Lisa J. White|Sue J. Lee|Kasia Stepniewska|Julie A Simpson|Saw Lu Mu Dwell|Ratree Arunjerdja|Pratap Singhasivanon|Nicholas J. White|François Nosten|Rose McGready
Estimation of gestational age from fundal height: a solution for resource-poor settings
John Radcliffe Hospital|University of Oxford|Mahidol Oxford Tropical Medicine Research Unit|Mahidol University|John Radcliffe Hospital|University of Oxford|Mahidol Oxford Tropical Medicine Research Unit|Mahidol University|John Radcliffe Hospital|University of Oxford|Mahidol Oxford Tropical Medicine Research Unit|Mahidol University|Mahidol Oxford Tropical Medicine Research Unit|Mahidol University|University of Melbourne|Shoklo Malaria Research Unit|Shoklo Malaria Research Unit|Mahidol Oxford Tropical Medicine Research Unit|Mahidol University|John Radcliffe Hospital|University of Oxford|Mahidol Oxford Tropical Medicine Research Unit|Mahidol University|John Radcliffe Hospital|University of Oxford|Mahidol Oxford Tropical Medicine Research Unit|Mahidol University|Shoklo Malaria Research Unit|John Radcliffe Hospital|University of Oxford|Mahidol Oxford Tropical Medicine Research Unit|Mahidol University|Shoklo Malaria Research Unit
many women resourcepoor settings lack access reliable gestational age assessment know last menstrual period ultrasound us methods newborn gestational age dating practised birth attendants bespoke multiplemeasures model developed predict expected date delivery determined us results compared linear nonlinear model prospectively collected early us serial symphysispubis fundal height sfh data used models data collected karen burmese women attending antenatal care thaiburmese border multiplemeasures model performed best resulting range accuracy depending number sfh measures recorded per mother example six sfh measurements resulted prediction accuracy 2 weeks sfh remains proxy gestational age much resourcepoor world accurate measures encouraged demonstrate formula incorporates least three sfh measures individual mother slopes provide significant increase accuracy prediction compared linear nonlinear formulae also using multiple sfh measures