IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v10y2023i10p146-155.html
   My bibliography  Save this article

Predicting Maternal Complication among Underserved Women based on the Demographic Composition

Author

Listed:
  • Simisola I. Adamo

    (Department of Analytics, University of Dallas)

Abstract

Maternal complications remain a significant public health issue in Nigeria, particularly among underserved women. Underserved women, particularly those from low-income backgrounds, are at higher risk of maternal complications due to limited access to quality healthcare services. This study aimed to identify the factors that contribute to the maternal complications among underserved women based on the demographic composition. The research was carried out in Ondo State, Nigeria. The research designed a well-structured questionnaire (primary data), and each copy of the questionnaire was distributed among the pregnant women who visited the maternal centers in the state. The data collected was collected in the urban city of Ondo State, Nigeria. The participants are pregnant women within the reproductive age (15 – 49 years) and their gestation period are between 10 to 36 weeks or women who have undergo caesarean section before. The population of the pregnant women varied according to the maternity centers. The study was analyzed using logistic regression analysis. The study concluded that maternal complications are multifactorial, which means that a number of different variables, including maternal age, pre-existing medical conditions, prenatal care use, access to healthcare facilities, and level of education. While occupation may be one of the contributing factors, in the absence of other pertinent factors, it may not independently predict maternal complications. The study, therefore, recommended that it is crucial to improve access to prenatal care, tackle socioeconomic disparities, and enhance cultural competence in healthcare delivery.

Suggested Citation

  • Simisola I. Adamo, 2023. "Predicting Maternal Complication among Underserved Women based on the Demographic Composition," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(10), pages 146-155, October.
    • Handle: RePEc:bjc:journl:v:10:y:2023:i:10:p:146-155
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-10-issue-10/146-155.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijrsi/articles/predicting-maternal-complication-among-underserved-women-based-on-the-demographic-composition/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:pri:cheawb:case_paxson_economic_status_paper is not listed on IDEAS
    2. repec:pri:cheawb:case_paxson_economic_status_paper.pdf is not listed on IDEAS
    3. Katharina Syböck & Beda Hartmann & Sylvia Kirchengast, 2023. "Maternal Prepregnancy Obesity Affects Foetal Growth, Birth Outcome, Mode of Delivery, and Miscarriage Rate in Austrian Women," IJERPH, MDPI, vol. 20(5), pages 1-13, February.
    4. Anne Case & Darren Lubotsky & Christina Paxson, 2002. "Economic Status and Health in Childhood: The Origins of the Gradient," American Economic Review, American Economic Association, vol. 92(5), pages 1308-1334, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diane Coffey & Ashwini Deshpande & Jeffrey Hammer & Dean Spears, 2019. "Local Social Inequality, Economic Inequality, and Disparities in Child Height in India," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1427-1452, August.
    2. Chanyoung Lee & Peter F. Orazem, 2010. "Lifetime health consequences of child labor in Brazil," Research in Labor Economics, in: Child Labor and the Transition between School and Work, pages 99-133, Emerald Group Publishing Limited.
    3. Okada, Keisuke, 2012. "The effects of female HIV/AIDS status on fertility and child health in Cambodia," Journal of Asian Economics, Elsevier, vol. 23(5), pages 560-570.
    4. Amuedo-Dorantes, Catalina & Arenas-Arroyo, Esther & Sevilla, Almudena, 2018. "Immigration enforcement and economic resources of children with likely unauthorized parents," Journal of Public Economics, Elsevier, vol. 158(C), pages 63-78.
    5. Verónica Amarante & Marco Manacorda & Edward Miguel & Andrea Vigorito, 2016. "Do Cash Transfers Improve Birth Outcomes? Evidence from Matched Vital Statistics, Program, and Social Security Data," American Economic Journal: Economic Policy, American Economic Association, vol. 8(2), pages 1-43, May.
    6. Fabian Kosse & Thomas Deckers & Pia Pinger & Hannah Schildberg-Hörisch & Armin Falk, 2020. "The Formation of Prosociality: Causal Evidence on the Role of Social Environment," Journal of Political Economy, University of Chicago Press, vol. 128(2), pages 434-467.
    7. Eric French & John Bailey Jones, 2017. "Health, Health Insurance, and Retirement: A Survey," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 383-409, September.
    8. Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
    9. von Hinke Kessler Scholder S, 2009. "Genetic Markers as Instrumental Variables: An Application to Child Fat Mass and Academic Achievement," Health, Econometrics and Data Group (HEDG) Working Papers 09/25, HEDG, c/o Department of Economics, University of York.
    10. Svetlana Pashchenko & Ponpoje (Poe) Porapakkarm & Mariacristina De Nardi, 2017. "The Lifetime Costs of Bad Health," 2017 Meeting Papers 533, Society for Economic Dynamics.
    11. R Todd Jewell & Maximo Rossi & Patricia Triunfo, 2006. "El Estado de Salud de los Jóvenes Uruguayos," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 43(128), pages 235-250.
    12. Brandily, Paul & Brébion, Clément & Briole, Simon & Khoury, Laura, 2021. "A poorly understood disease? The impact of COVID-19 on the income gradient in mortality over the course of the pandemic," European Economic Review, Elsevier, vol. 140(C).
    13. Richard Blundell & Jack Britton & Monica Costa Dias & Eric French, 2023. "The Impact of Health on Labor Supply near Retirement," Journal of Human Resources, University of Wisconsin Press, vol. 58(1), pages 282-334.
    14. Fertig Michael & Tamm Marcus, 2010. "Always Poor or Never Poor and Nothing in Between? Duration of Child Poverty in Germany," German Economic Review, De Gruyter, vol. 11(2), pages 150-168, May.
    15. Pritha Dev & Blessing U. Mberu & Roland Pongou, 2016. "Ethnic Inequality: Theory and Evidence from Formal Education in Nigeria," Economic Development and Cultural Change, University of Chicago Press, vol. 64(4), pages 603-660.
    16. Mitrut, Andreea & Wolff, François-Charles, 2011. "The impact of legalized abortion on child health outcomes and abandonment. Evidence from Romania," Journal of Health Economics, Elsevier, vol. 30(6), pages 1219-1231.
    17. Patrick Bayer & Stephen L. Ross, 2006. "Identifying Individual and Group Effects in the Presence of Sorting: A Neighborhood Effects Application," Working papers 2006-13, University of Connecticut, Department of Economics, revised Jan 2009.
    18. Corak, Miles & Curtis, Lori & Phipps, Shelley, 2010. "Economic Mobility, Family Background, and the Well-Being of Children in the United States and Canada," IZA Discussion Papers 4814, Institute of Labor Economics (IZA).
    19. Aline Bütikofer & René Karadakic & Kjell G. Salvanes, 2021. "Income Inequality and Mortality: A Norwegian Perspective," Fiscal Studies, John Wiley & Sons, vol. 42(1), pages 193-221, March.
    20. Datta Gupta, Nabanita & Lausten, Mette & Pozzoli, Dario, 2012. "Does Mother Know Best? Parental Discrepancies in Assessing Child Functioning," IZA Discussion Papers 6962, Institute of Labor Economics (IZA).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjc:journl:v:10:y:2023:i:10:p:146-155. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Renu Malsaria (email available below). General contact details of provider: https://www.rsisinternational.org/journals/ijrsi/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.