Ngala, Nigeria: Emergency aid to victims of violence and displacement
Opinion

Mortality emergency threshold: A case for revision

Fabrice Weissman
Fabrice
Weissman

Graduated from the Institut d'Etudes Politiques de Paris, Fabrice Weissman joined MSF in 1995. He spent several years as logistician and head of mission in Sub-Saharian Africa (Sudan, Eritrea, Ethiopia, Liberia, Sierra Leone, Guinea, etc.), Kosovo, Sri Lanka and more recently Syria. He has published several articles and books on humanitarian action, including "In the Shadow of Just Wars. Violence, Politics and Humanitarian Action" (ed., London, Hurst & Co., 2004), "Humanitarian Negotiations Revealed. The MSF Experience" (ed., Oxford University Press, 2011) and "Saving Lives and Staying Alive. Humanitarian Security in the Age of Risk Management" (ed., London, Hurst & Co, 2016).

Article first published on ALNAP website.

The crude mortality rate (CMR) is one of the most widely used indicators at MSF and the humanitarian sector to evaluate the severity of a health crisis within a given population Usually expressed in « number of dead per 10 000 and per day”, the CMR can be calculated in two different ways. As for one, based on a retrospective mortality survey focusing on both past and recent health condition of a population; as for two, via monitoring system measuring the mortality evolution among a given population in real time.. It is widely recognized that a CMR equal to or greater than one death per 10,000 persons a day signifies an emergency situation requiring an immediate response. However, the usage of the standard emergency threshold as “1/10,000/day” is very questionable: it goes against the official recommendations endorsed by humanitarian organizations and ignores the worldwide decline in mortality rates over the last 30 years.

According to the Sphere The SPHERE Project: Humanitarian Charter and Minimum Standards in Disaster Response and the United Nations High Commissioner for Refugees (UNHCR) United Nations High Commissioner for Refugees (UNHCR), Handbook for Emergencies, Third Editionemergency handbooks, an emergency should be declared when the crude mortality rate among a given population is at least two times greater than its “normal” value. For UNHCR, the normal mortality rate corresponds to the “baseline mortality of the population prior to displacement, or of the population in the host country”, while Sphere considers it to be the “baseline rate documented for the population prior to the disaster”. It is only when “the baseline rate is unknown or of doubtful validity” that HCR and Sphere recommend either using the global 1/10,000/day emergency threshold or the regional thresholds calculated for Sub-Sharan Africa, Middle-East and other regions“A doubling or more of the baseline CMR indicates a significant public health emergency, requiring immediate response.” When the baseline rate is unknown or of doubtful validity, agencies should aim to maintain the CMR at least below 1.0/10,000/day.” SPHERE, p. 310..  

The choice of the reference value has very concrete consequences for how aid professionals interpret the gravity of a situation. For example, using the emergency threshold of 1 death/10,000/day, MSF epidemiologists estimated that during the first semester of 2015, the overall situation of displaced people and residents living in Maiduguri in Northeast Nigeria wasn’t catastrophic- despite the fact that more than one million villagers had recently sought refuge in town to escape the abuses of Boko Haram and the Nigerian army. A retrospective mortality survey conducted on Maiduguri suburbs estimated that the CMR of the resident population was at 0.19/10,000/day, while that of the displaced population was at 0.41/10,000/day. Since both values were “below the emergency threshold level of 1/10000/day defined for the developing countries in Sub-Saharan AfricaEPICENTRE, Médecins Sans Frontières, Retrospective Mortality Survey and Rapid Nutritional Assessment of Displaced Persons living in the Jere LGA, Maiduguri, Borno State, Nigeria, Paris, July 2015., the results were interpreted as reassuring, and were used by MSF headquarters to justify reducing activity starting that December.

This decision was contested by the field teams who considered that, based on their activities and observations, the situation of the displaced population remained in critical condition. In fact, by applying the HCR’s definition of the emergency threshold, one could have concluded that the CMR in displaced population was above the emergency threshold since it was twice the CMR in the resident population - 0.41/10,000/day and 0.19/10,000/day, respectively. In this case, the field team had reason to disagree with the interpretation of the survey results, which considered it normal that displaced villagers in Maiduguri died at a rate twice as high as their resident neighbors. 

The use of the threshold of 1/10,000/day is even more questionable since this standard was set more than 30 years ago. It corresponds to the CMR set forth in 1985 by the US State Department to decree health emergency in a refugee campBureau for Refugee Programs. Assessment Manual for Refugee Emergencies. Washington, DC: US Dept of State; 1985.This threshold was endorsed by the CDC in 1992 based on the following logic: “In many African countries, the daily CMR (extrapolated from published annual rates) is approximately 0.5/10,000/day during non-emergency conditions. In general, health workers should be extremely concerned when crude mortality rates in a displaced population exceed 1/10,000/day.”Famine-Affected, Refugee, and Displaced Populations: Recommendations for Public Health Issues (supervised by Mike J. Toole, M.D., DTM&H) MMWR 1992; 41(No. RR-13). Collaborateur d’Epicentre, Mike Toole est également co-fondateur de MSF Australie.In other words, the threshold of 1/10,000/day corresponds to double the average mortality rate recorded in Africa in the mid 1980’s.

Since then, average mortality rate in Sub-Saharan African has been halved (from 0.45 to 0.25/10,000/day, according to the World Bankhttps://donnees.banquemondiale.org/indicateur/SP.DYN.CDRT.IN?contextual=region&locations=ZG-1W&view=chart ) while the worldwide average mortality scale has significantly fallen to 0.21/10,000/day (see figure). The 1/10,000/day emergency threshold currently corresponds to four times the average mortality rate in Sub-Saharan Africa and five times the world average. 

This choice of reference value to qualify emergency situations is highly political, since it determines the level from which we judge the number of deaths to be “excessive” enough to justify exceptional measures. When using 1/10,000/day as a gold standard of acceptable mortality, aid organizations follow a relief policy that is both backwards and contrary to their own recommendations.

Perhaps aid actors need a universal emergency benchmark to compare the gravity of different situations. This global emergency threshold should logically correspond to double the “normal mortality” from a statistical point of view, which is to say double the current average world mortality rate. Since this requires a value that is easy to remember, why not round off the global emergency threshold to 0.5/10,000/day? In any case, redefining the global emergency threshold should not be a barrier to using local emergency thresholds in each specific situation, as it is officially recommended in aid manuals.

The opinions expressed in this article are the author's own. Thanks to Matthew Coldiron (Epicentre), who edited the original versions of the article and helped refine its scope. 

Taux de mortalité, brut (pour 1 000 personnes)

To cite this content :
Fabrice Weissman, “Mortality emergency threshold: A case for revision”, 25 juin 2018, URL : https://msf-crash.org/en/blog/medicine-and-public-health/mortality-emergency-threshold-case-revision

If you want to criticize or develop this content, you can find us on twitter or directly on our site.

Contribute

Add new comment

CAPTCHA
Cette question consiste à tester si vous êtes ou non un visiteur humain et à éviter les demandes automatisées de spam.