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Early detection of maternal deaths in Senegal through household-based death notification integrating verbal and social autopsy: a community-level case study

Overview of attention for article published in BMC Health Services Research, January 2015
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  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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6 X users
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1 Facebook page

Citations

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16 Dimensions

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188 Mendeley
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Title
Early detection of maternal deaths in Senegal through household-based death notification integrating verbal and social autopsy: a community-level case study
Published in
BMC Health Services Research, January 2015
DOI 10.1186/s12913-014-0664-4
Pubmed ID
Authors

Mosa Moshabela, Massamba Sene, Ingrid Nanne, Yombo Tankoano, Jennifer Schaefer, Oumulkhairy Niang, Sonia Ehrlich Sachs

Abstract

BackgroundReliable detection of maternal deaths is an essential prerequisite for successful diagnosis of barriers to care and formulation of relevant targeted interventions. In a community-level case study, the use of household-level surveillance in Senegal unveiled an apparent increase in maternal deaths, which triggered a rapid-cycle collaborative response to implement a multipronged set of quick-win and sustained interventions intended to improve quality care.MethodsPart of a multi-country effort, the Millennium Villages Project is implementing a routine community-level information system in Senegal, able to detect maternal deaths in real-time and uncover clinical and social factors contributing to mortality. Within this geographically demarcated area of approximately 32 000 inhabitants, with a well-structured health system with patient referral services, deaths were registered and notified by community health workers, followed by timely verbal and social autopsies. Using the Pathway to Survival conceptual framework, case analysis and mortality reviews were conducted for evaluation and quality improvement purposes.ResultsThe estimated maternal mortality rates rose from 67/100000 births in 2009 (1 death), to 202/100000 births in 2010 (3 deaths) and 392/100000 births (5 deaths) in 2011. Although absolute numbers of maternal deaths remained too small for robust statistical analysis, following verbal autopsy analyses in 2011, it became evident that an unexpectedly high proportion of maternal deaths were occurring at the referral hospital, mostly post-Caesarian section. Inadequate case management of post-partum haemorrhage at the referral hospital was the most frequently identified probable cause of death. A joint task team systematically identified several layers of inefficiencies, with a potential negative impact on a larger catchment area than the study community.ConclusionsIn this study, routine community-based surveillance identified inefficiencies at a tertiary level of care. Community-level surveillance systems that include pregnancy, birth and death tracking through household visits by community health workers , combined with verbal and social autopsy can identify barriers within the continuum of maternal care. Use of mHealth data collection tools sensitive enough to detect small changes in community-level mortality trends in real-time, can facilitate rapid-cycle quality improvement interventions, particularly when associated with social accountability structures of mortality reviews.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Ethiopia 1 <1%
Ghana 1 <1%
Unknown 184 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 23%
Researcher 24 13%
Student > Ph. D. Student 23 12%
Student > Doctoral Student 15 8%
Student > Postgraduate 14 7%
Other 34 18%
Unknown 35 19%
Readers by discipline Count As %
Medicine and Dentistry 57 30%
Social Sciences 26 14%
Nursing and Health Professions 24 13%
Computer Science 6 3%
Psychology 5 3%
Other 27 14%
Unknown 43 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 31 March 2015.
All research outputs
#5,705,654
of 22,786,691 outputs
Outputs from BMC Health Services Research
#2,511
of 7,623 outputs
Outputs of similar age
#77,154
of 351,864 outputs
Outputs of similar age from BMC Health Services Research
#19
of 78 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,623 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 67% 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 351,864 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.