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Social Status as Predictor of Pregnant Women Attendance at Antenatal Care

Received: 30 December 2020    Accepted: 9 January 2021    Published: 25 January 2021
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Abstract

Objectives: to assess the influence of social status of women on their attendance at antenatal care (ANC) in North Benin context in 2016. Methods: A cross-sectional study was conducted from November 17th to December 16th, 2016 on a sample of 465 women who had delivered in the past few days before the survey. A structured and pre-tested questionnaire was used to collect information concerning their socio-demographic, socio-cultural, individual and community resources, and pregnancy complications. Results: Factors influencing the attendance at ANC in both univariate and multivariate analysis were number of pregnancy, the parity, the existence of a pathological obstetric history, the relationship with the head of household, the decision-making power to attend ANC, profession, income, woman's knowledge of ANC and some organizational factors (appropriateness of appointment days and waiting time). So, controlling for others factors and relative to women with the first pregnancy, women with the fifth pregnancy had 51.572 fold (95%IC=[7.93 – 335.28]) higher odd to be non attendance to antenatal care. Conclusion: Sociocultural, political and institutional factors should be taken into account in order to improve women’s attendance at antenatal care in North Benin.

Published in Central African Journal of Public Health (Volume 7, Issue 1)
DOI 10.11648/j.cajph.20210701.15
Page(s) 40-46
Creative Commons

This is an Open Access article, 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 or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Antenatal Care, Attendance, Utilization, Social Status, Parakou, Benin

References
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[3] World Health Organisation (WHO). Maternal Mortality. Data Situation by Country, Global Health Observatory (GHO).
[4] Dowswell T, Carroli G, Duley L, et al. Alternative versus standard packages of antenatal care for low-risk pregnancy. Cochrane Database of Systematic Reviews 2015; i–iii; 1–80.
[5] Bergsjø P. Est-ce que les soins prénatals aident à réduire la morbidité et la mortalité maternelle?
[6] Raatikainen K, Heiskanen N, Heinonen S. Under-attending free antenatal care is associated with adverse pregnancy outcomes. BMC Public Health; 7.
[7] Institut National de la Statistique et de l’Analyse Economique (INSAE), Macro I. Enquête Démographique et de Santé du Bénin 2011-2012. Calverton, Maryland (USA): INSAE et ICF International, 2013.
[8] Titaley C, Dibley M, Roberts C. Factors associated with underutilization of antenatal care services in Indonesia: results of Indonesia Demographic and Health Survey 2002/2003 and 2007. BMC Public Health 2010; 10: 1–10.
[9] Tsegay Y, Gebrehiwot T, Goicolea I, et al. Determinants of antenatal and delivery care utilization in Tigray region, Ethiopia: a cross-sectional study. International Journal for Equity in Health 2013; 12: 1–10.
[10] Niang M. Le non-recours aux services de soins prénatals: expériences de femmes vivant dans la commune rurale de Kokologho au Burkina Faso. Master en Santé communautaire, Université Laval, 2014.
[11] Babitsch B, Gohl D, von Lengerke T. Re-revisiting Andersen’s Behavioral Model of Health Services Use: a systematic review of studies from 1998–2011. GMS Psychosocial Medecine 2012; 2012: Doc 11.
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[14] Direction Départementale de la Santé (DDS Borgou/Alibori). Annuaire statistique 2015. Rapport Annuel, Parakou, Bénin: CSPIR/ DDS Borgou/Alibori, 2016.
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  • APA Style

    Agonnoudé Togbédji Maurice, Assogba Abdul Koudous, Ahouignan-Hounkponou Fanny, Houéto Sègbégnon David, Sossa Jérôme Charles, et al. (2021). Social Status as Predictor of Pregnant Women Attendance at Antenatal Care. Central African Journal of Public Health, 7(1), 40-46. https://doi.org/10.11648/j.cajph.20210701.15

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    ACS Style

    Agonnoudé Togbédji Maurice; Assogba Abdul Koudous; Ahouignan-Hounkponou Fanny; Houéto Sègbégnon David; Sossa Jérôme Charles, et al. Social Status as Predictor of Pregnant Women Attendance at Antenatal Care. Cent. Afr. J. Public Health 2021, 7(1), 40-46. doi: 10.11648/j.cajph.20210701.15

