Skip to main content
Log in

A Longitudinal Multilevel Analysis of the Effects of Contraceptive Failures on Unintended Pregnancies among Women in Urban Nigeria

  • Original Article
  • Published:
Journal of Urban Health Aims and scope Submit manuscript

Abstract

Unintended pregnancy is a global public health concern. However, the effect of contraceptive failure on unintended pregnancy remains unclear in Nigeria. We undertook a longitudinal analysis to examine the effect of contraceptive failure on unintended pregnancy among urban women in Nigeria. We used panel data from the Nigerian Urban Reproductive Health Initiative. The Measurement, Learning and Evaluation program conducted the surveys among a cohort of women aged 15–49 who were first interviewed at baseline in 2010/2011 and followed up at endline in 2014/2015. Analytic sample was 4140 women aged 15–49 who ever used contraceptives. We fitted three-level multilevel binary logistic regression models estimated with GLLAMM. The study established evidence that there is a significant effect of contraceptive failure on unintended pregnancy among urban women in Nigeria. The positive effect of between-person contraceptive failure indicates that respondents who experienced more contraceptive failure than the average in the sample had 5.26 times higher odds of unintended pregnancy (OR = 5.26; p-value < 0.001). Results also established a significant effect of within-person contraceptive failures among the respondents. Findings suggest there is evidence of a significant longitudinal effect of contraceptive failure on unintended pregnancy in urban Nigeria. Efforts to reduce unintended pregnancy must include interventions to address the problem of contraceptive failure among urban women in Nigeria.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Data Availability

Since we signed a data-use agreement with Carolina Population Center (CPC), we are not allowed to share these data with other researchers who might want to replicate or expand our studies. To access these data, users must submit a request for access to the CPC for review and approval. Information on how to secure access to this data is available at the CPC data portal (data.cpc.unc.edu).

References

  1. Ameyaw EK, Budu E, Sambah F, Baatiema L, Appiah F, Seidu A-A, et al. Prevalence and determinants of unintended pregnancy in sub-Saharan Africa: a multi-country analysis of demographic and health surveys. PLoS ONE. 2019;14:e0220970. https://doi.org/10.1371/journal.pone.0220970.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Yaya S, Amouzou A, Uthman OA, Ekholuenetale M, Bishwajit G, Udenigwe O, et al. Prevalence and determinants of terminated and unintended pregnancies among married women: analysis of pooled cross-sectional surveys in Nigeria. BMJ Glob Health. 2018;3:e000707. https://doi.org/10.1136/bmjgh-2018-000707.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Bearak J, Popinchalk A, Ganatra B, Moller A-B, Tunçalp Ö, Beavin C, et al. Unintended pregnancy and abortion by income, region, and the legal status of abortion: estimates from a comprehensive model for 1990–2019. Lancet Glob Health. 2020;8:e1152–61. https://doi.org/10.1016/S2214-109X(20)30315-6.

    Article  PubMed  Google Scholar 

  4. UNFPA. State of World Population 2022: Seeing the unseen: the case for action in the neglected crisis of unintended pregnancy. https://reliefweb.int/report/world/state-world-population-2022-seeing-unseen-case-action-neglected-crisis-unintended (2022). Accessed 30 Mar 2022.

  5. UNDP. The SDGs in action. https://www.undp.org/sustainable-development-goals/no-poverty?gclid=Cj0KCQiA3eGfBhCeARIsACpJNU_7dX_wxDuow0catfAn6P1PT1zB_EnTsg_Ca4L0op7UekITcdj4zqUaAtwLEALw_wcB (2023). Accessed 11/20/2023

  6. Adedini SA, Mberu BU, Alex-Ojei CA, Ntoimo LFC. Exploring barriers and facilitators to integrated policy formulation and implementation of family planning and urban development programmes in Nigeria. Health Res Policy Syst. 2022;20:115. https://doi.org/10.1186/s12961-022-00924-0.

    Article  PubMed  PubMed Central  Google Scholar 

  7. WHO. Trends in maternal mortality 2000 to 2017: estimates by WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Division (2019). New York, NY:United Nations Population Fund.

