beth brennan mph abt associates november 18 2014
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Beth Brennan, MPH Abt Associates November 18, 2014 Background - PowerPoint PPT Presentation

Lessons from Angola Beth Brennan, MPH Abt Associates November 18, 2014 Background Pilot Design Results Recommendations 2 Africa Indoor Residual Spraying - Presidents Malaria Initiative Large volume of manual data


  1. Lessons from Angola Beth Brennan, MPH Abt Associates November 18, 2014

  2.  Background  Pilot Design  Results  Recommendations 2

  3.  Africa Indoor Residual Spraying - President’s Malaria Initiative  Large volume of manual data collection  Multiple remote sites  Quality control difficulty  Data transport and entry time 3

  4. • Spray data collection with smartphones What? • “Real - time” quality control with tablets Who? 48 SOPs, 8 TLs Where? Huambo, Angola (~12,000 houses) When? October 2013 IRS Campaign • Quick data and reporting • Data accuracy Why? • GIS mapping/geo-coding • Establish mobile system for HH-level surveys • Potential cost savings 4

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  7. TL verifies SOP collects data Submits to cloud data and flags Submits to by spray form cloud errors M&E Mgr reconciles data, and generates Contacts TL reports Sr Mgmt has Mgmt makes operational adjustments current data 7

  8. ‣ Record GIS coordinate

  9. Team Leader Data Quality Check

  10. Team Leader Data Quality Check SOP #22 returned 3 sachets full, 2 empty

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  12. 48 SOPs trained 36 proved capable 9 switched to paper by day #3 27 used phones (56%) 13

  13.  Quick data for operational feedback  Established mobile M&E system  Robust QC system  Capacity built in seasonal staff  Successful inventory system 14

  14.  Low literacy population  Piloted villages new to IRS  An alphabetical vs. QWERTY keyboard  Initial tech failures in QC system  Data cleaning laborious 15

  15.  Pilot in higher literacy areas  Task team leaders to collect data for 2-3 SOPs  Increase length of training  Enhance view of QC system  Analyze spray coverage (i.e. GIS) with epi/ento trends  Compliment paper-based data with mobile platforms 16

  16.  Mobile phones for: ◦ supervisory purposes ◦ operational and spray campaign decision-making ◦ epi data collection in select health facilities ◦ mass-messaging for IEC/BCC 17

  17. Beth_ th_Br Bren ennan an@a @abtassoc.com btassoc.com

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