End-Use Verification Survey

The contents on this webpage support the collection, validation, analysis, and reporting of the  End-Use Verification (EUV) survey in a way that aims for consistency and quality of data across the entities that conduct this survey. Per data confidentiality policies of the countries collecting this data, the data are not distributed publicly.

Download the EUV Survey Toolkit in English or French

The EUV survey funded by the U.S. Agency for International Development (USAID) is a country-implemented and managed health facility survey used to monitor the availability of malaria, family planning (FP), and maternal, newborn, and child health (MNCH) commodities. It can also be used to:

  • Gain insights into the reasons for commodity stockouts
  • Assess gaps or challenges with inventory management and commodity storage practices and conditions of facilities and equipment
  • Assess gaps in training and supervision
  • Confirm that malaria diagnosis and treatment practices conform to national guidelines
  • Assess if available artemisinin-based combination therapies (ACTs) are WHO-prequalified
  • Inform strategic planning at country and global levels

EUV v.2.0: Revisions and Additional Tools

As EUV data continue to be used by many country stakeholders to make policy and planning decisions and to monitor changes over time, PMI together with the USAID Global Health Supply Chain Program – Procurement and Supply Management (GHSC-PSM) project updated the questionnaire and accompanying materials (referred to as the “EUV Package”) in 2018 and 2019 with the following goals:

  • To standardize the survey across countries for uniform data quality;
  • To centralize survey management to ensure timely access to the raw and analyzed data by authorized users and to better coordinate support to country EUV teams;
  • To ensure a minimum and quantifiable level of data confidence that is representative at the national level in all countries;
  • To strengthen the reliability of the data by increasing the robustness of the survey questionnaire; and
  • To add standard indicators that can increase users’ understanding of specific stock management challenges and their underlying causes.

The revised EUV package intends to make the data more useful for decision making, while still maintaining the original goal of ensuring rapid data availability to monitor the availability of malaria commodities in PMI-supported countries.

History of the Survey

The survey was developed in 2008 by PMI in collaboration with the USAID | DELIVER PROJECT and the Strengthening Pharmaceutical Systems Program (later the Systems for Improved Access to Pharmaceuticals and Services Program) to monitor the availability of malaria commodities in PMI-supported countries. The EUV was designed as a temporary exercise led by USAID implementing partners (in close collaboration with USAID missions and country ministries of health or other government counterparts) to collect important supply chain data that a country’s logistics management information system (LMIS) may not be able to provide at all, or at a sufficient level of quality or geographic reach.

Contents of the Updated EUV Package

  • An updated, standardized survey questionnaire in SurveyCTO, including new standard modules for MNCH and FP/RH commodities
  • An updated sampling approach including sampling tool, instructions and description template
  • Standard training curriculum covering data collection and validation
  • Performance Indicator Reference Sheets (PIRS)
  • An Excel-based (“paper”) survey tool to supplement/support the electronic data entry
  • An updated PMI reporting template that includes the new standard indicators, along with an Excel-based tool to help produce the required tables and graphs
  • MNCH and FP reporting templates, along with an Excel-based tool to help produce the required tables and graphs
  • EUV planning quick reference guide
  • Background and context information sheet
  • Data dictionary

Software Requirements

  • SurveyCTO
  • MS Excel
  • MS Word
  • Mobile device (IOS or Android) recommended for data collection