Skip to main content
Download PDF

Maternal and community factors associated with unmet contraceptive need among childbearing women in Northern Nigeria

Contraception and Reproductive Medicine volume 4, Article number: 11 (2019) Cite this article

Abstract

Background

Unmet need for modern contraceptive remains a critical reproductive health challenge in Nigeria. Numerous studies in Nigeria and other countries have investigated the patterns, prevalence and associated factors of unmet contraceptive need. In spite of these, the associated factors of unmet contraceptive need in Northern Nigeria have remained insufficiently explored. The few studies that focused on Northern Nigeria have mainly examined maternal individual factors leaving out higher level factors such as community-level factors that may be associated with unmet contraceptive need. This study examines the extent to which maternal and community factors are associated with unmet contraceptive need in Northern Nigeria.

Method

Data was pooled from 2008 to 2013 Nigeria Demographic and Health Surveys. A weighted sample size of 26,730 women was analysed. The outcome variable was unmet contraceptive need, dichotomised into no unmet need and unmet need. The explanatory variables were individual maternal characteristics such as age, education, number of living children, age at marriage, pregnancy termination experience, and death of a child, and selected community characteristics such as community socioeconomic status, community literacy level, community knowledge of modern contraceptive and geo-political zone. The Multilevel Logistic Regression Model (MLRM) was applied.

Result

Results showed a prevalence of 18% unmet contraceptive need among Northern women in Nigeria. Maternal age of 35 years or older (AOR = 0.873; p < 0.05, CI: 0.780–0.976), having five or more living children (AOR = 1.813; p < 0.001, CI: 1.663–1.977), higher maternal education (AOR = 0.787; p < 0.05, CI: 0.625–0.993), and never experience death of a child (AOR = 0.866; p < 0.001, CI: 0.805–0.933) are the maternal factors significantly associated with unmet contraceptive need, while high community literacy level (AOR = 1.230; p < 0.05, CI: 1.041–1.454), moderate (AOR = 0.862; p < 0.05, CI: 0.767–0.968) or high (AOR = 0.821; p < 0.05, CI: 0.726–0.929) community knowledge of modern contraceptive, and geo-political zone of residence are the community-level characteristics significantly associated with unmet contraceptive need among women in Northern Nigeria.

Conclusion

Maternal and community factors are significantly associated with unmet contraceptive need, but based on the ICC maternal factors have more significance in Northern Nigeria. The expansion of existing family planning delivery points to cover all communities including rural and remote areas in the region is imperative.

Background

Unmet contraceptive need exists when women desire to limit childbearing or delay next pregnancy, but are not using any form of contraception to actualise such reproductive desire [1,2,3]. Unmet contraceptive need remains a public health concern in developing countries particularly in sub-Saharan Africa, where it is currently high but expected to reduce if the countries increase public expenditure on family planning and improve access to modern contraceptives [4, 5]. It is important to address the current high unmet contraceptive need in developing countries because it elevates the exposure of childbearing women to unintended pregnancies, high-risk births, and unsafe abortion, in addition to preventing women from engaging in optimal economic productivity, and thus, may undermine the attainment of the post-2015 development agenda [6,7,8,9].

Numerous studies in Nigeria [10,11,12] and in other countries [13,14,15,16,17,18,19] have investigated the patterns, prevalence and associated factors of unmet contraceptive need. These studies not only provided information on the various reasons for unmet contraceptive need among women, but also raise public awareness on the consequences of unmet contraceptive need. In spite of these numerous studies, the associated factors of unmet contraceptive need in Northern Nigeria have remained insufficiently explored. The few studies that focused on Northern Nigeria [20,21,22] have mainly examined maternal individual factors associated with unmet contraceptive need. The studies provided evidence of low use of modern contraceptive among women in Northern Nigeria. A particular study found 10.3% unmet need for family planning among rural women in the region [21], which was much higher than the 2% reported in a more recent study in the region [22]. The studies also provided evidence of male control over women’s utilisation of modern contraceptives in the region [21, 22]. Higher levels of influence on unmet contraceptive need such as community-level characteristics were largely ignored in the existing Northern Nigerian studies.

As observed in an earlier study [23], the determinants of low use of modern contraceptives, and high unmet need among women in low and middle-income countries are similar and operate at multiple levels of the social and physical environment such as the individual level, household level, community level, and health service level. Each level of influence has both joint and independent effects on the level of contraceptive use as well as level of unmet contraceptive need in specific context. For instance, two women with similar or the same socio-demographic characteristics may have different likelihood of contraceptive use due to living in different communities with different proportions of women who had economic empowerment in the community. By examining factors beyond the maternal level, the research prospect of identifying more relevant factors to be targeted in family planning interventions is enhanced across developing countries. It is against this backdrop that the current study focused on maternal and community factors associated with unmet contraceptive need in Northern Nigeria. The study is guided by the research question: to what extent are maternal and community factors associated with unmet contraceptive need in Northern Nigeria?