  8. Amuka JI, Onyechi TG, Asogwa FO, Agu AO. Couples’ social characteristics, family planning, and unwanted pregnancy risk: evidence from two Nigerian Demographic and Health Surveys. Afr J Reprod Health. 2021;25:51–9. https://doi.org/10.4314/ajrh.v25i3.

    Article  PubMed  Google Scholar 

  9. Izugbara CO, Wekesah FM, Adednini SA. Maternal health in Nigeria: a situation update. African population and health research center (APHRC), 2016. Nairobi, Kenya. https://doi.org/10.13140/RG.2.1.1291.9924.

  10. WHO, UNICEF, UNFPA, & World Bank. 2019. Trends in maternal mortality: 2000 to 2017 WHO, Geneva. New York, NY: United Nations Population Fund.

  11. Adedini SA, Babalola S, Ibeawuchi C, Omotoso O, Akiode A, Odeku M. Role of religious leaders in promoting contraceptive use in Nigeria: evidence from the Nigerian Urban Reproductive Health Initiative. Glob Health Sci Pract. 2018;6:500–14. https://doi.org/10.9745/GHSP-D-18-00135.

    Article  PubMed  PubMed Central  Google Scholar 

  12. National Population Commission (NPC) [Nigeria] and ICF. 2019. Nigeria demographic and health survey 2018. Abuja, Nigeria, and Rockville, Maryland, USA: NPC and ICF.

  13. Sinai I, Omoluabi E, Jimoh A, Jurczynska K. Unmet need for family planning and barriers to contraceptive use in Kaduna, Nigeria: culture, myths and perceptions. Cult Health Sex. 2020;22:1253–68. https://doi.org/10.1080/13691058.2019.1672894.

    Article  PubMed  Google Scholar 

  14. Lamidi EO. State variations in women’s socioeconomic status and use of modern contraceptives in Nigeria. PLoS ONE. 2015;10:e0135172. https://doi.org/10.1371/journal.pone.0135172.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Foster DG. The problems with a poverty argument for long-acting reversible contraceptive promotion. Am J Obstet Gynecol. 2020;222:S861–3. https://doi.org/10.1016/j.ajog.2020.01.051.

    Article  PubMed  Google Scholar 

  16. Radovich E, Dennis ML, Barasa E, Cavallaro FL, Wong KL, Borghi J, et al. Who pays and how much? A cross-sectional study of out-of-pocket payment for modern contraception in Kenya. BMJ Open. 2019;9:e022414. https://doi.org/10.1136/bmjopen-2018-022414.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Le Guen M, Schantz C, Régnier-Loilier A, de La Rochebrochard E. Reasons for rejecting hormonal contraception in Western countries: a systematic review. Soc Sci Med. 2021;284:114247. https://doi.org/10.1016/j.socscimed.2021.114247.

    Article  PubMed  Google Scholar 

  18. Schwarz J, Dumbaugh M, Bapolisi W, Ndorere MS, Mwamini M-C, Bisimwa G, et al. “So that’s why I’m scared of these methods”: locating contraceptive side effects in embodied life circumstances in Burundi and eastern Democratic Republic of the Congo. Soc Sci Med. 2019;220:264–72. https://doi.org/10.1016/j.socscimed.2018.09.030.

    Article  PubMed  Google Scholar 

  19. 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 

  20. Anguzu R, Sempeera H, Sekandi JN. High parity predicts use of long-acting reversible contraceptives in the extended postpartum period among women in rural Uganda. Contracept Reprod Med. 2018;3:6. https://doi.org/10.1186/s40834-018-0059-8.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Riley C, Garfinkel D, Thanel K, Esch K, Workalemahu E, Anyanti J, et al. Getting to FP2020: harnessing the private sector to increase modern contraceptive access and choice in Ethiopia, Nigeria, and DRC. PLoS ONE. 2018;13:e0192522. https://doi.org/10.1371/journal.pone.0192522.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Wasswa R, Kabagenyi A, Atuhaire L. Determinants of unintended pregnancies among currently married women in Uganda. J Health Popul Nutr. 2020;39:15. https://doi.org/10.1186/s41043-020-00218-7.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Arisukwu O, Igbolekwu CO, Efugha I, Nwogu JN, Osueke NO, Oyeyipo E. Knowledge and perception of emergency contraceptives among adolescent girls in Imo State, Nigeria. Sex Cult. 2020;24:273–90. https://doi.org/10.1007/s12119-019-09639-x.

