Text to Change Text to Change October, 28 th   2009 World Bank Day  mHealth Washington, DC
mHealth in developing countries: Text to Change: 5% software, 95% programs - Impact -Challenges -Scalability  -End user
<ul><li>Tools: </li></ul><ul><li>Text message quizzes </li></ul><ul><li>Keywords </li></ul><ul><li>Interactive voice respo...
 
Past Programs: -2008:  Local partner: Aids Information Center, Uganda Support partners: Zain (Celtel), Merck&Co Program: H...
Lessons learnt:  *Sms services in local languages; *Improve text message software; *Zero rating the service; *Service over...
HIPS program Uganda September 2009 Three factories, 5,000 people  -Kakira Sugar -Kinyara Sugar -Kasese Cobolt 25 questions...
Percentage Correct by Factory Joint work with C. Danis, J. Ellis, IBM Research
Percentage Correct by Question Content Joint work with C. Danis, J. Ellis, IBM Research
Future? #Governmental Programs; #Mobile Provider programs; #Company workplace Programs. • Workplace programs aimed at info...
Hajo van Beijma http://www.texttochange.com  [email_address] +31628265485 twitter.com/hajovanbeijma linkedin.com/in/hajova...
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mHealth @ Worldbank. Washington DC, October 28th 2009

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Jointly sponsored by World Bank Group, UN Foundation/mHealth Alliance and FNIH, in collaboration with NIH and many others, the World Bank Day @ mHealth Summit will raise awareness of the possibilities for mobile-enabled innovations for improving health care and health care outcomes in developing countries and seeks to:

Contribute to putting m-health on the map of the mainstream public health agenda in developing countries.
Explore options as to how to translate mHealth applications into measurable health outcomes.
Provide concrete examples of experience at the country level – what questions to ask, what to look for, what tools are available, and what are the policy implications for implementation.
Establish a basis for future collaboration and continued dialogue on mHealth.

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  • 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&apos;S MAPPING) IS PARTICULARLY DIFFICULT FOR PEOPLE, ESPECIALLY FOR KASESE
  • mHealth @ Worldbank. Washington DC, October 28th 2009

    1. 1. Text to Change Text to Change October, 28 th 2009 World Bank Day mHealth Washington, DC
    2. 2. mHealth in developing countries: Text to Change: 5% software, 95% programs - Impact -Challenges -Scalability -End user
    3. 3. <ul><li>Tools: </li></ul><ul><li>Text message quizzes </li></ul><ul><li>Keywords </li></ul><ul><li>Interactive voice response </li></ul><ul><li>Data gathering </li></ul><ul><li>Where: </li></ul><ul><li>Uganda </li></ul><ul><li>Kenya </li></ul><ul><li>Tanzania (November ‘09) </li></ul><ul><li>Namibia </li></ul><ul><li>How: </li></ul><ul><li>Sms </li></ul><ul><li>Voice </li></ul><ul><li>Text to Change: How does it work? </li></ul><ul><li>Partnerships with mobile operators, companies, NGO's and governments; </li></ul><ul><li>African software; </li></ul><ul><li>Demand driven programs; </li></ul><ul><li>Local content; </li></ul><ul><li>Interactive education. </li></ul><ul><li>Goals: </li></ul><ul><li>Create more awareness </li></ul><ul><li>Gather data on knowledge </li></ul><ul><li>Increase testing via sms referral </li></ul>
    4. 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 -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 -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 -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
    5. 6. Lessons learnt: *Sms services in local languages; *Improve text message software; *Zero rating the service; *Service over all mobile networks; *Better data analysis; *More partners; *Local content; *Create sustainable programs; *Better training of peer educators on text messages; *Open Source system to establish interoperability between mobile for development systems.
    6. 7. HIPS program Uganda September 2009 Three factories, 5,000 people -Kakira Sugar -Kinyara Sugar -Kasese Cobolt 25 questions via sms 43,000 text messages received 34% participation level >Numbers via peer educators >Incentives via social competition and airtime >8 week program
    7. 8. Percentage Correct by Factory Joint work with C. Danis, J. Ellis, IBM Research
    8. 9. Percentage Correct by Question Content Joint work with C. Danis, J. Ellis, IBM Research
    9. 10. Future? #Governmental Programs; #Mobile Provider programs; #Company workplace Programs. • Workplace programs aimed at informing employees about a healthy lifestyle; • Baseline survey followed up by mobile survey for high frequency monitoring (in conflict areas and elsewhere); • Mobile survey aimed at enhancing transparency and creating public debate; • Education tracking to improve teacher motivation and reduce absenteeism • Citizen reporting on drug stock outs and absenteeism of health staff *Demand driven programs >open-data, collaboration, open-source
    10. 11. Hajo van Beijma http://www.texttochange.com [email_address] +31628265485 twitter.com/hajovanbeijma linkedin.com/in/hajovanbeijma
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