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Social Networks for Data Use
How we can leverage
a world of connections to improve the
collection, quality, and use of data?
December 8, 2017
Michelle Li, MEASURE Evaluation
Daines Mgidange, PATH
Sarah Romorini, PSI
1. Rationale and Objective
2. Methods
3. Case example: WhatsApp Groups in BID
Initiative Tanzania
4. Case example: DHIS 2 Dashboards and
Interpretation Feed in PSI’s Global Business
System
5. Lessons Learned
6. Q+A
Outline
Data use is the
‘analysis, synthesis,
interpretation, and
review of data as
part of decision-
making processes’
Data Use for Decision Making
Continuum of Data Use
Barriers to Data Use
• Electronic platform
allowing participants to
create personal profiles
and build connections
with other users
• Enables multidirectional
communication and
collaboration
Social Network Platforms
Source: freepik.com
• Can social network platforms be used to
improve the collection, quality, review,
and interpretation of data?
• How can social network platforms be
harnessed to facilitate data-informed
decision making?
Objectives
▪ Online search
▪ Published and grey
literature
▪ Online survey
▪ Google survey
▪ Distributed through
listservs and contacts
▪ In-depth key informant
interviews
Methods
▪ Cases
▪ Six cases of use of SNs in the public sector and by
implementing partners for project implementation
▪ SN platforms used
▪ WhatsApp
▪ DHIS 2 Data Interpretation Feed
▪ Objectives of social networks
▪ Sharing and standardizing communications
▪ Mobilizing resources
▪ Serving as an educational platform
▪ Sharing experiences, issues, and challenges faced
▪ Soliciting advice and peer support
Findings
▪ Data reporting
▪ Reminders for report submissions
▪ Send screenshots of reports
▪ Discussions on how to fill out reporting tools
▪ Data quality
▪ Discuss and share best practices on data quality
▪ Making available a pool of people to troubleshoot DQ
issues
▪ Data review
▪ Disseminate data visualizations to discuss interpretations
and identify necessary follow-up actions
▪ Follow up on actions plans from data review meetings
Findings
Social Networking for Data Use
WhatsApp Group
Case Study: BID Initiative-Tanzania
Daines Mgidange
BID Initiative in Tanzania
▪ The Better Immunization Data (BID) Initiative, led by the
Tanzania Ministry of Health, Community Development,
Gender, Elderly and Children (MOHCDGEC) in partnership
with PATH and funded by the Bill & Melinda Gates
Foundation.
▪ BID Initiative aims to support Tanzania to enhance
immunization and overall service delivery through improved
data quality and use.
▪ BID Initiative is grounded in the belief that better data,
coupled with better decisions will lead to better health
outcomes
Objective of the BID Initiative
• Improve immunization data quality
and availability.
• Increase data use and decision skills
at all levels of health system.
• Build motivation to use data to
improve performance.
• Increase capacity to monitor
performance.
Tanzania Key Interventions
• Development of Electronic Immunization
Registry.
• Simplified data collection tools
• Support capacity building around data
management and use
• Peer support networks - WhatsApp groups
• On the job training
• Strengthening supportive supervision
• Promoting peer learning
During the BID testing phase of interventions, we
established a WhatsApp group as a
communication forum for healthcare workers.
SUCCESS STORIES
Use of WhatsApp groups to improve data quality
• Sharing status of facilities that have
been using system to capture data
and motivating those with
incomplete status to improve.
• Health workers questioning district
immunization officers about
sending stock information to the
system so they can be able to
visualize their data based on
number of children vaccinated
versus stock
Examples of screen shot from group members
Use of WhatsApp groups to improve data review and
interpretation
• Sharing high- and low-performing districts.
• Sharing graphs and inquiring members to interpret the
data.
• District Vaccine Officer sharing field visit route ( on-the-
job training) to support data capturing and review. This
has helped health workers to be able to reschedule their
routine activities to ensure their availability for data use
discussions.
