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Women’s enlightenment and early antenatal care initiation are determining factors for the use of eight or more antenatal visits in Benin: further analysis of the Demographic and Health Survey



Within the continuum of reproductive health care, antenatal care (ANC) provides a platform for vital health care functions, such as disease prevention, health promotion, screening, and diagnosis. It has been widely confirmed that by implementing appropriate evidence-based practices, ANC can save lives. Previous studies investigated the utilization of ANC based on the four visits model. The new guidelines set by the World Health Organization 2016 recommended increasing contacts with health providers from four to eight contacts. The present study aims to determine the frequency, determinants, and socioeconomic inequalities of ANC utilization based on the eight or more contacts in Benin. This will provide information for policy makers to improve ANC utilization.


We used a population-based cross-sectional data from Benin Demographic and Health Survey (BDHS)—2017–2018. The outcome variable considered for this study was coverage of ≥ 8 ANC contacts. About 1094 women of reproductive age who became pregnant after the new guideline of ≥ 8 ANC contacts was endorsed were included in this study. The determinants for ≥ 8 ANC contacts were measured using multivariable logistic regression. Concentration (Conc.) Index and Lorenz curves were used to estimate the socioeconomic inequalities of ≥ 8 ANC contacts. The level of significance was set at P < 0.05.


The coverage of ≥ 8 ANC contacts was 8.0%; 95%CI 6.5%, 9.7%. The results of timing of antenatal care initiation showed that women who had late booking (after 1st trimester) had 97% reduction in ≥ 8 ANC contacts compared with women who initiated ANC contacts within the first trimester (adjusted odds ratio (AOR) = 0.03; 95% CI 0.00, 0.21). In addition, women with medium or high enlightenment were 4.55 and 5.49 as more likely to have ≥ 8 ANC contacts, compared with women having low enlightenment (AOR = 4.55; 95% CI 1.41, 14.69 and AOR = 5.49; 95% CI 1.77, 17.00, respectively). Conc. Index for the household wealth-related factor was 0.33; p < 0.001 for urban women and 0.37; p < 0.001 for the total sample. Similarly, Conc. Index for maternal education was 0.18; p = 0.006 for urban women and 0.21; p < 0.001 for the total sample.


Secondary analysis of the BDHS showed low coverage of ≥ 8 ANC contacts in Benin. In addition, women’s enlightenment, early ANC initiation, and socioeconomic inequalities determined the coverage of ≥ 8 ANC contacts. The findings bring to limelight the need to enhance women’s enlightenment through formal education, exposure to mass media, and other channels of behavior change communication. Health care programs which encourage early antenatal care initiation should be designed or strengthened to enhance the coverage of ANC contacts in Benin.


Globally, pregnancy-related complications contribute to over 50% of deaths among women yearly. According to the World Health Organization (WHO), approximately 90–95% of these mortalities come from resource-poor countries [1]. In 2016, it was reported that the proportion of maternal mortality ratio between resource-constrained settings and developed world was 239 and 12 per 100,000 live births respectively [2]. The staggering reports of maternal deaths in resource-constrained settings have drawn global attention for urgent intervention, as most of the deaths could be prevented through skilled birth attendance and increased ANC contacts. Increased ANC contacts are recommended to reduce maternal deaths by up to 8 per 1000 live births [3]. It can facilitate the uptake of preventive measures, timely detection of danger signs, reduction in complications, and address health care inequalities including those in remote and marginalized settings [4].

In light of the above, WHO in 2016 unveiled a new antenatal care model by increasing contacts with health providers throughout the pregnancy period from four to eight contacts [3]. The guideline is targeted to respond to the complex nature of the challenges surrounding the practice and delivery of ANC within the health systems, and to prioritize woman-centered care and well-being and not to prevent deaths and complications only. Evidence showed that a higher frequency of ANC contacts with the health care providers could lead to a significant reduction in adverse health conditions [3, 4]. The increased opportunities to detect and manage potential problems could enhance services such as counseling on healthy diet, optimal nutrition, blood tests, uptake of intermittent preventive treatment in pregnancy, and tetanus vaccination [3].

Evidence-based data has pointed that the focused antenatal care (FANC) model developed in the 1990s was linked with persistent perinatal and maternal deaths [5]. Meanwhile, an analysis of the WHO ANC trial showed that persistence in perinatal mortality was more likely to be due to increased stillbirths [6]. The contacts during the third trimester are at critical time points that may allow assessment of well-being and interventions to reduce stillbirths. Moreover, evidence suggests that an increase in the number of ANC contacts seems to be associated with an increase in maternal satisfaction and well-being compared with fewer ANC contacts [7].

