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Mobile Data CollectionCRS’ experience with a nationwide survey in Sierra                      Leone                       ...
• How many of you have a smart phone?Source: DataDyne
ICT4D in CRS’ health programmingTechnology is used to…                             • Collect and store project data i.e., ...
What is Mobile Data Collection?• The gathering of  data on portable  electronic devices• The storage of  the data in a saf...
Benefits of Mobile Data Collection• Availability of real-time  information• Reduced costs• Improved data quality• Enriched...
Project Background•   Malaria National    Knowledge, Attitudes,    Practices Survey    •   Complex structure (parent      ...
ICT4D Project Lifecycle MethodologyInitiate     Analyze      Architect &   Implement &            Operate &               ...
Project Timeline                     - Project definition sheet             - GKIM representative                         ...
ICT Solution•   4 weeks of data collection•   89 enumerators•   iFormBuilder•   iPhone 3GS•   HQ GKIM Staff Support
Data Backup Plan
Project Timeline          - Secured technology                       - Handover of the phones to                         -...
Key Challenges• Underestimation of time required for  each activity• Technology didn’t always perform as  expected• Tech s...
Key Successes• The phones were largely a hit• The functioning skips and validations  led to a cleaner data set• Data colle...
Lessons Learned• Budget enough time• Involve partners early• Necessity of resources and tools  for planning process• Test ...
Lessons Learned• Demand longitudinal support• Communicate regularly between  program and ICT staff• Have a plan B• Monitor...
• Question: Should I embrace mobile data  collection for my organization/program?• Answer:
Thank You Thanks to Pei Ni Ong and Emily  Bostick and other members of    the CRS ICT4D team for the  content in some of t...
mHealth and INGO Progress_Perrin_10.11.12
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mHealth and INGO Progress_Perrin_10.11.12

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mHealth and INGO Progress_Perrin_10.11.12

  1. 1. Mobile Data CollectionCRS’ experience with a nationwide survey in Sierra Leone Presenter: Paul Perrin Senior Technical Advisor for M&E, OR, and Learning in Health and HIV CORE Group Fall Meeting, Washington, DC October 11, 2012
  2. 2. • How many of you have a smart phone?Source: DataDyne
  3. 3. ICT4D in CRS’ health programmingTechnology is used to… • Collect and store project data i.e., beneficiary registration, Collect Mobile Data services rendered and impact indicators • Analyze project data and generate reports to meet donor Analyze and Report requirements • Track and monitor where and what services are rendered to Track and Monitor whom, providing visibility to stakeholders • Disseminate project information widely to partners, field Raise Awareness agents, community workers, and beneficiaries to raise awareness and facilitate distance learning programs • Support two way communication between CRS staff, partnerCommunicate and Train staff, field agents, community workers, and beneficiaries in dispersed locations • Provide services to beneficiaries with limited infrastructureProvide Remote Services e.g. banking, access to market prices, weather data, patient care information, disaster warning and learning programs
  4. 4. What is Mobile Data Collection?• The gathering of data on portable electronic devices• The storage of the data in a safe electronic database• The retrieval of the data for analysis and reporting purposes
  5. 5. Benefits of Mobile Data Collection• Availability of real-time information• Reduced costs• Improved data quality• Enriched data content• Increased participant motivation
  6. 6. Project Background• Malaria National Knowledge, Attitudes, Practices Survey • Complex structure (parent forms and child forms) • 8000 respondents• Partners • Ministry of Health and Sanitation • National Malaria Control Program • Dept. of Planning and Information • WHO • Statistics Sierra Leone
  7. 7. ICT4D Project Lifecycle MethodologyInitiate Analyze Architect & Implement & Operate & DeployRequest Requirements Design Test Maintain
  8. 8. Project Timeline - Project definition sheet - GKIM representative - Tested charging plan November-December OctoberAugust - September - Reviewed various provided demonstration and backup plan before technology solutions - GKIM trained CRS/SL procuring - Tested top available staff in use of technology - Made order for phones, solutions through GKIM -Created a connection cases, chargers, battery and CRS/SL plan, licensing plan, packs - Presented to CRS/SL charging plan and data - Defined variables and and local stakeholders backup plan programmed skeleton survey - Engaged service provider and consultant - Finalized tool and field test
  9. 9. ICT Solution• 4 weeks of data collection• 89 enumerators• iFormBuilder• iPhone 3GS• HQ GKIM Staff Support
  10. 10. Data Backup Plan
  11. 11. Project Timeline - Secured technology - Handover of the phones to - Phones returned to CRS Late February-MarchJanuary February licensing implementing partner and checked - Set up and configured - Data collection - Filled in gaps for missing phones - Data quality monitoring enumeration areas - Programmed complex logic - Data cleaning - Created mock database - Extensive problem solving and performed checks to fix database - Finalized manuals for data - Analysis and report writing collection and phone use - Trained enumerators on the tool and the phones - Tested iFormBuilder in one- day field test
  12. 12. Key Challenges• Underestimation of time required for each activity• Technology didn’t always perform as expected• Tech support for program and field team• Security of goods• Rushing led to some programming errors
  13. 13. Key Successes• The phones were largely a hit• The functioning skips and validations led to a cleaner data set• Data collection was relatively quick• Mobile network coverage allowed for daily synching in most cases• No hardware or charging issues• Worked to have a specific, visual Software User Manual to guide in data collection• Real-time monitoring
  14. 14. Lessons Learned• Budget enough time• Involve partners early• Necessity of resources and tools for planning process• Test extensively
  15. 15. Lessons Learned• Demand longitudinal support• Communicate regularly between program and ICT staff• Have a plan B• Monitor all data in process for completion, duplicates and glitches
  16. 16. • Question: Should I embrace mobile data collection for my organization/program?• Answer:
  17. 17. Thank You Thanks to Pei Ni Ong and Emily Bostick and other members of the CRS ICT4D team for the content in some of these slides Paul.perrin@crs.org More information:http://www.crsprogramquality.org /ict4d-2012/ http://humanitarian-nomad.org/

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