Methods

Study context

The Federal Republic of Nigeria, an Anglo-phone West African country is the current seventh most populous country in the world, and Africa’s most populous country [24]. Population within the country is unevenly distributed between the Southern and Northern regions of the country, with the Northern region being the most populous region in the country. However, in terms of socio-economic development, the Northern region is the poorest in the country with several parts of the region currently undergoing armed insurgency that have gone a long way in reducing availability and utilisation of reproductive health services including family planning services [25,26,27]. The Northern region of Nigeria is predominantly Islamic with well-entrenched patriarchal social order that thrives on polygynous marriages which has been associated with lower contraceptive use in the country [28]. The region is a high fertility zone [29] with persistence of high parity [30, 31] which has been associated with adverse maternal and child health outcomes in Northern Nigeria [32, 33], as well as in other countries [34,35,36], and low contraceptive use among high parous women [37]. The region also had the least percentage of family planning demand satisfied by modern methods in the country [38]. Nevertheless, many women in the region still face fertility challenges [39]. Most other indicators of demographic and health situation in the country such as contraceptive prevalence, infant and child health, maternal mortality, and female genital mutilation/cutting reveal that the Northern region is not only worst off in the country, but also deserves more reproductive health attention, which is been promoted through series of health initiatives [40] in addition to ongoing implementation of national population and health policies [41,42,43].

Data source and sample size

Data analysed in the study was pooled from 2008 and 2013 Nigeria Demographic and Health Surveys (NDHSs) which was part of the Demographic and Health Survey (DHS) being implemented across developing countries to provide national estimates of basic demographic and health information such as fertility, family planning, maternal and child health, female genital mutilation/cutting, and domestic violence. The DHS are nationally representative surveys based on similar methodology and design across the developing countries [44]. In each country where the surveys are conducted, the national population or statistical agency is usually the agency to implement the survey with technical and financial support from the USAID through MEASURE DHS. The 2008 and 2013 NDHSs are the fourth and fifth rounds of the survey in Nigeria. Samples in the surveys were selected in a three-staged stratified cluster designs. In both surveys, information was obtained from respondents using DHS model questionnaires. Interviews were conducted sequel to obtaining informed consent from respondents. The design of the surveys has been widely published [38, 45]. In the current study, the 2008–2013 data were pooled to form a large mass of data that enhance statistical precision and inference. The study used the survey weights provided by the DHS to weight the sample. Hence, a weighted sample size of 26,730 women was analysed. Women included in the sample were: women who want to postpone their next pregnancy or birth but not using a contraceptive method; women who want no more children but not using a contraceptive method; and women who either had a current mistimed or unwanted pregnancy. Those excluded from the study were women from the Southern region and other women that are not relevant to the study such as women who are not currently married, and those not sexually active.

Research variables

The outcome variable was unmet contraceptive need, which was categorised into unmet need and no unmet need. The category of interest in the study was the unmet need category. This group represents the proportion of women who desire to either delay the next pregnancy or limit child birth, but not using any method of contraception [1,2,3]. The explanatory variables were individual maternal characteristics such as age, age at marriage, number of living children, pregnancy termination experience, education, female autonomy on household decision, and experience of death of a child, and community-level characteristics such as community socioeconomic status, community literacy level, community knowledge of modern contraceptive, proportion of women ever used modern contraceptive in community, place of residence, and geo-political zone. These variables were selected based on their significance in previous studies [11, 12, 14, 15, 23]. Four community-level characteristics, namely, community education level, community socioeconomic status, proportion ever used modern contraceptive method, and community knowledge of modern contraceptive were divided into three categories of ‘low, medium, and high’ based on the percentiles. Two health service factors, namely, visitation by family planning worker and barriers to healthcare, and two male-partner factors, namely partner education and couple fertility desire were selected for statistical control in the study. Table 1 provides further information on variable definition and measurement.

Table 1 Variable definition and measurement
Full size table

Data analysis

Data were analysed at the univariate, bivariate and multivariate levels. Prevalence of unmet contraceptive need was described using the pie chart, while the respondents’ characteristics were described using percentages and frequency distribution at the univariate level. At the bivariate level, Unadjusted Odds Ratio (UOR) of binary logistic regression was used to examine the likelihood of unmet contraceptive need due to change in each specific explanatory variable. Variables that show statistical significance at this level were selected for inclusion in Multilevel Logistic Regression Model (MLRM). The MLRM was used based on the hierarchy of influence on unmet contraceptive need, namely, individual maternal level and community level, and to show effects that vary by community. The MLRM consists of fixed effects (regression coefficients that vary but not being modelled), and random effects (the regression coefficients being modelled) [46, 47].