Numerous factors influence the uptake of optimal ANC contacts. Empirical studies have shown that maternal age [4], educational level [8], planned pregnancies [9], and timing of first ANC visit [10] are factors associated with adequate ANC visits. In addition, exposure to mass media, family income, and accessibility of the obstetric service are also associated with increased utilization of antenatal care [9, 11, 12].

Benin, like several sub-Saharan Africa (SSA) countries, has an unfair share of adverse maternal health outcomes, including pregnancy-related complications and deaths. Worst still, the majority of maternal health indicators such as ANC visits, institutional delivery, post-natal care, and contraceptive use have not improved beyond several SSA countries [13]. However, no study so far could be traced that examined the coverage and factors associated with the new WHO ANC guideline of minimum 8 ANC contacts in Benin. This study is conducted to explore the coverage, determinants, and the socioeconomic inequalities of ANC utilization based on the eight or more ANC contacts in Benin.

Materials and methods

Data source

We utilized a population-based cross-sectional data from Benin Demographic and Health surveys (BDHS). BDHS 2017-18 is the fifth of its kind. About 1094 women of reproductive age who became pregnant after the new guideline of ≥ 8 ANC contacts was endorsed were included in this study. The data is available in the public domain and accessed at

Study design

BDHS used a stratified multi-stage cluster random sampling technique, and data was collected on vital reproductive health issues via structured interviewer-administered questionnaires. BDHS used nationally representative data to collect information on demographic, health, and nutrition indicators. The survey is funded by the United States Agency for International Development (USAID). BDHS 2017-18 utilized households as the sampling unit. Within each sample household, all eligible women were interviewed. Details of DHS data collection procedure have been reported previously [14].

Study settings

Benin has twelve geographical regions: Alibori, Atacora, Atlantique, Borgou, Collines, Couffo, Donga, Littoral, Mono, Quémé, Plateau, and Zou. The country spans from north to south and a long stretched country in West Africa, located west of Nigeria and east of Togo. It is bordered to the north by Niger and Burkina Faso, in south by the Bight of Benin, in the Gulf of Guinea, that part of the tropical North Atlantic Ocean which is roughly south of West Africa. Benin’s former name, until 1975, was Dahomey. Benin has a population of 11.48 million people (in 2018) [15], and Porto-Novo, a port on an inlet of the Gulf of Guinea, is the nation’s capital city. The largest city and economic capital is Cotonou. Spoken languages are French (official), Fon, and Yoruba [16].

Selection criteria

We included women who became pregnant after the guideline of ≥ 8 ANC contacts has been endorsed by WHO [3]. In the guideline, ANC models with a minimum of eight contacts are recommended to reduce perinatal mortality and improve women’s experience of care. The 2016 WHO ANC model replaced the previous four-visit FANC model. Accordingly, any woman who could not recall the approximate number of ANC contacts was excluded from the study.

Outcome variable

ANC was measured dichotomously: < 8 ANC contacts vs. ≥ 8 ANC contacts. The WHO ANC guideline recommendations mapped to the eight recommended contacts and present a summary framework for the 2016 WHO ANC model in support of a positive pregnancy experience [3, 17, 18].

Explanatory variables

Household wealth quintile: principal component analysis (PCA) was used to assign the wealth indicator weights. This procedure assigned scores and standardized the wealth indicator variables such as bicycle, motorcycle/scooter, car/truck, main floor material, main wall material, main roof material, sanitation facilities, water source, radio, television, electricity, refrigerator, cooking fuel, furniture, and number of persons per room. The factor coefficient scores (factor loadings) and z-scores were calculated. For each household, the indicator values were multiplied by the loadings and summed to produce the household’s wealth index value. The standardized z-score was used to disentangle the overall assigned scores to poorest/poorer/middle/richer/richest categories [19, 20]. Furthermore, neighborhood socioeconomic disadvantaged level used items such as rural residence, poorest household wealth level, no formal education, and not working. Using PCA, the standardized z-score was used to disentangle the overall assigned scores to low, medium, and high.

Women’s enlightenment was measured from a list of data elements (education, read newspaper/magazines, listen to radio, and watch television), and decision-making power was measured from a list of data elements (respondent involvement in the decision on how to spend her earnings, decision on her health care, decision on large household purchases, decision on visits to family or relatives, decision on what to do with money husband/partner earns). Using PCA, the factors were distilled into a more generalized set of weights that score “women’s enlightenment” and “decision making power” between 0 and 100. The standardized z-scores were used to disentangle the overall assigned scores to low, medium, and high.