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    AMA Style

    Agonnoudé Togbédji Maurice, Assogba Abdul Koudous, Ahouignan-Hounkponou Fanny, Houéto Sègbégnon David, Sossa Jérôme Charles, et al. Social Status as Predictor of Pregnant Women Attendance at Antenatal Care. Cent Afr J Public Health. 2021;7(1):40-46. doi: 10.11648/j.cajph.20210701.15

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  • @article{10.11648/j.cajph.20210701.15,
      author = {Agonnoudé Togbédji Maurice and Assogba Abdul Koudous and Ahouignan-Hounkponou Fanny and Houéto Sègbégnon David and Sossa Jérôme Charles and Zannou Gbènoukpo Sébastien},
      title = {Social Status as Predictor of Pregnant Women Attendance at Antenatal Care},
      journal = {Central African Journal of Public Health},
      volume = {7},
      number = {1},
      pages = {40-46},
      doi = {10.11648/j.cajph.20210701.15},
      url = {https://doi.org/10.11648/j.cajph.20210701.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cajph.20210701.15},
      abstract = {Objectives: to assess the influence of social status of women on their attendance at antenatal care (ANC) in North Benin context in 2016. Methods: A cross-sectional study was conducted from November 17th to December 16th, 2016 on a sample of 465 women who had delivered in the past few days before the survey. A structured and pre-tested questionnaire was used to collect information concerning their socio-demographic, socio-cultural, individual and community resources, and pregnancy complications. Results: Factors influencing the attendance at ANC in both univariate and multivariate analysis were number of pregnancy, the parity, the existence of a pathological obstetric history, the relationship with the head of household, the decision-making power to attend ANC, profession, income, woman's knowledge of ANC and some organizational factors (appropriateness of appointment days and waiting time). So, controlling for others factors and relative to women with the first pregnancy, women with the fifth pregnancy had 51.572 fold (95%IC=[7.93 – 335.28]) higher odd to be non attendance to antenatal care. Conclusion: Sociocultural, political and institutional factors should be taken into account in order to improve women’s attendance at antenatal care in North Benin.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Social Status as Predictor of Pregnant Women Attendance at Antenatal Care
    AU  - Agonnoudé Togbédji Maurice
    AU  - Assogba Abdul Koudous
    AU  - Ahouignan-Hounkponou Fanny
    AU  - Houéto Sègbégnon David
    AU  - Sossa Jérôme Charles
    AU  - Zannou Gbènoukpo Sébastien
    Y1  - 2021/01/25
    PY  - 2021
    N1  - https://doi.org/10.11648/j.cajph.20210701.15
    DO  - 10.11648/j.cajph.20210701.15
    T2  - Central African Journal of Public Health
    JF  - Central African Journal of Public Health
    JO  - Central African Journal of Public Health
    SP  - 40
    EP  - 46
    PB  - Science Publishing Group
    SN  - 2575-5781
    UR  - https://doi.org/10.11648/j.cajph.20210701.15
    AB  - Objectives: to assess the influence of social status of women on their attendance at antenatal care (ANC) in North Benin context in 2016. Methods: A cross-sectional study was conducted from November 17th to December 16th, 2016 on a sample of 465 women who had delivered in the past few days before the survey. A structured and pre-tested questionnaire was used to collect information concerning their socio-demographic, socio-cultural, individual and community resources, and pregnancy complications. Results: Factors influencing the attendance at ANC in both univariate and multivariate analysis were number of pregnancy, the parity, the existence of a pathological obstetric history, the relationship with the head of household, the decision-making power to attend ANC, profession, income, woman's knowledge of ANC and some organizational factors (appropriateness of appointment days and waiting time). So, controlling for others factors and relative to women with the first pregnancy, women with the fifth pregnancy had 51.572 fold (95%IC=[7.93 – 335.28]) higher odd to be non attendance to antenatal care. Conclusion: Sociocultural, political and institutional factors should be taken into account in order to improve women’s attendance at antenatal care in North Benin.
    VL  - 7
    IS  - 1
    ER  - 

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Author Information
  • National School of Public Health and Epidemiology, University of Parakou, Parakou, Benin Republic

  • National School of Public Health and Epidemiology, University of Parakou, Parakou, Benin Republic

  • Faculty of Medecine, University of Parakou, Parakou, Benin Republic

  • National School of Public Health and Epidemiology, University of Parakou, Parakou, Benin Republic

  • National School of Public Health and Epidemiology, University of Parakou, Parakou, Benin Republic

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