Cargando…

How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review

BACKGROUND: Sub-Saharan Africa (SSA) has the world's highest maternal and neonatal morbidity and mortality and has shown the slowest progress in reducing them. In addition, there is substantial inequality in terms of maternal and neonatal morbidity and mortality in the region. Geospatial studie...

Descripción completa

Detalles Bibliográficos
Autores principales: Alemu, Sisay Mulugeta, Tura, Abera Kenay, do Amaral, Gabriel S Gurgel, Moughalian, Catherine, Weitkamp, Gerd, Stekelenburg, Jelle, Biesma, Regien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359463/
https://www.ncbi.nlm.nih.gov/pubmed/35939400
http://dx.doi.org/10.7189/jogh.12.04066
_version_ 1784764143860973568
author Alemu, Sisay Mulugeta
Tura, Abera Kenay
do Amaral, Gabriel S Gurgel
Moughalian, Catherine
Weitkamp, Gerd
Stekelenburg, Jelle
Biesma, Regien
author_facet Alemu, Sisay Mulugeta
Tura, Abera Kenay
do Amaral, Gabriel S Gurgel
Moughalian, Catherine
Weitkamp, Gerd
Stekelenburg, Jelle
Biesma, Regien
author_sort Alemu, Sisay Mulugeta
collection PubMed
description BACKGROUND: Sub-Saharan Africa (SSA) has the world's highest maternal and neonatal morbidity and mortality and has shown the slowest progress in reducing them. In addition, there is substantial inequality in terms of maternal and neonatal morbidity and mortality in the region. Geospatial studies can help prioritize scarce resources by pinpointing priority areas for implementation. This systematic review was conducted to explore the application of geospatial analysis to maternal and neonatal morbidity and mortality in SSA. METHODS: A systematic search of PubMed, SCOPUS, EMBASE, and Web of Science databases was performed. All observational and qualitative studies that reported on maternal or neonatal health outcomes were included if they used a spatial analysis technique and were conducted in a SSA country. After removing duplicates, two reviewers independently reviewed each study's abstract and full text for inclusion. Furthermore, the quality of the studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal checklists. Finally, due to the heterogeneity of studies, narrative synthesis was used to summarize the main findings, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was strictly followed to report the review results. A total of 56 studies were included in the review. RESULTS: We found that geospatial analysis was used to identify inequalities in maternal and neonatal morbidity, mortality, and health care utilization and to identify gaps in the availability and geographic accessibility of maternal health facilities. In addition, we identified a few studies that used geospatial analysis for modelling intervention areas. We also detected challenges and shortcomings, such as unrealistic assumptions used by geospatial models and a shortage of reliable, up-to-date, small-scale georeferenced data. CONCLUSIONS: The use of geospatial analysis for maternal and neonatal health in SSA is still limited, and more detailed spatial data are required to exploit the potential of geospatial technologies fully.
format Online
Article
Text
id pubmed-9359463
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher International Society of Global Health
record_format MEDLINE/PubMed
spelling pubmed-93594632022-08-25 How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review Alemu, Sisay Mulugeta Tura, Abera Kenay do Amaral, Gabriel S Gurgel Moughalian, Catherine Weitkamp, Gerd Stekelenburg, Jelle Biesma, Regien J Glob Health Articles BACKGROUND: Sub-Saharan Africa (SSA) has the world's highest maternal and neonatal morbidity and mortality and has shown the slowest progress in reducing them. In addition, there is substantial inequality in terms of maternal and neonatal morbidity and mortality in the region. Geospatial studies can help prioritize scarce resources by pinpointing priority areas for implementation. This systematic review was conducted to explore the application of geospatial analysis to maternal and neonatal morbidity and mortality in SSA. METHODS: A systematic search of PubMed, SCOPUS, EMBASE, and Web of Science databases was performed. All observational and qualitative studies that reported on maternal or neonatal health outcomes were included if they used a spatial analysis technique and were conducted in a SSA country. After removing duplicates, two reviewers independently reviewed each study's abstract and full text for inclusion. Furthermore, the quality of the studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal checklists. Finally, due to the heterogeneity of studies, narrative synthesis was used to summarize the main findings, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was strictly followed to report the review results. A total of 56 studies were included in the review. RESULTS: We found that geospatial analysis was used to identify inequalities in maternal and neonatal morbidity, mortality, and health care utilization and to identify gaps in the availability and geographic accessibility of maternal health facilities. In addition, we identified a few studies that used geospatial analysis for modelling intervention areas. We also detected challenges and shortcomings, such as unrealistic assumptions used by geospatial models and a shortage of reliable, up-to-date, small-scale georeferenced data. CONCLUSIONS: The use of geospatial analysis for maternal and neonatal health in SSA is still limited, and more detailed spatial data are required to exploit the potential of geospatial technologies fully. International Society of Global Health 2022-08-09 /pmc/articles/PMC9359463/ /pubmed/35939400 http://dx.doi.org/10.7189/jogh.12.04066 Text en Copyright © 2022 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Alemu, Sisay Mulugeta
Tura, Abera Kenay
do Amaral, Gabriel S Gurgel
Moughalian, Catherine
Weitkamp, Gerd
Stekelenburg, Jelle
Biesma, Regien
How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review
title How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review
title_full How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review
title_fullStr How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review
title_full_unstemmed How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review
title_short How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review
title_sort how applicable is geospatial analysis in maternal and neonatal health in sub-saharan africa? a systematic review
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359463/
https://www.ncbi.nlm.nih.gov/pubmed/35939400
http://dx.doi.org/10.7189/jogh.12.04066
work_keys_str_mv AT alemusisaymulugeta howapplicableisgeospatialanalysisinmaternalandneonatalhealthinsubsaharanafricaasystematicreview
AT turaaberakenay howapplicableisgeospatialanalysisinmaternalandneonatalhealthinsubsaharanafricaasystematicreview
AT doamaralgabrielsgurgel howapplicableisgeospatialanalysisinmaternalandneonatalhealthinsubsaharanafricaasystematicreview
AT moughaliancatherine howapplicableisgeospatialanalysisinmaternalandneonatalhealthinsubsaharanafricaasystematicreview
AT weitkampgerd howapplicableisgeospatialanalysisinmaternalandneonatalhealthinsubsaharanafricaasystematicreview
AT stekelenburgjelle howapplicableisgeospatialanalysisinmaternalandneonatalhealthinsubsaharanafricaasystematicreview
AT biesmaregien howapplicableisgeospatialanalysisinmaternalandneonatalhealthinsubsaharanafricaasystematicreview