Lifetime risk of pregnancy-related death among Zambian women: district-level estimates from the 2010 census

How applicable is geospatial analysis in maternal and neonatal health in sub-Saharan Africa? A systematic review

Background

Sub-Saharan Africa (SSA) has the world's highest maternal and neonatal morbidity and mortality and has shown the slowest progress in reducing them. In addition, there is substantial inequality in terms of maternal and neonatal morbidity and mortality in the region. Geospatial studies can help prioritize scarce resources by pinpointing priority areas for implementation. This systematic review was conducted to explore the application of geospatial analysis to maternal and neonatal morbidity and mortality in SSA.

Methods

A systematic search of PubMed, SCOPUS, EMBASE, and Web of Science databases was performed. All observational and qualitative studies that reported on maternal or neonatal health outcomes were included if they used a spatial analysis technique and were conducted in a SSA country. After removing duplicates, two reviewers independently reviewed each study's abstract and full text for inclusion. Furthermore, the quality of the studies was assessed using the Joanna Briggs Institute (JBI) critical appraisal checklists. Finally, due to the heterogeneity of studies, narrative synthesis was used to summarize the main findings, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was strictly followed to report the review results. A total of 56 studies were included in the review.

Results

We found that geospatial analysis was used to identify inequalities in maternal and neonatal morbidity, mortality, and health care utilization and to identify gaps in the availability and geographic accessibility of maternal health facilities. In addition, we identified a few studies that used geospatial analysis for modelling intervention areas. We also detected challenges and shortcomings, such as unrealistic assumptions used by geospatial models and a shortage of reliable, up-to-date, small-scale georeferenced data.

Conclusions

The use of geospatial analysis for maternal and neonatal health in SSA is still limited, and more detailed spatial data are required to exploit the potential of geospatial technologies fully.

Using census data to measure maternal mortality: A review of recent experience

BACKGROUND

The Sustainable Development Goals adopted by the United Nations General Assembly in 2015 (United Nations 2015) set national targets for reducing maternal mortality, putting pressure on governments of countries lacking comprehensive statistical systems to find other ways to measure it. One approach tested since the 1990s has been to collect necessary data through national population censuses.

OBJECTIVE

This paper reviews maternal mortality data from the 2010 round of censuses for several countries to determine whether the census is useful for monitoring maternal mortality.

METHODS

Data on births, deaths, and pregnancy-related deaths from two censuses for 10 countries was evaluated using standard methods; adjustments were applied to the reported numbers if so indicated.

RESULTS

In general, the censuses underreported births moderately and underreported deaths by larger amounts; except in one case, proportions of pregnancy-related deaths appeared plausible. Adjusted estimates of the pregnancy-related mortality ratio (PRMR) were generally higher than estimates from Demographic and Health Survey sibling data or estimates of maternal mortality developed by cross-national studies.

CONCLUSIONS

Analysis of recent data confirms results of earlier assessments: Census data provides imperfect but still valuable information on maternal mortality. Data requires careful assessment and often adjustment, resulting in estimates with large uncertainty.

CONTRIBUTION

This paper provides additional evidence as to whether maternal mortality can usefully be measured by population censuses in countries lacking civil registration data.

Listening to the community: Using formative research to strengthen maternity waiting homes in Zambia

Background

The WHO recommends maternity waiting homes (MWH) as one intervention to improve maternal and newborn health. However, persistent structural, cultural and financial barriers in their design and implementation have resulted in mixed success in both their uptake and utilization. Guidance is needed on how to design a MWH intervention that is acceptable and sustainable. Using formative research and guided by a sustainability framework for health programs, we systematically collected data from key stakeholders and potential users in order to design a MWH intervention in Zambia that could overcome multi-dimensional barriers to accessing facility delivery, be acceptable to the community and be financially and operationally sustainable.

Methods and findings

We used a concurrent triangulation study design and mixed methods. We used free listing to gather input from a total of 167 randomly sampled women who were pregnant or had a child under the age of two (n = 59), men with a child under the age of two (n = 53), and community elders (n = 55) living in the catchment areas of four rural health facilities in Zambia. We conducted 17 focus group discussions (n = 135) among a purposive sample of pregnant women (n = 33), mothers-in-law (n = 32), traditional birth attendants or community maternal health promoters (n = 38), and men with a child under two (n = 32). We administered 38 semi-structured interviews with key informants who were identified by free list respondents as having a stake in the condition and use of MWHs. Lastly, we projected fixed and variable recurrent costs for operating a MWH.

Respondents most frequently mentioned distance, roads, transport, and the quality of MWHs and health facilities as the major problems facing pregnant women in their communities. They also cited inadequate advanced planning for delivery and the lack of access to delivery supplies and baby clothes as other problems. Respondents identified the main problems of MWHs specifically as over-crowding, poor infrastructure, lack of amenities, safety concerns, and cultural issues. To support operational sustainability, community members were willing to participate on oversight committees and contribute labor. The annual fixed recurrent cost per 10-bed MWH was estimated as USD543, though providing food and charcoal added another $3,000USD. Respondents identified water pumps, an agriculture shop, a shop for baby clothes and general goods, and grinding mills as needs in their communities that could potentially be linked with an MWH for financial sustainability.

Conclusions

Findings informed the development of an intervention model for renovating existing MWH or constructing new MWH that meets community standards of safety, comfort and services offered and is aligned with government policies related to facility construction, ownership, and access to health services. The basic strategies of the new MWH model include improving community acceptability, strengthening governance and accountability, and building upon existing efforts to foster financial and operational sustainability. The proposed model addresses the problems cited by our respondents and challenges to MWHs identified by in previous studies and elicits opportunities for social enterprises that could serve the dual purpose of meeting a community need and generating revenue for the MWH.