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Contraceptive use in Eswatini: do contextual influences matter?

Published online by Cambridge University Press:  13 January 2020

Clifford Odimegwu
Affiliation:
Demography and Population Studies Programme, Schools of Social Sciences and Public Health, University of the Witwatersrand, South Africa
Garikayi B. Chemhaka*
Affiliation:
Demography and Population Studies Programme, Schools of Social Sciences and Public Health, University of the Witwatersrand, South Africa Department of Statistics and Demography, Faculty of Social Sciences, University of Eswatini, Eswatini
*
*Corresponding author. Email: [email protected]

Abstract

This study sought to investigate the determinants of current use of modern contraceptives beyond the individual level in Eswatini (formerly Swaziland). Previous studies have overlooked the role of community characteristics such as socioeconomic development, women’s empowerment and fertility norms in shaping contraceptive use. Hierarchical structured subsample data of 4112 sexually experienced women from the 2007 Eswatini Demographic Health Survey were analysed using multilevel logistic regression to identify factors contributing to community/cluster variations in women’s current use of modern contraceptives. Less than half (44.2%) of the sexually active women were using modern contraceptive methods in 2007. At the community level, the odds of contraceptive use decreased for rural women (AOR = 0.82, 95% CI: 0.68–0.98) and among women residing in communities with high-fertility norms (AOR = 0.77, 95% CI: 0.66–0.89). After adjusting for both individual- and community-level factors, no community-level variables considered for the study were significantly associated with contraceptive use. The findings highlight in all four models, from the empty to full model, that there is a small and decreasing significant variation in women’s contraceptive use across communities (MOR, 1.37–1.17). In 2007, the findings suggest individual rather than community factors account for some contextual variability in contraceptive use. The study proposes the use of ethnographic techniques to unravel community factors that promote modern contraceptive use in Eswatini.