The MLRM fitted in the study was specified as:

$$ logit\ \left({P}_r\left({Y}_{ij}=1\right)\right)={\alpha}_0+{\alpha}_{oj}+{\alpha}_1{x}_{1 ij}+\dots +{\alpha}_k{x}_{kij}+{\beta}_1{z}_{1j}+\dots {\beta}_m{z}_{mj} $$

Where:

xij − xkij are the maternal characteristics

z1j − zmj are the community-level characteristics

The fixed effects of MLRM were assessed using the binary logistic Adjusted Odds Ratio (AOR), while the random effects of the MLRM were measured using Intra-Cluster Correlation (ICC) and Median Odds Ratio (MOR). The ICC calculated as:\( \frac{\sigma_{ui}^2}{\sigma_{ui}^2+\left[\frac{\pi^2}{3}\right]} \) where \( {\sigma}_{ui}^2 \) is the variance at the community level [48] shows the variation in unmet contraceptive need due to the community-level characteristics, and ranges from 0 to 1 but may be expressed in percentage. The higher the values of the ICC, the more important are the community-level characteristics. The MOR calculated as: \( \exp (0.95)\sqrt{\sigma_{ui}^2} \) [49] is the median increased odds of reporting unmet contraceptive need if a woman moves to another community with higher likelihood of unmet contraceptive need. The higher the MOR, the more are the importance of the community-level characteristics in predicting variations in unmet contraceptive need. In the absence of community-level characteristics, the value of MOR will be equal to 1 [48]. Model adequacy was checked using the LR test. Statistical significance is accepted at p < 0.05. All analyses were performed using Stata version 14 [50].

Results

Figure 1 presents the prevalence of unmet contraceptive need among the respondents. As shown in the figure, nearly one-fifth of the respondents had unmet contraceptive need, while the majority of the respondents had no unmet contraceptive need. Table 2 presents the socio-demographic characteristics of the respondents. Slightly more than a quarter of the respondents were less than 25 years, while the rest were 25 years or older. The majority of respondents were 17 years or younger at the time of marriage, while slightly more than one-fifth of the respondents were in the age range of 18 to 24 years at the time of their marriage. The majority of the respondents had four or fewer number of living children, while less than one-third of the respondents had five or more living children. The majority of the respondents had no formal education, but the dominant educational attainment among the educated was primary education. The majority of respondents had no autonomy on household decisions. Slightly more than one-tenth of the respondents had experienced at least one pregnancy termination, while more than half of the women had never experienced the death of a child.

Fig. 1
figure 1

Prevalence of unmet contraceptive need in Northern Nigeria

Full size image
Table 2 Respondents’ Socio-demographic characteristics
Full size table

The distribution of the respondents by community literacy level was nearly equal among the respondents. However, slightly higher proportion of the respondents lives in communities with low proportion of women who had secondary education compared to other community educational categories. Nearly half of the respondents live in communities with low socioeconomic status, while one-third of the respondents live in communities with high socioeconomic status. The distribution of respondents by community knowledge of modern contraceptive was nearly equal among the women. But higher proportions of the respondents live in communities with low proportion of women who had ever used contraceptive. The majority of respondents are rural dwellers. Respondents from the North-west geo-political zone were dominant in the sample. Virtually all the respondents were not visited by a family planning worker in the last 12 months preceding the survey. The majority of respondents had no barrier to accessing healthcare. More than half of respondents’ partners had no formal education, but secondary education was the dominant level among educated partners. More than two-fifths of respondents’ partners desired more children compared to the respondents.

Table 3 presents the bivariate results of the analyses. As maternal age increases, the likelihood of unmet contraceptive need increased significantly among the women particularly among women in the advanced reproductive age of 35 years or older (UOR = 1.335; p < 0.001). Likewise, as number of living children increased from four or less to five or more, the likelihood of unmet contraceptive need increased significantly among the women (UOR = 1.672; p < 0.001). On the contrary, as age at marriage increases, the likelihood of unmet contraceptive need reduced among the respondent, but this was without statistical significance. Maternal education had mixed relationship with unmet contraceptive need. At the primary and secondary educational levels, the likelihood of unmet need increased, but at higher educational level, the likelihood of unmet contraceptive need reduced significantly (UOR = 0.817; p < 0.05). Female autonomy and pregnancy termination were not significantly related to unmet contraceptive need among the women. Women who had never experienced death of a child were less likely to have unmet contraceptive need compared with women who had experienced death of a child (UOR = 0.832; p < 0.001).

Table 3 Unadjusted odds ratio of binary logistic regression showing association between specific explanatory variable and unmet contraceptive need
Full size table

As community literacy improves from low to medium and high, the likelihood of unmet contraceptive need increased among the women indicating a positive relationship between community literacy level and unmet contraceptive need. Though, the relationship between community socioeconomic status was also positive, but the relationship was without statistical significance. In contrast, as community knowledge of modern contraceptive improved from low to medium and to high, the likelihood of unmet contraceptive need reduced significantly among the respondent. Women who live in communities with high proportion of women who had ever used contraceptive were significantly more likely to have unmet contraceptive need (UOR = 1.086; p < 0.05). Place of residence and geo-political zones of the respondents were significantly associated with unmet contraceptive need. Visitation by family planning worker was the only control variable not significantly related to unmet contraceptive need among the women. The variables that showed no statistical significance at the bivariate level, namely, age at first marriage, female autonomy, pregnancy termination, community socioeconomic status, and visitation by family planning worker were excluded from the multivariate analyses.

