Cargando…

Using data to support evidence-informed decisions about skilled birth attendants in fragile contexts: a situational analysis from Democratic Republic of the Congo

BACKGROUND: Most low- and middle-income countries are experiencing challenges in maternal health in relation to accessing skilled birth attendants (SBA). The first step in addressing this problem is understanding the current situation. We aimed to understand SBA’s availability and distribution in It...

Descripción completa

Detalles Bibliográficos
Autores principales: Baba, Amuda, Martineau, Tim, Theobald, Sally, Sabuni, Paluku, Raven, Joanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597022/
https://www.ncbi.nlm.nih.gov/pubmed/33121500
http://dx.doi.org/10.1186/s12960-020-00511-w
_version_ 1783602241432715264
author Baba, Amuda
Martineau, Tim
Theobald, Sally
Sabuni, Paluku
Raven, Joanna
author_facet Baba, Amuda
Martineau, Tim
Theobald, Sally
Sabuni, Paluku
Raven, Joanna
author_sort Baba, Amuda
collection PubMed
description BACKGROUND: Most low- and middle-income countries are experiencing challenges in maternal health in relation to accessing skilled birth attendants (SBA). The first step in addressing this problem is understanding the current situation. We aimed to understand SBA’s availability and distribution in Ituri Province, North Eastern Democratic Republic of the Congo (DRC) from 2013 to 2017. METHODS: We used available data on SBAs (doctors, nurses and midwives) from the Ituri Provincial Human Resource for Health Management Unit’s database from 2013 to 2017. The current distribution across and within three categories of district (rural, peri-urban and urban) and characteristics of SBAs as well as 5-year trends and vacancy trends were identified. Data on training outputs for SBA cadres was collected from training schools in the province. Descriptive analysis, disaggregating by district, cadre and gender where possible, was conducted using Excel. RESULTS: The national ratio of SBAs per 1000 population is four times less than the Sustainable Development Goals threshold (4.45) while the Ituri Province ratio is one of the lowest in DRC. There are more doctors and nurses in urban and peri-urban districts compared to posts, and shortages of midwives in all district categories, particularly in rural districts. From 2013 to 2017, occupied posts for doctors and nurses in all three categories of districts increase while midwives decrease in peri-urban and rural districts. There is clear gender and occupational segregation: doctors and nurses are more likely to be male, whereas midwives are more likely to be female. The projections of training outputs show a surplus against authorised posts of doctors and nursing increasing, while the shortfall for midwives remains above 75%. CONCLUSION: This is the first study to use existing human resource data to analyse availability and distribution of SBAs in a DRC province. This has provided insight into the mismatch of supply and demand of SBAs, highlighting the extreme shortage of midwives throughout the province. Further investigations are needed to better understand the situation and develop strategies to ensure a more equitable distribution of SBAs throughout this province and beyond. Without this, DRC will continue to struggle to reduce maternal mortality.
format Online
Article
Text
id pubmed-7597022
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-75970222020-11-02 Using data to support evidence-informed decisions about skilled birth attendants in fragile contexts: a situational analysis from Democratic Republic of the Congo Baba, Amuda Martineau, Tim Theobald, Sally Sabuni, Paluku Raven, Joanna Hum Resour Health Research BACKGROUND: Most low- and middle-income countries are experiencing challenges in maternal health in relation to accessing skilled birth attendants (SBA). The first step in addressing this problem is understanding the current situation. We aimed to understand SBA’s availability and distribution in Ituri Province, North Eastern Democratic Republic of the Congo (DRC) from 2013 to 2017. METHODS: We used available data on SBAs (doctors, nurses and midwives) from the Ituri Provincial Human Resource for Health Management Unit’s database from 2013 to 2017. The current distribution across and within three categories of district (rural, peri-urban and urban) and characteristics of SBAs as well as 5-year trends and vacancy trends were identified. Data on training outputs for SBA cadres was collected from training schools in the province. Descriptive analysis, disaggregating by district, cadre and gender where possible, was conducted using Excel. RESULTS: The national ratio of SBAs per 1000 population is four times less than the Sustainable Development Goals threshold (4.45) while the Ituri Province ratio is one of the lowest in DRC. There are more doctors and nurses in urban and peri-urban districts compared to posts, and shortages of midwives in all district categories, particularly in rural districts. From 2013 to 2017, occupied posts for doctors and nurses in all three categories of districts increase while midwives decrease in peri-urban and rural districts. There is clear gender and occupational segregation: doctors and nurses are more likely to be male, whereas midwives are more likely to be female. The projections of training outputs show a surplus against authorised posts of doctors and nursing increasing, while the shortfall for midwives remains above 75%. CONCLUSION: This is the first study to use existing human resource data to analyse availability and distribution of SBAs in a DRC province. This has provided insight into the mismatch of supply and demand of SBAs, highlighting the extreme shortage of midwives throughout the province. Further investigations are needed to better understand the situation and develop strategies to ensure a more equitable distribution of SBAs throughout this province and beyond. Without this, DRC will continue to struggle to reduce maternal mortality. BioMed Central 2020-10-29 /pmc/articles/PMC7597022/ /pubmed/33121500 http://dx.doi.org/10.1186/s12960-020-00511-w Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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
Baba, Amuda
Martineau, Tim
Theobald, Sally
Sabuni, Paluku
Raven, Joanna
Using data to support evidence-informed decisions about skilled birth attendants in fragile contexts: a situational analysis from Democratic Republic of the Congo
title Using data to support evidence-informed decisions about skilled birth attendants in fragile contexts: a situational analysis from Democratic Republic of the Congo
title_full Using data to support evidence-informed decisions about skilled birth attendants in fragile contexts: a situational analysis from Democratic Republic of the Congo
title_fullStr Using data to support evidence-informed decisions about skilled birth attendants in fragile contexts: a situational analysis from Democratic Republic of the Congo
title_full_unstemmed Using data to support evidence-informed decisions about skilled birth attendants in fragile contexts: a situational analysis from Democratic Republic of the Congo
title_short Using data to support evidence-informed decisions about skilled birth attendants in fragile contexts: a situational analysis from Democratic Republic of the Congo
title_sort using data to support evidence-informed decisions about skilled birth attendants in fragile contexts: a situational analysis from democratic republic of the congo
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597022/
https://www.ncbi.nlm.nih.gov/pubmed/33121500
http://dx.doi.org/10.1186/s12960-020-00511-w
work_keys_str_mv AT babaamuda usingdatatosupportevidenceinformeddecisionsaboutskilledbirthattendantsinfragilecontextsasituationalanalysisfromdemocraticrepublicofthecongo
AT martineautim usingdatatosupportevidenceinformeddecisionsaboutskilledbirthattendantsinfragilecontextsasituationalanalysisfromdemocraticrepublicofthecongo
AT theobaldsally usingdatatosupportevidenceinformeddecisionsaboutskilledbirthattendantsinfragilecontextsasituationalanalysisfromdemocraticrepublicofthecongo
AT sabunipaluku usingdatatosupportevidenceinformeddecisionsaboutskilledbirthattendantsinfragilecontextsasituationalanalysisfromdemocraticrepublicofthecongo
AT ravenjoanna usingdatatosupportevidenceinformeddecisionsaboutskilledbirthattendantsinfragilecontextsasituationalanalysisfromdemocraticrepublicofthecongo