Literature DB >> 31816433

Visual estimation of postpartum blood loss during a simulation training: A prospective study.

Juliette Lemée1, Aurélien Scalabre2, Céline Chauleur3, Tiphaine Raia-Barjat4.   

Abstract

OBJECTIVE: The objective of our study was to compare visually estimated blood loss (with collector bags and absorbent pads) during postpartum with the real volume during a simulation training. STUDY
DESIGN: This study was conducted from May 23 to December 22, 2017 during training sessions on the theme of postpartum haemorrhage provided by the Elena perinatal network. 137 participants visually estimated the losses contained in 5 graduated collector bags (from 600 to 1800mL) and on 5 absorbent pads (from 200 to 1000mL).
RESULTS: The averages of the visual estimated blood loss were significantly different from the real value, except for absorbent pads containing 400mL of losses. The low volumes are better estimated for either the absorbent pads or collector bags (p<0.001). 57% of the volumes were underestimated with collector bags, 33% of the estimates were accurate to ± 50 mL. With absorbent pads, 51% of the estimates were underestimated, compared to 22%, that were accurate.
CONCLUSION: The simulation training allows to test the capacities of visual estimation of blood loss by health professionals in order to improve them and to improve the maternal care during postpartum haemorrhage.
Copyright © 2019 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Absorbent pads; Collector bag; Simulation; Visually estimated blood loss

Mesh:

Year:  2019        PMID: 31816433     DOI: 10.1016/j.jogoh.2019.101673

Source DB:  PubMed          Journal:  J Gynecol Obstet Hum Reprod        ISSN: 2468-7847


  1 in total

1.  Measurement of postpartum blood loss using a new two-set liquid collection bag for vaginal delivery: A prospective, randomized, case control study.

Authors:  Fang Wang; Nanjia Lu; Xiaofeng Weng; Yanping Tian; Shiwen Sun; Baohua Li
Journal:  Medicine (Baltimore)       Date:  2021-05-14       Impact factor: 1.889

  1 in total

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