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Using DHS and MICS data to complement or replace NGO baseline health data: an exploratory study.

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Summary
This summary is machine-generated.

Publicly available health data from Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) can complement non-government organization (NGO) baseline data. While differences exist, many indicators align, especially when NGOs accept estimates of lower accuracy.

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Area of Science:

  • Global Health
  • Public Health Data Analysis
  • Survey Methodology

Background:

  • Non-government organizations (NGOs) invest significant resources in baseline data collection for health interventions.
  • Household surveys, often lengthy, burden marginalized populations.
  • Publicly available datasets like DHS and MICS offer existing health and social indicators.

Purpose of the Study:

  • To compare indicator estimates from NGO baseline reports with DHS/MICS data.
  • To assess the feasibility of using existing public data for NGO project planning.
  • To determine the accuracy and applicability of DHS/MICS data as NGO baseline estimates.

Main Methods:

  • Extracted 129 indicators from 46 NGO reports and 25 DHS/3 MICS datasets.
  • Created 1,996 matched pairs of NGO and DHS/MICS indicators.
  • Analyzed differences and variance by indicator, location, year, and season using ANOVA.

Main Results:

  • 33% of indicator estimates were within 5% of each other.
  • Differences were smaller for indicators with prevalence <15% or >85%.
  • Variance in differences was minimally explained by year, location, or season (<1%).

Conclusions:

  • Publicly available data can supplement NGO baseline surveys.
  • Using DHS/MICS data is most viable when NGOs can tolerate estimates of lower accuracy.
  • This approach can reduce respondent burden and resource expenditure for NGOs.