Challenges in developing prediction models for stillbirth
| Autor: | David Ellwood, Jessica Sexton, Vicki Flenady |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
business.industry Public health Obstetrics and Gynecology Stillbirth Prognosis female genital diseases and pregnancy complications Increased risk Logistic Models Pregnancy Risk Factors Environmental health medicine population characteristics Humans Female business reproductive and urinary physiology Predictive modelling |
| Zdroj: | BJOG : an international journal of obstetrics and gynaecology. 128(2) |
| ISSN: | 1471-0528 |
| Popis: | 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). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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