Table 4 presents the fixed effects of the MLRM. The Wald chi-square tests confirm that the models are adequately fitted. In Model 1, the four maternal characteristics included in the model, namely, maternal age, number of living children, education, and experience of death of a child revealed statistically significant associations with unmet contraceptive need. The inclusion of the community-level characteristics in Model 2 did not cause any change in the statistical significance of the maternal characteristics. In the model, community literacy level, community knowledge of modern contraceptive, and geo-political zones were the community-level characteristics significantly associated with unmet contraceptive need.

Table 4 Fixed effects on the likelihood of unmet contraceptive need, Northern Nigeria
Full size table

In Model 3, four maternal characteristics (maternal age, number of living children, experience of death of a child, and maternal education), and three community characteristics (community literacy level, community knowledge of modern contraceptive, and geo-political zone) were the variables significantly associated with unmet contraceptive need. Women who were 35 years or older were 12.7% less likely to have unmet contraceptive compared to women in the 15–24 years age range (AOR = 0.873; p < 0.05, CI: 0.780–0.976). However, women who had five or more living children were 81.3% more likely to have unmet contraceptive need compared to women who had four or fewer number of living children (AOR = 1.813; p < 0.001, CI: 1.663–1.977). Women who attained higher education were 21.2% less likely to have unmet contraceptive need compared to uneducated women (AOR = 0.787; p < 0.05, CI: 0.625–0.993). Also, women who had never experienced death of a child were 13.4% less likely to have unmet contraceptive need compared to women who had experienced death of a child (AOR = 0.866; p < 0.001, CI: 0.805–0.933).

The model further reveals that women who live in communities with high literacy level were 23% more likely to have unmet contraceptive need compared to women in the reference category (AOR = 1.230; p < 0.05, CI: 1.041–1.454). On the contrary, women who live in communities with high knowledge of modern contraceptive were 17.9% less likely to have unmet contraceptive need compared to women in communities with low knowledge of modern contraceptive need (AOR = 0.821; p < 0.05, CI: 0.726–0.929). Likewise, women in the North-west geo-political zone were 16.8% less likely to have unmet contraceptive need compared to women in the North-central geo-political zone (AOR = 0.832; p = 0.001, CI: 0.748–0.926). Barrier to healthcare was the only control variable that reveals significant association with unmet contraceptive need. Table 5 presents random effects of the MLRM. Diagnosis of the model adequacy using the LR test reveals that the empty model as well as the three fitted models were adequate for examining the significance of contextual influence on unmet contraceptive need (p < 0.001). However, the results of the ICC only reveal marginal importance of the community level characteristics compared with the maternal characteristics. Across the fitted models, the ICC showed that community factors accounted for less than 5 % of the variation in unmet contraceptive need among the women, which was buttressed by the median odds ratios that indicate a low context effect in the three models.

Table 5 Multilevel logistic regression model showing random-effects on unmet contraceptive need, Northern Nigeria
Full size table

Discussion

This study examined the extent to which maternal and community factors were associated with unmet contraceptive need in Northern Nigeria. The study not only provided additional information on the prevalence and associated factors of unmet contraceptive need, but has also made two key significant contributions to the literature on unmet need for family planning. Firstly, the study focused on Northern Nigeria which is the region with the poorest contraceptive prevalence in the country, and has only been covered in few studies on unmet contraceptive need in the region [20,21,22]. The situation of unmet need for family planning in Northern Nigeria has therefore been brought further to the fore of national family planning awareness, which may draw the attention of family planning programming officers in the country. Secondly, the study extended search for significant correlates of unmet contraceptive need in Nigeria by examining the likely community characteristics that may shape the level of unmet need for family planning in Northern Nigeria. This addressed the limitation of previous studies in the region [20,21,22], and provides information on wider range of variables to be targeted by family planning policy makers in the region. Based on the findings five key issues emerged from the study.

One, the prevalence of unmet contraceptive need in Northern Nigeria is 18%. This prevalence is higher than the 10.3% reported in an earlier study in the region [21] and much higher than the 2% reported in a recent study in the region [22]. This variation may be explained by the fact that the previous studies in the region [20,21,22] were small scale surveys compared to the NDHSs which were nationally representative and covered more women in the region. The result is however similar to the 17.1% reported in a study in Indonesia [15], the 17.4% reported by a study in Ethiopia [16], and the 17.4% reported in a study conducted in Iran [14]. However, the level of unmet contraceptive need found in this study is much lower than the 31.1% reported by a study in North-west region of Cameroon [18], the 44% found in a study in Dessie Town of Ethiopia [17], as well as the 32.4% reported in a study conducted in Burundi [19]. The level of unmet contraceptive need found in this study is thus comparable to findings elsewhere, and suggests need for fresh initiatives in Northern Nigeria to reduce unmet need for family planning among childbearing women in the region.