    Article  Google Scholar 

  24. Chandra-Mouli V, Akwara E. Improving access to and use of contraception by adolescents: what progress has been made, what lessons have been learnt, and what are the implications for action? Best Pract Res Clin Obstet Gynaecol. 2020;66:107–18. https://doi.org/10.1016/j.bpobgyn.2020.04.003.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Wattimena JC, Black K, Bernays S. 223. “Make all health services youth friendly”: a qualitative study exploring the provision of sexual and reproductive health care for young women in Maluku, Indonesia. J Adolesc Health. 2020;66:113. https://doi.org/10.1016/j.jadohealth.2019.11.226.

    Article  Google Scholar 

  26. Guttmacher Institute. Contraceptive effectiveness in the United States. Fact sheet, issue. 2020. New York, NY: Guttmacher. https://www.guttmacher.org/fact-sheet/contraceptive-effectiveness-united-states

  27. Adedini SA, LFC Ntoimo, CA Alex-Ojei. Sub-national analysis of contraceptive discontinuation among women in Nigeria: evidence from the demographic and health survey. DHS Working Papers No. 194. Rockville, Maryland, USA: ICF 2023.

  28. National Population Commission (NPC) [Nigeria] and ICF. Nigeria Demographic and Health Survey 2018. Abuja, Nigeria, and Rockville, Maryland, USA: NPC and ICF 2019.

  29. Adedini SA, Omisakin OA, Somefun OD. Trends, patterns and determinants of long-acting reversible methods of contraception among women in sub-Saharan Africa. PLoS One. 2019;14(6). https://doi.org/10.1371/journal.pone.0217574

  30. Babalola S, John N, Ajao B, Speizer IS. Ideation and intention to use contraceptives in Kenya and Nigeria. Demogr Res. 2015;33:211–38. https://doi.org/10.4054/DemRes.2015.33.8.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Singh LM, Prinja S, Rai P, Siddhanta A, Singh AK, Sharma A, et al. Determinants of modern contraceptive use and unmet need for family planning among the urban poor. Open J Soc Sci. 2020;8:451–73. https://doi.org/10.4236/jss.2020.85031.

    Article  Google Scholar 

  32. Measurement, Learning and Evaluation Project Nigeria Team. Evaluation of the Nigerian Urban Reproductive Health Initiative (NURHI) Program. Stud Fam Plann. 2017;48:253–68. https://doi.org/10.1111/sifp.12027.

    Article  Google Scholar 

  33. Clarke P. Theory and methods: when can group level clustering be ignored? Multilevel models versus single-level models with sparse data. J Epidemiol Community Health. 2008;1979–62:752–8.

    Article  Google Scholar 

  34. StataCorp. Stata: Release 16. Statistical Software. College Station, TX: StataCorp LLC 2019.

  35. Rabe-Hesketh S, Skrondal A, Pickles A. Reliable estimation of generalized linear mixed models using adaptive quadrature. Stata J. 2002;2:1–21. https://doi.org/10.1177/1536867X0200200101.

    Article  Google Scholar 

  36. Rabe-Hesketh S, Skrondal A, Pickles A. Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects. J Econom. 2005;128:301–23. https://doi.org/10.1016/j.jeconom.2004.08.017.

    Article  MathSciNet  Google Scholar 

  37. Curran PJ, Bauer DJ. The disaggregation of within-person and between-person effects in longitudinal models of change. Annu Rev Psychol. 2011;62:583–619. https://doi.org/10.1146/annurev.psych.093008.100356.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Bradley SE, Polis CB, Bankola A, Croft T. The impact of contraceptive failure on unintended births and induced abortions: estimates and strategies for reduction. ICF Macro Calverton^ eMaryland Maryland. 2011. Rockville, Maryland: The Demographic and Health Surveys.