Type
Research Article
Copyright
© Cambridge University Press 2020

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References

Andi, JR, Wamala, R, Ocaya, B and Kabagenyi, A (2014) Modern contraceptive use among women in Uganda: an analysis of trend and patterns (1995–2011). African Population Studies 28(2), 10091021.Google Scholar
Aremu, O (2013) The influence of socioeconomic status on women’s preferences for modern contraceptive providers in Nigeria: a multilevel choice modeling. Patient Preference and Adherence 7, 12131220.CrossRefGoogle ScholarPubMed
Bamiwuye, SO, De-Wet, N and Adedini, SA (2013) Linkages between autonomy, poverty and contraceptive use in two sub-Saharan African countries. African Population Studies 27(2), 164173.CrossRefGoogle Scholar
Benefo, KD (2010) Determinants of condom use in Zambia: a multilevel analysis. Studies in Family Planning 41(1), 1930.CrossRefGoogle ScholarPubMed
Bentley, R, Kavanagh, A and Smith, A (2009) Area disadvantage, socioeconomic position and women’s contraception use: a multilevel study in the UK. Journal of Family Planning and Reproductive Health Care 35(4), 221226.CrossRefGoogle ScholarPubMed
Bongaarts, J and Casterline, J (2012) Fertility transition: is sub-Saharan Africa different? Population and Development Review 38(s1), 153168.CrossRefGoogle Scholar
Bongaarts, J and Watkins, SC (1996) Social interactions and contemporary fertility transitions. Population and Development Review 22(4), 639682.CrossRefGoogle Scholar
Caldwell, JC and Caldwell, P (2001) Regional paths to fertility transition. Journal of Population Research 18(2), 91117.CrossRefGoogle Scholar
Carle, AC (2009) Fitting multilevel models in complex survey data with design weights: recommendations. BMC Medical Research Methodology 9(49), 113.CrossRefGoogle ScholarPubMed
Carter, AT (2001) Social processes and fertility change: anthropological perspectives. In Casterline, JB (ed.) Diffusion Processes and Fertility Transition. National Academies Press, Washington, DC, pp. 3965.Google Scholar
Cleland, J and Ali, MM (2004) Reproductive consequences of contraceptive failure in 19 developing countries. Obstetrics & Gynecology 104(2), 314320.Google ScholarPubMed
Clements, S, Baschieri, A and Hennink, M (2004) Explaining areal variations in contraceptive use in East Africa. S3RI Applications & Policy Working Paper A04/01. URL: https://eprints.soton.ac.uk/8153/ (accessed 7th January 2019).Google Scholar
Colleran, H and Mace, R (2015) Social network- and community-level influences on contraceptive use: evidence from rural Poland. Proceedings of the Royal Society B 282(1807), doi: 10.1098/rspb.2015.0398.Google ScholarPubMed
CSO (2008) Swaziland Demographic and Health Survey 2006–07. Central Statistical Office [CSO] and Macro International Inc, Mbabane.Google Scholar
CSO (2010) Population and Housing Census 2007. Volume 4: Fertility, Nuptiality, Disability and Mortality. Central Statistical Office [CSO], Government of Swaziland, Mbabane.Google Scholar
CSO and UNICEF (2011) Swaziland Multiple Indicator Cluster Survey 2010. Final Report. Central Statistical Office [CSO] and United Nations Children’s Fund [UNICEF], Mbabane.Google Scholar
DeRose, LF and Ezeh, AC (2010) Decision-making patterns and contraceptive use: evidence from Uganda. Population Research and Policy Review 29(3), 423439.CrossRefGoogle Scholar
Do, M and Kurimoto, N (2012) Women’s empowerment and choice of contraceptive methods in selected African countries. International Perspectives on Sexual and Reproductive Health 38(1), 2333.Google ScholarPubMed
Ejembi, CL, Dahiru, T and Aliyu, AA (2015) Contextual factors influencing modern contraceptive use in Nigeria. DHS Working Papers No. 120. ICF International, Rockville, MD. URL: https://dhsprogram.com/pubs/pdf/WP120/WP120.pdf (accessed 6th January 2019).Google Scholar
Elfstrom, KM and Stephenson, R (2012) The role of place in shaping contraceptive use among women in Africa. PLoS One 7, e40670.Google ScholarPubMed
Entwisle, B (2007) Putting people into place. Demography 44(4), 687703.CrossRefGoogle ScholarPubMed
Ezeh, AC (1997) Polygyny and reproductive behavior in Sub-Saharan Africa: a contextual analysis. Demography 34(3), 355368.CrossRefGoogle ScholarPubMed
Ferede, T (2013) Multilevel modelling of modern contraceptive use among rural and urban population of Ethiopia. American Journal of Mathematics and Statistics 3(1), 116.Google Scholar
Hank, K (2002) Regional social contexts and individual fertility decisions: a multilevel analysis of first and second births in Western Germany. European Journal of Population 18(4), 281299.CrossRefGoogle Scholar
Hermalin, AI (1986) The multilevel approach: theory and concepts. Population Studies Addendum Manual IX. The Methodology for Measuring the Impact of Family Planning Programs on Fertility. United Nations, New York.Google Scholar
