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AIDS 2012

AIDS 2012. Mobile tech in PMTCT programme evaluation. Purpose of presentation. Protocol recap Technology implementation Benefits: Data quality, availability & security Technology costs. Protocol recap. Baseline (6w) Facility based interview + DBS sample taken

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AIDS 2012

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  1. AIDS 2012 Mobile tech in PMTCT programme evaluation

  2. Purpose of presentation • Protocol recap • Technology implementation • Benefits: Data quality, availability & security • Technology costs

  3. Protocol recap • Baseline (6w)Facility based interview + DBS sample taken • EnrolmentHIV+ reported or tested enroled for follow-up • Follow upInterviews and tests at 10-14w, 6m, 9m, 12m, 15m & 18m

  4. Mobile interface Data collectors

  5. Eligibility & screening logic Basic logic determines whether a participant should be considered for the baseline and follow-up cohorts

  6. Data collection Interviews take place at 7 time points (in SAPMTCT 1,100 fields captured)

  7. Follow-up management Respondents appear on each follow-up list automatically

  8. Web interface Data managers, DC coordinators, principal investigators

  9. Design & deploy forms from the web Existing forms developed for SAPMTCT can be used as base and adapted for local application

  10. Published reports Easily configure reports for supervisors and coordinators

  11. Control data access and cleaning Detailed meta-data, granular permissions control and full audit history

  12. Monitor & communicate Integrated SMS, activity logs and location lookups

  13. Backend & reports Protocol support

  14. Backend • Longitudinal record-keepingRespondent record built up over multiple interviews • Automated merging of lab resultsLab results received from NHLS automatically matched & merged to update respondent records • Appointment remindersReminders sent ahead of each follow-up

  15. Automated reports • Progress reportsRolling 7-day report distributed via email • Operational reportsDaily export of key tracking data for active respondents • Analysis data setsMerged longitudinal export for analysis

  16. Support, logistics & capacity building • TrainingTraining provided to cover survey design, data collection & management • LogisticsAssistance with handset procurement, setup & airtime monitoring • Local capacity buildingHandover of core support activities to local resources

  17. Data quality How can data integrity be ensured and on-going participant engagement encouraged?

  18. Data quality benefits • Improved data integrityPrevent input errors with relevant skip logic and validation • Check digitsIssue and validate participant identifiers • Tried-and-tested instrumentsUtilise tested base of questionnaires and protocols • No separate data captureNo secondary data entry stage eliminates transcription errors

  19. Data quality benefits • Server-side heuristicsAlerts issued when sanity/integrity checks fail • Data auditingAutomatic auditing of data modifications by authorised personnel • Data authenticityVerify data authenticity through meta data & respondent mobile follow-up • Reduced attritionSupport for visit scheduling, automated SMS appointment reminders and respondent airtime incentives reduce attrition rates

  20. Data availability How easy will it be to access, analyse and use data?

  21. Data availability benefits • Cloud architectureNo server-side hardware required • Offline usageCaptured data cached on handset until network available • Real-timeReal-time access to review, export, chart and map responses

  22. Data availability benefits • Data controlComplete control and ownership of data collected • Automated progress reportsProgress reports generated and distributed automatically on daily basis to team leaders and coordinators • ExtensibleGeneric and open API allows data to be integrated into any other system

  23. Data security How can respondent confidentiality be ensured?

  24. Data security benefits • Confidentiality"Store-and-forward" and encrypted transmission • Controlled sharingAbility to define dynamic data sets and provide access to limited user group • Field visibility controlHide specific fields from selected users (e.g. mobile number)

  25. Cost Is it affordable and financially sustainable?

  26. Cost • Remove paper process costsNo printing, data entry, document transportation and storage • Reduce errors and associated costsDetect and correct errors in the field • Low cost handsetsChoose from over 500 handset options, including entry-level feature phones (around $50 each) • ScalableSelect appropriate scale – a phased approach is possible

  27. Cost • Technology • Assuming large-scale sample (e.g. SA = 12k baseline, 3k follow-up, 1,100 fields) • Hardware, software, hosting, training & consulting • Budget $90k initially • Budget $45k per annum for annual evaluation • Capacity building of local resources included

  28. Concluding Remarks • Using mobiles, data flow can be simplified and improved significantly • Mobile technology provides a real alternative to paper • Migration from evaluation to surveillance

  29. Thank you Questions • Direct email: andi@mobenzi.com • Support: support@mobenzi.com • Twitter: andi_friedman / mobenzi_r

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