Beth A. Payne

ORCID: 0000-0001-6150-8703
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About
Contact & Profiles
Research Areas
  • Pregnancy and preeclampsia studies
  • Global Maternal and Child Health
  • Maternal and fetal healthcare
  • Birth, Development, and Health
  • Cervical Cancer and HPV Research
  • Global Cancer Incidence and Screening
  • Mobile Health and mHealth Applications
  • Neonatal Respiratory Health Research
  • Preterm Birth and Chorioamnionitis
  • Healthcare Systems and Reforms
  • Child Nutrition and Water Access
  • Global Health and Surgery
  • Maternal and Neonatal Healthcare
  • Pregnancy and Medication Impact
  • Maternal and Perinatal Health Interventions
  • ICT in Developing Communities
  • Vaccine Coverage and Hesitancy
  • Global Health and Epidemiology
  • Sepsis Diagnosis and Treatment
  • Pregnancy-related medical research
  • Ethics in Clinical Research
  • Trauma and Emergency Care Studies
  • Gestational Diabetes Research and Management
  • Artificial Intelligence in Healthcare
  • Cardiac, Anesthesia and Surgical Outcomes

University of British Columbia
2016-2025

British Columbia Children's Hospital
2017-2025

Women's Health Research Institute
2019-2025

Clinical Research Management
2024

B.C. Women's Hospital & Health Centre
2014-2023

Makerere University
2022

Uganda Cancer Institute
2022

University of British Columbia Hospital
2018-2022

King's College London
2017-2021

Creative Commons
2021

Most pregnancy hypertension estimates in less-developed countries are from cross-sectional hospital surveys and considered overestimates. We estimated population-based rates by standardised methods 27 intervention clusters of the Community-Level Interventions for Pre-eclampsia (CLIP) cluster randomised trials.CLIP-eligible pregnant women identified their homes or local primary health centres (2013-2017). Included here who had delivered trial end received a visit community worker trained to...

10.1371/journal.pmed.1002783 article EN cc-by PLoS Medicine 2019-04-12

The development of mobile applications for the diagnosis and management pregnant women with pre-eclampsia is described. These are designed use by community-based health care providers (c-HCPs) in facilities during home visits to collect symptoms perform clinical measurements (including pulse oximeter readings). data collected used as inputs a predictive model providing risk score adverse outcomes. Based on this risk, provide recommendations treatment, referral, reassessment. c-HCPs can...

10.1109/jbhi.2014.2301156 article EN IEEE Journal of Biomedical and Health Informatics 2014-01-31

Pre-eclampsia is one of the leading causes maternal death and morbidity in low-resource countries due to delays case identification a shortage health workers trained manage disorder. Integrated Estimate RiSk (PIERS) on Move (PotM) low cost, easy-to-use, mobile (mHealth) platform that has been created aid making decisions around management hypertensive pregnant women. PotM combines two previously successful innovations into mHealth app: miniPIERS risk assessment model Phone Oximeter.The aim...

10.2196/mhealth.3942 article EN cc-by JMIR mhealth and uhealth 2015-04-17

Early-onset preeclampsia is associated with severe maternal and perinatal complications. The fullPIERS model (Preeclampsia Integrated Estimate of Risk) showed both internal external validities for predicting adverse outcomes within 48 hours women admitted at any gestational age. This ability to recognize the highest risk complications earlier could aid in preventing these through improved management. Because majority (≈70%) development had late-onset preeclampsia, we assessed performance...

10.1161/hypertensionaha.117.10318 article EN cc-by-nc-nd Hypertension 2018-02-13
Tünde Montgomery-Csobán Kimberley Kavanagh Paul Murray Chris Robertson Sarah Barry and 95 more Ugochinyere Vivian Ukah Beth A. Payne K. H. Nicolaides Argyro Syngelaki Olivia Ionescu Ranjit Akolekar Jennifer A. Hutcheon Laura A. Magee Peter von Dadelszen Mark Brown Gregory K. Davis Claire E. Parker Barry N J Walters Nelson Sass J. Mark Ansermino Vivien Cao Geoffrey W. Cundiff Emma C.M. von Dadelszen M. Joanne Douglas Guy A. Dumont Dustin Dunsmuir Jennifer A. Hutcheon K.S. Joseph Sayrin Lalji Tang Lee Jing Li Kenneth Lim Sarka Lisonkova Paula Lott Jennifer M. Menzies Alexandra Millman Lynne Palmer Beth A. Payne Ziguang Qu James A. Russell Diane Sawchuck Dorothy Shaw Douglas K. Still Ugochinyere Vivian Ukah Brenda Wagner Keith R. Walley Dany Hugo The late Andrée Gruslin George Tawagi Graeme N. Smith Anne‐Marie Côté Jean‐Marie Moutquin Annie Ouellet Shoo K. Lee Tao Duan Jian Zhou The late Farizah Haniff Swati Mahajan Amanda Noovao Hanna Karjalainend Alja Kortelainen Hannele Laivuori J. Wessel Ganzevoort Henk Groen Phillipa M. Kyle M. Peter Moore Barbra Pullar Zulfiqar A Bhutta Rahat Qureshi Rozina Sikandar The late Shereen Z. Bhutta Garth Cloete David Hall The late Erika van Papendorp D.W. Steyn Christine Biryabarema Florence Mirembe Annettee Nakimuli John Allotey Shakila Thangaratinam K. H. Nicolaides Olivia Ionescu Argyro Syngelaki Michael de Swiet Laura A. Magee Peter von Dadelszen Ranjit Akolekar James J. Walker Stephen C. Robson Fiona Broughton-Pipkin Pamela Loughna Manu Vatish Christopher W.G. Redman Sarah Barry Kimberley Kavanagh Tunde Montgomery-Csobán Paul Murray Chris Robertson Eleni Tsigas Douglas Woelkers

