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mHealth Working Group October 19, 2011
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Principles of the Working Group Frame mHealth within global health strategies Apply public health standards and practices Promote appropriate, evidence-based, scalable and interoperable approaches in resource-poor settings Build internal capacity in mHealth
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Agenda: Innovative M & E of mHealth Background on mHealth M&E Mining the Data Exhaust: Extracting Behavior Change Evidence from Text Messages for Male Circumcision in Tanzania, by James BonTempo, Learning Technology Advisor, Jhpiego Embedding evaluation into mHealth activities: Challenges and Opportunities, by Dr. Kelly L'Engle, Scientist, Behavioral and Social Sciences, FHI 360 Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post- Earthquake Geospatial Study in Haiti, by Dr. Richard Garfield, Schools of Nursing and Public Health, Columbia University
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NIH workshop on mHealth Evidence “mHealth tools and interventions must be backed up by rigorous scientific development, evaluation, and evidence generation to enhance meaningful innovation and best practices, and to validate tools and methods for health professionals, consumers, payers, governments, and industry.” http://obssr.od.nih.gov/scientific_areas/methodology/mhealth/mhealth-workshop.aspx http://rwjfblogs.typepad.com/pioneer/2011/08/moving-mhealth-forward-through-evidence.html
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Innovative Data Collection/M & E Usage ▫Human dynamics revealed through Web analytics. (Goncalves, 2008) Content ("infodemiology") ▫Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. (Chew, 2010) Location ▫A hybrid mobile-based patient location tracking system for personal healthcare applications. (Chew, 2006)
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Privacy and Security Fair Information Practice Principles ▫Notice/Awareness ▫Choice/Consent ▫Access/Participation ▫Integrity/Security ▫Enforcement/Redress
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M & E Challenges for eHealth eHealth research and evaluation: challenges and opportunities. (Eng, 2002) Methodological considerations in evaluating eHealth interventions. (Nguyen, 2007) Why Do Evaluations of eHealth Programs Fail? An Alternative Set of Guiding Principles. (Greenhalgh, 2010)
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Presenters Mining the Data Exhaust: Extracting Behavior Change Evidence from Text Messages for Male Circumcision in Tanzania, by James BonTempo, Learning Technology Advisor, Jhpiego Embedding evaluation into mHealth activities: Challenges and Opportunities, by Dr. Kelly L'Engle, Scientist, Behavioral and Social Sciences, FHI 360 Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post- Earthquake Geospatial Study in Haiti, by Dr. Richard Garfield, Schools of Nursing and Public Health, Columbia University
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mHealth Working Group November Meeting to be held at Pan American Health Organization (PAHO)
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