Related Experiment Video
Updated: Oct 10, 2025
05:35
Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
Published on: January 19, 2024
970
Comparing estimated cost-effectiveness of micronutrient intervention programs using primary and secondary data:
Katherine P Adams1, Hanqi Luo1,2, Stephen A Vosti3
1Institute for Global Nutrition, Department of Nutrition, University of California, Davis, Davis, California.
Annals of the New York Academy of Sciences
|December 10, 2021
Summary
The MINIMOD-Secondary Data tool uses accessible data to model micronutrient interventions, offering qualitative insights for policymakers. While it underestimates nutrient intake, it effectively identifies cost-effective strategies for vitamin A and folate deficiencies.
Area of Science:
- Public Health Nutrition
- Health Economics
- Nutritional Epidemiology
Background:
- Designing cost-effective micronutrient interventions is challenging due to limited data.
- Micronutrient deficiencies remain a significant global health issue, particularly affecting vulnerable populations like children and women of reproductive age.
- Accurate assessment of nutrient intake and intervention effectiveness is crucial for resource allocation.
Purpose of the Study:
- To develop and validate the MINIMOD-Secondary Data (MINIMOD-SD) tool for estimating nutrient intakes and modeling intervention cost-effectiveness using secondary data.
- To assess the performance of the MINIMOD-SD tool by comparing its estimates with the full MINIMOD tool (using 24-h dietary recall) in Cameroon.
- To evaluate the tool's utility for policymakers in identifying cost-effective micronutrient interventions for vitamin A and folate.
Main Methods:
- Utilized household consumption and expenditure survey data and other secondary sources to develop the MINIMOD-SD tool.
- Modeled apparent nutrient intakes, intervention effectiveness, and cost-effectiveness.
- Compared MINIMOD-SD estimates with a full MINIMOD tool utilizing 24-h dietary recall data for vitamin A (children) and folate (women of reproductive age) in Cameroon.
Main Results:
- The MINIMOD-SD tool consistently underestimated folate intake in women and vitamin A intake in children compared to the full MINIMOD tool.
- Despite underestimation, both tools showed qualitative consistency in predicting subnational patterns of micronutrient adequacy.
- The MINIMOD-SD tool effectively identified generally consistent patterns of effective and cost-effective interventions.
Conclusions:
- Secondary data and the MINIMOD-SD tool can qualitatively inform policymakers about deficiency risks and cost-effective intervention strategies.
- For precise quantification of individual nutrient status and intervention impact, individual-level dietary data and biomarker measurements remain essential.
- The MINIMOD-SD tool provides a valuable, accessible approach for preliminary assessment and prioritization of micronutrient interventions.
Keywords:
24-h dietary recallCamerooncost-effectivenesshousehold consumption and expenditure surveymicronutrient interventionsMore Related Videos
03:35Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
Published on: December 1, 2023
399
23:56Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
Published on: October 31, 2010
16.9K
Related Concept Videos
01:20Study Designs in Epidemiology
487
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
487
01:25Statistical Methods for Analyzing Epidemiological Data
599
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
599
01:27Bioavailability Study Design: Absolute Versus Relative Bioavailability
13
Bioavailability is a crucial pharmacokinetic parameter that quantifies the proportion of an administered drug that reaches the systemic circulation and is available for therapeutic action. Regulatory agencies mandate the assessment of bioavailability, typically measured as the area under the drug plasma concentration-versus-time curve (AUC), to ensure the efficacy and safety of pharmaceutical products. These evaluations are categorized as absolute and relative bioavailability studies.Absolute...
13
01:29Bias in Epidemiological Studies
775
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
775
01:28Dosage Regimens: Designs and Approaches
20
Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
20
01:15Bioavailability Study Design: Healthy Subjects Versus Patients
16
Bioavailability studies are essential for evaluating a drug's therapeutic efficacy and understanding its absorption patterns under various physiological conditions. Conducting such studies on target patient populations provides more relevant data by simulating real-world disease states. However, practical challenges often necessitate the use of young, healthy adult volunteers as study subjects.Patients may exhibit altered drug absorption patterns due to the effects of the disease itself,...
16