IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0284890.html
   My bibliography  Save this article

Magnitude of optimal access to ANC and its predictors in Ethiopia: Multilevel mixed effect analysis of nationally representative cross-sectional survey

Author

Listed:
  • Wubshet Debebe Negash
  • Tadele Biresaw Belachew
  • Samrawit Mihret Fetene
  • Banchilay Addis
  • Tsegaw Amare
  • Atitegeb Abera Kidie
  • Abel Endawkie
  • Alebachew Ferede Zegeye
  • Tadesse Tarik Tamir
  • Sisay Maru Wubante
  • Elsa Awoke Fentie
  • Desale Bihonegn Asmamaw

Abstract

Background: Optimal access to ANC, such as the first ANC visit at first trimester, four or more ANC visits, and skilled health care provider can significantly reduce maternal mortality in an inclusive way. Previous studies conducted in Ethiopia on optimal ANC are restricted to frequencies of ANC visit. Therefore, the aim of this study was to assess the magnitude of optimal ANC access as a comprehensive way and its predictors among pregnant women in Ethiopia. Methods: Secondary data source from a recent demographic and health survey was used for analysis. This study includes a weighted sample of 4771 pregnant women. A multilevel mixed-effect binary logistic regression analyses was done to identify both the individual and community level factors. Odds ratio along with the 95% confidence interval was generated to identify the predictors of optimal access to ANC. A p-value less than 0.05 was declared as statistical significant. Results: In Ethiopia, one in five (20%) pregnant women had optimal access to antenatal care. Regarding the factors at individual level, pregnant women aged 25–34 years [aOR = 1.58, 95% CI = 1.23–2.03] and 35–49 years [aOR = 2.04, 95% CI = 1.43–2.89], those who had educated primary [aOR = 1.67, 95% CI = 1.33–2.09], secondary and higher [aOR = 1.81, 95% CI = 1.15–2.85], Primipara [aOR = 2.45, 95% CI = 1.68–3.59] and multipara [aOR = 1.48, 95% CI = 1.11–1.98] had higher odds of accessing optimal ANC. With the community level factors, the odds of optimal access to ANC was higher among pregnant women who lived in urban area [aOR = 2.08, 95% CI = 1.33–3.27], whereas, lower odds of optimal ANC access among those pregnant women who reported distance to the health facility as a big problem [aOR = 0.78, 95% CI = 0.63–0.96]. Conclusion and recommendation: The study concludes that in Ethiopia, optimal access to ANC was low. The study identified that both individual and community level factors were predictors for optimal ANC access. Therefore, the Ethiopian government should intensify extensive education on ANC in a comprehensive way. Moreover, especial attention from the Ethiopian ministry of health for those women who reported distance as a big problem and for rural resident women is mandatory.

Suggested Citation

  • Wubshet Debebe Negash & Tadele Biresaw Belachew & Samrawit Mihret Fetene & Banchilay Addis & Tsegaw Amare & Atitegeb Abera Kidie & Abel Endawkie & Alebachew Ferede Zegeye & Tadesse Tarik Tamir & Sisay, 2023. "Magnitude of optimal access to ANC and its predictors in Ethiopia: Multilevel mixed effect analysis of nationally representative cross-sectional survey," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-14, April.
  • Handle: RePEc:plo:pone00:0284890
    DOI: 10.1371/journal.pone.0284890
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0284890
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0284890&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0284890?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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:plo:pone00:0284890. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.