Transcript Louis Munyakazi - Managing for Development Results

Managing for Results:
Rwanda
Louis Munyakazi
General Director
National Institute of Statistics
Pamela Johnson
EVP
Voxiva
Outline
Rwanda

Commitment to Results
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Monitoring Results
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Statistics
Investing in ICT
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Rwanda 2020
EDPRS
Performance Contracts
NICI Plan
Mobile Coverage
Innovation in IT: TRACnet
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Collecting Data from Health Facilities
Data for Decision-makers
I. Commitment to Results
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Rwanda 2020: Strategic Framework for Results
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EDPRS
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Performance Contracts

Citizen Report Cards
In our case, in Rwanda . . .
“, we are determined to engender a statistics
culture that must place us on an effective path
of evidence-based policy making.”
H.E. Paul KAGAME
President of the Republic of Rwanda
II. The Importance of Data
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Data needed for decisions
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Data for accountability
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Data for management
More timely - - not just after the fact
If you don’t count, you don’t count
NATIONAL STATISTICAL SYSTEM
Agriculture
NSDS guidelines
Santé
(TRACnet
& HMIS)
Education
INSR
NSDS guidelines
Système
Administratif
Commerce /
Industrie
Information Flow
Regional Level
Flow of Reliable Data
District Level
30 districts
Sector Level
416 sectors
Cell Level Source of Basic Stats
Basic unit = 10 or more houses
Flow of decision
5 regions
III. Investing in ICT
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2nd National Information & Communications
Infrastructure Plan (2006 to 2010)
Investment - - 2.5% GDP per annum
Private Sector, e.g.
Mobile phone network
 Technology
 ICT Park
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IV. IT for Results
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TRAC: Oversees national HIV/AIDS, malaria and TB
programs
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TRACnet:
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An innovative data collection and communication tool
Collects program indicators and other data from health
facilities
Sends feedback from authorities and specialists.
Developed by Voxiva - - with support from the US Centers
for Disease Control
Data collection
TelePhone
Pay
Phone
Web View of
Application
Cell
Phone
Hosted
Software
And Telecom
Infrastructure
PDA
The
Internet
Field communication and data
retrieval
TelePhone
Pay
Phone
Web View of
Application
Cell
Phone
J2ME
The
Internet
TECHNOLOGY
Hosted
Software
And Telecom
Infrastructure
DATA BASE
DATA,
DASHBOARDS
Field communication and data
retrieval
TelePhone
Pay
Phone
Web View of
Application
Cell
Phone
J2ME
The
Internet
TECHNOLOGY
Hosted
Software
And Telecom
Infrastructure
DATA,
DATA BASE
DASHBOARDS
Days, Weeks, Months
How TRACnet Works
Before
Submit Data
Level 2
Consolidation
Level 3
Consolidation
Aggregate and Verify
Store and Interpret
Central Level
Analyze and Make Decisions
After
Capture and Analyze
Seconds
MOH, TRAC, CAMERWA,
NATIONAL LABORATORY
Analyze and Make Decisions
Share Data and
Receive Feedback
Communicate and Disseminate
Results
Coverage
Deployed in all 133 health facilities offering ART in Rwanda,
accounting for 100% of all ART patients in Rwanda (30,000+).
Currently, the system has baseline patient data on 9000 +
individuals. Seven health facilities are using the system to
retrieve lab results (CD4 Count).
Trained
Personnel
More than 500 site level users have been trained and are using
the system to submit monthly program indicator reports and
weekly consumables (drug) reports.
Access
Most users (90%) access the system via the toll-free telephone
interface, thereby minimizing infrastructure-linked constraints
(unreliable power supply, poor or non-existent internet
connection), as well the cost of accessing the internet.
User
Adoption
Anecdotal evidence has shown that most health facility
personnel own mobile phones, and that those who have a
phone, and are accustomed to using text messaging features,
demonstrate an ease of use after 15-30 minutes of training.
TRACNet was implemented by the Ministry of Health
of Rwanda to support scale-up of HIV/AIDS
programs. Here are their results…
Rwanda’s
ARV Treatment
Scale-up
Participating
Healthcare
Facilities
Test Results
Reporting of
program
indicators
Measure
Jan 05
Jan 07
# patients on
ART
3,000
31,000
Facilities
offering
treatment
16
133
Time from
sample to
receipt of
results
2 weeks
3 days
Paper-based.
Slow
Monthly.
95% on time.
Completeness.
Timeliness
Results
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Data use:
Monitor facility, district, national performance
 Managing scale-up
 Ensuring drug supply
 Donor reporting
 Etc
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Next Steps:
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New Technology,
Smart Phones
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e.g.
Improve “ease of use”
and speed of data entry
Tested in Rwanda with
NIS for SCAN-ICT
Survey
Extension to other
sectors, e.g.

Consumer Price Index
Agriculture
Education
INSR
Santé
(TRACnet
& HMIS)
Système Commerce /
Administratif Industrie
Next steps: focus on districts and
health facilities
Reflections
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“The ability to maximise use of information is now
the single most important factor in deciding the
competitiveness of nations…”
Nelson Mandela
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“It can be no accident that there is today no
wealthy developed country that is information
poor….and for that matter no information rich
country that is poor and underdeveloped…”
Mahathir Mohammed,
Former Malaysian Prime Minister