Transcript Mobile Health Solutions with Case Studies

Comprehensive solutions for rural
healthcare –case maternal monitoring
Arnold Kemoli
Introduction
• Poimapper is a mobile and cloud based application which allows you to:
– Create questionnaires of different complexities for conducting surveys
– Collect and edit data on an intuitive mobile application
– Share collected data in real time with other stake holders
– View the exact location of where data is collected
– Conduct various analysis on collected data and generate reports
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Our partners
•
Tearfund has been using Poimapper for
monitoring of maternal care of clients with HIV.
•
Nimbus are the key partners in the monitoring of maternal care of
clients with HIV project with Tearfund
•
Plan Thailand, Plan Laos and Plan India have chosen to adopt Poimapper
for the monitoring and evaluation of their programs. A typical case example
is for mHealth programs, tracking the spread of tuberculosis in
communities.
•
Biocon Foundation together with Narayana Hrudalaya in Karnataka
State in India is using Poimapper to support the screening process of
oral cancer of primarily rural population.
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1
Collect & Update: Collect new and update
existing data. Download selectively existing
background data to the device
2
Store & Share: Securely store data in the
cloud or on a private database. Share
between field and office workers.
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3
4
Analyze & Decide: Visualize and analyze
collected data in real time. Make informed
plans and decisions.
Give Feedback: Update tasks and forms
and assign changes to field workers.
How does it work?
1. Create a questionnaire on a web based
application and assign questionnaire to
user groups who will collect the data
2. Mobile application users download the
created forms and proceed in collecting data.
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How does it work?
Download multiple
questionnaires onto
the mobile application
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Location data is
automatically collected
for GEO tagging
View collected
data on maps
How does it work?
3. Save the data via the internet
4. View and analyzing data
from the office by logging
on to the Poimapper
web application.
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How does it work?
• The collected data can be viewed on the Poimapper web application
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Generate reports
• Generate real time reports in tabular or graphical format
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System requirements
Server specs:
Operating system: Linux Ubuntu
Processor: Dual-Core AMD Opteron(tm) Processor 2218 HE
Frequency: 2.6 GHz
RAM: 8GB
Hard-disk space: 100 GB
Device specs:
Android (All versions)
Nokia Symbian s40 and s60
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Case study (Tearfund)
• Pregnant women with HIV have a high risk for transmitting the disease
the child. Mother Buddies visit the pregnant women (the clients)
according to a predefined schedule to monitor their health
and give advice.
• The pregnant women receive SMS reminders from the
Poimapper application notifying them of an upcoming visit.
• Mother buddies update information regarding the clients during the visits.
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Case study (Tearfund)
• Team leaders for the mother buddies, managers or
organizations employing the mother buddies, public
officials, the NGO running the operation (Tearfund)
at country and head office level follow the progress
made by the mother buddies.
• The solution was launched in Malawi in December
2012 and is being deployed Nigeria, Kenya and
DRC during 2013.
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Case study (Plan)
• Tuberculosis monitoring by Plan Thailand:
– Project started in 2011 and on-going in the Chiang Rai province.
– The objective is to strengthen migrants and ethnic
minorities to be NGO-organized Community-Based
Volunteers/Migrant Health Volunteers (MHV) to do
Directly Observed Treatment (DOT) provision and/or
treatment for TB care, including TB suspect referral.
– PoiMapper is used to collect information of TB patients
when they are visited by either CBV/MHV/ Plan’s Field staff.
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Case study (Plan) - Metrics
• 30% of project budgets was saved
– Less staff members used to collect the data and copy it hard copy to soft copy
– No purchasing of stationary, rims of paper and printing of questionnaires was
required
– No cost in distributing the questionnaires
• Over 30% of staff time was saved
– Data is sorted when collected so no need to aggregate collected data manually
– Validation and correction of data took far less time
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Outlook
• Challenges faced:
– Unexpected handset behavior: Depending on the android handset, sometimes
the application can crash unexpectedly (only on the low end handsets).
– Network coverage: In the rural, network coverage is really scarce in some
areas.
– Power unavailability: In some areas access to power supply is very limited.
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Outlook
• Poimapper is suitable for development programs focusing on topics
such as health, education and agriculture as well as for commercial use
such as installation and maintenance of telecommunications equipment
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Thank you!
Contact:
[email protected]