This is particularly important because high unmet contraceptive need further expose women to unintended pregnancies, unsafe abortion, and hinder women from effective economic participation, which also have implications for family health [6,7,8,9]. Bearing in mind, that Northern Nigeria is a high fertility zone in the country [29], there is need for urgent steps to be taken to reduce unmet need for family planning in Northern Nigeria. This may include expansion of existing family planning delivery points to cover all communities including rural and remote areas in the region. Such initiative should take advantage of the existing negative relationship between community knowledge of modern contraceptive and unmet contraceptive need as found in the study. In communities with high knowledge of modern contraceptive, the odds of unmet need were lower to indicate that expansion in knowledge of modern contraceptive may further reduce unmet need among women. It is therefore important that expansion in service delivery points should be accompanied with expansion in women’s education which is currently poor as found in this study, as this may boost awareness and utilisation of modern contraceptives among women in the region.

Two, the study found that women who had five or more living children had higher likelihood of unmet contraceptive need in Northern Nigeria. This situation is detrimental to maternal and child health in the region due to widespread evidence that high parity among women elevates the risk of adverse maternal and child health outcomes [32,33,34,35,36]. It is therefore important for additional contraceptive information, education and communication programme in the country to specifically target women with high parity in Northern Nigeria. Such programme could be designed and implemented by Primary Health Care agencies which are the nearest health facility to most women in the region.

Three, the study reveal that women with higher education had the least likelihood of unmet contraceptive need in Northern Nigeria which was consistent with findings in previous Nigerian studies [11, 12]. This implies that initiatives to improve women’s access to formal education in the region should not be limited to primary and secondary educational levels but should seeks to make higher education more accessible to women in the region. Higher education for women not only provides them with economic empowerment, it also enhances their ability to take reproductive decisions with little male involvement. Though, higher education among women may also create some problems such as the problems associated with delayed marriage and childbearing, but such problem can be properly handled through adequate family life education curriculum. In spite of the significance of maternal education, it was revealed in the study that high community literacy level was associated with higher odds of unmet contraceptive need. This seems counter-productive but may be explained by the fact that when there is high proportion of women who had secondary or higher education in the community, there is also higher likelihood of postponement of marriage or childbearing among women in the community. In such community, women will most likely use contraceptive for spacing and not limiting. This may create unmet contraceptive need among women particularly when family planning delivery is poor in the community.

Four, the study reveals that women who had never experienced death of a child had less likelihood of unmet contraceptive need. This finding has two implications. Firstly, it may suggest that women who had lost a child in the region tend to desire replacement of the dead child irrespective of current number of living children. For women still at the lower echelons of the reproductive life span, such fertility desire may not be injurious to their reproductive health, but for women already in advanced reproductive age who may no longer have fertility desire such attempt to replace a dead child may lead to serious health complications. Secondly, it tends to draw attention to boosting child survival in the region. Presently, child health is poorest in Northern Nigeria compared to Southern Nigeria [38] and needs to be improved upon to discourage some women from continuing to have deliveries with the mind-set that some of the new-borns may not survive to adulthood, hence another pregnancy is desired as possible replacement.

Five, the study revealed that the odds of unmet contraceptive need was higher among women who had no barrier to accessing healthcare. Ordinarily, women who had no barrier to accessing healthcare should have reduced unmet contraceptive need since such women will have more likelihood of receiving facility-based counselling and education on family planning. The results however may also indicate that in some situations, having access to healthcare services may not necessarily translate to utilisation of the services. This is possible in many Islamic settings such as Northern Nigeria where women may not utilise available services due to preference for female healthcare providers or personnel who may not be readily available in some health facility, particularly in rural and remote areas. Thus, repositioning family planning services in Northern Nigeria may require the development and implementation of more religion or culture specific strategies. This may be particularly more relevant in the North-east and North-west geopolitical zones of the region because the two zones have the poorest levels of contraceptive prevalence in the country.

The analysis performed in the study suffers from two drawbacks. One, the study pooled data from surveys conducted in 2008 and 2013. This will treat the sample analysed as sampling done with replacement, and will not allow the findings to be specifically linked to either to 2008 or 2013 but jointly as a single period of 2008–2013. It is therefore important to understand the inference made in the study with caution despite the precision attributable to pooled data. Also, the cross-sectional nature of the data did not allow the investigation of causality. Hence, the analyses were limited to investigating associations between the research variables.

Conclusion

This study analysed maternal and community factors associated with unmet contraceptive need in Northern Nigeria. Data were extracted from the 2008–2013 Nigeria Demographic and Health Surveys. Findings revealed that some maternal and community factors were significantly associated with unmet contraceptive need in Northern Nigeria. However, based on the results of the ICC, individual maternal characteristics showed more significance than community characteristics. The expansion of existing family planning delivery points to cover all communities including rural and remote areas in the region is imperative.

