IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0275951.html
   My bibliography  Save this article

Exploring spatial variations in level and predictors of unskilled birth attendant delivery in Bangladesh using spatial analysis techniques: Findings from nationally representative survey data

Author

Listed:
  • Md Rahman Mahfuzur
  • Md Arif Billah
  • Nicola Liebergreen
  • Manoj Kumer Ghosh
  • Md Shafiul Alam
  • Md Armanul Haque
  • Abdullah Al-Maruf

Abstract

Background: Bangladesh has failed to meet the United Nations goal for reducing maternal mortality in the last decade. The high prevalence of unskilled birth attendant (UBA) delivery (47%) has resulted in negative consequences for the health of mothers and newborn babies in the country. Spatial variations in UBA delivery and its predictors are yet to be explored in Bangladesh, which could be very helpful in formulating cost-effective policies for reducing that. This study examines the spatial variations in UBA delivery and its predictors in Bangladesh. Methods: This study analyzed the characteristics of 672 clusters extracted from the 2017/18 Bangladesh Demographic and Health Survey, and healthcare facility data from the 2017 Bangladesh Health Facility Survey. These data were analyzed using descriptive and spatial analyses (hot spot analysis, Ordinary Least Squares Regression, and Geographically Weighted Regression) techniques. Results: Statistically significant hot spots of UBA delivery were concentrated in parts of the Mymensingh, Sylhet, Barishal, and Rangpur regions, while Khulna was the safest region. Predictive strengths of the statistically significant predictors of spatial variation in UBA delivery were observed to vary considerably across the regions. Poorest household wealth status and less than four antenatal care contacts emerged as strong predictors of UBA delivery in all the aforementioned hot spot-stricken regions, except Barisal. Additionally, primiparity and all secondary education or higher were strong predictors of lower UBA delivery rates in Mymensingh and Sylhet, while poorer household wealth status was also a strong predictor of UBA delivery in Sylhet. Multiparity was an additional strong predictor of UBA delivery in Rangpur. In Barisal, only poorer household wealth status exerted a strong positive influence on UBA delivery. Conclusions: The remarkable spatial variations in UBA delivery and its predictors’ strengths indicate that geographically-targeted interventions could be a cost-effective method for reducing the UBA delivery prevalence in Bangladesh, thereby improve maternal and child health.

Suggested Citation

  • Md Rahman Mahfuzur & Md Arif Billah & Nicola Liebergreen & Manoj Kumer Ghosh & Md Shafiul Alam & Md Armanul Haque & Abdullah Al-Maruf, 2022. "Exploring spatial variations in level and predictors of unskilled birth attendant delivery in Bangladesh using spatial analysis techniques: Findings from nationally representative survey data," PLOS ONE, Public Library of Science, vol. 17(10), pages 1-18, October.
    • Handle: RePEc:plo:pone00:0275951
    DOI: 10.1371/journal.pone.0275951
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0275951
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0275951&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0275951?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
    ---><---

    References listed on IDEAS

    as
    1. M. Najeeb Shafiq, 2009. "A reversal of educational fortune? Educational gender gaps in Bangladesh," Journal of International Development, John Wiley & Sons, Ltd., vol. 21(1), pages 137-155.
    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. Niels-Hugo Blunch & Maitreyi Bordia Das, 2015. "Changing norms about gender inequality in education: Evidence from Bangladesh," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(6), pages 183-218.
    2. Kenayathulla, Husaina Banu, 2016. "Gender differences in intra-household educational expenditures in Malaysia," International Journal of Educational Development, Elsevier, vol. 46(C), pages 59-73.
    3. Thereza Balliester Reis, 2022. "Socio‐economic determinants of financial inclusion: An evaluation with a microdata multidimensional index," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(3), pages 587-611, April.
    4. Acar, Elif Öznur & Günalp, Burak & Cilasun, Seyit Mümin, 2016. "An empirical analysis of household education expenditures in Turkey," International Journal of Educational Development, Elsevier, vol. 51(C), pages 23-35.
    5. Siahaan, Freddy & Lee, Daniel Y. & Kalist, David E., 2014. "Educational attainment of children of immigrants: Evidence from the national longitudinal survey of youth," Economics of Education Review, Elsevier, vol. 38(C), pages 1-8.
    6. M. Najeeb Shafiq, 2011. "What Criteria Should Policy-makers Use for Assisting Households with Educational Expenditure?," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 12(1), pages 25-37, March.
    7. Xu, Sijia & Shonchoy, Abu S. & Fujii, Tomoki, 2022. "Assessing gender parity in intrahousehold allocation of educational resources: Evidence from Bangladesh," World Development, Elsevier, vol. 151(C).

    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:pone00:0275951. 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: 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.