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

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 develop...

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Main Authors: White, L, Lee, S, Stepniewska, K, Simpson, J, Dwell, S, Arunjerdja, R, Singhasivanon, P, White, N, Nosten, F, Mcgready, R
Format: Journal article
Language:English
Published: 2012
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author White, L
Lee, S
Stepniewska, K
Simpson, J
Dwell, S
Arunjerdja, R
Singhasivanon, P
White, N
Nosten, F
Mcgready, R
author_facet White, L
Lee, S
Stepniewska, K
Simpson, J
Dwell, S
Arunjerdja, R
Singhasivanon, P
White, N
Nosten, F
Mcgready, R
author_sort White, L
collection OXFORD
description 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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spelling oxford-uuid:d65bac3e-2d04-45fe-96ae-99cb354e3d992022-03-27T08:32:49ZEstimation of gestational age from fundal height: a solution for resource-poor settings.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:d65bac3e-2d04-45fe-96ae-99cb354e3d99EnglishSymplectic Elements at Oxford2012White, LLee, SStepniewska, KSimpson, JDwell, SArunjerdja, RSinghasivanon, PWhite, NNosten, FMcgready, RMany 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.
spellingShingle White, L
Lee, S
Stepniewska, K
Simpson, J
Dwell, S
Arunjerdja, R
Singhasivanon, P
White, N
Nosten, F
Mcgready, R
Estimation of gestational age from fundal height: a solution for resource-poor settings.
title Estimation of gestational age from fundal height: a solution for resource-poor settings.
title_full Estimation of gestational age from fundal height: a solution for resource-poor settings.
title_fullStr Estimation of gestational age from fundal height: a solution for resource-poor settings.
title_full_unstemmed Estimation of gestational age from fundal height: a solution for resource-poor settings.
title_short Estimation of gestational age from fundal height: a solution for resource-poor settings.
title_sort estimation of gestational age from fundal height a solution for resource poor settings
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