Stronger health systems. Greater health impact.mHealthCCIH Conference June 2012          Kyle Duarte | Director, Systems A...
Overview • What is mHealth and why is it so important? • Use of mobile technologies within MSH’s projects • Field examples...
Technology in health systems                                   ICT                                 eHealth                ...
mHealth potentialSource: "mHealth for Development: the Opportunity of Mobile    African Cell Phone Owners Growth- ITUTechn...
Mobile Phone Technologies as..  Data Delivery SMS txt message-direct to           Supply Chain Management end users Two wa...
Overview • What is mHealth and why is it so important? • Use of mobile technologies within MSH’s projects • Field examples...
Main Uses in MSH’s ProjectsData Delivery    • Mobile phone as modems in NamibiaData Collection and Aggregation    • Malari...
Overview • What is mHealth and why is it so important? • Use of mobile technologies within MSH’s projects • Field examples...
Background mEDT SPS Namibia  • Incomplete, missing data on ARV dispensing    from outreach sites  • Poor inventory managem...
Solution: Adapting to Mobile Technology • mEDT: Adapt existing EDT (dispensing tool) to   mobile phone + hand held scanner...
Results • 14% (12,320)* of all patients on ART are serviced at   outreach sites through the EDT-mobile • Increased speed a...
Conclusions • The mEDT + mobile scanner is a fast, cost   effective and efficient way to manage ART   records in remote se...
Overview • What is mHealth and why is it so important? • Use of mobile technologies within MSH’s projects • Field examples...
Background • NMCP conducts supervision visits to assess        • Availability of Malaria commodities        • Assess how f...
Objectives • Assess how well EpiSurveyor alleviates the   burden of data collection, data entry, and data   analysis • Use...
Methodology • Modified and customized the Monitoring Tool to   incorporate multiple program commodities and   indicator re...
Phones in ActionManagement Sciences for Health   17
Instant analysis following data entryManagement Sciences for Health         18
Data visualization using GIS MappingManagement Sciences for Health     19
Conclusions • EpiSurveyor Mobile was successful in data   collection and analysis • The solutions can applied and adapted ...
Overview • What is mHealth and why is it so important? • Use of mobile technologies within MSH’s projects • Field examples...
Best practices in design             1                          2                    3                   4      Tried and ...
Best practices in implementation                                       Goals and Objectives             1                 ...
Key Take Aways • Do not duplicate – adapt existing tools or   innovate within solutions • Ensure user driven design – solu...
Useful resources USAID-mHealth Alliance: http://www.mhealthworkinggroup.org/ Mendeley groups white papers: http://www.mend...
Implementers/Stakeholders         Technology providers Management Sciences for Health                          26
QUESTIONS ?                                      Stronger health systems. Greater health impact.     Saving lives and impr...
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CCIH 2012 Conference, Breakout 4, Kyle Duarte, Technological Innovations in International Health: mHealth

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Kyle Duarte of Management Systems for Health explains the use of mobile technology in delivering health services to hard-to-reach populations and how mHealth has improved health outcomes.

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CCIH 2012 Conference, Breakout 4, Kyle Duarte, Technological Innovations in International Health: mHealth

