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An evolution of socioeconomic related inequality in teenage pregnancy and childbearing in Malawi

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  • Gowokani Chijere Chirwa
  • Jacob Mazalale
  • Gloria Likupe
  • Dominic Nkhoma
  • Levison Chiwaula
  • Jesman Chintsanya

Abstract

Background: Teenage pregnancies and childbearing are important health concerns in low-and middle-income countries (LMICs) including Malawi. Addressing these challenges requires, among other things, an understanding of the socioeconomic determinants of and contributors to the inequalities relating to these outcomes. This study investigated the trends of the inequalities and decomposed the underlying key socioeconomic factors which accounted for the inequalities in teenage pregnancy and childbearing in Malawi. Methods: The study used the 2004, 2010 and 2015–16 series of nationally representative Malawi Demographic Health Survey covering 12,719 women. We used concentration curves to examine the existence of inequalities, and then quantified the extent of inequalities in teenage pregnancies and childbearing using the Erreygers concentration index. Finally, we decomposed concentration index to find out the contribution of the determinants to socioeconomic inequality in teenage pregnancy and childbearing. Results: The teenage pregnancy and childbearing rate averaged 29% (p

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  • Gowokani Chijere Chirwa & Jacob Mazalale & Gloria Likupe & Dominic Nkhoma & Levison Chiwaula & Jesman Chintsanya, 2019. "An evolution of socioeconomic related inequality in teenage pregnancy and childbearing in Malawi," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-16, November.
    • Handle: RePEc:plo:pone00:0225374
    DOI: 10.1371/journal.pone.0225374
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    References listed on IDEAS

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    1. Heckley, Gawain & Gerdtham, Ulf-G. & Kjellsson, Gustav, 2016. "A general method for decomposing the causes of socioeconomic inequality in health," Journal of Health Economics, Elsevier, vol. 48(C), pages 89-106.
    2. Kjellsson, Gustav & Gerdtham, Ulf-G., 2013. "On correcting the concentration index for binary variables," Journal of Health Economics, Elsevier, vol. 32(3), pages 659-670.
    3. Erreygers, Guido & Van Ourti, Tom, 2011. "Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: A recipe for good practice," Journal of Health Economics, Elsevier, vol. 30(4), pages 685-694, July.
    4. Wagstaff, Adam & van Doorslaer, Eddy & Watanabe, Naoko, 2003. "On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam," Journal of Econometrics, Elsevier, vol. 112(1), pages 207-223, January.
    5. Judith R Glynn & Bindu S Sunny & Bianca DeStavola & Albert Dube & Menard Chihana & Alison J Price & Amelia C Crampin, 2018. "Early school failure predicts teenage pregnancy and marriage: A large population-based cohort study in northern Malawi," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-17, May.
    6. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    7. World Bank, 2017. "World Development Indicators 2017," World Bank Publications - Books, The World Bank Group, number 26447, December.
    8. Erreygers, Guido, 2009. "Correcting the Concentration Index," Journal of Health Economics, Elsevier, vol. 28(2), pages 504-515, March.
    9. Pulok, Mohammad Habibullah & Sabah, Md Nasim-Us Sabah & Uddin, Jalal & Enemark, Ulrika, 2015. "Progress in utilization of antenatal and delivery care services in Bangladesh: Where does the equity gap lie?," MPRA Paper 63496, University Library of Munich, Germany.
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    Cited by:

    1. Jesman Chintsanya & Monica Magadi & Gloria Likupe, 2021. "A Multilevel Analysis of Risk and Protective Factors for Adolescent Childbearing in Malawi," Social Sciences, MDPI, vol. 10(8), pages 1-19, August.

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