When it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in Mozambique using routine data

Abstract 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-i...

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Main Authors: Briana Stone (Author), Júlia Sambo (Author), Talata Sawadogo-Lewis (Author), Timothy Roberton (Author)
Format: Book
Published: BMC, 2020-10-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Briana Stone  |e author 
700 1 0 |a Júlia Sambo  |e author 
700 1 0 |a Talata Sawadogo-Lewis  |e author 
700 1 0 |a Timothy Roberton  |e author 
245 0 0 |a When it rains, it pours: detecting seasonal patterns in utilization of maternal healthcare in Mozambique using routine data 
260 |b BMC,   |c 2020-10-01T00:00:00Z. 
500 |a 10.1186/s12913-020-05807-0 
500 |a 1472-6963 
520 |a Abstract 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. 
546 |a EN 
690 |a Seasonality 
690 |a Mozambique 
690 |a Maternal health 
690 |a Health care access 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Health Services Research, Vol 20, Iss 1, Pp 1-10 (2020) 
787 0 |n http://link.springer.com/article/10.1186/s12913-020-05807-0 
787 0 |n https://doaj.org/toc/1472-6963 
856 4 1 |u https://doaj.org/article/5c46508e9c1a46dfb31c2e1f2b16ce7f  |z Connect to this object online.