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Nutrition Information Systems in Kenya

Nutrition Information Systems in Kenya. Feb 1, 2007. Main Sources of Nutrition Data. National Level Data CHANIS (regular national data) KDHS (periodic national survey) HBS (periodic national survey) MICS (periodic national survey) Large Coverage (sub-national)

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Nutrition Information Systems in Kenya

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  1. Nutrition Information Systems in Kenya Feb 1, 2007

  2. Main Sources of Nutrition Data • National Level Data • CHANIS (regular national data) • KDHS (periodic national survey) • HBS (periodic national survey) • MICS (periodic national survey) • Large Coverage (sub-national) • ALRMP Early Warning System • District / sub-District • Ad hoc nutrition assessments • Targeted nutrition intervention data • Research data collected ad hoc, location specific

  3. Types of Nutrition Data • Anthropometric Data • MUAC trend data • Weight-for-Height (GAM, SAM etc) • Weight-for-Age • Non-Anthropometric Data • Vitamin A data • Breastfeeding practices

  4. Overview Examples of Specific Systems

  5. Large Scale Surveys • i.e. KDHS, KHBS, MICS • Data collected at Provincial Level • Small components of nutrition • Main source of data for long term nutrition strategy and planning • Issues • Low resolution of nutrition data • Nutrition data quality

  6. CHANIS • Data: Weight for Age data for children <5yrs, Clinical diagnosis of acute malnutrition. • Data Flow: collected at the health centre level, sent to the district then to the National level. • Data Analysis: Limited analysis at national level with little or no analysis at the district level for trends. • Data Utilisation: Limited use, for the end of year HMIS report that is subsequently used for policy making and planning. However due to the nature of the analysis it is not possible to make clear policy currently. • Data Quality: Variable by health centre, generally low

  7. ALRMP EWS • Data: MUAC 12-59months • Data Flow: Sentinel site data collection on a monthly basis, longitudinal (i.e. same children). Community to district for analysis and reporting. • Data Analysis: Trend analysis based on changes in %children <135mm MUAC, comparison with reference year. • Data Utilisation: Data used as an outcome indicator for other household data collected by the EWS. Trends are used to denote a changing situation and contributes to phase classification at District/sub-District level. National summary mainly of process indicators of EWS (i.e. market prices). • Data Quality: Measurement quality fair, sampling issues being resolved.

  8. Ad hoc Nutrition Assessments • Data: 6-59months; height, weight, age, MUAC; mortality; other nutrition related data on immediate / underlying causes • Data Flow: Cross-sectional data at district/sub-district level. Implementer often retains report for internal use, national level dissemination through coordination structures

  9. Ad hoc Nutrition Assessments • Data Analysis: Survey nutritionist using standard stats packages. No national minimum standard reporting format. • Data Utilisation: Mainly for emergency programming • Data Quality: Higher than most. Need to provide data quality control measures.

  10. Issues for Developing a National Nutrition Information System

  11. General Issues • Institutions that collect nutrition data need support to strengthen • Collection of data • Process data • Analyze data • Disseminate information • Better understanding of how data from different systems relate in order to make informed decisions. • Central processing and analysis of data for global statements on nutrition status and trends for policy making and reference.

  12. Current Ways Forward • Nutrition Assessment Guidelines being finalized • UNICEF support to developing National NIS • Capacity building to institutions managing nutrition information • Developing framework for sharing and disseminating nutrition information

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