In addition, the following factors were examined: maternal age 15–19/20–24/25–29/30–34/35–39/40–44/45–49; age at first marriage (years): < 18/18–24/>24; family type: monogyny/polygyny; timing to ANC contact initiation: early booking (within 1st trimester)/late booking (after 1st trimester); number of children ever born: 1–3/> 3; birth order: 1st/2nd/3rd/4th/> 4th; preceding birth interval: first birth/< 24 months/24–36 months/> 36 months; religion: Christianity/Islam/Traditional and others; sex of household head: male/female; ever had a terminated pregnancy: yes/no; health insurance coverage: not covered/covered; marital status: not married/currently married or living with a partner/formerly married; wanted pregnancy when became pregnant: then/later/no more; maternal education: no formal education/primary/secondary/tertiary; and place of residence: urban/rural. These factors were included based on previous studies which examined the factors associated with maternal health care services [13, 21].

Ethical consideration

This study was based on an analysis of population-based dataset available in public domain/online with all identifier information removed. The authors communicated with MEASURE DHS/ICF International, and permission was granted to download and use the data. The DHS project obtained the required ethical approvals from the relevant research ethics committee in Benin, West Africa, before the survey was conducted to ensure that the protocols are in compliance with the U.S. Department of Health and Human Services regulations for the protection of human subjects. Written informed consents were obtained from participants before being recruited in the surveys.

Statistical analysis

Women’s characteristics were presented using percentages. The collinearity testing approach adopted the correlation method to estimate interdependence between variables. A cutoff of 0.7 was used to examine the multicollinearity known to cause major concerns [22]. Birth interval was retained in the logistic model as it was found to have strong association with birth order. Other significant variables from the bivariate analysis were retained in the model due to lack of multicollinearity. The Survey (“svy”) module was used to adjust for stratification, clustering, and sampling weights to compute the estimates of 8 ANC contacts across the study variables. Chi-square test was used to examine the association between 8 ANC contacts and the explanatory variables. All significant variables from the bivariate analysis were included in the multivariable logistic regression model to calculate the adjusted odds ratios (with corresponding 95% CI). Based on the estimation of multivariable logistic regression model, we predicted the probability of 8 ANC contacts. Thus, \( \Pr \left(Y=1|\mathrm{Set}\left[\mathrm{E}=\mathrm{e}\right]\right)=\sum \limits_z{\hat{p}}_{ez}\Pr \left(Z=z\right) \) where Set[E = e] reflects putting all observations to a single exposure level e, and Z = z refers to a given set of observed values for the covariate vector Z. Furthermore, \( {\hat{p}}_{ez} \) is the predicted probabilities of 8 ANC contacts for any E = e and Z = z. The marginal effects indicate a weighted average over the distribution of the covariates and are equal to estimates got by standardizing to the entire population. As a post-logistic regression test, the exposure E is set to the level e for all women in the dataset, and the logistic regression coefficients are used to compute predicted probabilities for every woman at their observed covariate pattern and newly exposure value. Because predicted probabilities are computed under the same distribution of Z, there is no covariate of the corresponding effect measure estimates [23].

Furthermore, Lorenz curves were used to present socioeconomic inequalities as a plot of cumulative proportion of ≥ 8 ANC contacts among women against cumulative proportion of the population ordered by household wealth quintiles and maternal education. Concentration Index (CI) is positive when the Lorenz curve is below the line of equality indicating the concentration of 8 ANC contacts concentrates among high socioeconomic groups and vice versa. The urban vs. rural place of residence was used for stratified analyses. In the Lorenz curves, women were ranked according to ascending household wealth-related status to estimate their position in the cumulative distribution of socioeconomic status. Conventionally, when it is applied to binary indicators, the concentration index depends on the mean of the indicator. This would impede cross-factor comparisons because there are substantial differences in means between locations. To address this issue, we used an alternative but related index introduced by Erreygers [24]. Statistical significance was determined at p < 0.05. Data analysis was conducted using Stata Version 14 (StataCorp., College Station, TX, USA).


