MobileActive08 presentation: Metrics and Evaluation - Presentation Transcript
MobileActive 08: Mobile metrics and Evaluation Patty Mechael Peter Benjamin
OUTLINE OF THE SESSION
Introductions of all
Metrics & evaluation framework
Case study: “Mobile 4 HIV” @ SA
Group work
Report back
Next steps Mobile Metrics Work Group?
Introductions
Name
Organisation
Interest in mobile metrics? (Research question, techniques, sector)
Counting SMS is not evaluation!
Input - Budget, tech, people …
Output - Usage, User info, TGI, SMS …
Outcomes - Action from info
Impacts - Wider social change
Case study: “Mobile 4 HIV”
Project in SA to use mobile for range of services for HIV sector
Working with HIV-related organisations: Treatment Action Campaign, Soul City, DTHF, HIVAN, SANAC
Low costs, language, low-tech, local
Pilots, content, develop tech, research
Start with stated aim of the project – don’t be blinded by the tech. Adherence indictor, Clinic stats, patient QoC Adherence Loss to follow-up Patient – clinic link Adherence indicator, focus group. Uptake of services Improved positive living, adherence Messaging: Treatment Behaviour change indic. Self-report. Uptake of services Ideally – reduced incidence. Behaviour change Messaging: Prevention Eval Tools (e.g.) Goal Area
Eval Tools (e.g.) Goal Area Self-perception of reduced isolation, Improved question response Reduced isolation, self-help, respond to need Peer-peer, councelling Chosen indicators (eg branch reports) Feeling of inclusion and organisational capacity Improved info flow inside an organisation Org capacity Length of time to complete, data validation techniques Improved data collection (data quality, faster) M&E
Cellphone as evaluation tool
Also, cellphones can be used as a tool for evaluation (data collection)
Can random sample users and call / SMS back (ethics, opt-in and prior approval)
Fairly easy to do longitudinal and follow-up studies
Quiz on cellphones (esp SMS or USSD) for pre- and post-questions
Other questions
Social meaning of messages (not neutral, language, literacy). Ethnography & sociology issues
Pulling out contribution of mobile to intervention (confounding variables)
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