Evidence map›Paper›PMID 21949879›Full record

ArticlePloS one2011

Economic feasibility of a new method to estimate mortality in crisis-affected and resource-poor settings.

Bayard Roberts, Oliver W Morgan, Mohammed Ghaus Sultani, Peter Nyasulu, Sunday Rwebangila, Egbert Sondorp, Daniel Chandramohan, Francesco Checchi

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Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bayard RobertsFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom. bayard.roberts@lshtm.ac.uk
Oliver W Morgan
Mohammed Ghaus Sultani
Peter Nyasulu
Sunday Rwebangila
Egbert Sondorp
Daniel Chandramohan
Francesco Checchi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMortality data provide essential evidence on the health status of populations in crisis-affected and resource-poor settings and to guide and assess relief operations. Retrospective surveys are commonly used to collect mortality data in such populations, but require substantial resources and have important methodological limitations. We evaluated the feasibility of an alternative method for rapidly quantifying mortality (the informant method). The study objective was to assess the economic feasibility of the informant method.

methodsThe informant method captures deaths through an exhaustive search for all deaths occurring in a population over a defined and recent recall period, using key community informants and next-of-kin of decedents. Between July and October 2008, we implemented and evaluated the informant method in: Kabul, Afghanistan; Mae La camp for Karen refugees, Thai-Burma border; Chiradzulu District, Malawi; and Lugufu and Mtabila refugee camps, Tanzania. We documented the time and cost inputs for the informant method in each site, and compared these with projections for hypothetical retrospective mortality surveys implemented in the same site with a 6 month recall period and with a 30 day recall period.

findingsThe informant method was estimated to require an average of 29% less time inputs and 33% less monetary inputs across all four study sites when compared with retrospective surveys with a 6 month recall period, and 88% less time inputs and 86% less monetary inputs when compared with retrospective surveys with a 1 month recall period. Verbal autopsy questionnaires were feasible and efficient, constituting only 4% of total person-time for the informant method's implementation in Chiradzulu District.

conclusionsThe informant method requires fewer resources and incurs less respondent burden. The method's generally impressive feasibility and the near real-time mortality data it provides warrant further work to develop the method given the importance of mortality measurement in such settings.

Indexed as

Cause of DeathHealth ResourcesAfghanistanAutopsyData CollectionFeasibility StudiesHumansMalawiMortalityMyanmarPopulation SurveillanceRetrospective StudiesSurveys and QuestionnairesSurvival RateTanzania

Identifiers

PMID21949879
PMCPMC3176324

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