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Neal Lesh
Computer science
applications to
improve health
delivery in
low-income
countries.
My Story
Mid-thirties computer researcher seeks
more fulfilling career. Goes back to
school then off to Africa. Discovers
things are more simple and more complex
than he originally imagined. Can't
imagine doing anything else...
Outline
• Background
The simplicity and complexity of global inequity
• Two examples
Patient record systems for AIDS treatment
Medical algorithms on handhelds
• Conclusion
Risk Factor
for surviving the Titanic.
0
10
20
30
40
50
60
70
1st 2nd 3rd
class of service
%survived
Poverty as a
Global Health
Simple Story
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$
Infant
mortality: 5 per 1,000 births
Maternal
mortality: 8 per 100K births
Life expectancy: 78 years
Infant
mortality: 95 per 1,000 births
Maternal
mortality: 500-1000 per 100K
Life expectancy: 45 years
300-540
57
69
Simple Story
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$
Simple Story
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$$$$
$$$$$$$$$$$$$
$$$$ Infant
mortality: 95 per 1,000 births
Maternal
mortality: 500-1000 per 100,000
Life expectancy: 45 years
Simple Story
“We are the first generation
that can end poverty.”
-Eveline Herfkens, UN Millennium Campaign
Complexity
• Corruption, careerism, tax write-offs
• 5-star poverty alleviation meetings
• Unintended consequences, e.g., paying
volunteers
• Imperialism & foreign experts
“If you want to build a ship, don't drum up people to
collect wood and don't assign them tasks and work, but
rather teach them to long for the endless immensity of
the sea.”
– Antoine de Saint-Exupery
Information as Care
• Study: rigorous application of standard
treatment protocols reduced in-hospital
mortality in children’s malaria cases by 50%
• Clinician’s complaint: where are my lab
results?!
• Patient Knowledge Example: five danger signs
for seeking care during and after labor.
Outline
• Background
The simplicity and complexity of global inequity
• Two examples
Patient record systems for AIDS treatment
Medical algorithms on handhelds
• Conclusion
One year later
AIDS Treatment in Rural Rwanda
One year later
Improving Health Systems
One year later
Connecting to the Internet
Electronic Medical Record (EMR)
Patient Monitoring
Reports
Clinicians & Patients
Managers
EMR Staff
Paper forms
Program
Monitoring
Reports
Funder &
government
reports
$
Re-allocate
resources
Patient Monitoring
Missed-Visit List
ICT task: satisfy reporting requests
OpenMRS
• Open source framework for
medical record systems
• www.openmrs.org
Data Quality
• Mistyped IDs
• Missing &
conflicting data
• Backlog
Potential solution: point-of-care systems
Challenges & Opportunities
• Keep up with demand
• Increased impact on decision making
– Inform to Improve (I2I) teams
• Integration of lab and pharmacy components
• Detecting important trends in data
Outline
• Background
The simplicity and complexity of global inequity
• Two examples
Patient record systems for AIDS treatment
Medical algorithms on handhelds
• Conclusion
Rural Dispensary in Tanzania
Standardized Care (IMCI)
Standardized Care (IMCI)
Standardized Care (IMCI)
10
15
20
25
30
35
1999-00 2001-02
Annualmortalityrate
Morogoro (IMCI) Rufiji (IMCI)
Ulanga Kilombero
Tanzania: underfive mortality was 13% lower
in the two IMCI districts
Source: Schellenberg J et al
Full
IMCI
in HF
End of
study
13% difference
95% CI: -7%, 30%
Significant
impact on
stunting
Deploying IMCI
• IMCI
– Shown to reduce mortality and morbidity
– Adopted by ~100 countries
• But uptake not as good as hoped
– Training expensive
– Correct use tapers off over time
– Supervision challenging
Why Automate IMCI?
Why Automate IMCI?
• Improve adherence
• Improve
supervision
• Easier to update
• More sophisticated
protocols
• Reduced training
Field Work
Results to be published in CHI’08
How Automate IMCI?
Exploratory Study
• Pretesting & rapid iteration
• Structured interviews
• Observed trials w/
additional clinician to:
– Ensure safety
– Record adherence to IMCI
– Record time
Viral Training
Key Findings
• Must be
– Fast
– Flexible
– Improve adherence to IMCI
• Must address intentional deviation from IMCI
– Temperature, respiratory rate
– Advice
Adherence Results
Investigation
Current practice
adherence
e-IMCI
adherence
p-value
Vomiting 66.7% (n=24) 85.7% (n=28) -
Chest indrawing 75% (n=20) 94.4% (n=18) -
Blood in stool 71.4% (n=7) 100% (n=3) -
Measles in the last
3 months
55.6% (n=9) 95.2% (n=21) < 0.05
Tender ear 0% (n=1) 100% (n=5) -
All 61% (n=299) 84.7% (n=359) < 0.01
Triaging patients on
treatment for AIDS
(Study ongoing in
South Africa)
Counselors ask a series of questions leading to
a patient assessment.
e-CTC for HIV screening
CommCare
Start House Hold Visit
Plan Day
Explore Data
Exit
House Hold Visit (Task Queue)
000:04:56
Register Birth
Investigate Diarrhea of Sick Child
Review malaria bed nets
Topic of month: nutrition during
pregnancy
END VISIT
Day Planning
MKWERA : TB Referral (2 wks)
MKEA: Severe diarrhea (3 days)
CHUMA: late HH visit (3 months)
KAIGILE: routine HH visit
MGANDA: routine HH visit
EXIT
Outline
• Background
The simplicity and complexity of global inequity
• Two examples
Patient record systems for AIDS treatment
Medical algorithms on handhelds
• Conclusion
Conclusion
• Key points
– Must understand context
– Much potential, many challenges
– Keep it simple
• Challenges
– Evaluation, local ownership, I2I, duplication of
effort, …
Thank you!
neal@equalarea.com
Inshuti Mu Buzima
Partners In Health
PO Box 3432, Kigali, Rwanda