Availability of data and materials

The dataset supporting the conclusions of this article is available online at https://dhsprogram.com/data/

Abbreviations

DHS:

Demographic and Health Survey

MLRM:

Multilevel Logistic Regression Model

NDHS:

Nigeria Demographic and Health Survey

References

  1. Bradley SEK, Casterline JB. Understanding unmet need: history, theory, and measurement. Stud Fam Plan. 2014;45(2):123–50. https://doi.org/10.1111/j.1728-4465.2014.00381.x.

    Article  Google Scholar 

  2. Cleland J, Harbison S, Shah IH. Unmet need for contraception: issues and challenges. Stud Fam Plan. 2014;45(2):105–22.

    Article  Google Scholar 

  3. Sedgh G, Ashford LS, Hussain R. Unmet need for contraception in developing countries: examining Women’s reasons for not using a method. New York: Guttmacher Institute; 2016.

    Google Scholar 

  4. Darroch JE, Singh S. Trends in contraceptive need and use in developing countries in 2003, 2008, and 2012: an analysis of national surveys. Lancet. 2013;381:1756–62.

    Article  Google Scholar 

  5. Alkema L, Kantorova V, Menozzi C, Biddlecom A. National, regional, and global rates and trends in contraceptive prevalence and unmet need for family planning between 1990 and 2015: a systematic and comprehensive analysis. Lancet. 2013;381:1642–52. https://doi.org/10.1016/S0140-6736(12)62204-1.

    Article  PubMed  Google Scholar 

  6. Yamey G, Cohen CR, Bukusi EA. Meeting an unmet need for family planning. BMJ. 2012;344:e4160. https://doi.org/10.1136/bmj.e4160.

    Article  PubMed  Google Scholar 

  7. Cleland J, Conde-Agudelo A, Peterson H, Ross J, Tsui A. Contraception and health. Lancet. 2012;380:149–56. https://doi.org/10.1016/S0140-6736(12)60609-6.

    Article  PubMed  Google Scholar 

  8. Canning D, Schultz TP. The economic consequences of reproductive health and family planning. Lancet. 2012;380:165–71. https://doi.org/10.1016/S0140-6736(12)60827-7.

    Article  PubMed  Google Scholar 

  9. Bishwajit G, Tang S, Yaya S, Feng Z. Unmet need for contraception and its association with unintended pregnancy in Bangladesh. BMC Pregnancy Childbirth. 2017;17:186. https://doi.org/10.1186/s12884-017-1379-4.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Ogunjuyigbe PO, Akinlo A, Oni GO. Violence against women as a factor in unmet need for contraception in Southwest Nigeria. J Fam Violence. 2010;25:123–30. https://doi.org/10.1007/s10896-009-9275-y.

    Article  Google Scholar 

  11. Austin A. Unmet contraceptive need among married Nigerian women: an examination of trends and drivers. Contraception. 2015;91:31–8. https://doi.org/10.1016/j.contraception.2014.10.002.

    Article  PubMed  Google Scholar 

  12. Alaba OO, Olaomi JO, Olubusoye OE. Spatial pattern and determinants of unmet need of family planning in Nigeria. S Afr Fam Pract. 2015;57(5):306–12. https://doi.org/10.1080/20786190.2015.1071536.

    Article  Google Scholar 

  13. Withers M, Kano M, Pinatih GDE. Desire for more children, contraceptive use and unmet need for family planning in a remote area of Bali, Indonesia. J Biosoc Sci. 2010;42:549–62. https://doi.org/10.1017/S0021932010000052.

    Article  PubMed  Google Scholar 

  14. Motlaq ME, Eslami M, Yazdanpanah M, Nakhaee N. Contraceptive use and unmet need for family planning in Iran. Int J Gynecol Obstet. 2013;121:157–61. https://doi.org/10.1016/j.ijgo.2012.11.024.

    Article  Google Scholar 

  15. Ayuningtyas D, Oktaviana W. Misnaniarti. Factors contributing to unmet need for contraception in Nusa Tenggara Barat, Indonesia. J Reprod Contracept. 2015;26(4):239–48. https://doi.org/10.7669/j.issn.1001-7844.2015.04.0239.

    Article  Google Scholar 

  16. Genet E, Abeje G, Ejigu T. Determinants of unmet need for family planning among currently married women in Dangila town administration, Awi zone, Amhara regional state; a cross sectional study. Reprod. 2015;12:42. https://doi.org/10.1186/s12978-015-0038-3.

    Article  Google Scholar 

  17. Tegegn M, Arefaynie M, Tiruye TY. Unmet need for modern contraceptives and associated factors among women in the extended postpartum period in Dessie town, Ethiopia. Contracept Reprod Med. 2017;2:21. https://doi.org/10.1186/s40834-017-0048-3.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Edietah EE, Njotang PN, Ajong AB, Essi MJ, Yakum MN, Mbu ER. Contraceptive use and determinants of unmet need for family planning; a cross sectional survey in the north west region, Cameroon. BMC Womens Health. 2018;18:171. https://doi.org/10.1186/s12905-018-0660-7.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Nzokirishaka A, Itua I. Determinants of unmet need for family planning among married women of reproductive age in Burundi: a cross-sectional study. Contracept Reprod Med. 2018;3:11. https://doi.org/10.1186/s40834-018-0062-0.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Duze MC, Mohammed IZ. Male knowledge, attitudes, and family planning practices in northern Nigeria. Afr J Reprod Health. 2006;10(3):53–65.

