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. 2015;36(1):70-87.
doi: 10.1080/07399332.2014.943839. Epub 2014 Oct 2.

What are the factors that interplay from normal pregnancy to near miss maternal morbidity in a Nigerian tertiary health care facility?

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Free PMC article

What are the factors that interplay from normal pregnancy to near miss maternal morbidity in a Nigerian tertiary health care facility?

Ikeola A Adeoye et al. Health Care Women Int. 2015.
Free PMC article

Abstract

Researchers in Nigeria examined the epidemiological characteristics and factors associated with maternal outcomes using a mixed method approach: a prospective case control study design involving 375 pregnant women who received maternal care from a tertiary facility and in-depth interviews reporting the experience of near-miss survivors. A generalized ordered logit model was used to generate the estimates of partial proportional odds ratios (and 95% confidence intervals) across categories of the outcome variable. Factors strongly associated with maternal morbidity were late referral of women, presence of complications at booking antenatal visits, low birth weight, and severe birth asphyxia. The nearmiss women were further characterized, and a low proportion (25%) had organ dysfunction or failure. The challenge of such diagnoses in resource-constrained settings raises questions about the appropriateness of using organ dysfunction criteria in developing countries.

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Figures

FIGURE 1
FIGURE 1. Distribution of acute maternal morbidities by specific causes.
FIGURE 2
FIGURE 2. Percentage distribution of women with near miss by presence and type of organ dysfunction.

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References

    1. Adeoye I.A. Onayade A.A. Fatusi A.O. Incidence, determinants and perinatal outcomes of near miss maternal morbidity in Ile-Ife Nigeria: A prospective case control study. BMC Pregnancy and Childbirth. 2013;13:93. doi: 10.1186/1471-2393-13-93. - DOI - PMC - PubMed
    1. Babalola S. Fatusi A. Determinants of use of maternal health services in Nigeria—Looking beyond individual and household factors. BMC Pregnancy Childbirth. 2009;9:43. doi: 10.1186/1471-2393-9-43. - DOI - PMC - PubMed
    1. Balci M.M. Acikel S. Akdemir R. Low birth weight and increased cardiovascular risk: Fetal programming. International Journal of Cardiology. 2010;24:110–111. - PubMed
    1. Chowdhury M.E. Ahmed A. Kalim N. Koblinsky M. Causes of maternal mortality decline in Matlab, Bangladesh. Journal of Health, Population and Nutrition. 2009;27:108–123. - PMC - PubMed
    1. Filippi V. Ronsmans C. Gandaho T. Graham W. Alihonou E. Santos P. Women's reports of severe near miss obstetric complications in Benin. Studies in Family Planning. 2003;31:309–324. - PubMed

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