The document discusses the use of data visualization tools in improving data-informed decision making for HIV programs across various regions. It highlights best practices such as collaboration with end users, ensuring data quality, and the importance of training, showcasing specific case examples from different countries. The results indicate that effective data visualization can lead to significant improvements in health outcomes by enabling more targeted interventions and resource allocation.

1. Tara Nutley
MEASURE Evaluation | Palladium
Amanda Makulec
Advancing Partners & Communities |
JSI Research &Training Institute Inc.
Colleen McLaughlin
BroadReach Healthcare
MERLTech October 3,2016
Are Dashboards the Magic Bullet
for Quicker,More Inclusive
Data-informed Decision Making?

2. Tara Nutley
MEASURE Evaluation – Palladium
Amanda Makulec
Advancing Partners & Communities – JSI
Colleen McLaughlin
BroadReach Healthcare
Who we are…

3. How are data visualization tools
being used to improve the use of
data in HIV programs?
What impact do they have on
decision making?
What are key elements of success?

4. Contacted 45 people
from 17 PEPFAR
implementing partners

5. 16 data viz
case examples
5 cited
specific data
use examples

6. Namibia
South Africa
Zambia
Tanzania
Four
case
examples

7. Collaborate with the end user to ID question(s)
Use proxy indicators when data are not available
Train on how to interpret the visualizations
Standardize data sources
Ensure data quality
Consider sustainability during development
Collaborate
with end
user
Proxy
Indicators
Analysis
Training
Standardize
data
sources
Ensure data
quality
Consider
sustainability
S i x C o m m o n B e s t P r a c t i c e s

8. MEASURE Evaluation is funded by the U.S.Agency for
International Development (USAID) under terms of
Cooperative Agreement AID-OAA-L-14-00004 and
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 Group, andTulane University.The views
expressed in this presentation do not necessarily reflect the
views of USAID or the United States government.
www.measureevaluation.org

9. Colleen McLaughlin
BroadReach Healthcare

10. ©BROADREACH 2016 10
BroadReach Vantage: Using Data and
Analytics to Drive Decision Making
Colleen McLaughlin, Director Client Delivery
cmclaughlin@brhc.com
www.brhc.com
www.broadreachcorporation.com
October 3, 2016

11. ©BROADREACH 2016 11
Case #1: Ministry of Health Executive Running a
District Health Program
Key Questions for Role:
• What is our overall performance for each of the health
priority areas?
• Upon which clinics and hospitals should we be focusing
our efforts to improve District health performance?
• How do I manage all the DOH reporting requirements?
• What are the key socioeconomic issues for my District’s
catchment population?
• Are there issues that may arise in the next 3-12 months that
will impact our performance and work?
• What is our strategy and operations plan for next year?
Where should we invest our resources and how much?
Dr. Patel
Health Systems
Strengthening Manager
Uthungulu District
KwaZulu Natal
Department of Health
Before BroadReach Analytics:
• Unable to lead and manage department effectively, hold staff
accountable for performance due to lack of actionable
information
• Ineffective resource allocation and outcomes;
• Inefficient paper based reporting system which did not allow
easy assimilation and aggregation of data across
departments, teams, and health facilities

12. ©BROADREACH 2016 12
The performance module provides Dr. Patel with an
overview of district performance across key indicators
User navigates to the
Performance Module
under the modules tab.

13. ©BROADREACH 2016 13
He is able to quickly identify areas where
performance is below target
This view gives an
overview of the district’s
performance with regards
to various indicators
The percentage of adults
with viral loads done at 12
months (70.1%), is below
the 90% target.

14. ©BROADREACH 2016 14
Dr. Patel can then drill down to a cascade view to
determine where within the three 90’s he should focus
This view is an indication of
where the user needs to focus
in terms of the three 90s, being
testing, initiation and retention.
Viral Loads Done represent the
largest gap to target.

15. ©BROADREACH 2016 15
Dr. Patel can then identify the specific facilities
having the greatest negative impact on performance
A 12.8% increase in
performance if the
top 10 facilities with
the largest negative
impact reach target.
This view gives insight
into the impact of an
intervention on the HIV
program.

16. ©BROADREACH 2016 16
He can assess where to prioritize resources and
interventions to driven the greatest value
This view gives insight
into the impact of an
intervention on the HIV
program.
Only a 4.9%
increase in
performance if the
next 20 facilities with
the largest negative
impact reach target.

17. ©BROADREACH 2016 17
Finally Dr. Patel can predict the result of no
intervention being implemented
The trend for retention in care
is predicted to decrease to 65-
70% if no intervention is
implemented.
This view provides a
forecasted view of the
district’s performance.