    Article  Google Scholar 

  21. Doctor HV, Findley SE, Afenyadu GY, Uzondu C, Ashir GM. Awareness, use, and unmet need for family planning in rural northern Nigeria. Afr J Reprod Health. 2013;17(4):107–17.

    PubMed  Google Scholar 

  22. Sinai I, Nyenwa J, Oguntunde O. Programmatic implications of unmet need for contraception among men and young married women in northern Nigeria. Open Access J Contracept. 2018;9:81–90. https://doi.org/10.2147/OAJC.S172330.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Wulifan JK, Brenner S, Jahn A, De Allegri M. A scoping review on determinants of unmet need for family planning among women of reproductive age in low and middle income countries. BMC Womens Health. 2016;16:2. https://doi.org/10.1186/s12905-015-0281-3.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Population Reference Bureau. 2018 World population data sheet with focus on changing age structures. Washington DC: PRB; 2018.

    Google Scholar 

  25. Ager AK, Lembani M, Mohammed A, Ashir GM, Abdulwahab A, de Pinho H, Delobelle P, Zarowsky C. Health service resilience in Yobe state, Nigeria in the context of the Boko Haram insurgency: a systems dynamics analysis using group model building. Confl Health. 2015;9:30. https://doi.org/10.1186/s13031-015-0056-3.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Solanke BL. Factors associated with use of maternal healthcare services during the Boko Haram insurgency in North-East Nigeria. Med Confl Surviv. 2018;34(3):158–84. https://doi.org/10.1080/13623699.2018.1511358.

    Article  PubMed  Google Scholar 

  27. Chukwuma A, Ekhator-Mobayode UE. Armed conflict and maternal health care utilization: evidence from the Boko Haram insurgency in Nigeria. Soc Sci Med. 2019;226:104–12. https://doi.org/10.1016/j.socscimed.2019.02.055.

    Article  PubMed  Google Scholar 

  28. Audu B, Yahya S, Geidam A, Abdussalam H, Takai I, Kyari O. Polygamy and the use of contraceptives. Int J Gynecol Obstet. 2008;101:88–92. https://doi.org/10.1016/j.ijgo.2007.09.036.

    Article  Google Scholar 

  29. Izugbara CO, Ezeh AC. Women and high fertility in Islamic northern Nigeria. Stud Fam Plan. 2010;41(3):193–204.

    Article  Google Scholar 

  30. Akinyemi A, Adedini S, Hounton S, Akinlo A, Adedeji O, Adonri O, et al. Contraceptive use and distribution of high-risk births in Nigeria: a sub-national analysis. Glob Health Action. 2015;8:29745. https://doi.org/10.3402/gha.v8.29745.

    Article  PubMed  Google Scholar 

  31. Rabiu A, Abubakar IS, Garba I, Haruna IU. Contraceptive choices among grand multiparous women at Murtala Mohammed Specialist Hospital, Kano. Ann Afr Med. 2016;15:58–62. https://doi.org/10.4103/1596-3519.176203.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Geidam AD, Audu BM, Oummate Z. Pregnancy outcome among grand multiparous women at the University of Maiduguri Teaching Hospital: a case control study. J Obstet Gynaecol. 2011;31(5):404–8. https://doi.org/10.3109/01443615.2011.561383.

    Article  CAS  PubMed  Google Scholar 

  33. Omole-Ohonsi A, Ashimi AO. Grand multiparity: obstetric performance at Aminu Kano teaching hospital, Kano, Nigeria. Niger J Clin Pract. 2011;14(1):6–9. https://doi.org/10.4103/1119-3077.79231.

    Article  CAS  PubMed  Google Scholar 

  34. Teguete I, Maiga AW, Leppert PC. Maternal and neonatal outcomes of grand multiparas over two decades in Mali. Acta Obstet Gynecol Scand. 2012;91:580–6. https://doi.org/10.1111/j.1600-0412.2012.01372.x.

    Article  PubMed  Google Scholar 

  35. Lahti M, Eriksson JG, Heinonen K, Kajantie E, Lahti J, et al. Maternal grand multiparity and the risk of severe mental disorders in adult offspring. PLoS One. 2014;9(12):e114679. https://doi.org/10.1371/journal.pone.0114679.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Al-Shaikh GK, Ibrahim GH, Fayed AA, Al-Mandeel H. Grand multiparity and the possible risk of adverse maternal and neonatal outcomes: a dilemma to be deciphered. BMC Pregnancy Childbirth. 2017;17:310. https://doi.org/10.1186/s12884-017-1508-0.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Ibrahim G, Rabiu A, Abubakar IS. Knowledge, attitude and practice of contraceptives among grand multiparous women attending antenatal clinic in a specialist hospital, Kano, Nigeria. Niger J Basic Clin Sci. 2015;12:90–4. https://doi.org/10.4103/0331-8540.169277.

