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Authors: Juliano Gaspar ; Marcelo S. Junior ; Regina Lopes and Zilma Reis

Affiliation: Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

ISBN: 978-989-758-353-7

Keyword(s): Obstetric Hemorrhage, Robson Classification, Cesarean Section, Decision Support System.

Abstract: Introduction: The junction of postpartum hemorrhage (PPH) and cesarean section (C-section) is a potential burden to take into account as a strategy to avoid unnecessary, and dangerous interventions. Despite most of the maternal death could have been prevented, rates are unacceptably high. According to the WHO, the rates of C-section are above recommended. The hypertension and PPH are the leading causes of maternal death worldwide. Aim: This study propose to analyze the association between C-section and PPH in a electronic health record (EHR) database and subsequently implementing an algorithm to assist health professionals in the avoidance of unnecessary C-section based on the estimation of obstetric hemorrhagic risk. Methods: Statistical analysis was performed using SISMater® database within 9,412 records about admissions to childbirth. The C-section rates associated with the occurrence of obstetric hemorrhage reported in the EHR was used to analysis. To implement the algorithm, the WHO and American College of Obstetricians and Gynecologists (ACOG) recommendations were used. The decision rules were developed to estimate the hemorrhagic risk score within the 10 groups proposed by the Robson classification. Discussion: It's expected that the system will help to reduce unnecessary C-section rates and prevent PPH, providing better conditions of prognosis for mother and her newborn. (More)

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Paper citation in several formats:
Gaspar, J.; S. Junior, M.; Lopes, R. and Reis, Z. (2019). Cesarean Section Avoidance based on Obstetric Hemorrhagic Risk: A Decision Support System.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-353-7, pages 281-285. DOI: 10.5220/0007373802810285

@conference{healthinf19,
author={Juliano S. Gaspar. and Marcelo R. S. Junior. and Regina A. L. P. Lopes. and Zilma S. N. Reis.},
title={Cesarean Section Avoidance based on Obstetric Hemorrhagic Risk: A Decision Support System},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2019},
pages={281-285},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007373802810285},
isbn={978-989-758-353-7},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - Cesarean Section Avoidance based on Obstetric Hemorrhagic Risk: A Decision Support System
SN - 978-989-758-353-7
AU - Gaspar, J.
AU - S. Junior, M.
AU - Lopes, R.
AU - Reis, Z.
PY - 2019
SP - 281
EP - 285
DO - 10.5220/0007373802810285

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