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Classifying caesarean section to understand rising rates among Palestinian refugees: results from 290,047 electronic medical records across five settings

BACKGROUND: Rising caesarean-section rates worldwide are driven by non-medically indicated caesarean-sections. A systematic review concluded that the ten-group classification system (Robson) is the most appropriate for assessing drivers of caesarean deliveries. Evidence on the drivers of caesarean-s...

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Autores principales: Jamaluddine, Zeina, Paolucci, Gloria, Ballout, Ghada, Al-Fudoli, Hussam, Day, Louise T., Seita, Akihiro, Campbell, Oona M. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746094/
https://www.ncbi.nlm.nih.gov/pubmed/36514024
http://dx.doi.org/10.1186/s12884-022-05264-z
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author Jamaluddine, Zeina
Paolucci, Gloria
Ballout, Ghada
Al-Fudoli, Hussam
Day, Louise T.
Seita, Akihiro
Campbell, Oona M. R.
author_facet Jamaluddine, Zeina
Paolucci, Gloria
Ballout, Ghada
Al-Fudoli, Hussam
Day, Louise T.
Seita, Akihiro
Campbell, Oona M. R.
author_sort Jamaluddine, Zeina
collection PubMed
description BACKGROUND: Rising caesarean-section rates worldwide are driven by non-medically indicated caesarean-sections. A systematic review concluded that the ten-group classification system (Robson) is the most appropriate for assessing drivers of caesarean deliveries. Evidence on the drivers of caesarean-section rates from conflict-affected settings is scarce. This study examines caesareans-section rates among Palestinian refugees by seven-group classification, compares to WHO guidelines, and to rates in the host settings, and estimates the costs of high rates. METHODS: Electronic medical records of 290,047 Palestinian refugee women using UNRWA’s (United Nations Relief and Works Agency for Palestine Refugees in the Near East) antenatal service from 2017–2020 in five settings (Jordan, Lebanon, Syria, West Bank, Gaza) were used. We modified Robson criteria to compare rates within each group with WHO guidelines. The host setting data were extracted from publicly available reports. Data on costs came from UNRWA’s accounts. FINDINGS: Palestinian refugees in Gaza had the lowest caesarean-section rates (22%), followed by those residing in Jordan (28%), West Bank (30%), Lebanon (50%) and Syria (64%). The seven groups caesarean section classification showed women with previous caesarean-sections contributed the most to overall rates. Caesarean-section rates were substantially higher than the WHO guidelines, and excess caesarean-sections (2017–2020) were modelled to cost up to 6.8 million USD. We documented a steady increase in caesarean-section rates in all five settings for refugee and host communities; refugee rates paralleled or were below those in their host country. INTERPRETATION: Caesarean-section rates exceed recommended guidance within most groups. The high rates in the nulliparous groups will drive future increases as they become multiparous women with a previous caesarean-section and in turn, face high caesarean rates. Our analysis helps suggest targeted and tailored strategies to reduce caesarean-section rates in priority groups (among low-risk women) organized by those aimed at national governments, and UNRWA, and those aimed at health-care providers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-05264-z.
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spelling pubmed-97460942022-12-14 Classifying caesarean section to understand rising rates among Palestinian refugees: results from 290,047 electronic medical records across five settings Jamaluddine, Zeina Paolucci, Gloria Ballout, Ghada Al-Fudoli, Hussam Day, Louise T. Seita, Akihiro Campbell, Oona M. R. BMC Pregnancy Childbirth Research BACKGROUND: Rising caesarean-section rates worldwide are driven by non-medically indicated caesarean-sections. A systematic review concluded that the ten-group classification system (Robson) is the most appropriate for assessing drivers of caesarean deliveries. Evidence on the drivers of caesarean-section rates from conflict-affected settings is scarce. This study examines caesareans-section rates among Palestinian refugees by seven-group classification, compares to WHO guidelines, and to rates in the host settings, and estimates the costs of high rates. METHODS: Electronic medical records of 290,047 Palestinian refugee women using UNRWA’s (United Nations Relief and Works Agency for Palestine Refugees in the Near East) antenatal service from 2017–2020 in five settings (Jordan, Lebanon, Syria, West Bank, Gaza) were used. We modified Robson criteria to compare rates within each group with WHO guidelines. The host setting data were extracted from publicly available reports. Data on costs came from UNRWA’s accounts. FINDINGS: Palestinian refugees in Gaza had the lowest caesarean-section rates (22%), followed by those residing in Jordan (28%), West Bank (30%), Lebanon (50%) and Syria (64%). The seven groups caesarean section classification showed women with previous caesarean-sections contributed the most to overall rates. Caesarean-section rates were substantially higher than the WHO guidelines, and excess caesarean-sections (2017–2020) were modelled to cost up to 6.8 million USD. We documented a steady increase in caesarean-section rates in all five settings for refugee and host communities; refugee rates paralleled or were below those in their host country. INTERPRETATION: Caesarean-section rates exceed recommended guidance within most groups. The high rates in the nulliparous groups will drive future increases as they become multiparous women with a previous caesarean-section and in turn, face high caesarean rates. Our analysis helps suggest targeted and tailored strategies to reduce caesarean-section rates in priority groups (among low-risk women) organized by those aimed at national governments, and UNRWA, and those aimed at health-care providers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-05264-z. BioMed Central 2022-12-13 /pmc/articles/PMC9746094/ /pubmed/36514024 http://dx.doi.org/10.1186/s12884-022-05264-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Jamaluddine, Zeina
Paolucci, Gloria
Ballout, Ghada
Al-Fudoli, Hussam
Day, Louise T.
Seita, Akihiro
Campbell, Oona M. R.
Classifying caesarean section to understand rising rates among Palestinian refugees: results from 290,047 electronic medical records across five settings
title Classifying caesarean section to understand rising rates among Palestinian refugees: results from 290,047 electronic medical records across five settings
title_full Classifying caesarean section to understand rising rates among Palestinian refugees: results from 290,047 electronic medical records across five settings
title_fullStr Classifying caesarean section to understand rising rates among Palestinian refugees: results from 290,047 electronic medical records across five settings
title_full_unstemmed Classifying caesarean section to understand rising rates among Palestinian refugees: results from 290,047 electronic medical records across five settings
title_short Classifying caesarean section to understand rising rates among Palestinian refugees: results from 290,047 electronic medical records across five settings
title_sort classifying caesarean section to understand rising rates among palestinian refugees: results from 290,047 electronic medical records across five settings
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746094/
https://www.ncbi.nlm.nih.gov/pubmed/36514024
http://dx.doi.org/10.1186/s12884-022-05264-z
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