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  • Challenges in developing prediction models for stillbirth.

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    Ellwood445164Accepted.pdf (58.67Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Sexton, Jessica
    Ellwood, David
    Flenady, Vicki
    Griffith University Author(s)
    Ellwood, David A.
    Year published
    2020
    Metadata
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    Abstract
    Stillbirth is a major global public health problem, but in the absence of a robust method to predict a woman's individualized risk of stillbirth, identifying women at increased risk remains a challenge. Awareness of factors that increase risk is a necessary step in improving care through better communication and shared decision-making, with the goal of reducing stillbirths. Despite a high proportion of unexplained stillbirths, many women have one or more risk factors that are often unrecognized (Flenady, V. et al Lancet 2011, 377, 1331-40).Stillbirth is a major global public health problem, but in the absence of a robust method to predict a woman's individualized risk of stillbirth, identifying women at increased risk remains a challenge. Awareness of factors that increase risk is a necessary step in improving care through better communication and shared decision-making, with the goal of reducing stillbirths. Despite a high proportion of unexplained stillbirths, many women have one or more risk factors that are often unrecognized (Flenady, V. et al Lancet 2011, 377, 1331-40).
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    Journal Title
    BJOG
    DOI
    https://doi.org/10.1111/1471-0528.16525
    Copyright Statement
    © 2020 RCOG. This is the peer reviewed version of the following article: Challenges in developing prediction models for stillbirth, BJOG: An International Journal of Obstetrics and Gynaecology, Accepted Articles, 2020, which has been published in final form at 10.1111/1471-0528.16525. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.html)
    Note
    This publication has been entered into Griffith Research Online as an Advanced Online Version.
    Subject
    Biomedical and clinical sciences
    Clinical sciences
    Publication URI
    http://hdl.handle.net/10072/398125
    Collection
    • Journal articles

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