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Enyonam dzide mobile data collection needs
1. Enyonam Dzide
Software Product Design and Development
Adzo.dzide@gmail.com
Nii Okai Quaye
Independent Software Developer
(Free and Open Source Software)
naut23@gmail.com
2. Mobile Data Collection
Introduction
Data Collection
mHealth
ChildCount plus
Rural Medical Laboratory Services
Data collection needs
3. Introduction – Data collection
Data collection
Basic activity in programs and projects for purposes of
Planning
Decision making
Work
Monitoring and evaluation
Traditionally, manual and paper based.
Error prone
Costly and time consuming
Data is usually not captured in real-time.
Need to automate
Web and mobile based solutions.
4. Introduction - mHealth
It is the application of mobile technology and multimedia in the
delivery of public health services.
Relevant in both industrialized and developing countries.
How to acquire, transport, store, process, and secure the raw and
processed data to deliver meaningful results.
With the rise in the availability of handsets it offers health care
access to people in rural areas.
Especially by challenging the constraints of health professional
patient ratio
Education and awareness
By offering helplines
Remote monitoring and data collection
5. mHealth Applications
Native app
Application sits on phone and uses phones resources (Android, IOS)
CommCare (Java)
SMS based
ChildCount+
Most common denominator delivery medium
Allows for both low budget phones and sophisticated
Allows for some structured and formatted input
Web and mobile web
This relies on data or internet
Coupled with a server side component
6. mHealth Applications
Voice Apps
Mostly seen in the form of interactive voice apps
Where voice prompts are used as input medium
Good for highly illiterate areas
also for anonymous services for culturally and socially
sensitive setting
eg STD counseling
May also be one directional broadcasts where information of
various kinds are sent en mass to individuals at the same time
7. ChildCount +
Millennium Villages project
Maternal and child welfare
Field based community health workers
SMS based data collection
Based on RapidSMS
Registration of Children under five and pregnant women
Monitoring Malnutrition (MUAC)
RDT (malaria)
Analytics Community Health Worker CHW household visits
Currently deployed
Deployed in MVP Site at Bonsaaso
Second village in the SADA enclave
8. Medical Laboratory Service
Clinics established in remote areas serviced by one lab
Delayed results and diagnosis because of long
distances.
Use SMS to request results.
Desktop Clinic with lab modules
Childcount+ intermediary servers
OpenMRS medical records
9. Needs Analysis
Automated mobile based data collection
Transmission medium
Dynamic form creation
Xforms
SMS/Keyword based form
Data integrity and quality of data
Constraints
Skip logic
Cheaper and faster
Design with analysis and reports in mind
Web based administration and reporting