a platform for batch analysis of national health surveys
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A platform for batch analysis of national health surveys using Stata Leonardo Ferreira International Center for Equity in Health Introduction - Activities of the ICEH - Background - Stages of the analysis - Codes in Stata - The


  1. A platform for batch analysis of national health surveys using Stata Leonardo Ferreira International Center for Equity in Health

  2. Introduction - Activities of the ICEH - Background - Stages of the analysis - Codes in Stata - The equiplot graph

  3. ICEH overview - The International Center for Equity in Health (ICEH) produces standardized and disaggregated results from household surveys - Database with over 300 surveys representing over 100 countries - Focus in RMNCH in low-and-middle income countries (LMIC) - Delivers data to international partners such as WHO, UNICEF and World Bank.

  4. Indicators and stratifiers Indicators Stratifiers - Contraceptive rate - Wealth - Measles vaccine - Sex of the child - Exclusively breastfed - Urban/rural zone children - Maternal education - Access to improved - Maternal age drinking water - Geographical region - ..over 50 indicators

  5. Surveys - Main data sources: - Demographic and Health Surveys (DHS) - Multiple Indicator Cluster Survey (MICS). - Secondary data sources: - Reproductive and Health Surveys (RHS) - National surveys The surveys are more or less standardized!

  6. SDG target for equity “to increase significantly the availability of high-quality, timely and reliable data disaggregated by income, gender, age, race, ethnicity, migratory status, disability, geographic location and 17.18 Data, monitoring other characteristics relevant and accountability in national contexts.”

  7. Why is the ICEH work important? - Able to analyse hundreds of surveys for several indicators and stratifiers - Standardized indicators allow: - Comparison among countries - Usage of global, regional and sub-national estimates - Flexibility to quickly analyse new indicators and/or stratifiers on demand

  8. Data examples - contraception National estimates Wealth disaggregated estimates

  9. Stages of the analysis Pre-analysis Analysis Post-analysis Stratify and Check against Create Control generate published indicators dataset and stratifiers outputs estimates

  10. Control dataset

  11. Obtaining control dataset information

  12. Why do we need the control dataset? Same categories, different variables Same variables, different categories

  13. Generating indicators

  14. Anymissvar & allmissvar

  15. Results in matrices

  16. The equiplot - A graph developed by the ICEH to present inequalities in subgroups - Can be used to compare countries, interventions, or time trends. - Freely available at www.equidade.org

  17. The equiplot U5MR in Bangladesh 4 interventions in by wealth quintiles Ethiopia by wealth

  18. Thank you! Leonardo Ferreira lferreira@equidade.org International Center for Equity in Health www.equidade.org

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