mHealth Summit. Washington DC, 29-20 October 2009

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    Notes on slide 1

    PERCENT OF RESPONDENTS WHO MADE A CORRECT RESPONSE TO THE 18 SEQUENTIALLY PRESENTED PROBES THE NUMBER OF RESPONDENTS CORRECT DIVIDED BY THE NUMBER OF RESPONDENTS RESPONDENTS WHO ARE CORRECT INCREASE AS THEY GET FURTHER INTO THE QUIZ WITH SOME NOTABLE EXCEPTIONS - NEED TO GO TO THE CONTENT OF THE QUESTION TO DIAGNOSE NOTE THAT: THE THREE GROUPS OF RESPONDENTS GOT DIFFERENT QUESTION CONTENT AT EACH OF THE PROBE TIMES

    LOOKING AT THE QUESTION CONTENT: THE X AXIS IS THE QUESTION # - ALLOWS COMPARISON ACROSS THE THREE FACTORIES ON CONTENT THERE ARE 19 QUESTIONS BECAUSE ONLY 17 QUESTIONS OVERLAPPED ACROSS ALL THREE FACTORIES NOTE THAT THIS IS NOT FIGURE DOES NOT SHOW SEQUENTIAL TIME - THAT IS Q1 CAN NOT BE ASSUMED TO HAVE OCCURRED AT TIME 1, Q2 CAN NOT BE ASSUMED TO HAVE OCCURRED AT TIME2, ETC. THE BREAKS IN THE LINES ARE WHERE A PARTICULAR QUESTION WAS NOT ASKED O A FACTORY GROUP LOOKS LIKE QUESTION 17 (JASON'S MAPPING) IS PARTICULARLY DIFFICULT FOR PEOPLE, ESPECIALLY FOR KASESE

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    mHealth Summit. Washington DC, 29-20 October 2009 - Presentation Transcript

    1. Text to Change Text to Change October, 30 th 2009 mHealth Summit Washington, DC
      • mHealth in developing countries:
      • Software based approach. -Program based approach.
      • Impact, scale and end user.
    2. 1 Million Mobile Phones are being added every week in Africa  Is this just an image of the Sahara?
    3. Or is this the place for innovation, mobile empowerment, partnerships and active participation?
    4.  
      • Tools:
      • Text message quizzes
      • Keywords
      • Interactive voice response
      • Data gathering
      • Medicine Adherence
      • Daily Updates
      • Where:
      • Uganda
      • Kenya
      • Tanzania (November ‘09)
      • Namibia
      • How:
      • Sms
      • Voice
      • Text to Change: How does it work?
      • Partnerships with mobile operators, companies, NGO's and governments;
      • African software;
      • Demand driven programs;
      • Local content;
      • Interactive education.
      • Goals:
      • Create more awareness
      • Gather data on knowledge
      • Increase testing via sms referral
    5. Past Programs: -2008: Local partner: Aids Information Center, Uganda Support partners: Zain (Celtel), Merck&Co Program: HIV/AIDS awareness via sms Where: Mbarara, Uganda Participants: 15,000 Results: 35% uptake in HIV testing Lessons learnt: Local languages, improve text message software, zero rating the service. -Q1 2009: Local partner: Aids Information Center, Uganda Support partners: MTN, Merck&Co, Dutch Ministry of Foreign Affairs Program: HIV/AIDS awareness via sms Where: Arua, Uganda Participants: 10,000 Results: 40% uptake in HIV testing Lessons learnt: Service over all mobile networks, better data analysis, more partners.
    6. Past Programs: -Q2 2009: Local partner: UN (Texting for Health) Support partners: UN-ECOSOC, WHO Program: Global public health quiz Where: Jinja, Uganda Participants: 10,000 Results: proof of collecting real time information through m-polling Lessons learnt: Local content, create sustainable programs. -Q3 2009: Local partner: HIPS Support partners: USAID, IBM, Soccerclub Barcelona. Program: Public health education for twho sugar factories and one cobolt factory, Uganda. Where: Kinyara, Kasese and Kakira Uganda Participants: 14,000 Results: Uptake in community visits to clinics Lessons learnt: Better training of peer educators on text messages
    7. Data analysis from IBM Research, Social Computing Group, on workplace program for three factories in Uganda. -Kakira -Kinyara -Kasese Slide1: PERCENT OF RESPONDENTS WHO MADE A CORRECT RESPONSE TO THE 18 SEQUENTIALLY PRESENTED PROBES THE NUMBER OF RESPONDENTS CORRECT DIVIDED BY THE NUMBER OF RESPONDENTS Slide2: LOOKING AT THE QUESTION CONTENT: THE X AXIS IS THE QUESTION # - ALLOWS COMPARISON ACROSS THE THREE FACTORIES ON CONTENT THERE ARE 19 QUESTIONS BECAUSE ONLY 17 QUESTIONS OVERLAPPED ACROSS ALL THREE FACTORIES
    8. Percentage Correct by Factory Joint work with C. Danis, J. Ellis, IBM Research
    9. Percentage Correct by Question Content Joint work with C. Danis, J. Ellis, IBM Research
    10. Future Programs: -Q4 2009: Kenya and Tanzania: Family Health International. The program will be looking at the potential of mobile phone based solutions for reproductive health awareness with Family planning as one of the key themes.
    11. Future Programs: -Q4 2009: Namibia: Unicef. Text to Change is setting up an Interactive Voice Response system for Unicef Namibia. Unicef needs to set-up an IVR system to make opinion-polls about the Millennium Development Goals, to gather ideas and opinions to submit to the Parliament of Namibia. Namibians call for free a Virtual Contact Center that will ask several questions about the MDG and that automatically will analyze the preference of the callers.
    12. Future Programs: -Q4 2009: Kenya: Zain workplace program on HIV/AIDS via text messages.
    13. Future Programs: -Q4 2009: Global: mHealth repository with Royal Tropical Institute the Netherlands. www.kit.nl/mhealth
    14. Future? -Mobile Internet -MMS -USSD -Text Messages #Governmental Programs #Mobile Providers #Company Workplace Programs *Demand driven programs *Look at problem then Solution *Collaboration between mHealth orgs. >No more duplicate efforts: open-data, collaboration, open-source
    15. Hajo van Beijma http://www.texttochange.com [email_address] +31628265485 twitter.com/hajovanbeijma linkedin.com/in/hajovanbeijma
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