Performance of Routine Information System Management Framework (PRISM) led by Natasha Kanagat The PRISM framework consists of four tools to assess Routine Health Information System (RHIS) performance, identify technical, behavioral and organizational factors that affect RHIS, aid in designing priority interventions to improve performance and improve quality and use of routine health data. Recording: http://universityofnc.adobeconnect.com/p1edhgz9zs7/ PRISM Tool: https://www.cpc.unc.edu/measure/publications/ms-11-46-d

1. Data Demand & Use:
PRISM Tool
Webinar Series - # 7
Tuesday, February 7, 2012
Presenters: Natasha Kanagat & Molly Cannon

2. Agenda
• Welcome - Webinar tips
• Brief overview of Data Demand and Use
• Presentation of Tool – PRISM
• Questions and Answers
• Wrap up

3. Troubleshooting
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 Send an email to leah.gordon@unc.edu

4. Tips for Participating in the
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 A recording of the webinar will be made available
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5. Why improve data-informed
decision making?
Pressing need to develop health
policies, strategies, and
interventions

6. “… without information, things are done
arbitrarily and one becomes unsure of
whether a policy or program will fail or
succeed. If we allow our policies to be guided
by empirical facts and data, there will be a
noticeable change in the impact of what we
do.”
National-level Policymaker, Nigeria

7. Definitions
 Data use – Using data in the decision making
process
 create or revise a program or strategic plan
 develop or revise a policy
 advocate for a policy or program
 allocate resources
 monitor a program
 review must be linked to a specific decision making process
 Data Demand - decision makers specify what kind of
information they want & seek it out

8. Data-informed Decision Making Cycle

9. Improving Data-informed Decision
Making
Data Users & Data Producers
Tool Application Capacity Building Organizational Support
Monitoring & Evaluation System Improvements

10. PRISM:
Performance of Routine Information
System Management

11. Rationale for strong Health
Information Systems
 Improving health
 Essential foundation of public health
action and health systems strengthening
 “Are we doing things right?”

12. HIS Data Sources
Reference: HMN Framework and Standards for Country Health
Information Systems, Second edition

13. Routine Health Information
System
 A system that provides information at
 regular intervals of a year or less through
mechanisms designed to meet
 predictable information needs.
 Includes paper-based or electronic health
records, and facility- and district-level
management information systems.

14. Routine Health Information System
Performance
Data
Quality Continuous
use of
information

15. Challenges of implementing good
HIS
 Parallel, uncoordinated systems
 Vertical programs
 Reporting requirements
 Resource constraints
 Poor data quality
 Lack of data use for decision making

16. The data collection forms are too
complicated.” …
“What is the use of collecting data
when nobody uses it?” …
“Upper management is not
committed to RHIS activities.” …

17. Performance of Routine Information System
Management (PRISM) Framework

21. How are PRISM assessment
findings used?
To identify interventions that
improve quality of data and use
of information

22. Types of Interventions
 Technical interventions
 Behavioral interventions
 Organizational interventions

23. Examples of technical interventions
 Defining a set of essential indicators
 Standardize a data generation architecture
based on best practices
 Development of computerized data
analysis/presentation application: DSS,
Morocco

24. Examples of organizational and behavioral
interventions (let us go a step further...)
 Create incentives for use of information
(Pakistan, Uganda)
 Promote HMIS self-assessment (Uganda)
 Introduce Performance Improvement Tools
focused on problem solving approach
(Thailand)

25. Country Experiences
Mexico & Pakistan

26. Mexico: Understanding
organizational and behavioral
factors affecting DQ and Data Use

27. How Were OBAT Findings Used?
• A website was created, all 33 state health departments
accessed the OBAT questionnaire. The information
processed by OBAT was relayed to the national level;
• National authorities able to prioritize interventions and
produce a plan for the incoming government to improve
information use and decision making at all levels;
• Measuring HMIS performance, based on funding
availability, was recognized as important.

28. Pakistan: Tracking quantitative HIS
performance measurements over time
Improvements in Data Accuracy and Use of
Information Before and After Pilot test in Pakistan,
2006
80
70
60
Percent
50 Accuracy
40
30 Use of info
20
10
0
Interventions
Before After

29. How were pilot test findings used?
 A separate training manual developed to
assess data quality and use of information
 Facilities and the districts implemented
monthly performance reviews using DHIS
information and recorded decisions on a new
DHIS register
 A National Action Plan for DHIS, approved by
the Government of Pakistan in February 2007

30. Countries where PRISM has been
used

31.  The application of the PRISM
framework and its tools in various
countries has led to data quality
improvement and increased use of
information for decision making
 Adaptable & Flexible
 Can be used by a variety of
stakeholders

32. PRISM Resources
 The PRISM framework and tools are available as free
downloads from the MEASURE Evaluation website:
https://www.cpc.unc.edu/measure/tools/monitoring-
evaluation-systems/prism

33. Questions and Answers

34. MEASURE Evaluation DDU Resources
 www.measureevaluation.org/ddu
 Data Demand and Use Tool Kit
 Data Demand and Use Training Resources
 Next webinar will be on February 14, 2012 at
9:00 am EST…Framework for Linking Data with
Action
 To sign up for Data Use Net, send an email
to listserv@unc.edu. Leave the subject field
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35. Presenter Contact Information
 Molly Cannon – mcannon@futuresgroup.com
 Natasha Kanagat – natashakanagat@jsi.com

36. MEASURE Evaluation is a MEASURE project funded by the
U.S. Agency for International Development and implemented by
the Carolina Population Center at the University of North Carolina
at Chapel Hill in partnership with Futures Group International,
ICF Macro, John Snow, Inc., Management Sciences for Health,
and Tulane University. Views expressed in this presentation do not
necessarily reflect the views of USAID or the U.S. Government.
MEASURE Evaluation is the USAID Global Health Bureau's
primary vehicle for supporting improvements in monitoring and
evaluation in population, health and nutrition worldwide.