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

Moshabela, Mosa, Sene, Massamba, Nanne, Ingrid, Tankoano, Yombo, Schaefer, Jennifer, Niang, Oumulkhairy, and Sachs, Sonia Ehrlich (2015) Early detection of maternal deaths in Senegal through household-based death notification integrating verbal and social autopsy: a community-level case study. BMC Health Services Research, 15 (16). pp. 1-9.

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Abstract

Background: Reliable 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.

Methods: Part 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.

Results: The 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.

Conclusions: In 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.

Item ID: 41644
Item Type: Article (Research - C1)
ISSN: 1472-6963
Keywords: maternal mortality, verbal autopsy, social autopsy, community health worker, quality improvement, quality of care, pathway to survival, mHealth, Africa
Additional Information:

© 2015 Moshabela et al.; licensee BioMed Central. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.

Date Deposited: 08 Dec 2015 15:41
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1114 Paediatrics and Reproductive Medicine > 111402 Obstetrics and Gynaecology @ 100%
SEO Codes: 92 HEALTH > 9205 Specific Population Health (excl. Indigenous Health) > 920507 Womens Health @ 100%
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