Understanding the LQAS Test in Emergency Nutrition Surveys
Author Information
Author(s): Oleg O. Bilukha, Curtis Blanton
Primary Institution: Centers for Disease Control and Prevention
Hypothesis
Is the LQAS test the best option for interpreting cluster survey results in emergency settings?
Conclusion
The LQAS test may produce false-positive results, suggesting interventions when they may not be necessary, and reporting the probability of exceeding thresholds could provide better decision-making information.
Supporting Evidence
- The LQAS test can classify areas with low GAM prevalence as needing intervention.
- Using a simple calculator can help determine the risk of exceeding GAM thresholds.
Takeaway
The LQAS test can sometimes say there's a problem when there isn't one, so it's better to look at the actual risk of a problem instead.
Methodology
The paper discusses the LQAS hypothesis test and its implications for interpreting survey results in emergency nutrition settings.
Potential Biases
The LQAS test is prone to producing false-positive results.
Limitations
The LQAS test may lead to erroneous funding decisions and interventions in humanitarian emergencies.
Participant Demographics
Children aged 6 to 59 months are the primary focus for measuring global acute malnutrition.
Statistical Information
Confidence Interval
95%
Digital Object Identifier (DOI)
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