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Bulletin of the World Health Organization logoLink to Bulletin of the World Health Organization
. 2015 Nov 25;94(2):155–156. doi: 10.2471/BLT.15.155036

Acknowledging uncertainty about maternal mortality estimates

Rob E Dorrington a,, Debbie Bradshaw b
PMCID: PMC4750434  PMID: 26908966

Differences between estimates of maternal mortality from different research groups have been much debated.13 The data that are included or omitted and the choice of models have been discussed, but the uncertainty of the estimates has not received much attention. Attempts to estimate the maternal mortality ratio (MMR) for South Africa published in the past five years illustrate the large variability of estimates and the tendency to underestimate uncertainty, particularly when MMR is low.

Fig. 1 shows the three most recent estimates of MMR published by the Institute for Health Metrics and Evaluation (IHME)46 and the two most recent estimates published by the World Health Organization (WHO).7,8 In addition, two sets of estimates derived from local data are shown: (i) the confidential enquiry based on maternal deaths recorded in health facilities and births at those facilities;9 and (ii) the indicator used by the Health Data Advisory and Coordination Committee (HDACC) of the Department of Health.10 The latter is based on registered maternal deaths from vital registration, corrected for general incompleteness of reporting of death plus 50% to allow for maternal deaths incorrectly attributed to other causes.11 Neither of the estimates based on local data purports to produce an accurate estimate of maternal mortality, but both attempt to track changes over time on a reasonably consistent basis.

Fig. 1.

Estimates of the maternal mortality ratio for South Africa from several data sources, 2000 to 2013

HDACC: Health Data Advisory and Coordination Committee of the Department of Health; IHME: Institute for Health Metrics and Evaluation; WHO: World Health Organization.

Fig. 1

Fig. 1 includes the 95% uncertainty intervals about the WHO estimates and Fig. 2 the 95% uncertainty intervals about the IHME estimates. These intervals supposedly indicate the uncertainty about the estimates. The most recent estimates from IHME and WHO lie outside the respective 95% uncertainty intervals about their previous estimates. In the case of IHME, even though the most recent estimates acknowledge a much greater degree of uncertainty, the uncertainty intervals don’t overlap those about the immediately preceding estimates. The most striking feature of these estimates is the wide range spanned by the WHO and IHME estimates. The second feature is the difference between the most recent and second most recent published estimates. The third is that where the IHME estimates now lie above the other estimates, the WHO estimates lie below the others, in contrast to their previous estimates.

Unless a country has a nationally representative system to track maternal deaths, there is likely to be a great deal of uncertainty about maternal mortality. Currently this uncertainty is not being fully acknowledged by those attempting to estimate MMR indirectly, particularly as part of efforts to track maternal mortality globally. This, together with the fact that estimates of MMR can change significantly from one set of estimates to the next, make them useless for informing countries about what is or is not working to combat maternal mortality.

Countries should monitor the effectiveness of policy and interventions using an index for tracking changes over time, such as the institutional MMR, even if this does not necessarily produce an accurate estimate of the absolute level of the maternal mortality in the country. The global initiatives that produce country-specific estimates should allow for greater model uncertainty and balance in-depth evaluation of country-specific data against finding one model that fits all.

Given that the target 3.1 of the Sustainable Development Goals is to reduce the global maternal mortality ratio to less than 70 per 100 000 live births by 2030,12 maternal mortality will be a key indicator to measure target progress. Therefore, investment is needed in civil registration and vital statistics for improved measurement of maternal mortality by low- and middle-income countries.13

Competing interests:

None declared.

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