• District mentors providing technical support to health
workers on how to use electronic registry by sharing
screen shot as user guide
12/12/2017 20
Screen for data review
Support Data Use and Decisions Skills Awareness
• Emphasizing on the importance of data use by posting
data use advocacy messages (“Better data + Better
Decisions = Better health Outcomes”)
• Sharing data use guides to see indicators and possible
decisions
• Posting best practices from facilities and letting others
learn
• Sending directives from DIVOs to ensure immunization
performance are improved
• Sharing reports, graphs, charts and inquiring members to
mention decisions that can be made
12/12/2017 22
Screen Shot for Data Use
Challenges
• Not all health workers have smart phones
• Missing internet bundles to some days
• Poor internet in some areas
• Lack of power that limits members to use internet.
• Difficulties on monitoring the practices/ output of
what is learned from SN
• Delays on responses / inactive groups
• Interruption of conversation - any member can
post new agenda before closing the previous one.
• It has been easy to share data use messages to more
audiences through WhatsApp group compared to
posters that were printed and distributed to facilities.
• The engagement of senior leadership was an
important factor in the success of SNs for data use. If
leaders are involved and participate actively in the
review of data in a transparent manner, then SN
members are more likely to respond to issues raised
by them and participate in data review processes.
• Sharing data trend, performance and rate of system
use to WhatsApp group has helped some of the
health workers from underperforming facilities to
improve.
Lesson Learned
12/12/2017 24
• Identifying more data use gaps and encourage health
workers to discuss and share experiences from different
facilities
• Installing WhatsApp group to health facility tablet so it can
be easily accessed at facility level.
Next Step
12/12/2017 25
Additional Resources
• Fact sheets & Video
• BID Initiative Annual Report
• BID Initiative Blog
• Demo Country Map
• Sign up for the BID Newsletter
12 December 2017 26
Thank you.
27
Sarah Romorini
Senior Program Manager, Global Business Systems
sromorini@psi.org
Bringing data-driven conversations to life
with DHIS2
PSI at a glance
We make it easier for people in the developing world
to lead healthier lives and plan families they desire
Child health
Contraception
HIV/STIs
Malaria
Maternal health
NCDs
Water, hygiene
& sanitation
DHIS2: it’s not business as usual
How often are we using it?
Data in DHIS2
Data use
Better health
outcomes
↓
↓
What are we doing with all that data?
DHIS2 and Data Use at PSI:
a tale of two challenges...
1. DHIS2 Dashboard-mania
2. Data use measured by anecdotes
1. DHIS2 Dashboard-mania
2. Data use measured by anecdotes
A tale of two challenges:
Dashboards guided by Data to Action Frameworks
1. DHIS2 Dashboard-mania
2. Data use measured by anecdotes
A tale of two challenges:
Documented data analysis & engagement
How often are we using it?
What are we doing with all that data?
Engaging with data = Basis for
performance management
Data interpretations  better insights
Country
name
Country
name
‘90–90–90 - An ambitious treatment target to help end the AIDS epidemic’
First 90 – By 2020, 90% of people living with HIV know their status (HIV testing/case finding)
PSI’s key takeaways (so far)
Leaders
needed
Lead by
example
It´s a behavior
change
process
Recognition
works!
Next steps
- Continue enhancing
interpretations features in
DHIS2
• Make it easier to join the
conversation
• Avoid data monologues
- Continue institutionalizing the
process and building culture of
data use
Let’s tell a better story
of how we’re using our data!
Lessons Learned
• Use of known and/or intuitive software
• Strong moderator
• Institutionalize SNs in routine work
processes
• Recognize high performers and
provide incentives for participation
• Promote SNs and data use as a key
responsibility for all staff
For more information
www.measureevaluation.org/
our-work/data-demand-and-use
• Full report available at:
www.measureevaluation.org
/resources/publications/tr-
17-217
• Data demand and use
resources
• Guidance documents
• Training resources
• Tools

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Social Networks for Data Use: How we can leverage a world of connections to improve the collection, quality, and use of data?

