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...
Main Authors: | , , , , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
2012
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_version_ | 1797097416330051584 |
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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. |
first_indexed | 2024-03-07T04:55:11Z |
format | Journal article |
id | oxford-uuid:d65bac3e-2d04-45fe-96ae-99cb354e3d99 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-07T04:55:11Z |
publishDate | 2012 |
record_format | dspace |
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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