Affecting 2-4% of pregnancies, pre-eclampsia is a leading cause maternal death and morbidity worldwide. Using routinely available data, we aimed to develop validate novel machine learning-based clinical setting-responsive time-of-disease model rule out in adverse outcomes women presenting with pre-eclampsia.

10.1016/s2589-7500(23)00267-4 article EN cc-by The Lancet Digital Health 2024-03-21

ObjectivesTo evaluate the performance of Modified Early Obstetric Warning System (MEOWS) to predict maternal ICU admission in an obstetric population.DesignCase-control study.SettingTwo maternity units Vancouver, Canada, one with facilities, between January 1, 2000, and December 31, 2011.PatientsPregnant or recently delivered (≤6 weeks) women admitted hospital for >24 hours. Three control patients were randomly selected per case matched year admission.Measurements Main ResultsRetrospective,...

10.1016/j.jogc.2017.01.028 article EN cc-by-nc-nd Journal of Obstetrics and Gynaecology Canada 2017-05-29

The fullPIERS model is a risk prediction developed to predict adverse maternal outcomes within 48 h for women admitted with pre-eclampsia. External validation of the required before implementation clinical use. We assessed temporal and external validity in high income settings using five cohorts collected between 2003 2016, from tertiary hospitals Canada, United States America, Finland Kingdom. were grouped into three datasets assessing primary external, validity, broader transportability...

10.1016/j.preghy.2018.01.004 article EN cc-by-nc-nd Pregnancy Hypertension 2018-01-05

The hypertensive disorders of pregnancy are leading causes maternal mortality and morbidity, especially in low- middle-income countries. Early identification women with preeclampsia other at high risk complications will aid reducing this health burden. fullPIERS model (Preeclampsia Integrated Estimate Risk) was developed for predicting adverse outcomes from using data tertiary centers high-income countries uses demographics, signs, symptoms, laboratory tests as predictors. We aimed to assess...

10.1161/hypertensionaha.116.08706 article EN Hypertension 2017-02-07

Pregnancy hypertension is associated with 7.1% of maternal deaths in India. The objective this trial was to assess whether task-sharing care might reduce adverse pregnancy outcomes related delays triage, transport, and treatment. Indian Community-Level Interventions for Pre-eclampsia (CLIP) open-label cluster randomised controlled (NCT01911494) recruited pregnant women 12 clusters (initial four-cluster internal pilot) Belagavi Bagalkote, Karnataka. CLIP intervention (6 clusters) consisted...

10.1016/j.preghy.2020.05.008 article EN cc-by Pregnancy Hypertension 2020-05-19

Cervical cancer is almost entirely preventable through vaccination and screening, yet remains one of the 'gravest threats to women's lives' according World Health Organization. Specific high-risk subtypes human papillomavirus (HR-HPV) are well-established as primary cause cervical cancer. Uganda has highest incidence rates in world (54.8 per 100,000) a result limited screening access infrastructure. The integration self-collected program using HPV testing within existing community-based...

10.1186/s12889-020-8216-9 article EN cc-by BMC Public Health 2020-01-31

Maternal deaths from preeclampsia primarily result in cases with eclampsia, uncontrolled hypertension, or progressing HELLP syndrome. Delivery is the only cure for preeclampsia. Management strategies involve determination of risk factors to predict which pregnancies are at high adverse maternal outcomes. Previous attempts develop assessment models that could identify potential predictive outcomes occurring any time after admission have been unsuccessful. The aim this prospective multicenter...

10.1097/ogx.0b013e31822942a7 article EN Obstetrical & Gynecological Survey 2011-05-01

The fullPIERS (Pre‐eclampsia Integrated Estimate of RiSk) model is a promising tool for the prediction adverse outcomes in pre‐eclampsia, developed using worst values predictor variables measured within 48 hours admission. We reassessed performance obtained 6 and 24 admission, found that stratification capacity, calibration ability, classification accuracy remained high. accurate as rule‐in test maternal outcome, with likelihood ratio 14.8 (95% CI 9.1–24.1) or 17.5 11.7–26.3) based on 6‐...

10.1111/j.1471-0528.2012.03496.x article EN BJOG An International Journal of Obstetrics & Gynaecology 2012-10-19
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