  • 1. Social Networks for Data Use How we can leverage a world of connections to improve the collection, quality, and use of data? December 8, 2017 Michelle Li, MEASURE Evaluation Daines Mgidange, PATH Sarah Romorini, PSI
  • 2. 1. Rationale and Objective 2. Methods 3. Case example: WhatsApp Groups in BID Initiative Tanzania 4. Case example: DHIS 2 Dashboards and Interpretation Feed in PSI’s Global Business System 5. Lessons Learned 6. Q+A Outline
  • 3. Data use is the ‘analysis, synthesis, interpretation, and review of data as part of decision- making processes’ Data Use for Decision Making
  • 6. • Electronic platform allowing participants to create personal profiles and build connections with other users • Enables multidirectional communication and collaboration Social Network Platforms Source: freepik.com
  • 7. • Can social network platforms be used to improve the collection, quality, review, and interpretation of data? • How can social network platforms be harnessed to facilitate data-informed decision making? Objectives
  • 8. ▪ Online search ▪ Published and grey literature ▪ Online survey ▪ Google survey ▪ Distributed through listservs and contacts ▪ In-depth key informant interviews Methods
  • 9. ▪ Cases ▪ Six cases of use of SNs in the public sector and by implementing partners for project implementation ▪ SN platforms used ▪ WhatsApp ▪ DHIS 2 Data Interpretation Feed ▪ Objectives of social networks ▪ Sharing and standardizing communications ▪ Mobilizing resources ▪ Serving as an educational platform ▪ Sharing experiences, issues, and challenges faced ▪ Soliciting advice and peer support Findings
  • 10. ▪ Data reporting ▪ Reminders for report submissions ▪ Send screenshots of reports ▪ Discussions on how to fill out reporting tools ▪ Data quality ▪ Discuss and share best practices on data quality ▪ Making available a pool of people to troubleshoot DQ issues ▪ Data review ▪ Disseminate data visualizations to discuss interpretations and identify necessary follow-up actions ▪ Follow up on actions plans from data review meetings Findings
  • 11. Social Networking for Data Use WhatsApp Group Case Study: BID Initiative-Tanzania Daines Mgidange
  • 12. BID Initiative in Tanzania ▪ The Better Immunization Data (BID) Initiative, led by the Tanzania Ministry of Health, Community Development, Gender, Elderly and Children (MOHCDGEC) in partnership with PATH and funded by the Bill & Melinda Gates Foundation. ▪ BID Initiative aims to support Tanzania to enhance immunization and overall service delivery through improved data quality and use. ▪ BID Initiative is grounded in the belief that better data, coupled with better decisions will lead to better health outcomes
  • 13. Objective of the BID Initiative • Improve immunization data quality and availability. • Increase data use and decision skills at all levels of health system. • Build motivation to use data to improve performance. • Increase capacity to monitor performance.
  • 14. Tanzania Key Interventions • Development of Electronic Immunization Registry. • Simplified data collection tools • Support capacity building around data management and use • Peer support networks - WhatsApp groups • On the job training • Strengthening supportive supervision • Promoting peer learning
  • 15. During the BID testing phase of interventions, we established a WhatsApp group as a communication forum for healthcare workers.