    Article  CAS  Google Scholar 

  38. National Population Commission (NPC) [Nigeria], ICF International. Nigeria Demographic and Health Survey 2013. Abuja and Rockville: NPC and ICF International; 2014.

    Google Scholar 

  39. Iliyasu Z, Galadanci HS, Abubakar S, Auwal MS, Odoh C, Salihu HM. Et. Phenotypes of intimate partner violence among women experiencing infertility in Kano, Northwest Nigeria. Int J Gynaecol Obstet. 2016;133:32–6. https://doi.org/10.1016/j.ijgo.2015.08.010.

    Article  PubMed  Google Scholar 

  40. Doctor HV, Findley SE, Ager A, Cometto G, Afenyadu GY, Adamu F, Green C. Using community-based research to shape the design and delivery of maternal health services in northern Nigeria. Reprod Health Matters. 2012;20(39):104–12. https://doi.org/10.1016/S0968-8080(12)39615-8.

    Article  PubMed  Google Scholar 

  41. National Population Commission. National Policy on population for sustainable development. Abuja: NPC; 2004.

    Google Scholar 

  42. Federal Ministry of Health. Revised National Health Policy. Abuja: FMoH; 2004.

    Google Scholar 

  43. Federal Ministry of Health. Saving newborn lives in nigeria: newborn health in the context of the integrated maternal, newborn and child health strategy. 2nd ed. Abuja: FMoH, Save the Children, Jhpiego; 2011.

    Google Scholar 

  44. ICF International. Survey Organization Manual for Demographic and Health Surveys, MEASURE DHS. Calverton: ICF International; 2012.

    Google Scholar 

  45. National Population Commission (NPC) [Nigeria], ICF Macro. Nigeria Demographic and Health Survey 2008. Abuja: NPC and ICF Macro; 2009.

    Google Scholar 

  46. Gelman A, Hill J. Data analysis using regression and multilevel/hierarchical models. New York: Cambridge University Press; 2007.

    Google Scholar 

  47. Austin PC, Merlo J. Intermediate and advanced topics in multilevel logistic regression analysis. Stat Med. 2017. https://doi.org/10.1002/sim.7336.

    Article  Google Scholar 

  48. Merlo J, Wagner P, Ghith N, Leckie G. An original stepwise multilevel logistic regression analysis of discriminatory accuracy: the case of Neighbourhoods and health. PLoS One. 2016;11(4):e0153778. https://doi.org/10.1371/journal.pone.0153778.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Goicolea I, San Sebastian M. Unintended pregnancy in the amazon basin of Ecuador: a multilevel analysis. Int J Equity Health. 2010;(14):9. https://doi.org/10.1186/1475-9276-9-14.

    Article  Google Scholar 

  50. StataCorp. Stata: Release 14. Statistical Software. College Station: StataCorp LP; 2015.

    Google Scholar 

Download references

Acknowledgements

The authors expresses gratitude to the National Population Commission (NPC) [Nigeria], ICF International and MEASURE DHS Project for granting authorisation to analyse the datasets.

Funding

Not Applicable.

Author information

Authors and Affiliations

  1. Department of Demography and Social Statistics, Obafemi Awolowo University, Ile-Ife, Nigeria

    Bola Lukman Solanke, Funmilola Folasade Oyinlola, Olaoye James Oyeleye & Benjamin Bukky Ilesanmi

  2. Action Against Hunger, ACF-International, Damaturu, Yobe State, Nigeria

    Olaoye James Oyeleye

Authors
  1. Bola Lukman Solanke
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Funmilola Folasade Oyinlola
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Olaoye James Oyeleye
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Benjamin Bukky Ilesanmi
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

FFO developed the original concept. BLS modified the concept and reviewed literature. BLS, OJO and BBI analysed the data. All authors discussed the findings. All authors read through the manuscript for intellectual content. All authors read and approved the final manuscript.

Author information

BLS is a Senior Lecturer in Demography and Social Statistics, Obafemi Awolowo University, Ile-Ife, Nigeria. His research interests are fertility, contraception, and women’s health issues. FFO and BBI are doctoral students while OJO is a graduate student in the Department of Demography and Social Statistics, Obafemi Awolowo University, Ile-Ife, Nigeria.

Corresponding author

Correspondence to Bola Lukman Solanke.

Ethics declarations

Ethics approval and consent to participate

Study analysed secondary data. MEASURE DHS the custodian of the datasets authorised access to the data.

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 distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Solanke, B.L., Oyinlola, F.F., Oyeleye, O.J. et al. Maternal and community factors associated with unmet contraceptive need among childbearing women in Northern Nigeria. Contracept Reprod Med 4, 11 (2019). https://doi.org/10.1186/s40834-019-0093-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40834-019-0093-1

Keywords

Contraception and Reproductive Medicine

ISSN: 2055-7426

Contact us