Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Information Products
to Drive Decision
Making
Eric Geers, MPH, MA
MEASURE Evaluation
Palladium
May 9th, 2017
Webinar
Routine health information
system (RHIS)?
Information that is collected at regular periods
in a year to support decision m...
Types of Internet-based RHIS:
1. Health management information system (HMIS)
2. Human resources for health information sys...
• Limited reach for the use of internet-based
RHIS
• Describe barriers to data use
• Information products are tools for RH...
Assessment overview
MEASURE Evaluation project
Kenya:
• September 2015 to April 2016
Tanzania:
• March to July 2016
Research aims
• Availability of information products
• Potential for improvements
• How best to use information products
M...
Data sources
• Data accessed
• Data systems used
• Triangulation
Questions
User experiences
• Relevance of information
pro...
Ripple effect of data use…
“We need to change the whole
culture and practices of
information sharing to
motivate health pr...
Limited work force and
technical capacity to fulfill
a triple burden of:
• Service delivery
• Data collection
• Data use
W...
Reduce burden of
• Data collection
• Data management
Promotion of data use
Facilitate access to data through
• Preselected...
Who can / should produce
information products?
National & Regional District & Facility
Technical Ability &
External Suppor...
Design and test new information products
• Identify information needs of service providers
• Create visuals that highlight...
“If available, an information product would be
useful to provide feedback on performance. It
would help [us] to set new ta...
• Performance comparisons
• Recommendations on how to improve performance
• Suggestions on where to focus resources
• Shar...
Next level of data use:
Performance review meetings
Barriers:
• Specialization
• Lack awareness / access
• Differing time periods
• Conflicting data
Solutions:
• Incremental ...
Observations of product use
Observations of product use
Questions Observations
What does
this info tell
me?
“… We are looking at performance for PMTCT...
Observations of product use
Observations of product use
Questions Observation
What does
this info tell
me?
“…you can… kind of find out… how many of th...
Provide regular, standardized information
products for specific target audiences
Staff value feedback
Relate routine data ...
Questions?
www.measureevaluation.org/resources/publications/sr-17-145-en
Eric Geers, MEASURE Evaluation
Eric.Geers@thepall...
This presentation was produced with the support of the United States Agency for
International Development (USAID) under th...
Upcoming SlideShare
Loading in …5
×

Information Products to Drive Decision Making

575 views

Published on

Webinar presentation by Eric Geers

Published in: Health & Medicine
  • Be the first to comment

  • Be the first to like this

Information Products to Drive Decision Making

  1. 1. Information Products to Drive Decision Making Eric Geers, MPH, MA MEASURE Evaluation Palladium May 9th, 2017 Webinar
  2. 2. Routine health information system (RHIS)? Information that is collected at regular periods in a year to support decision making at different levels of health system • Service or resource records systems from facility and community-based public, private, and parastatal service providers
  3. 3. Types of Internet-based RHIS: 1. Health management information system (HMIS) 2. Human resources for health information system (HRHIS) 3. Logistics management information system (LMIS) 4. Disease surveillance response system (DSRS) 5. Disease-specific system 6. Don’t know What type of internet-based RHIS is most useful for managing health services?
  4. 4. • Limited reach for the use of internet-based RHIS • Describe barriers to data use • Information products are tools for RHIS engagement Presentation aims
  5. 5. Assessment overview MEASURE Evaluation project Kenya: • September 2015 to April 2016 Tanzania: • March to July 2016
  6. 6. Research aims • Availability of information products • Potential for improvements • How best to use information products Methods Informants • HIV/AIDS and MCH staff, national to health facility (n=57) • Kenya (n=23): 3 counties • Tanzania (n=34): 4 districts
  7. 7. Data sources • Data accessed • Data systems used • Triangulation Questions User experiences • Relevance of information products • Preferences to receive information • Data reviews • Challenges / motivations https://www.measureevaluation.org/ resources/publications
  8. 8. Ripple effect of data use… “We need to change the whole culture and practices of information sharing to motivate health providers. They need to feel and see the value of the data they collect by sharing with them frequently the outcome of the work they do on the data.” National
  9. 9. Limited work force and technical capacity to fulfill a triple burden of: • Service delivery • Data collection • Data use Why no data use at facility?
  10. 10. Reduce burden of • Data collection • Data management Promotion of data use Facilitate access to data through • Preselected indicators • Understandable presentation of analysis • Feedback on performance
  11. 11. Who can / should produce information products? National & Regional District & Facility Technical Ability & External Support Data Collection & Reporting Burden Service Provision Technical Ability & External Support Data Collection & Reporting Burden Service Provision
  12. 12. Design and test new information products • Identify information needs of service providers • Create visuals that highlight key messages in data • Pilot test • Orient intended audience to product • Disseminate prior to key planning events Where to focus?
  13. 13. “If available, an information product would be useful to provide feedback on performance. It would help [us] to set new targets reasonably. It would help [us] measure our own performance. It would help [us] to correct ourselves where we go wrong. It would guide us where to put more efforts.” Informants value feedback
  14. 14. • Performance comparisons • Recommendations on how to improve performance • Suggestions on where to focus resources • Sharing of best practices • Predictions of problems • Recognition of good performance • Guidance on how to access other data • Guidance on whom to involve in the review Brief, written feedback within information product
  15. 15. Next level of data use: Performance review meetings
  16. 16. Barriers: • Specialization • Lack awareness / access • Differing time periods • Conflicting data Solutions: • Incremental integration based on need • Links to other databases • Training on multiple databases Triangulation of data sources
  17. 17. Observations of product use
  18. 18. Observations of product use Questions Observations What does this info tell me? “… We are looking at performance for PMTCT… We look at the gap… We need to figure out why those mothers who are positive are not getting the prophylaxis.” Any questions about the program? “… Quality issues with the data… You can’t know which health facility, or even which county.” Next steps? “… interrogate the data… A lot of our mothers, if you go back to the registers, actually get prophylaxis. So we would probably do a DQA [data quality audit].” Recommend “I would recommend that the team conduct facility-level data analysis to identify which facility is reporting this data.”
  19. 19. Observations of product use
  20. 20. Observations of product use Questions Observation What does this info tell me? “…you can… kind of find out… how many of them did get their prophylaxis, the total number of maternal ANC patients, and the total number of those who are positive… So you can even now try to judge: are they doing very well or is there an area that they need to do an intervention.” Any questions about the program? “…there are areas with more [HIV-positive pregnant women]…is it because of population…or way of life…” Next steps? “This can tell you a lot…give you a lot to plan for interventions.” Recommend “… It will require a field visit after digging deeper…”
  21. 21. Provide regular, standardized information products for specific target audiences Staff value feedback Relate routine data to service delivery with data review opportunities Summary
  22. 22. Questions? www.measureevaluation.org/resources/publications/sr-17-145-en Eric Geers, MEASURE Evaluation Eric.Geers@thepalladiumgroup.com
  23. 23. This presentation was produced with the support of the United States Agency for International Development (USAID) under the terms of MEASURE Evaluation cooperative agreement AID-OAA-L-14-00004. MEASURE Evaluation is implemented by the Carolina Population Center, University of North Carolina at Chapel Hill in partnership with ICF International; John Snow, Inc.; Management Sciences for Health; Palladium; and Tulane University. Views expressed are not necessarily those of USAID or the United States government. www.measureevaluation.org

×