Service Statistics and Estimated Modern Use Tool

introduction to service statistics to estimated n.w
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Explore the purpose, components, and data sources used in the Service Statistics to Estimated Modern Use Tool to analyze family planning service data and compare it with modern contraceptive prevalence rates. This presentation sheds light on the importance of data quality and its impact on decision-making processes.

  • Service Statistics
  • Modern Use Tool
  • Data Analysis
  • Family Planning
  • Impact Meeting

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Presentation Transcript


  1. Introduction to Service Statistics to Estimated Modern Use Tool Name, Data for Impact Meeting or event Date

  2. Objectives Understand the reason to use the SS to EMU tool. Describe the components of the SS to EMU tool. Define and identify the type of data to be used in the SS to EMU tool.

  3. Purpose of the SS to EMU Tool Review FP service statistics data. Compare FP service data against modern contraceptive prevalence rate (mCPR) trends from surveys or other modeled estimates of mCPR. Identify indicators or data elements with quality problems. Inform where data quality problems are located. Determine whether problems are limited to specific regions and/or certain methods.

  4. Components of the SS to EMU Tool Data entry Output review

  5. Type of Data Used in the SS to EMU Tool Service delivery aggregate routine data Population data: oNational survey oDemographic and Health Survey(s) (DHS) oUnited Nations Development Programme (UNDP) mCPR estimates oUNICEF Multiple Indicator Cluster Survey(s) (MICS) oOther estimate surveys

  6. This presentation was produced with the support of the United States Agency for International Development (USAID) under the terms of the Data for Impact (D4I) associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed in this publication do not necessarily reflect the views of USAID or the United States government. www.data4impactproject.org

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