Characteristics of women

In total, 1094 women who became pregnant after the policy of 8 ANC contacts was endorsed were included in the study. The coverage of ≥ 8 ANC contacts was 8.0%; 95% CI 6.5%, 9.7%. Women between 25–29 years (9.5%) and 30–34 years (10.8%) accounted for the highest coverage of 8 ANC contacts. Women from low neighborhood socioeconomic disadvantaged group reported the highest coverage of about 14.9% of 8 ANC contacts. In addition, women with low enlightenment (2.5%) and low decision-making power (5.2%) had the least coverage of 8 ANC contacts. Women who got married at age > 24 years, in monogynous marriage, initiated ANC contacts within first trimester, had 1–3 children, and 1st in birth order or Christians, had the highest coverage of 8 ANC contacts (13.9%, 9.2%, 14.9%, 9.3%, and 11.8% respectively). Those who had history of terminated pregnancy (12.3%), covered by health insurance (44.4%), and not married (12.5%) had higher coverage of 8 ANC contacts in Benin. Several maternal characteristics were significantly associated with 8 ANC contacts (P < 0.05) at the bivariate analysis are presented in Table 1.

Table 1 Characteristics of women attending ≥ 8 ANC contacts in Benin, West Africa, BDHS 2017–18

Factors associated with ≥ 8 ANC contacts (multivariable logistic regression)

The results of timing to antenatal care initiation showed that women who had late booking (after 1st trimester) had 97% reduction in ≥ 8 ANC contacts compared with women who initiated ANC contacts within the first trimester (AOR = 0.03; 95% CI 0.00, 0.21). In addition, women with medium or high enlightenment were 4.55 and 5.49 times as likely to have ≥ 8 ANC contacts, compared with women having low enlightenment (AOR = 4.55; 95% CI 1.41, 14.69 and AOR = 5.49; 95% CI 1.77, 17.00) Table 2.

Table 2 Logistic regression of the factors associated with ≥ 8 ANC contacts among women of reproductive age in Benin, West Africa, BDHS 2017–2018

Marginal effects of the factors associated with ≥ 8 ANC contacts

In Table 3, marginal effect analysis was conducted to decipher the effects of the factors associated with ≥ 8 ANC contacts. From the predictive marginal effects results, assuming the distribution of all factors remained the same among women, but every woman had low neighborhood socioeconomic disadvantaged status, we would expect 11% of ≥ 8 ANC contacts. If every woman had high maternal enlightenment or high decision-making power, we would expect 11% and 8% of ≥ 8 ANC contacts. If instead the distribution of neighborhood socioeconomic disadvantaged status, maternal enlightenment, and decision-making power were as observed and other covariates remained the same among women, but no woman had first marriage before age 25 years or had monogynous family life, we would expect about 10% and 9% of ≥ 8 ANC contacts respectively. Furthermore, if instead the spread of the aforementioned variables were as observed and other covariates remained equal among women, but every woman initiated ANC contacts within 1st trimester were Christians or had health insurance coverage, we would expect 13%, 9%, and 16% of ≥ 8 ANC contacts respectively. In Table 3, we practically obtained the predictive marginal effects of the factors associated with ≥ 8 ANC contacts.

Table 3 Marginal effect of the factors associated with the frequency of ANC visits among women of reproductive age in Benin, West Africa, BDHS 2017–2018

Socioeconomic inequalities (Lorenz curve and concentration index)

Figures 1, 2, 3, 4 showed the household wealth-related and maternal education inequalities for women of reproductive age who had ≥ 8 ANC contacts in Benin, West Africa. The farther the Lorenz curves sags away from the line of equality, the greater the degree of inequalities. The curves revealed that women from higher wealth group and maternal education had higher ≥ 8 ANC contacts.

Fig. 1
figure 1

Urban-rural differential in household wealth-related inequalities of ≥ 8 ANC contacts

Fig. 2
figure 2

Urban-rural differential in maternal education inequalities of ≥ 8 ANC contacts

Fig. 3
figure 3

Overall household wealth-related inequalities of ≥ 8 ANC contacts

Fig. 4
figure 4

Overall maternal education inequalities of ≥ 8 ANC contacts

In Table 4, we presented the coverage of ≥ 8 ANC contacts across household wealth quintile and maternal education. Overall, the richest women and higher maternal education had the highest coverage of ≥ 8 ANC contacts. Using Concentration Index, we quantified the degree of wealth-related and maternal education inequalities in ≥ 8 ANC contacts. The outcome (≥ 8 ANC contacts) was significantly more in the higher household wealth groups and maternal education, specifically among the urban women and total sample: Household wealth-related factor: urban women—Conc. Index = 0.33; p < 0.001; total sample—Conc. Index = 0.37; p < 0.001. Maternal education: urban women—Conc. Index = 0.18; p = 0.006; total sample—Conc. Index = 0.21; p < 0.001).