  • 17. Use of WhatsApp groups to improve data quality • Sharing status of facilities that have been using system to capture data and motivating those with incomplete status to improve. • Health workers questioning district immunization officers about sending stock information to the system so they can be able to visualize their data based on number of children vaccinated versus stock
  • 18. Examples of screen shot from group members
  • 19. Use of WhatsApp groups to improve data review and interpretation • Sharing high- and low-performing districts. • Sharing graphs and inquiring members to interpret the data. • District Vaccine Officer sharing field visit route ( on-the- job training) to support data capturing and review. This has helped health workers to be able to reschedule their routine activities to ensure their availability for data use discussions. • District mentors providing technical support to health workers on how to use electronic registry by sharing screen shot as user guide
  • 21. Support Data Use and Decisions Skills Awareness • Emphasizing on the importance of data use by posting data use advocacy messages (“Better data + Better Decisions = Better health Outcomes”) • Sharing data use guides to see indicators and possible decisions • Posting best practices from facilities and letting others learn • Sending directives from DIVOs to ensure immunization performance are improved • Sharing reports, graphs, charts and inquiring members to mention decisions that can be made
  • 23. Challenges • Not all health workers have smart phones • Missing internet bundles to some days • Poor internet in some areas • Lack of power that limits members to use internet. • Difficulties on monitoring the practices/ output of what is learned from SN • Delays on responses / inactive groups • Interruption of conversation - any member can post new agenda before closing the previous one.
  • 24. • It has been easy to share data use messages to more audiences through WhatsApp group compared to posters that were printed and distributed to facilities. • The engagement of senior leadership was an important factor in the success of SNs for data use. If leaders are involved and participate actively in the review of data in a transparent manner, then SN members are more likely to respond to issues raised by them and participate in data review processes. • Sharing data trend, performance and rate of system use to WhatsApp group has helped some of the health workers from underperforming facilities to improve. Lesson Learned 12/12/2017 24
  • 25. • Identifying more data use gaps and encourage health workers to discuss and share experiences from different facilities • Installing WhatsApp group to health facility tablet so it can be easily accessed at facility level. Next Step 12/12/2017 25
  • 26. Additional Resources • Fact sheets & Video • BID Initiative Annual Report • BID Initiative Blog • Demo Country Map • Sign up for the BID Newsletter 12 December 2017 26
  • 28. Sarah Romorini Senior Program Manager, Global Business Systems sromorini@psi.org Bringing data-driven conversations to life with DHIS2
  • 29.
  • 30. PSI at a glance We make it easier for people in the developing world to lead healthier lives and plan families they desire Child health Contraception HIV/STIs Malaria Maternal health NCDs Water, hygiene & sanitation
  • 31. DHIS2: it’s not business as usual How often are we using it? Data in DHIS2 Data use Better health outcomes ↓ ↓ What are we doing with all that data?
  • 32. DHIS2 and Data Use at PSI: a tale of two challenges... 1. DHIS2 Dashboard-mania 2. Data use measured by anecdotes
  • 33. 1. DHIS2 Dashboard-mania 2. Data use measured by anecdotes A tale of two challenges:
  • 34.
  • 35. Dashboards guided by Data to Action Frameworks
  • 36. 1. DHIS2 Dashboard-mania 2. Data use measured by anecdotes A tale of two challenges:
  • 37. Documented data analysis & engagement How often are we using it? What are we doing with all that data? Engaging with data = Basis for performance management
  • 38. Data interpretations  better insights Country name Country name ‘90–90–90 - An ambitious treatment target to help end the AIDS epidemic’ First 90 – By 2020, 90% of people living with HIV know their status (HIV testing/case finding)
  • 39. PSI’s key takeaways (so far) Leaders needed Lead by example It´s a behavior change process Recognition works!
  • 40. Next steps - Continue enhancing interpretations features in DHIS2 • Make it easier to join the conversation • Avoid data monologues - Continue institutionalizing the process and building culture of data use
  • 41. Let’s tell a better story of how we’re using our data!
  • 42. Lessons Learned • Use of known and/or intuitive software • Strong moderator • Institutionalize SNs in routine work processes • Recognize high performers and provide incentives for participation • Promote SNs and data use as a key responsibility for all staff
  • 43. For more information www.measureevaluation.org/ our-work/data-demand-and-use • Full report available at: www.measureevaluation.org /resources/publications/tr- 17-217 • Data demand and use resources • Guidance documents • Training resources • Tools