Cargando…

Factors associated with maternal mortality in Malawi: application of the three delays model

BACKGROUND: The three delays model proposes that maternal mortality is associated with delays in: 1) deciding to seek care; 2) reaching the healthcare facility; and 3) receiving care. Previously, the majority of women who died were reported to have experienced type 1 and 2 delays. With increased cov...

Descripción completa

Detalles Bibliográficos
Autores principales: Mgawadere, Florence, Unkels, Regine, Kazembe, Abigail, van den Broek, Nynke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506640/
https://www.ncbi.nlm.nih.gov/pubmed/28697794
http://dx.doi.org/10.1186/s12884-017-1406-5
_version_ 1783249602808381440
author Mgawadere, Florence
Unkels, Regine
Kazembe, Abigail
van den Broek, Nynke
author_facet Mgawadere, Florence
Unkels, Regine
Kazembe, Abigail
van den Broek, Nynke
author_sort Mgawadere, Florence
collection PubMed
description BACKGROUND: The three delays model proposes that maternal mortality is associated with delays in: 1) deciding to seek care; 2) reaching the healthcare facility; and 3) receiving care. Previously, the majority of women who died were reported to have experienced type 1 and 2 delays. With increased coverage of healthcare services, we sought to explore the relative contribution of each type of delay. METHOD: 151 maternal deaths were identified during a 12-month reproductive age mortality survey (RAMOS) conducted in Malawi; verbal autopsy and facility-based medical record reviews were conducted to obtain details about the circumstances surrounding each death. Using the three delays framework, data were analysed for women who had; 1) died at a healthcare facility, 2) died at home but had previously accessed care and 3) died at home and had not accessed care. RESULTS: 62.2% (94/151) of maternal deaths occurred in a healthcare facility and a further 21.2% (32/151) of mothers died at home after they had accessed care at a healthcare facility. More than half of all women who died at a healthcare facility (52.1%) had experienced more than one type of delay. Type 3 delays were the most significant delay for women who died at a healthcare facility or women who died at home after they had accessed care, and was identified in 96.8% of cases. Type 2 delays were experienced by 59.6% and type 1 delays by 39.7% of all women. Long waiting hours before receiving treatment at a healthcare facility, multiple delays at the time of admission, shortage of drugs, non-availability and incompetence of skilled staff were some of the major causes of type 3 delays. Distance to a healthcare facility was the main problem resulting in type 2 delays. CONCLUSION: The majority of women do try to reach health services when an emergency occurs, but type 3 delays present a major problem. Improving quality of care at healthcare facility level will help reduce maternal mortality.
format Online
Article
Text
id pubmed-5506640
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-55066402017-07-13 Factors associated with maternal mortality in Malawi: application of the three delays model Mgawadere, Florence Unkels, Regine Kazembe, Abigail van den Broek, Nynke BMC Pregnancy Childbirth Research Article BACKGROUND: The three delays model proposes that maternal mortality is associated with delays in: 1) deciding to seek care; 2) reaching the healthcare facility; and 3) receiving care. Previously, the majority of women who died were reported to have experienced type 1 and 2 delays. With increased coverage of healthcare services, we sought to explore the relative contribution of each type of delay. METHOD: 151 maternal deaths were identified during a 12-month reproductive age mortality survey (RAMOS) conducted in Malawi; verbal autopsy and facility-based medical record reviews were conducted to obtain details about the circumstances surrounding each death. Using the three delays framework, data were analysed for women who had; 1) died at a healthcare facility, 2) died at home but had previously accessed care and 3) died at home and had not accessed care. RESULTS: 62.2% (94/151) of maternal deaths occurred in a healthcare facility and a further 21.2% (32/151) of mothers died at home after they had accessed care at a healthcare facility. More than half of all women who died at a healthcare facility (52.1%) had experienced more than one type of delay. Type 3 delays were the most significant delay for women who died at a healthcare facility or women who died at home after they had accessed care, and was identified in 96.8% of cases. Type 2 delays were experienced by 59.6% and type 1 delays by 39.7% of all women. Long waiting hours before receiving treatment at a healthcare facility, multiple delays at the time of admission, shortage of drugs, non-availability and incompetence of skilled staff were some of the major causes of type 3 delays. Distance to a healthcare facility was the main problem resulting in type 2 delays. CONCLUSION: The majority of women do try to reach health services when an emergency occurs, but type 3 delays present a major problem. Improving quality of care at healthcare facility level will help reduce maternal mortality. BioMed Central 2017-07-12 /pmc/articles/PMC5506640/ /pubmed/28697794 http://dx.doi.org/10.1186/s12884-017-1406-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Mgawadere, Florence
Unkels, Regine
Kazembe, Abigail
van den Broek, Nynke
Factors associated with maternal mortality in Malawi: application of the three delays model
title Factors associated with maternal mortality in Malawi: application of the three delays model
title_full Factors associated with maternal mortality in Malawi: application of the three delays model
title_fullStr Factors associated with maternal mortality in Malawi: application of the three delays model
title_full_unstemmed Factors associated with maternal mortality in Malawi: application of the three delays model
title_short Factors associated with maternal mortality in Malawi: application of the three delays model
title_sort factors associated with maternal mortality in malawi: application of the three delays model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506640/
https://www.ncbi.nlm.nih.gov/pubmed/28697794
http://dx.doi.org/10.1186/s12884-017-1406-5
work_keys_str_mv AT mgawadereflorence factorsassociatedwithmaternalmortalityinmalawiapplicationofthethreedelaysmodel
AT unkelsregine factorsassociatedwithmaternalmortalityinmalawiapplicationofthethreedelaysmodel
AT kazembeabigail factorsassociatedwithmaternalmortalityinmalawiapplicationofthethreedelaysmodel
AT vandenbroeknynke factorsassociatedwithmaternalmortalityinmalawiapplicationofthethreedelaysmodel