Janevic, T, Sarah, P, Leyla, I and Elizabeth, B (2012) Individual and community level socioeconomic inequalities in contraceptive use in 10 Newly Independent States: a multilevel cross-sectional analysis. International Journal for Equity in Health 11, 69.Google ScholarPubMed
Kaggwa, EB, Diop, N and Storey, JD (2008) The role of individual and community normative factors: a multilevel analysis of contraceptive use among women in union in Mali. International Family Planning Perspectives 34(2), 7988.CrossRefGoogle ScholarPubMed
Kravdal, Ø (2006) A simulation-based assessment of the bias produced when using averages from small DHS clusters as contextual variables in multilevel models. Demographic Research 15, 120.CrossRefGoogle Scholar
Lule, EL (1991) Marriage and marital fertility in rural Swaziland. In Adepoju, A (ed.) Swaziland: Population, Economy, Society. United Nations Population Fund, New York.Google Scholar
MEPD (2002) National Population Policy Framework for Swaziland. National Population Council, Ministry of Economic Planning and Development [MEPD], Government of Swaziland, Mbabane.Google Scholar
MEPD (2012) Swaziland Country Report: ICPD at 2014 and Beyond. Ministry of Economic Planning and Development [MEPD], Government of Swaziland, Mbabane.Google Scholar
Ministry of Health (1990) Swaziland 1988 Family Health Survey: Final Report. Centers for Disease Control, Atlanta, Georgia.Google Scholar
Montgomery, MR and Casterline, JB (1996) Social learning, social influence and new models of fertility. Population and Development Review 22, 151175.CrossRefGoogle Scholar
Montgomery, MR and Hewett, PC (2005) Urban poverty and health in developing countries: household and neighborhood effects. Demography 42(3), 397425.CrossRefGoogle ScholarPubMed
Moursund, A and Kravdal, Ø (2003) Individual and community effects of women’s education and autonomy on contraceptive use in India. Population Studies 57(3), 285301.Google ScholarPubMed
Rabe-Hesketh, S and Skrondal, A (2012) Multilevel and Longitudinal Modeling Using Stata, Volumes I and II, Third Edition. Stata Press, College Station, TX.Google Scholar
Reed, H, Briere, R and Casterline, J (eds) (1999) The Role of Diffusion Processes in Fertility Change in Developing Countries: Report of a Workshop. National Academies Press, Washington, DC.Google Scholar
Rodriguez, G and Goldman, N (1995) An assessment of estimation procedures for multilevel models with binary responses. Journal of the Royal Statistical Society. Series A (Statistics in Society) 158, 7389.Google Scholar
Smith, RB (2011) Multilevel Modeling of Social Problems. A Causal Perspective. Springer, London.CrossRefGoogle Scholar
StataCorp (2015) Stata Statistical Software: Release 14. StataCorp LP, College Station, TX.Google Scholar
Stephenson, R, Baschieri, A, Clements, S, Hennink, M and Nyovani, M (2007) Contextual influences on modern contraceptive use in sub-Saharan Africa. American Journal of Public Health 97(7), 12331240.CrossRefGoogle ScholarPubMed
UNFPA (2016) Universal Access to Reproductive Health: Progress and Challenges. United Nations, New York. URL: https://www.unfpa.org/publications/universal-access-reproductive-health-progress-and-challenges?page=0%2C0%2C2 (accessed 4th January 2019).Google Scholar
United Nations (2014) Programme of Action of the International Conference on Population Development: 20th Anniversary Edition. United Nations Population Fund [UNFPA], New York. URL: https://www.unfpa.org/publications/international-conference-population-and-development-programme-action (accessed 4th January 2019).Google Scholar
Upadhyay, UD and Karasek, D (2012) Women’s empowerment and ideal family size: an examination of dhs empowerment measures in Sub-Saharan Africa. International Perspectives on Sexual and Reproductive Health 38(2), 7889.CrossRefGoogle ScholarPubMed
Van Lith, LM, Yahner, M and Bakamjian, L (2013) Women’s growing desire to limit births in sub-Saharan Africa: meeting the challenge. Global Health: Science and Practice 1(1), 97107.Google ScholarPubMed
Wang, W, Alva, S, Winter, R and Burgert, C (2013) Contextual influences of modern contraceptive use among rural women in Rwanda and Nepal. DHS Analytical Studies No. 41. ICF International, Calverton, MD. URL: https://www.dhsprogram.com/pubs/pdf/AS41/AS41.pdf (accessed 20th January 2019).Google Scholar
Warren, CW, Johnson, JT, Gule, G, Hlophe, E and Kraushaar, D (1992) The determinants of fertility in Swaziland. Population Studies 46(1), 517.Google Scholar
Ziyani, IS, Ehlers, VJ and King, LJ (2003) Socio-cultural deterrents to family planning practices among Swazi women. Curationis 26(4), 3950.CrossRefGoogle ScholarPubMed