Literature DB >> 26233835

Reliability of student midwives' visual estimate of blood loss in the immediate postpartum period: a cross-sectional study.

Inès Parayre1, Olivier Rivière2, Anne Debost-Legrand3, Didier Lémery4, Françoise Vendittelli5.   

Abstract

BACKGROUND: In France, postpartum hemorrhage (blood loss≥500mL in the first 24h postpartum) is the leading direct obstetric cause of maternal mortality. In French practice, PPH is mainly diagnosed by a quantitative assessment of blood loss, performed by subjective methods such as visual estimates. Various studies have concluded that visual estimates are imprecise, tend to underestimate blood loss, and thus to delay diagnosis of PPH.
OBJECTIVES: The principal objective of this study was to assess the accuracy of visual estimates of blood loss by student midwives. The secondary objectives were to study intraobserver agreement of these assessments, to assess the accuracy of visual estimates for threshold values, and to look for a region effect.
DESIGN: A cross-sectional multicentre study.
SETTING: All French midwifery schools (n=35). PARTICIPANTS: Volunteer French student midwives at their fifth (final) year (n=463).
METHODS: The online questionnaire contained 16 photographs (8 different, each presented twice) of simulated volumes of blood loss (100, 150, 200, 300, 500, 850, 1000, and 1500mL). A 50-mL reference standard for calibration accompanied each photograph. Only one answer could be selected among the 7 choices offered for each photograph. Comparisons used χ(2) and Kappa tests.
RESULTS: The participation rate was 48.43% (463/956), and 7.408 visual estimates were collected. Estimates were accurate for 35.34% of the responses. The reproducibility rate for the visual estimates (0.17≤к≤0.48) and for the accurate visual estimates (0.11≤к≤0.55) were moderate for 4 of the 8 volumes (100, 300, 1000, and 1500mL). The percentage of accurate responses was significantly higher for volumes≤300mL than for those ≥500mL (52.94% vs. 17.17%, p<0.0001) and those ≥1000mL (52.94% vs. 18.30%, p<0.0001). The percentage of accurate responses varied between the regions (p=0.042).
CONCLUSION: Despite the help of a visual aid, both the accuracy and reproducibility of the visual estimates were low.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Estimation of blood loss; Maternal mortality; Postpartum hemorrhage; Student midwives

Mesh:

Year:  2015        PMID: 26233835     DOI: 10.1016/j.ijnurstu.2015.06.015

Source DB:  PubMed          Journal:  Int J Nurs Stud        ISSN: 0020-7489            Impact factor:   5.837


  5 in total

1.  Visual estimates of blood loss by medical laypeople: Effects of blood loss volume, victim gender, and perspective.

Authors:  Rachel Phillips; Marc Friberg; Mattias Lantz Cronqvist; Carl-Oscar Jonson; Erik Prytz
Journal:  PLoS One       Date:  2020-11-12       Impact factor: 3.240

2.  Hemoglobin drop following postpartum hemorrhage.

Authors:  Enav Yefet; Avishag Yossef; Abeer Suleiman; Aliza Hatokay; Zohar Nachum
Journal:  Sci Rep       Date:  2020-12-09       Impact factor: 4.379

3.  The visually estimated blood volume in scaled canisters based on a simulation study.

Authors:  Lara Gerdessen; Vanessa Neef; Florian J Raimann; Kai Zacharowski; Florian Piekarski
Journal:  BMC Anesthesiol       Date:  2021-02-16       Impact factor: 2.217

4.  Do we visually estimate intra-operative blood loss better with white or green sponges and is the deviation from the real blood loss clinically acceptable? Results from a simulated scenario study.

Authors:  Florian Piekarski; Lara Gerdessen; Elke Schmitt; Linda Tanner; Florian Wunderer; Vanessa Neef; Patrick Meybohm; Kai Zacharowski; Florian Jürgen Raimann
Journal:  PLoS One       Date:  2020-10-21       Impact factor: 3.240

Review 5.  Comparison of common perioperative blood loss estimation techniques: a systematic review and meta-analysis.

Authors:  Lara Gerdessen; Patrick Meybohm; Suma Choorapoikayil; Eva Herrmann; Isabel Taeuber; Vanessa Neef; Florian J Raimann; Kai Zacharowski; Florian Piekarski
Journal:  J Clin Monit Comput       Date:  2020-08-19       Impact factor: 2.502

  5 in total

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