Cited by 71Maternal and Neonatal HealthcareGlobal Maternal and Child HealthMaternal and Perinatal Health Interventions

Estimation of gestational age from fundal height: a solution for resource-poor settings

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White, Lisa J., Lee, Sue J., Stepniewska, Kasia, Simpson, Julie A., Dwell, Saw Lu Mu, Arunjerdja, Ratree, Singhasivanon, Pratap, White, Nicholas J. +2 more·2012·Journal of The Royal Society Interface

Abstract

Many women in resource-poor settings lack access to reliable gestational age assessment because they do not know their last menstrual period; there is no ultrasound (US) and methods of newborn gestational age dating are not practised by birth attendants. A bespoke multiple-measures model was developed to predict the expected date of delivery determined by US. The results are compared with both a linear and a nonlinear model. Prospectively collected early US and serial symphysis-pubis fundal height (SFH) data were used in the models. The data were collected from Karen and Burmese women attending antenatal care on the Thai-Burmese border. The multiple-measures model performed best, resulting in a range of accuracy depending on the number of SFH measures recorded per mother (for example six SFH measurements resulted in a prediction accuracy of ±2 weeks). SFH remains the proxy for gestational age in much of the resource-poor world. While more accurate measures should be encouraged, we demonstrate that a formula that incorporates at least three SFH measures from an individual mother and the slopes between them provide a significant increase in the accuracy of prediction compared with the linear and nonlinear formulae also using multiple SFH measures.

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Authors
White, L. J., Lee, S. J., Stepniewska, K., Simpson, J. A., Dwell, S. L. M., Arunjerdja, R., Singhasivanon, P., White, N. J., Nosten, F., & McGready, R.
Affiliations
  • Mahidol University (TH)
  • The University of Melbourne (AU)
  • Shoklo Malaria Research Unit (TH)
  • Centre for Clinical Vaccinology and Tropical Medicine, Nuffield Department of Clinical Medicine, John Radcliffe Hospital, University of Oxford, Oxford OX3 7LJ, UK
Corresponding author
White, Lisa J.
Venue
Journal of The Royal Society Interface
Published
2011-08-17
Volume
9
Issue
68
Pages
503-510
ISSN
  • 1742-5662 (ISSN-L)
  • 1742-5689
OpenAlex
W2141617697
Cited by
71
References
59
Citations by year
2026: 4 · 2025: 2 · 2024: 1 · 2023: 5 · 2022: 8 · 2021: 3 · 2020: 11 · 2019: 3 · 2018: 10 · 2017: 6 · 2016: 1 · 2015: 7 · 2014: 1 · 2013: 6 · 2012: 2
FWCI
5.95
Type
journal article
Language
en
Open access
Locations
  • Journal of The Royal Society Interface (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
Funders
Wellcome Trust (089275, 093956, 093956/Z/10/Z)
Topics
  • Health Sciences › Health Professions › General Health Professions › Maternal and Neonatal Healthcare
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
  • Health Sciences › Medicine › Obstetrics and Gynecology › Maternal and Perinatal Health Interventions
Keywords
gestational age estimation, fundal height, expected date of delivery, serial measurement, resource-limited settings, prenatal care, Thai-Myanmar border, ultrasound dating, prediction accuracy
MeSH terms
Body Weights and Measures, Myanmar, Ethnicity, Female, Gestational Age, Humans, Predictive Value of Tests, Prenatal Diagnosis, Pubic Symphysis, Uterus, Linear Models

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