Why do women deliver at home? Multilevel modelling of Ethiopian National Demographic and Health Survey data. PLoS ONE 10(4):e0124718
Zamawe COT, Banda M, Dube AN (2016) The impact of a community-driven mass media campaign on the utilization of maternal healthcare services in rural Malawi. BMC Pregnancy Childbirth 16(1):21
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Not required for this study. This is because this article does not contain any studies with human participants performed by any authors.
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Xu, Y., Peng, M.YP., Ahuru, R.R. et al. Individual and community-level factors associated with non-institutional delivery of women of childbearing-age in Nigeria. Humanit Soc Sci Commun 9, 197 (2022). https://doi.org/10.1057/s41599-022-01168-7