Prioritizing countries for interventions to reduce child mortality: tools for maximizing the impact of mass drug administration of azithromycin.
BACKGROUND
As new interventions to reduce childhood mortality are identified, careful consideration must be given to identifying populations that could benefit most from them. Promising reductions in childhood mortality reported in a large cluster randomized trial of mass drug administration (MDA) of azithromycin (AZM) prompted the development of visually compelling, easy-to-use tools that synthesize country-specific data on factors that would influence both potential AZM benefit and MDA implementation success.


RESULTS
We assessed the opportunity to reduce mortality and the feasibility of implementing such a program, creating Opportunity and Feasibility Indices, respectively. Countries with high childhood mortality were included. A Country Ranking Index combined key variables from the previous two Indices and applied a scoring system to identify high-priority countries. We compared four scenarios with varying weights given to each variable. Twenty-five countries met inclusion criteria. We created easily visualized tools to display the results of the Opportunity and Feasibility Indices. The Opportunity Index revealed substantial variation in the opportunity for an MDA of AZM program to reduce mortality, even among countries with high overall childhood mortality. The Feasibility Index demonstrated that implementing such a program would be most challenging in the countries that could see greatest benefit. Based on the Country Ranking Index, Equatorial Guinea would benefit the most from the MZA of AZM in three of the four scenarios we tested.


CONCLUSIONS
These visually accessible tools can be adapted or refined to include other metrics deemed important by stakeholders, and provide a quantitative approach to prioritization for intervention implementation. The need to explicitly state metrics and their weighting encourages thoughtful and transparent decision making. The objective and data-driven approach promoted by the three Indices may foster more efficient use of resources.
University of Washington, Seattle, Washingtion, United States of America.
Alastair I
AI
Matheson
University of Washington, Seattle, Washingtion, United States of America.
Lisa E
LE
Manhart
University of Washington, Seattle, Washingtion, United States of America.
Patricia B
PB
Pavlinac
University of Washington, Seattle, Washingtion, United States of America.
Arianna R
AR
Means
University of Washington, Seattle, Washingtion, United States of America.
Adam
A
Akullian
University of Washington, Seattle, Washingtion, United States of America.
Gillian A
GA
Levine
Bill & Melinda Gates Foundation, Seattle, Washington, United States of America.
Julie
J
Jacobson
Bill & Melinda Gates Foundation, Seattle, Washington, United States of America.
Erin
E
Shutes
University of Washington, Seattle, Washingtion, United States of America.
Judd L
JL
Walson
D017963:Azithromycin / Q000008:administration & dosage*; D002648:Child; D046688:Child Mortality; D002675:Child, Preschool; D003140:Communicable Disease Control / Q000379:methods*; D003906:Developing Countries / Q000145:classification*; D006292:Health Priorities; D006801:Humans
D017963:Azithromycin