Table 4 Prevalence and Concentration Index of ≥ 8 ANC contacts by household wealth quintile and maternal education, BDHS, 2017-18


About 3 years (since November 2016) after the publication and dissemination of ≥ 8 ANC contacts guideline, this survey is the foremost to select respondents and gauges the status and extent of in-country utilization and adaptation, and whether the recommendation in the guideline has been implemented or influenced policy decisions. The recommendation requires that the first ANC contact should take place in the first 12 weeks of gestation (within first trimester of the pregnancy); thereafter, two other contacts are scheduled to take place during the 20th and 26th weeks of gestation (that is, during the second trimester of the pregnancy), and the remaining five contacts are scheduled to place during the third trimester (precisely at 30th, 34th, 36th, 38th, and 40th weeks of gestation) [25].

The results of this study revealed that after about 3 years of the launch of WHO minimum of 8 ANC contacts model, less than one tenth (only 8.0%) of women in Benin had at least 8 ANC contacts with the health care providers throughout the period of their pregnancy. In a previous study, which examined the coverage of minimum 4 ANC visits in Benin, the findings from 2006 and 2012 data showed the coverage were about 61.0% and higher than the current minimum of 8 ANC contacts [13]. This result clearly showed that the new WHO 8 ANC contacts model is yet to be institutionalized or accepted among women of childbearing age in Benin Republic. It is most likely that supply-side and demand-side factors could be responsible for this low minimum of 8 ANC contacts uptake. For example, lack of behavior change communication/awareness, poor health care system, or lack of buy-in by stakeholders in health system including the providers can be linked to this staggering outcome.

In the marginal effects model, women from the least socioeconomic disadvantaged neighborhood were found to have had higher predictive value of ≥ 8 ANC contacts. This can be viewed in the light that women who live in an economic advantaged neighborhood may be well-off, more enlightened, and have more access to health facility than those living in economically disadvantaged neighborhood. The pro-rich neighborhood is commonly where the members of richest wealth quintile, educated, and the affluent members of a given society dwell. These areas are commonly equipped with the best of health care, technology, and education compared with the poor or socioeconomically most disadvantaged areas. This phenomenon abounds in most parts of SSA countries. The reason for the inability to have maximum ANC contacts has over the years been linked to financial constraints, poor access to health facility, lack of decision-making power as regard to reproductive health matters, proximity to health facility, and so forth [12, 26,27,28]. These factors that are linked to low frequency of ANC contacts should be of great concern to policy makers and funding agencies. Some studies have acknowledged lack of knowledge of the importance of ANC contacts, ignorance of the time to start ANC contacts, as reasons for underutilization of ANC in general [12, 27, 29]. This finding corroborates with the present results from the analysis of socioeconomic inequalities, where the educated women and those from households with high wealth status had greater uptake of ANC contacts as recommended in the new guideline.

The enlightenment level of pregnant women was also found to be correlated with ≥ 8 ANC contacts. Improved enlightenment levels usually result from exposure to educational materials, listening to news, watching television, reading newspapers, and passing through a formal education. This may be related to the knowledge of the importance of registering for ANC and also completing at least 8 ANC contacts. These factors have previously been reported to positively influence optimal utilization of ANC among women in Benin [30] and in rural Malawi [31]. Moreover, we observed that high decision-making power is a factor that increased at least 8 ANC contacts. This factor could result from increased autonomy for the women, more access to health information, and an enhanced economic and monetary status [12]. Therefore, it is important that the girl child should be educated up to post-secondary school level and empowered for greater independence such that the issues concerning her health needs especially the reproductive aspect will be decisively taken by her. In addition, more communication through using mass media providing information about the importance of this new ANC model would be helpful in facilitating behavior change [32]. The multivariable logit model shows that women who were highly or moderately enlightened were more likely to have 8 or more antenatal care contacts. Education or enlightenment has been reported to be a protective factor that enhances women’s utilization of health care services as well as reproductive health decision-making [33, 34].

