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National optimisation of accessibility to emergency obstetrical and neonatal care in Togo: a geospatial analysis

OBJECTIVES: Improving access to emergency obstetrical and neonatal care (EmONC) is a key strategy for reducing maternal and neonatal mortality. Access is shaped by several factors, including service availability and geographical accessibility. In 2013, the Ministry of Health (MoH) of Togo used servi...

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Autores principales: Curtis, Andrew, Monet, Jean-Pierre, Brun, Michel, Bindaoudou, Issa Abdou-Kérim, Daoudou, Idrissou, Schaaf, Marta, Agbigbi, Yawo, Ray, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327815/
https://www.ncbi.nlm.nih.gov/pubmed/34330852
http://dx.doi.org/10.1136/bmjopen-2020-045891
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author Curtis, Andrew
Monet, Jean-Pierre
Brun, Michel
Bindaoudou, Issa Abdou-Kérim
Daoudou, Idrissou
Schaaf, Marta
Agbigbi, Yawo
Ray, Nicolas
author_facet Curtis, Andrew
Monet, Jean-Pierre
Brun, Michel
Bindaoudou, Issa Abdou-Kérim
Daoudou, Idrissou
Schaaf, Marta
Agbigbi, Yawo
Ray, Nicolas
author_sort Curtis, Andrew
collection PubMed
description OBJECTIVES: Improving access to emergency obstetrical and neonatal care (EmONC) is a key strategy for reducing maternal and neonatal mortality. Access is shaped by several factors, including service availability and geographical accessibility. In 2013, the Ministry of Health (MoH) of Togo used service availability and other criteria to designate particular facilities as EmONC facilities, facilitating efficient allocation of limited resources. In 2018, the MoH further revised and rationalised this health facility network by applying an innovative methodology using health facility characteristics and geographical accessibility modelling to optimise timely access to EmONC services. This study compares the geographical accessibility of the network established in 2013 and the smaller network developed in 2018. DESIGN: We used data regarding travel modes and speeds, geographical barriers and topographical and urban constraints, to estimate travel times to the nearest EmONC facilities. We compared the EmONC network of 109 facilities established in 2013 with the one composed of 73 facilities established in 2018, using three travel scenarios (walking and motorised, motorcycle-taxi and walking-only). RESULTS: When walking and motorised travel is considered, the 2013 EmONC network covers 81% and 96.6% of the population at the 1-hour and 2-hour limit, respectively. These figures are slightly higher when motorcycle-taxis are considered (82.8% and 98%), and decreased to 34.7% and 52.3% for the walking-only scenario. The 2018 prioritised EmONC network covers 78.3% (1-hour) and 95.5% (2-hour) of the population for the walking and motorised scenario. CONCLUSIONS: By factoring in geographical accessibility modelling to our iterative EmONC prioritisation process, the MoH was able to decrease the designated number of EmONC facilities in Togo by about 30%, while still ensuring that a high proportion of the population has timely access to these services. However, the physical access to EmONC for women unable to afford motorised transport remains inequitable.
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spelling pubmed-83278152021-08-19 National optimisation of accessibility to emergency obstetrical and neonatal care in Togo: a geospatial analysis Curtis, Andrew Monet, Jean-Pierre Brun, Michel Bindaoudou, Issa Abdou-Kérim Daoudou, Idrissou Schaaf, Marta Agbigbi, Yawo Ray, Nicolas BMJ Open Public Health OBJECTIVES: Improving access to emergency obstetrical and neonatal care (EmONC) is a key strategy for reducing maternal and neonatal mortality. Access is shaped by several factors, including service availability and geographical accessibility. In 2013, the Ministry of Health (MoH) of Togo used service availability and other criteria to designate particular facilities as EmONC facilities, facilitating efficient allocation of limited resources. In 2018, the MoH further revised and rationalised this health facility network by applying an innovative methodology using health facility characteristics and geographical accessibility modelling to optimise timely access to EmONC services. This study compares the geographical accessibility of the network established in 2013 and the smaller network developed in 2018. DESIGN: We used data regarding travel modes and speeds, geographical barriers and topographical and urban constraints, to estimate travel times to the nearest EmONC facilities. We compared the EmONC network of 109 facilities established in 2013 with the one composed of 73 facilities established in 2018, using three travel scenarios (walking and motorised, motorcycle-taxi and walking-only). RESULTS: When walking and motorised travel is considered, the 2013 EmONC network covers 81% and 96.6% of the population at the 1-hour and 2-hour limit, respectively. These figures are slightly higher when motorcycle-taxis are considered (82.8% and 98%), and decreased to 34.7% and 52.3% for the walking-only scenario. The 2018 prioritised EmONC network covers 78.3% (1-hour) and 95.5% (2-hour) of the population for the walking and motorised scenario. CONCLUSIONS: By factoring in geographical accessibility modelling to our iterative EmONC prioritisation process, the MoH was able to decrease the designated number of EmONC facilities in Togo by about 30%, while still ensuring that a high proportion of the population has timely access to these services. However, the physical access to EmONC for women unable to afford motorised transport remains inequitable. BMJ Publishing Group 2021-07-30 /pmc/articles/PMC8327815/ /pubmed/34330852 http://dx.doi.org/10.1136/bmjopen-2020-045891 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Public Health
Curtis, Andrew
Monet, Jean-Pierre
Brun, Michel
Bindaoudou, Issa Abdou-Kérim
Daoudou, Idrissou
Schaaf, Marta
Agbigbi, Yawo
Ray, Nicolas
National optimisation of accessibility to emergency obstetrical and neonatal care in Togo: a geospatial analysis
title National optimisation of accessibility to emergency obstetrical and neonatal care in Togo: a geospatial analysis
title_full National optimisation of accessibility to emergency obstetrical and neonatal care in Togo: a geospatial analysis
title_fullStr National optimisation of accessibility to emergency obstetrical and neonatal care in Togo: a geospatial analysis
title_full_unstemmed National optimisation of accessibility to emergency obstetrical and neonatal care in Togo: a geospatial analysis
title_short National optimisation of accessibility to emergency obstetrical and neonatal care in Togo: a geospatial analysis
title_sort national optimisation of accessibility to emergency obstetrical and neonatal care in togo: a geospatial analysis
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327815/
https://www.ncbi.nlm.nih.gov/pubmed/34330852
http://dx.doi.org/10.1136/bmjopen-2020-045891
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