  1. 1. Stronger health systems. Greater health impact.mHealthCCIH Conference June 2012 Kyle Duarte | Director, Systems Analysis & Software Products | CPM | MSHManagement Sciences for Health 1
  2. 2. Overview • What is mHealth and why is it so important? • Use of mobile technologies within MSH’s projects • Field examples: o Use of mobile phone based dispensing solutions in Namibia (SPS Namibia) o Data collection using mobile phones (SPS EUV Malawi) • Best practices in design and implementation • QuestionsManagement Sciences for Health 2
  3. 3. Technology in health systems ICT eHealth mHealthManagement Sciences for Health 3
  4. 4. mHealth potentialSource: "mHealth for Development: the Opportunity of Mobile African Cell Phone Owners Growth- ITUTechnology for Healthcare in the Developing World", 2009 Adoption - http://www.mit.edu/~tavneet/M-PESA.pdf Management Sciences for Health 4
  5. 5. Mobile Phone Technologies as.. Data Delivery SMS txt message-direct to Supply Chain Management end users Two way data delivery Diagnostics + Data Collection Health Education Remote data collection Data validation = Mobile Payments Geo tagging Patient Adherence/tracking + Data Integration Advocacy/health promotion Layering data on dashboards, maps Specialized solution and many, many moreManagement Sciences for Health 5
  6. 6. Overview • What is mHealth and why is it so important? • Use of mobile technologies within MSH’s projects • Field examples: o Use of mobile phone based dispensing solutions in Namibia (SPS Namibia) o Data collection using mobile phones (SPS EUV Malawi) • Best practices in design and implementation • QuestionsManagement Sciences for Health 6
  7. 7. Main Uses in MSH’s ProjectsData Delivery • Mobile phone as modems in NamibiaData Collection and Aggregation • Malaria indicators (SPS Project, Malawi) • Inspecting and monitoring medicines using PDAs (SEAM Project, Tanzania) • Post market surveillance and GIS mapping (ADDOs & SDSI Project, Liberia, Tanzania and Uganda)Data Integration • A ‘lite’ version of EDT Namibia (SPS Project) • HACTS System in Ethiopia using Mobile Data Force (SCMS Project)Management Sciences for Health 7
  8. 8. Overview • What is mHealth and why is it so important? • Use of mobile technologies within MSH’s projects • Field examples: o Use of mobile phone based dispensing solutions in Namibia (SPS Namibia) o Data collection using mobile phones (SPS EUV Malawi) • Best practices in design and implementation • QuestionsManagement Sciences for Health 8
  9. 9. Background mEDT SPS Namibia • Incomplete, missing data on ARV dispensing from outreach sites • Poor inventory management; bad data for quantification • Unable to schedule patient appointments • Ineffective adherence monitoringManagement Sciences for Health 9
  10. 10. Solution: Adapting to Mobile Technology • mEDT: Adapt existing EDT (dispensing tool) to mobile phone + hand held scanner • Core functions: Stock management, dispensing, patient scheduling and adherence monitoring • Scanner is used to scan bar codes on medicines when dispensed to patients • Data is synchronized when docked to the desktopManagement Sciences for Health 10
  11. 11. Results • 14% (12,320)* of all patients on ART are serviced at outreach sites through the EDT-mobile • Increased speed and accuracy of dispensing at outreach sites as both dispensing and label printing is automated • Elimination of the need for double recording thus freeing staff to perform other critical tasks • Improved stock control at outreach sites due to accurate data on quantities of each ARV dispensed at the outreach site * Data as of 2009Management Sciences for Health 11
  12. 12. Conclusions • The mEDT + mobile scanner is a fast, cost effective and efficient way to manage ART records in remote settings • Effective solution for situations where desktop computers are not feasibleManagement Sciences for Health 12
  13. 13. Overview • What is mHealth and why is it so important? • Use of mobile technologies within MSH’s projects • Field examples: o Use of mobile phone based dispensing solutions in Namibia (SPS Namibia) o Data collection using mobile phones (SPS EUV Malawi) • Best practices in design and implementation • QuestionsManagement Sciences for Health 13
  14. 14. Background • NMCP conducts supervision visits to assess • Availability of Malaria commodities • Assess how facilities are diagnosing and treating malaria • SPS Program and NMCP piloted DataDyne’s EpiSurveyor to collect and analyze data on malaria commodity availability and case management indicatorsManagement Sciences for Health 14
  15. 15. Objectives • Assess how well EpiSurveyor alleviates the burden of data collection, data entry, and data analysis • Use the GPS feature in EpiSurveyor to map out health facilities • Evaluate performance of the solution with limited support from DataDyneManagement Sciences for Health 15
  16. 16. Methodology • Modified and customized the Monitoring Tool to incorporate multiple program commodities and indicator requirements • Trained assessment teams on the proper use of the tool and cell phone for data entry (1 day) • Pre-tested the tool at five sites • Finalized the assessment tool for data collection • 56 facilities visited (3 teams, Nokia E71 phone)Management Sciences for Health 16
  17. 17. Phones in ActionManagement Sciences for Health 17
  18. 18. Instant analysis following data entryManagement Sciences for Health 18
  19. 19. Data visualization using GIS MappingManagement Sciences for Health 19
  20. 20. Conclusions • EpiSurveyor Mobile was successful in data collection and analysis • The solutions can applied and adapted in functionally similar settings • This can now be carried out by NMCP without external technical assistanceManagement Sciences for Health 20
  21. 21. Overview • What is mHealth and why is it so important? • Use of mobile technologies within MSH’s projects • Field examples: o Use of mobile phone based dispensing solutions in Namibia (SPS Namibia) o Data collection using mobile phones (SPS EUV Malawi) • Best practices in design and implementation • QuestionsManagement Sciences for Health 21
  22. 22. Best practices in design 1 2 3 4 Tried and Locally Relevant Sustainable Tested Owned …based on …Tried and tested …designed to … in partnership leveraging concepts that address the most with local international/regi work, so that the urgent, basic or stakeholders to onal experiences client makes fundamental ensure knowledge and progress with program’s transfer and methodologies pace and certainty information ownership with local of outcome challenges stakeholders Goals and ObjectivesManagement Sciences for Health 22
  23. 23. Best practices in implementation Goals and Objectives 1 2 3 4 Capacity Process Data Technology Training needs Best practices Data elements Phone OS and support incorporated in Form design Open source strategy. SOP Analysis solution User driven development Non proprietary design databases Scalable platforms Measureable impact that is sustainableManagement Sciences for Health 23
  24. 24. Key Take Aways • Do not duplicate – adapt existing tools or innovate within solutions • Ensure user driven design – solutions that work well in the “lab” may not work well in the field • Build in interoperability between databases – HL7 standards for data exchangeManagement Sciences for Health 24
  25. 25. Useful resources USAID-mHealth Alliance: http://www.mhealthworkinggroup.org/ Mendeley groups white papers: http://www.mendeley.com/groups/1446673/final-instedd-mhealth- literature-collection/papers/ K4health toolkit:http://www.k4health.org/toolkits/mhealth- toolkit PSM tool kit: http://www.psmtoolbox.org/en/tool- details%7CCapacity-building%7CIndoor-Residual-Spraying-IRS- Toolkit%7C237Management Sciences for Health 25
  26. 26. Implementers/Stakeholders Technology providers Management Sciences for Health 26
  27. 27. QUESTIONS ? Stronger health systems. Greater health impact. Saving lives and improving the health of the world’s poorest and most vulnerable people by closing the gap between knowledge and action in public health.Management Sciences for Health 27

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