Women who married after age 24 years had higher predictive values of at least 8 ANC contacts. This finding is in agreement with the report of a previous study where the majority of the pregnant women who had good utilization of ANC contacts had their marriage after adolescent age [35]. The explanations could be that the delay of timing to marriage may be due to spending more time in educational institution or career development [36], which is a measure of improving women’s empowerment. These folks could have better knowledge of the benefits of optimal ANC contacts during pregnancy which is in line with reports from previous studies [35, 37]. Education is one of the major ways to empower women. It provides them with higher assurance and competence to make decisions in the use of available modern health care services for themselves and their children [33].

In addition, women who initiated ANC early or at the first trimester of pregnancy had higher predictive value of ≥ 8 ANC contacts. Also, in the logit model, it was found that late booking for ANC had large reduction in the odds of having at least 8 ANC contacts during pregnancy. Similarly, the findings from previous studies showed that early booking for ANC would result in optimal number of ANC contacts during pregnancy [38]. Furthermore, women who had health insurance coverage, monogynous family, long preceding birth interval or first childbirth, and of Christian religious belief had increased predictive values to the uptake of a minimum of 8 ANC contacts.

The findings from the socioeconomic inequalities of ≥ 8 ANC contacts revealed that women from non-poor households and the educated women had higher uptake of ≥ 8 ANC contacts, especially in the urban residence. This is similar to previous results obtained for the utilization of maternal health care services in Benin [13]. The SDG-3 is known to support reduction in inequalities and ensure health for all populations. Therefore, beyond the utilization of ≥ 8 ANC to reach the most disadvantaged group of women, the uptake of maternal care services must be considered to achieve the set goals. Strengthening health care programs and policies can enhance optimal ANC contacts uptake among women of reproductive age, as well as improve the utilization of maternal care services, particularly for the uneducated, low household wealth quintiles, and those who live in hard-to-reach rural residence.

Strengths and limitations

This is the foremost nationwide analyses that explore the uptake of at least 8 ANC contacts in Benin and as such could serve as a benchmark and stimulus for further nationwide studies on related subject matter. Another strength is the use of current nationally representative datasets which makes the findings of the study generalizable to women of reproductive age in Benin. However, this analysis has some drawbacks. Prominently, the analyses utilized cross-sectional data; hence, only associations and no causal relationships could be established. Moreover, our inability to measure sources of demand-side unobserved heterogeneity across the secondary data might have biased our estimates. The unavailability of relevant variables other than those collected was a major limitation in the DHS data. Furthermore, recall bias could have occurred due to the self-reported number of ANC contacts.


Analysis of the BDHS showed low coverage of ≥ 8 ANC contacts in Benin. In addition, women’s enlightenment, early ANC initiation, and socioeconomic inequalities determined the coverage of ≥ 8 ANC contacts. Effective implementation of the new ANC contacts guidelines will essentially require reorganization of care and redistribution of health care resources. The potential low implementation could be resolved by improving behavior change communication among women of reproductive age to improve their understanding of the importance of the new model of care. Enlightening women and providing support for early initiation of ANC contacts and increasing equity-focused efforts will also help to improve the uptake of the minimum 8 ANC contacts.

Availability of data and materials

Data for this study were sourced from Demographic and Health surveys (DHS) and available here:



Antenatal care


Focused antenatal care


Millennium Development Goals


Sustainable Development Goals


Sub-Saharan Africa


United Nations


World Health Organization


  1. World Health Organization. Make every mother and child count. The world health report. Geneva: World Health Organization; 2005. p. 229.

  2. Alkema L, Chou D, Hogan D, Zhang S, Moller A-B, Gemmill A, et al. Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group. The Lancet. 2016;387(10017):462–74.

    Article  Google Scholar 

  3. World Health Organization. WHO recommendations on antenatal care for a positive pregnancy experience. Geneva: World Health Organization; 2016. p. 152.

    Google Scholar 

  4. Rahman A, Nisha MK, Begum T, Ahmed S, Alam N, Anwar I. Trends, determinants and inequities of 4+ ANC utilisation in Bangladesh. J Health Popul Nutr. 2017;36(1):2.

    Article  Google Scholar 

  5. Dowswell T, Carroli G, Duley L, Gates S, Gülmezoglu AM, Khan-Neelofur D, et al. Alternative versus standard packages of antenatal care for low-risk pregnancy. In: The Cochrane Collaboration, editor. Cochrane Database of Systematic Reviews [Internet]. Chichester, UK: John Wiley & Sons, Ltd; 2010 [cited 2019 Aug 19]. p. CD000934.pub2.

