1 / 22

Using Cell Phones to Monitor Availability of Malaria Medicines M. Thulani Mbatha

Using Cell Phones to Monitor Availability of Malaria Medicines M. Thulani Mbatha September 15, 2010. Outline Of Presentation. Background on President’s Malaria Initiative (PMI) End Use Verification Tool Objectives of End Use Verification Tool

ugo
Download Presentation

Using Cell Phones to Monitor Availability of Malaria Medicines M. Thulani Mbatha

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Using Cell Phones to Monitor Availability of Malaria Medicines M. Thulani Mbatha September 15, 2010

  2. Outline Of Presentation • Background on President’s Malaria Initiative (PMI) End Use Verification Tool • Objectives of End Use Verification Tool • EpiSurveyor Mobile for Supply Chain & Pharmaceutical Management • Malawi Pilot • Challenges • Lessons Learned

  3. Background • The USAID | DELIVER PROJECT and MSH/SPS developed End Use Verification (EUV) Tool • A process to look at the availability and use of malaria medicines at the health facility level • 17 Supply Chain Indicators • 20 Malaria Case Management indicators

  4. Objectives of EUV Tool • Verify availability of malaria medicines • Provide evidence that malaria medicines are reaching the end users • Monitor supply chain management of malaria medicines • Provide information on malaria case management • Strengthen NMCP ongoing supervision/monitoring efforts for effective supply chain system

  5. Paper Based Tool

  6. Why EpiSurveyor? • Free mobile-phone-and-web-based data collection system • Scalable • Cost effective • Can function on simple cell phones • Open-Source • Less TA support

  7. Usefulness of EpiSurveyor • Eliminates need for data entry • Automates analysis and reporting • Reduces time and costs of data collection From Donors, NMCP, NGO Partners

  8. Malawi Pilot • Malawi supervision tool developed in early 2008 • End Use Verification tool integrated into Malawi supervision tool in 2009 • Visit to 56 health facilities (district, central, rural hospitals, and health centers) • Supply Chain and Malaria Case Management indicators

  9. Three Pilots • Practicability of basic (free) EpiSurveyor • Cell Phone Data Collection • Integration of Malawi supervision activity • Application of Global Positioning System (GPS) directly from cell phones

  10. Objectives • Strengthen supply chain system • Implement integrated Malawi supervision activity with EUV indicators • Build capacity within National Malaria Control Program (NMCP)

  11. Methodology • Fifty-six health facilities visited in one and half weeks • Five teams each with one cell phone • Updating and digitization of the forms in one week • One day training for data collectors

  12. Digitizing the Form

  13. Data Collection

  14. EpiSurveyor Overview

  15. Supply Chain Indicators • # of facilities with stock-outs for ACTs, RDTs, & drugs for the treatment of severe malaria • Expiry of ACTs stocked at the health facilities • Quantity of commodities ordered vs quantities received • Quantity of commodities received vs physical inventory • Management of pharmaceutical supplies, training levels, & storage conditions

  16. Malaria Case Management Indicators • MCM including malaria cases treated to number of treatments dispensed • # of patients presenting with fever that are diagnosed with malaria • % of uncomplicated malaria patients treated with a monotherapy • % of uncomplicated malaria cases diagnosed (Clinically, RDT, Microscopy)

  17. Data Analysis

  18. Immediate Data Analysis

  19. Challenges • Dependency on internet connectivity • Data storage for MoH • Burden of the cost by MoH • Monitoring the use of cell phones for personal use

  20. Early Lessons Learned • Scalability in resource constraints settings • Sustainability when focusing on the end users • Can save time, cost effective, apply simple everyday life tools • Less dependency on TA • Can reduce staffing needs • Can be Integrated and it is Interoperable • Less need for IT support

  21. Comments or Questions? See www.datadyne.org for more information, or www.episurveyor.org to create an account!

More Related