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The economic burden of maternal mortality on households: evidence from three sub-counties in rural western Kenya

Overview of attention for article published in Reproductive Health, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
policy
2 policy sources
twitter
3 X users

Citations

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27 Dimensions

Readers on

mendeley
225 Mendeley
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Title
The economic burden of maternal mortality on households: evidence from three sub-counties in rural western Kenya
Published in
Reproductive Health, May 2015
DOI 10.1186/1742-4755-12-s1-s3
Pubmed ID
Authors

Aslihan Kes, Sheila Ogwang, Rohini Prabha Pande, Zayid Douglas, Robinson Karuga, Frank O Odhiambo, Kayla Laserson, Kathleen Schaffer

Abstract

This study explores the consequences of a maternal death to households in rural Western Kenya focusing particularly on the immediate financial and economic impacts. Between September 2011 and March 2013 all households in the study area with a maternal death were surveyed. Data were collected on the demographic characteristics of the deceased woman; household socio-economic status; a history of the pregnancy and health care access and utilization; and disruption to household functioning due to the maternal death. These data were supplemented by in-depth and focus group discussions. The health service utilization costs associated with maternal deaths were significantly higher, due to more frequent service utilization as well as due to the higher cost of each visit suggesting more involved treatments and interventions were sought with these women. The already high costs incurred by cases during pregnancy were further increased during delivery and postpartum mainly a result of higher facility-based fees and expenses. Households who experienced a maternal death spent about one-third of their annual per capita consumption expenditure on healthcare access and use as opposed to at most 12% among households who had a health pregnancy and delivery. Funeral costs were often higher than the healthcare costs and altogether forced households to dis-save, liquidate assets and borrow money. What is more, the surviving members of the households had significant redistribution of labor and responsibilities to make up for the lost contributions of the deceased women. Kenya is in the process of instituting free maternity services in all public facilities. Effectively implemented, this policy can lift a major economic burden experienced by a very large number of household who seek maternal health services which can be catastrophic in complicated cases that result in maternal death. There needs to be further emphasis on insurance schemes that can support households through catastrophic health spending.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 225 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 63 28%
Researcher 29 13%
Student > Bachelor 24 11%
Student > Ph. D. Student 21 9%
Student > Postgraduate 14 6%
Other 31 14%
Unknown 43 19%
Readers by discipline Count As %
Medicine and Dentistry 45 20%
Nursing and Health Professions 42 19%
Social Sciences 27 12%
Economics, Econometrics and Finance 12 5%
Agricultural and Biological Sciences 10 4%
Other 37 16%
Unknown 52 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 July 2019.
All research outputs
#1,770,698
of 23,924,386 outputs
Outputs from Reproductive Health
#172
of 1,461 outputs
Outputs of similar age
#23,135
of 267,207 outputs
Outputs of similar age from Reproductive Health
#8
of 43 outputs
Altmetric has tracked 23,924,386 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,207 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.