  6. Hofmeyr GJ, Hodnett ED. Antenatal care packages with reduced visits and perinatal mortality: a secondary analysis of the WHO antenatal care trial - comentary: routine antenatal visits for healthy pregnant women do make a difference. Reprod Health. 2013;10(1):20.

    Article  Google Scholar 

  7. World Health Organization. WHO recommendation on group antenatal care. WHO Reprod Health Libr [Internet]. 2016 Nov;

  8. Ali N, Sultana M, Sheikh N, Akram R, Mahumud RA, Asaduzzaman M, et al. Predictors of Optimal Antenatal Care Service Utilization Among Adolescents and Adult Women in Bangladesh. Health Serv Res Manag Epidemiol. 2018.

  9. Tekelab T, Chojenta C, Smith R, Loxton D. Factors affecting utilization of antenatal care in Ethiopia: a systematic review and meta-analysis. PLoS ONE [Internet]. 2019 Apr 11 [cited 2019 Aug 10]; 14(4).

  10. Mchenga M, Burger R, von Fintel D. Examining the impact of WHO’s focused antenatal care policy on early access, underutilisation and quality of antenatal care services in Malawi: a retrospective study. BMC Health Serv Res. 2019;19(1):295.

    Article  Google Scholar 

  11. Yaya S, Bishwajit G, Ekholuenetale M, Shah V, Kadio B, Udenigwe O. Factors associated with maternal utilization of health facilities for delivery in Ethiopia. Int Health. 2018;10(4):310.

    PubMed  Google Scholar 

  12. Yaya S, Bishwajit G, Ekholuenetale M, Shah V, Kadio B, Udenigwe O. Timing and adequate attendance of antenatal care visits among women in Ethiopia. PLoS One. 2017;12(9):1–16.

    Article  Google Scholar 

  13. Yaya S, Uthman OA, Amouzou A, Ekholuenetale M, Bishwajit G. Inequalities in maternal health care utilization in Benin: a population based cross-sectional study. BMC Pregnancy Childbirth [Internet]. 2018 Dec [cited 2019 Feb 19]; 18(1).

  14. Corsi DJ, Neuman M, Finlay JE, Subramanian S. Demographic and health surveys: a profile. Int J Epidemiol. 2012;41(6):1602–13.

    Article  Google Scholar 

  15. Worldbank. Population, total - Benin | Data [Internet]. [cited 2020 Mar 28]. = BJ.

  16. Republic of Benin - Country Profile. Benin - Country Profile - Nations Online Project [Internet]. [cited 2019 Dec 13].

  17. Tunçalp Ӧ, Pena-Rosas J, Lawrie T, Bucagu M, Oladapo O, Portela A, et al. WHO recommendations on antenatal care for a positive pregnancy experience-going beyond survival. BJOG Int J Obstet Gynaecol. 2017;124(6):860–2.

    Article  Google Scholar 

  18. de Masi S, Bucagu M, Tunçalp Ö, Peña-Rosas JP, Lawrie T, Oladapo OT, et al. Integrated person-centered health care for all women during pregnancy: implementing World Health Organization Recommendations on Antenatal Care for a Positive Pregnancy Experience. Glob Health Sci Pract. 2017;5(2):197–201.

    Article  Google Scholar 

  19. Rutstein SO, Staveteig S. Making the Demographic and Health Surveys wealth index comparable. In: DHS Methodological Reports No. 9. Rockville, Maryland, USA: ICF International; 2014.

    Google Scholar 

  20. Hruschka DJ, Gerkey D, Hadley C. Estimating the absolute wealth of households. Bull World Health Organ. 2015;93(7):483–90.

    Article  Google Scholar 

  21. Yaya S, Uthman OA, Ekholuenetale M, Bishwajit G. Women empowerment as an enabling factor of contraceptive use in sub-Saharan Africa: a multilevel analysis of cross-sectional surveys of 32 countries. Reprod Health [Internet]. 2018 Dec [cited 2019 Mar 22]; 15(1).

  22. Midi H, Sarkar SK, Rana S. Collinearity diagnostics of binary logistic regression model. J Interdiscip Math. 2010;13(3):253–67.

    Article  Google Scholar 

  23. Williams R. Using the margins command to estimate and interpret adjusted predictions and marginal effects. Stata J Promot Commun Stat Stata. 2012;12(2):308–31.