18. ©BROADREACH 2016 18
Data visualization provides insights to drive decision
making and ultimately improve health outcomes
• Determine priority interventions.
• Determine where such interventions needed
to be focused, and therefore drive potential
improvements of:
• % of adults with VLD at 12 months by
12.8%,
• % of adults on ART at 12 months to
70-75%
As a result, Dr. Patel was
able to:
The visualization of data leads to insights that allow for actions and the
prioritization of resources, which ultimately improves the health and
wellbeing of underserved populations.
• Identify poor performing indicators.
• Identify poor performing facilities
• Understand the trend for the district’s
performance in the absence of an
intervention.
With the Vantage platform,
Dr. Patel was able to:

19. ©BROADREACH 2016 19
Practical Results: Dramatic Improvements in Viral Load
Completion Rate Seen in Ugu District, KZN South Africa
“Utilizing BroadReach Vantage, we have effectively prioritized resources,
identifying the facilities with the greatest negative impact on overall district
performance. Optimization of resources together with focused interventions
have resulted in significant improvements in viral load completion rates
for ART patients at a clinical level, from 32% to 92% in one year.”
— Kgomotso Nyandwi, BroadReach Nurse

20. Ensure data
quality
Analysis
Training
Collaborate
with end
user
C a s e E x a m p l e B e s t P r a c t i c e s
BroadReachVantage
Additions from our experience:
• Keep it simple
• Dashboards are the first piece of the puzzle

21. Amanda Makulec
Advancing Partners & Communities – JSI

22. The Story of a
Community
Scorecard
Dashboard
Zimbabwe

23. It all started with a
simple data placemat.

24. Note: Names of district and
clinics have been
anonymized for privacy

26. The partners were
interested in having the
data in a simple, routine
visual format.

27. So our APC team coached
the local M&E Officer to
build a simple pivot table
dashboard.

28. We recorded simple, step-
by-step custom videos
accessed in Zimbabwe
through a shared Dropbox.

29. Note: Names of health centers on
the slicer are covered for data
privacy. Slicer is designed as a filter
for users to select the Health
Centre of interest and view trends
in the selected indicators.
The final product was simple, but
very effective at showing quick
snapshots of trends to identify
success stories and challenges.

31. So what?

32. Challenges identified
Actions taken
Expanding use

33. Advocacy Issue Raised
from Score Card
Actions Taken by the DHE
Shortage of STI drugs
Shortage of Infant ART
drugs
The DHE immediately phoned the respective nurse in Charge of the Clinics to send requests for
the drugs. The District Pharmacist was also tasked immediately to teach the respective nurse in
charge on how they should order the drugs on time.
The community / artisanal
miners were claiming
shortage of STIs drugs
The DHE responded by highlighting that the drugs were not in short supply but rather the problem
was defaulting patients which ended in them wanting second line STI drugs that were not available
at local clinic. The DHE agreed with CECHLA team to jointly carry out drugs/treatment literacy
interventions in areas served by this clinic.
One of the clinics was not
receiving RBF monies
Due to note receiving the funds, the clinic struggled to procure drugs in a timely manner. The
issues was presented to DHEs and RBF agents. The engagement resulted in Clinic receiving its first
RBF disbursement.
User fees very
unaffordable
Shortage of STI drugs
DHE promised to improve supply of drugs and also to reduce user fees in cases where the patients
are prescribed drugs when the clinic is out of supply.
Negative attitudes of
Health staff towards sex
workers
The nurse in charge at the local clinic and the HCC met and there is now positive/ improved
relationship between sex workers and health staff at the clinic.
“When people look at the trends, they
start to ask questions.”
– CECHLA M&E Officer

34. Collaborate
with end
user
Analysis
Training
Consider
sustainability
C a s e E x a m p l e B e s t P r a c t i c e s
Zimbabwe Community Scorecard Dashboard
Additions from our experience:
• Pick the right tool for the job
• Capacity building is critical

35. Collaborate
with end
user
Proxy
Indicators
Analysis
Training
Standardize
data sources
Ensure data
quality
Consider
sustainability
C a s e E x a m p l e
B e s t P r a c t i c e s
WhatWe Share
Additions from our experience:
• Keep it simple
• Dashboards are the first piece of
the puzzle
• Pick the right tool for the job
• Capacity building is critical

36. Sharing ideas
& insights

37. Tara Nutley
MEASURE Evaluation – Palladium
tara.nutley@thepalladiumgroup.com
Amanda Makulec
Advancing Partners & Communities – JSI
amanda_makulec@jsi.com
Colleen McLaughlin
BroadReach Healthcare
cmclaughlin@brhc.com
Follow
@MEASURE_Eval
@APC_Project
@BroadReachinfo