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Neal lesh-1202742298252135-3 (5)

Editor's Notes

  1. I’m going to start with what somehow seems like a fun example, which is that if you bought a more expensive ticket on the titanic, not only do you get nicer food, but you’ve got a higher chance of surviving the trip, as shown in this graph. these numbers are real, though it would be a little more fair to show men, women, and children separately ... since this is one of the few cases of where being a woman or child is protective. but moving onto some statistics which I think is the most disturbing of the talk...
  2. Okay, so on to the world. And one thing about this talk and public health in general, in that it’s pretty focused on people and their basic needs. not so much the animals. not even so much the environment, though that’s certainly important for our health. but we can start with how many of us there are. and there’s about 6.1 billion people, and counting... and population growth is certainly a factor for public health
  3. Okay, so on to the world. And one thing about this talk and public health in general, in that it’s pretty focused on people and their basic needs. not so much the animals. not even so much the environment, though that’s certainly important for our health. but we can start with how many of us there are. and there’s about 6.1 billion people, and counting... and population growth is certainly a factor for public health
  4. Okay, so on to the world. And one thing about this talk and public health in general, in that it’s pretty focused on people and their basic needs. not so much the animals. not even so much the environment, though that’s certainly important for our health. but we can start with how many of us there are. and there’s about 6.1 billion people, and counting... and population growth is certainly a factor for public health
  5. Okay, so on to the world. And one thing about this talk and public health in general, in that it’s pretty focused on people and their basic needs. not so much the animals. not even so much the environment, though that’s certainly important for our health. but we can start with how many of us there are. and there’s about 6.1 billion people, and counting... and population growth is certainly a factor for public health
  6. Okay, so on to the world. And one thing about this talk and public health in general, in that it’s pretty focused on people and their basic needs. not so much the animals. not even so much the environment, though that’s certainly important for our health. but we can start with how many of us there are. and there’s about 6.1 billion people, and counting... and population growth is certainly a factor for public health
  7. Paying volunteers, discussing work-for-food programs over fancy dinner during famine,
  8. In Tanzania: under-5 mortality was 13% lower in the two IMCI districts compared to non-IMCI districts and there was a significant impact on stunting