    Article  Google Scholar 

  24. Erreygers G. Correcting the Concentration Index. J Health Econ. 2009;28(2):504–15.

    Article  Google Scholar 

  25. WHO. WHO recommendation on antenatal care contact schedules. WHO Reprod Health Libra. 2018; 1–7.

  26. Tolefac PN, Halle-Ekane GE, Agbor VN, Sama CB, Ngwasiri C, Tebeu PM. Why do pregnant women present late for their first antenatal care consultation in Cameroon? Matern Health Neonatol Perinatol. 2017;3(1):1–6.

    Article  Google Scholar 

  27. Gebremeskel F, Dibaba Y, Admassu B. Timing of first antenatal care attendance and associated factors among pregnant women in Arba Minch town and Arba Minch district, Gamo Gofa Zone, South Ethiopia. J Environ Public Health [Internet]. 2015 [cited 2019 Aug 27];2015.

  28. Gudayu TW, Woldeyohannes SM, Abdo AA. Timing and factors associated with first antenatal care booking among pregnant mothers in Gondar town; North West Ethiopia. BMC Pregnancy Childbirth. 2014;14(1):287.

    Article  Google Scholar 

  29. Moller AB, Petzold M, Chou D, Say L. Early antenatal care visit: a systematic analysis of regional and global levels and trends of coverage from 1990 to 2013. Lancet Glob Health. 2017;5(10):e977–83.

    Article  Google Scholar 

  30. Dansou J, Adekunle A, Arowojolu A. Factors associated with antenatal care services utilisation patterns amongst reproductive age women in Benin Republic: an analysis of 2011/2012 Benin Republic’s Demographic and Health Survey data. Niger Postgrad Med J. 2017;24(2):67.

    Article  Google Scholar 

  31. Zamawe COF, Banda M, Dube AN. The impact of a community driven mass media campaign on the utilisation of maternal health care services in rural Malawi. BMC Pregnancy Childbirth. 2016;16(1):21.

    Article  Google Scholar 

  32. Bbaale E. Factors influencing timing and frequency of antenatal care in Uganda. Australas Med J. 2011;4(8):431–8.

    Article  Google Scholar 

  33. Denise KDO, Marie-Dorothée KM, Marie-Laurette AY, Akoua T, Laure EEM, et al. Factors associated with maternal health service utilization in Cote d ’ Ivoire : analysis of the 2011 Ivorian Demographic and Health Survey. Sci J Public Health. 2019;7(4):115–22.

    Article  Google Scholar 

  34. Aziz Ali S, Ahmed Dero A, Aziz Ali S, Bano AG. Factors affecting the utilization of antenatal care among pregnant women: a literature review. J Pregnancy Neonatal Med. 2018;02(02):41–5.

    Article  Google Scholar 

  35. Awasthi MS, Awasthi KR, Thapa HS, Saud B, Pradhan S, Khatry RA. Utilization of antenatal care services in Dalit communities in Gorkha, Nepal: a cross-sectional study. J Pregnancy. 2018.

  36. Malhotra A. Gender and the timing of marriage: rural-urban differences in Java. J Marriage Fam. 1997;59(2):434–50.

    Article  Google Scholar 

  37. Sabbah-Karkaby M, Stier H. Links between education and age at marriage among Palestinian women in Israel: changes over time. Stud Fam Plann. 2017;48(1):23–38.

    Article  Google Scholar 

  38. Terefe AN, Gelaw AB. Determinants of antenatal care visit utilization of child-bearing mothers in Kaffa, Sheka, and Bench Maji zones of SNNPR, Southwestern Ethiopia. Health Serv Res Manag Epidemiol. 2019;6.

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The authors appreciate the MEASURE DHS project for the approval and access to the original data.


This research received no grant from any funding agency in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations



ME conceived and designed the study, performed data analysis, and wrote the results. AB, CIN, and AO review the literature, wrote the discussion of the findings, and critically reviewed the manuscript for its intellectual content. All authors read and approved the final version of the manuscript.

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Correspondence to Michael Ekholuenetale.

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Ethics approval for this study was not required since the data is secondary and is available in the public domain. More details regarding DHS data and ethical standards are available at Consent to participate is not applicable.

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Demographic and Health Survey is a de-identified open-source dataset. Therefore, the requirement of consent for publication is not applicable.

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Ekholuenetale, M., Nzoputam, C.I., Barrow, A. et al. Women’s enlightenment and early antenatal care initiation are determining factors for the use of eight or more antenatal visits in Benin: further analysis of the Demographic and Health Survey. J. Egypt. Public. Health. Assoc. 95, 13 (2020).

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  • ANC
  • Sub-Saharan Africa
  • Benin
  • Maternal health
  • Women