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When it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in Mozambique using routine data
BACKGROUND: Climatic conditions and seasonal trends can affect population health, but typically, we consider the effect of climate on the epidemiology of communicable diseases. However, climate can also have an effect on access to care, particularly in remote rural areas of low- and middle-income co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559485/ https://www.ncbi.nlm.nih.gov/pubmed/33059682 http://dx.doi.org/10.1186/s12913-020-05807-0 |
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author | Stone, Briana Sambo, Júlia Sawadogo-Lewis, Talata Roberton, Timothy |
author_facet | Stone, Briana Sambo, Júlia Sawadogo-Lewis, Talata Roberton, Timothy |
author_sort | Stone, Briana |
collection | PubMed |
description | BACKGROUND: Climatic conditions and seasonal trends can affect population health, but typically, we consider the effect of climate on the epidemiology of communicable diseases. However, climate can also have an effect on access to care, particularly in remote rural areas of low- and middle-income countries. In this study, we investigate associations between the rainy season and the utilization of maternal health services in Mozambique. METHODS: We examined patterns in the number of women receiving antenatal care (ANC) and delivering at a health facility for 2012–2019, using data from Mozambique’s Health Management Information Systems. We investigated the association between seasonality (rainfall) and maternal health service utilization (ANC and institutional delivery) at national and provincial level. We fit a negative binomial regression model for institutional delivery and used it to estimate the yearly reduction in institutional deliveries due to the rainy season, with other factors held constant. We used the Lives Saved Tool (LiST) to model increases in mortality due to this estimated decrease in institutional delivery associated with the rainy season. RESULTS: In our national analysis, the rate of ANC visits was 1% lower during the rainy season, adjusting for year and province (IRR = 0.99, 95% CI: 0.96–1.03). The rate of institutional deliveries was 6% lower during the rainy season than the dry season, after adjusting for time and province (IRR = 0.94, 95% CI: 0.92–0.96). In provincial analyses, all provinces except for Maputo-Cidade, Maputo-Province, Nampula, and Niassa showed a statistically significantly lower rate of institutional deliveries in the rainy season. None were statistically significantly lower for ANC. We estimate that, due to reductions in institutional delivery attributable only to the rainy season, there were 74 additional maternal deaths and 726 additional deaths of children under the age of 1 month in 2021, that would not have died if the mothers had instead delivered at a facility. CONCLUSION: Fewer women deliver at a health facility during the rainy season in Mozambique than during the dry season. Barriers to receiving care during pregnancy and childbirth must be addressed using a multisectoral approach, considering the impact of geographical inequities. |
format | Online Article Text |
id | pubmed-7559485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75594852020-10-16 When it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in Mozambique using routine data Stone, Briana Sambo, Júlia Sawadogo-Lewis, Talata Roberton, Timothy BMC Health Serv Res Research Article BACKGROUND: Climatic conditions and seasonal trends can affect population health, but typically, we consider the effect of climate on the epidemiology of communicable diseases. However, climate can also have an effect on access to care, particularly in remote rural areas of low- and middle-income countries. In this study, we investigate associations between the rainy season and the utilization of maternal health services in Mozambique. METHODS: We examined patterns in the number of women receiving antenatal care (ANC) and delivering at a health facility for 2012–2019, using data from Mozambique’s Health Management Information Systems. We investigated the association between seasonality (rainfall) and maternal health service utilization (ANC and institutional delivery) at national and provincial level. We fit a negative binomial regression model for institutional delivery and used it to estimate the yearly reduction in institutional deliveries due to the rainy season, with other factors held constant. We used the Lives Saved Tool (LiST) to model increases in mortality due to this estimated decrease in institutional delivery associated with the rainy season. RESULTS: In our national analysis, the rate of ANC visits was 1% lower during the rainy season, adjusting for year and province (IRR = 0.99, 95% CI: 0.96–1.03). The rate of institutional deliveries was 6% lower during the rainy season than the dry season, after adjusting for time and province (IRR = 0.94, 95% CI: 0.92–0.96). In provincial analyses, all provinces except for Maputo-Cidade, Maputo-Province, Nampula, and Niassa showed a statistically significantly lower rate of institutional deliveries in the rainy season. None were statistically significantly lower for ANC. We estimate that, due to reductions in institutional delivery attributable only to the rainy season, there were 74 additional maternal deaths and 726 additional deaths of children under the age of 1 month in 2021, that would not have died if the mothers had instead delivered at a facility. CONCLUSION: Fewer women deliver at a health facility during the rainy season in Mozambique than during the dry season. Barriers to receiving care during pregnancy and childbirth must be addressed using a multisectoral approach, considering the impact of geographical inequities. BioMed Central 2020-10-15 /pmc/articles/PMC7559485/ /pubmed/33059682 http://dx.doi.org/10.1186/s12913-020-05807-0 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 Article Stone, Briana Sambo, Júlia Sawadogo-Lewis, Talata Roberton, Timothy When it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in Mozambique using routine data |
title | When it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in Mozambique using routine data |
title_full | When it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in Mozambique using routine data |
title_fullStr | When it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in Mozambique using routine data |
title_full_unstemmed | When it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in Mozambique using routine data |
title_short | When it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in Mozambique using routine data |
title_sort | when it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in mozambique using routine data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559485/ https://www.ncbi.nlm.nih.gov/pubmed/33059682 http://dx.doi.org/10.1186/s12913-020-05807-0 |
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