  39. Cleland J, Ali MM. Reproductive consequences of contraceptive failure in 19 developing countries. Obstet Gynecol. 2004;104:314–20. https://doi.org/10.1097/01.AOG.0000134789.73663.fd.

    Article  PubMed  Google Scholar 

  40. Khan MN, Islam MM. Exploring rise of pregnancy in Bangladesh resulting from contraceptive failure. Sci Rep. 2022;12:2353. https://doi.org/10.1038/s41598-022-06332-2.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  41. Adedini SA. Nigeria’s cities are growing fast: family planning must be part of urban development plans. 2023 [cited 20 Nov 2023].   https://www.downtoearth.org.in/blog/africa/nigeria-s-cities-are-growing-fast-family-planning-must-be-part-of-urban-development-plans-88193

  42. Duminy J, Cleland J, Harpham T, Montgomery MR, Parnell S, Speizer IS. Urban family planning in low- and middle-income countries: a critical scoping review. Front Glob Womens Health. 2021;2. Available: https://www.frontiersin.org/articles/10.3389/fgwh.2021.749636. Accessed 11/20/2023.

  43. Harpham T, Smith R, LeGrand T, Cleland J, Duminy J, Parnell S, et al. Bridging the gaps sector to sector and research to policy: linking family planning to urban development. Dev Pract. 2021;31:794–804. https://doi.org/10.1080/09614524.2021.1937560.

    Article  Google Scholar 

  44. Harpham T, Tetui M, Smith R, Okwaro F, Biney A, Helzner J, et al. Urban family planning in sub-Saharan Africa: an illustration of the cross-sectoral challenges of urban health. J Urban Health. 2022;99:1044–53. https://doi.org/10.1007/s11524-022-00649-z.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Guttmacher Institute. Abortion in Nigeria Fact sheet, Issue. 2015. https://www.guttmacher.org/fact-sheet/abortion-nigeria. Accessed 11/20/2023.

  46. Onukwugha FI, Magadi MA, Sarki AM, Smith L. Trends in and predictors of pregnancy termination among 15–24 year-old women in Nigeria: a multi-level analysis of demographic and health surveys 2003–2018. BMC Pregnancy Childbirth. 2020;20:550. https://doi.org/10.1186/s12884-020-03164-8.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Bradley SEK, Polis CB, Bankole A, Croft T. Global contraceptive failure rates: who is most at risk? Stud Fam Plann. 2019;50:3–24. https://doi.org/10.1111/sifp.12085.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Adedini SA, Odimegwu C, Imasiku ENS, Ononokpono DN, Ibisomi L. Regional variations in infant and child mortality in Nigeria: a multilevel analysis. J Biosoc Sci. 2015;47:165–87. https://doi.org/10.1017/S0021932013000734.

    Article  PubMed  Google Scholar 

  49. Ahinkorah BO. Individual and contextual factors associated with mistimed and unwanted pregnancies among adolescent girls and young women in selected high fertility countries in sub-Saharan Africa: a multilevel mixed effects analysis. PLoS ONE. 2020;15:e0241050. https://doi.org/10.1371/journal.pone.0241050.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Ononokpono DN, Odimegwu CO, Imasiku E, Adedini S. Contextual determinants of maternal health care service utilization in Nigeria. Women Health. 2013;53:647–68. https://doi.org/10.1080/03630242.2013.826319.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The data analyzed for this research was made possible with support from the Bill & Melinda Gates Foundation (BMGF) under the Measurement, Learning & Evaluation (MLE) project for the Urban Reproductive Health Project, coordinated by JHU-CCP. The authors’ views are not necessarily those of the BMGF or the MLE project. Research reported in this study has been supported by the National Institute of Child Health and Human Development under Award Number T32HD101390. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Olusola A. Omisakin.

Additional information

Publisher's Note

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

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Omisakin, O.A., Adedini, S.A. A Longitudinal Multilevel Analysis of the Effects of Contraceptive Failures on Unintended Pregnancies among Women in Urban Nigeria. J Urban Health 101, 193–204 (2024). https://doi.org/10.1007/s11524-023-00819-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11524-023-00819-7

Keywords

Navigation