Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings

Dados Bibliográficos

ID22071968
AutoresAduragbemi Banke-Thomas (0000-0002-4449-0131, University of Greenwich, autor correspondente), Peter M Macharia (0000-0003-3410-1881, Kenya Medical Research Institute), Prestige Tatenda Makanga (0000-0002-9025-2564, Midlands State University), Lenka Beňová (0000-0001-8595-365X, Instituut voor Tropische Geneeskunde), Kerry LM Wong (0000-0002-4400-2257, London School of Hygiene & Tropical Medicine), Kerry L M Wong, Uchenna Gwacham-Anisiobi (0000-0001-5459-309X, University of Oxford), Jia Wang (0000-0003-1916-5086, University of Greenwich), Wei Jia (0000-0002-8181-086X, University of Greenwich), Tope Olubodun (0000-0002-6274-5468, Federal Medical Centre), Olakunmi Ogunyemi (0000-0002-1174-7199), Bosede Bukola Afolabi (0000-0002-7511-7567, University of Lagos), Bassey Ebenso (0000-0003-4147-0968, University of Leeds), Ibukun‐Oluwa Omolade Abejirinde (0000-0003-0139-0541, University of Toronto)
Ano2022
Volume10
Páginas931401-931401
Data de publicação2022-07-29
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.931401
PMID35968464
OpenAlexW4288422748
IdiomaEN
Citações recebidas5
Referências citadas30

Maternal and perinatal mortality remain huge challenges globally, particularly in low- and middle-income countries (LMICs) where >98% of these deaths occur. Emergency obstetric care (EmOC) provided by skilled health personnel is an evidence-based package of interventions effective in reducing these deaths associated with pregnancy and childbirth. Until recently, pregnant women residing in urban areas have been considered to have good access to care, including EmOC. However, emerging evidence shows that due to rapid urbanization, this so called “ urban advantage” is shrinking and in some LMIC settings, it is almost non-existent. This poses a complex challenge for structuring an effective health service delivery system, which tend to have poor spatial planning especially in LMIC settings. To optimize access to EmOC and ultimately reduce preventable maternal deaths within the context of urbanization, it is imperative to accurately locate areas and population groups that are geographically marginalized. Underpinning such assessments is accurately estimating travel time to health facilities that provide EmOC. In this perspective, we discuss strengths and weaknesses of approaches commonly used to estimate travel times to EmOC in LMICs, broadly grouped as reported and modeled approaches, while contextualizing our discussion in urban areas. We then introduce the novel OnTIME project, which seeks to address some of the key limitations in these commonly used approaches by leveraging big data. The perspective concludes with a discussion on anticipated outcomes and potential policy applications of the OnTIME project

Business · Childbirth · Developing country · Economic growth · Environmental health · Geography · Population · Pregnancy · Psychological intervention · Urbanization · Emergency and Acute Care Studies · Global Maternal and Child Health · Medicine · Nursing · Trauma and Emergency Care Studies