Users' guides to the medical literature: how to use an article about mortality in a humanitarian emergency
2008

Understanding Mortality Surveys in Humanitarian Crises

Sample size: 19500 publication 10 minutes Evidence: moderate

Author Information

Author(s): Mills Edward J, Checchi Francesco, Orbinski James J, Schull Michael J, Burkle Frederick M Jr, Beyrer Chris, Cooper Curtis, Hardy Colleen, Singh Sonal, Garfield Richard, Woodruff Bradley A, Guyatt Gordon H

Primary Institution: Simon Fraser University

Hypothesis

In the protracted conflict setting of the Democratic Republic of Congo, to what extent is mortality elevated in conflict zones compared to other countries in the region, and what is the nature of any increase in mortality?

Conclusion

The study found that mortality related to violence in the region was a comparatively small contributor to overall mortality rates, with most deaths resulting from non-violent causes.

Supporting Evidence

  • The study found a national Crude Mortality Rate (CMR) of 2.1 deaths per 1,000 per month.
  • Children under 5 accounted for 45% of all deaths.
  • Mortality rates were higher in the Eastern conflict-affected provinces than the Western provinces.

Takeaway

This study helps us understand how many people are dying in conflict areas and why, showing that many deaths are due to things like hunger and disease, not just violence.

Methodology

The study used retrospective mortality surveys, sampling households to gather data on deaths and their causes over a specified recall period.

Potential Biases

Potential biases include selection bias from non-random sampling and under-reporting of deaths.

Limitations

The study may not fully represent the current situation due to changes in conflict dynamics and health infrastructure.

Participant Demographics

The study included households from various regions of the Democratic Republic of Congo, focusing on both conflict-affected and non-affected areas.

Statistical Information

P-Value

0.001

Confidence Interval

95% CI 1.6–2.6

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1186/1752-1505-2-9

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication