The 7 Steps to Improve HIV/AIDS Programs Guide presents concrete steps and illustrative examples that can be used to facilitate the use of information as a part of the decision-making processes guiding program design, management and service provision in the health sector. Download 7 Steps to Improve HIV/AIDS Programs Guide.
Tool: http://www.cpc.unc.edu/measure/publications/ms-11-46-b
Webinar Recording: http://universityofnc.adobeconnect.com/p5msoue5e67/
Generative AI for Technical Writer or Information Developers
Framework for Linking Data with Action
1. Data Demand & Use:
Framework for Linking Data
with Action
Webinar Series #5
Tuesday, February 14, 2012
Presenters: Tara Nutley, Molly Cannon,
Nicole Judice
2. Troubleshooting
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Send an email to leah.gordon@unc.edu
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A recording of the webinar will be made available
at www.measureevaluation.org/ddu
4. Agenda
• Welcome - webinar tips
• Brief overview of Data Demand and Use
• Presentation of Tools
• Field Application of Tools
• Questions and Answers
• Wrap up
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
monitor a program
create or revise a program or strategic plan
develop or revise a policy
advocate for a policy or program
allocate resources
Data Demand - decision makers specify what kind of
information they want & seek it out
9. Improving Data-informed Decision
Making
Data Users & Data Producers
Tool Application Capacity Building Organizational Support
Monitoring & Evaluation System Improvements
11. Framework for Linking Data with
Action
Creates a time-bound plan for data-informed
decision making
Encourages greater use of existing
information
Monitors the use of information in decision
making
Functions as a management tool
12. Build Data Use into Your Work
Regular Coordination & Collaboration
Engage in dialogue with stakeholders to fully
understand the:
decisions they make
information they need
data they have
best way to share/feedback information
13. Framework for Linking Data with
Action
Two versions:
Version 1 - Data
Version 2 – Decisions and questions
14. Version 1: Data
Research Findings Recommend- Decision Communic- Timeline
Question ation / Maker / ation
Decision Other Channel
Stakeholders
15. Version 1: Data
Research Findings Recommenda- Decision Communica- Timeline
Question tion / Decision Maker / tion Channel
Other
Stake-
holders
What is the 26% of females Increase DM – Dr. Monthly July 30,
level of exposed dissemination of Smith meetings, 2011
exposure to prevention messages CoM, Mrs. personal
(girls) messages via through Yent GA communicatio
to early media vs. 75% RLs & PEs OS – n
marriage exposed via religious
prevention non-media (RLs leaders,
messages? & PEs) PEs
Females Recruit 10 SDAs DM – Dr. DM—briefing Sept. 30,
reported to train religious Smith, sheet - key 2011
hearing leaders about CoM recommendatio
prevention early OS – ns
messages most marriage religious OS—radio spot
frequently prevention leaders on study key
findings, fact
16. Version 2: Decisions & Questions
Answer question that respond to immediate needs
and priorities
17. What Are Decisions &
Programmatic Questions?
Decisions - choices that lead to action
All decisions are informed by questions
All questions should be based on data
Which planning decisions do I need more
information about before I can make a
decision?
18. Decisions
Allocation of resources across states /
districts / facilities
Revising OVC program approaches to
emphasize fostering and adoption
Develop and institute workplace policies on
HIV/AIDS in all institutions in state X
Hire and allocate staff to facilities
20. Programmatic Questions
What percentage of HIV+ pregnant women in
care actually are delivering in health
facilities?
What percentage of clients starting ART are
lost to follow-up?
Are the number of family planning clients
decreasing?
21. Framework for Linking Data with
Action (Version 2)
Program Data Indicator Timeline Decision Communica- Decision/
Question Source for Maker tion Action
Analysis Channel
22. Framework for Linking Data with
Action
Program Data Indicator Timeline Decision Communica- Decision/
Question Source for Maker, tion Action
Analysis Other Channel
Stake-
holders
Are high NHP (5) 4-12-12, Regional Quarterly TBD
risk popula- Preven- number of Quarterly BCC regional
tions tion condoms thereafter Coordinator meeting
accessing Indicator distributed
condoms Form to MSMs
(BCC & CSWs
Report)
23. Team Action Plan – Part A
Part B: Answering Programmatic Questions
Question Action Steps Responsible Date Output
Person Completed Indicator
Question 1: 1. 1. 1. 1.
2. 2 2. 2.
3. 3
3. 3.
24. Action Plan
Framework for Linking Data with Action Version 2 – Action Plan
Question: Are high risk populations accessing condoms?
Action Steps Responsible Date Completed Output
Person Indicator
1. Collate logs at district level and 1. Mr. Jones 1. 5-15-12 1. Regional collated
submit to region 2. Dr. Smith condom distribution
2. 5-20-12
2. Analyze data from logs and prepare data by risk group,
data for presentation and discussion 3. Mrs. White 3. 5-30-12 by district by, quarter
3. Discuss data during quarterly 4. Mrs. White 2. Documentation
4. 4-15-12
regional meeting 5. Mrs. White (meeting minutes)
4. Make recommendations (or not) for 5. TBD that data were
6. Dr. Smith
changes in condom distribution 6. TBD reviewed, discussed
program & recommendation
5. Implement recommendations 7. Quarterly made
6. Follow-up on recommendation to 3.Documentation that
document if implemented recommendation was
7. Repeat steps 1-6 implemented
25. Building Data Use into Your Work
Use & institutionalize DDU tools:
Stakeholder Engagement Tool
Assessment of Constraints to Data Use
Information Use Map
PRISM
7 Steps Approach to Data Use
Framework for Linking Data with Action
https://www.cpc.unc.edu/measure/our-work/data-demand-and-
use
27. Nigeria
Adapted tool
Used at different levels
Clinical and service delivery
Program and organization
State
National
28. Nigeria – NGO Framework Example
Stake- Decisions/ Questions When will Indicators Source How will When
holders Actions decision and/or data of data data be are data
be presented avail-
made? ? able?
