PIIRS Digitization
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PIIRS FY18
PIIRS FY19
- FY19 guidance - defining participants
- FY19 guidance - treating double counting
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- FY19 Frequently Asked Questions
PIIRS FY20
- FY20 guidance - reporting on carbon footprint
- FY20 guidance - reporting on gender pay gap
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| INDICATOR 4: Percentage of women of reproductive age (15-49 years) with anemia Percentage of children 6-23 months/ 6-59 months with anemia |
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| Why this indicator? What will it measure and provide information for? Anemia is associated with increased morbidity and mortality for children and women, and reduced work output among adults. Micronutrient deficiencies are especially devastating to pregnant women and children, as deficiencies during the first 1000 days can have lifelong effects on physical, mental, and emotional development. Anemia is a multi- factorial disorder caused mainly by iron deficiency and infections and to a lesser extent by deficiencies of vitamin A, vitamin B12, folate, and riboflavin. It is estimated that half the cases of anemia are due to iron deficiency. Anemia in women of reproductive age serves as a proxy for micronutrient deficiencies in the absence of more comprehensive indicators. |
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| What Sustainable Development Goal is the indicator connected to? * SDG Goal 2.1. * SDG Goal and 2.2. |
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| Definitions and key terms According to WHO Anemia, is a condition in which the number of red blood cells or their oxygen- carrying capacity is insufficient to meet physiologic needs. These needs vary by age, sex, altitude, smoking, and pregnancy status. |
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| Data and information required to calculate the indicator * Numerator: Numbers of women of reproductive age (15-49 years) with anemia / number of children (boys and girls) of children 6-23 months/6-59 months with anemia * Denominator: Total number of surveyed women of reproductive age (15-49 years) / Total number of surveyed children 6-23 months/6-59 months |
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| Suggested method for data collection * WHO - Iron Deficiency Anemia * WHO - Hemoglobin concentrations for the diagnosis of anemia and assessment of severity |
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| Possible data sources * Household survey * Data from clinics/health centers * Demographic and Health Survey (DHS) is implemented every five years |
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| Resources needed for data collection The quantitative and qualitative data collection, storage and analysis should be conducted by CARE and partners. Partners may include research / university partners. Data collection needs to be included in the monitoring and evaluation plan and budgeted for. |
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| Reporting results for this indicator: number of people for which the change happened * Reporting Purpose: þBaseline þProgress þ Evaluation * Changes in percentage of anemia amongst women of reproductive age and children of 6-23 months/6-59 months |
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| Questions for guiding the analysis and interpretation of data (explaining the how and why the change happened, and how CARE contributed to the change) * Denominator: What is the number of women (15-49 years) and children 96-23 months & 6-59 months) living in the project area? * Numerator: What is the number of women (15-49 years) and children 96-23 months & 6-59 months) living in the project area diagnosed with anemia? This indicator can help assess progress (success or failure) against nutrition activities targeting specifically women of reproductive (15-49 years) and children of children 6-23 months/6-59 months |
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| Other considerations * FGDs can provide qualitative verification, especially in regards to other external factors (insecurity, political instability, disasters, fail crops, diseases outbreak, market’s inflation, etc.) which could have affected food availability, access and utilization or hygiene, sanitation and health conditions. * All data collection should be done during the same period of the year due to the food access and availability issues in low income and developing countries that may influence the prevalence of anemia in the targeted populations. |
