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Updated: Dec 25, 2025

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy
Comparing hemoglobin distributions between population-based surveys matched by country and time
Daniel J Hruschka1, Anne M Williams2,3, Zuguo Mei2
1School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA. Daniel.Hruschka@asu.edu.
Hemoglobin measurement differences between Demographic and Health Survey (DHS) and Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) surveys led to varied anemia prevalence estimates. Further research is needed to understand these discrepancies.
Area of Science:
- Global health
- Nutritional epidemiology
- Biomarker analysis
Background:
- Accurate hemoglobin measurement is crucial for public health interventions.
- Comparing hemoglobin data from different large-scale surveys is essential for reliable global health assessments.
- The Demographic and Health Survey (DHS) and Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) are key sources of anemia data.
Purpose of the Study:
- To compare hemoglobin distributions and anemia prevalence between DHS and BRINDA surveys.
- To identify potential discrepancies in anemia estimates derived from different survey methodologies.
- To inform future strategies for robust anemia monitoring and intervention targeting.
Main Methods:
- Matched nationally representative surveys from four countries were analyzed.
- Hemoglobin levels were measured using HemoCue® with capillary blood (DHS) and venous blood (BRINDA).
- Data from 17,719 children and 21,594 non-pregnant women were compared for distributional statistics and anemia prevalence.
Main Results:
- Significant differences in anemia estimates were observed in three out of four countries.
- Anemia prevalence was consistently lower in BRINDA surveys compared to DHS surveys.
- Differences ranged from 9 to 31 percentage points for children and 1 to 16 percentage points for women.
Conclusions:
- Substantial variations in anemia estimates exist between DHS and BRINDA surveys for similar populations.
- The underlying causes for these measurement differences require further investigation.
- Improving the consistency of anemia data is vital for accurate population comparisons and tracking progress over time.
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