LGA Leveraging What type of IGA May, 2010 # of clients Monthly Narratives, March/
Chairman resources for would work? referred for IGA reports Graphs April,
income What are the (by types) and Tables 2010
generating characteristics of # of clients who
activities clients? How many accessed IGA
(IGA) clients are to be (by types)
supported?
LGA Planning and How many people Monthly # of clients Monthly Narratives Monthly
Chairman resource access HCT tested, # that Report and
allocation services? What % received result, univariate
of clients tested # of reactive analysis
were reactive and and referred for
referred? Are the treatment, #
number of staff trained in
adequate? providing HCT
29. Jamaica – Regional Framework
Examples
Programmatic Data Source Indicator Timeline Decision Maker Communication
Question for Channel
Analysis
What is the accurate - Self reporting # or % of Monthly - National M&E Monthly reports to
level of adherence - Pharmacy pick PLHIV with Unit Officer pharmacy, Adherence
among PLHIV in the ups 95% - Team that counselor, nurses
Western Region? - Pill count adherence includes SW,
clinicians, AC
What is the cost of - Pharmacy - Usage April 2012 - Regional - Budget submission
ARV drugs to the Database pattern for the Then Technical Director - HIV Budget Report
region? - National Health individual every 6 - Budget Presentation
Fund drugs months - Dissemination
- Treatment and - # of persons meeting via MOH
care component who need
of the NHP ARVs
- HIV
Incidence in
the region
31. 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 21, 2012 at
9:00 am Seven Steps to Use Routine
Information to Improve HIV/AIDS Programs –
A guide for program managers
32. Join Data Use Net
Send an email to listserv@unc.edu. Leave the
subject field blank and in the body of the message
type ‘subscribe DataUseNet.’ For example:
To: listserv@unc.edu
From: youremail@youremail.com
Subject:
Subscribe Data Use Net
34. MEASURE Evaluation is funded by the U.S. Agency for
International Development (USAID) and implemented by the
Carolina Population Center at the University of North Carolina
at Chapel Hill in partnership with Futures Group International,
ICF International, 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
Editor's Notes
We are all aware of the challenges involved in providing quality health services in the contexts where we work. In many countries health programs are facing a high disease burden, a growing population, inadequate numbers and poor distribution of qualified health workers, and inadequate health systems to support the distribution of services. It is in this situation that it becomes extremely important for to make the best use of their limited resources. The need to develop strategies, policies, and interventions that are based on quality data and information is urgent.
The importance of data-informed decision making is expressed on this slide by a national-level policymaker in Nigeria who participated in a data use assessment conducted by MEASURE Evaluation. The assessment involved interviews with a range of professionals at the national, regional, and facility levels. The policymaker interviewed, stated… (READ SLIDE)“… 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.” This statement nicely summarizes why we are here today to discuss the importance of improving data-informed decision making.
Not reporting or disseminationREVIEWING & DISCUSSING
When we talk about improving the use of and demand for data in decision making we talk about it as a cycle – not a one-time event. The idea of a cycle of evidence-based decision making is the framework on the slide. It starts with basic M&E systems and the collection of information – including ensuring that the information is available and in a format that is easily understood by relevant stakeholders so that the information can be interpreted and used to improve policies and programs. The cycle supports the assumption that the more positive experiences a decision maker has in using information to support a decision, the stronger the commitment will be to improving data collection systems and continuing to use the information they generate. This leads to repeated data use. You will note that this cycle is supported by coordination and collaboration. This coordination is among data users and data producers as well as between management systems and other organizational supports that facilitate and support data informed decision making. Lastly, the cycle is supported by improving capacity to ensure that individuals are equipped with the skills to collect and use data. All of these supports are critical to ensure that the cycle continues functioning to create a culture of data use. Yet, we all know that cycles that rely on multiple inputs, activities and systems to function effectively – often don’t. In the best designed M&E systems you often find lackluster data use. Data is not being used as often as it should be.
How do we improve DDU?Firstly, build upon a commitment and ongoing efforts to improve M&E and information systems – this is the foundation of all data use improvement interventions.Identify and engaging data users and data producers is also critical. By data users we are referring to those whose primary function is to manage data systems and by data users we are referring to those whose primary function is to use data to monitor and improve health service delivery. These two groups don’t always work closely together. For data use to function as we saw on the previous slide, regular collaboration between these two groups is critical. It is also important to apply tools, build capacity and strengthen organizational systems to support data informed decision making. In this webinar series we will be discussing tool application (the pink box) and the types of tools MEASURE Evaluation has developed to facilitate DDU. The last webinar session of this series will address capacity building and at a later date we will offer a webinar on strengthening organizational supports to improve data demand and sue. The combination of tool application, capacity building and strengthening organizations are all complimentary and necessary elements of any strategy to improve the use of data in decision making.
The Framework for Linking Data with Action can assists you to implement your leadership practice of ‘planning and aligning’ while meeting the other demands of you job. Everyone on your team already has a job with a full workload in their specific program area. It can be hard to the find time to come back together and work toward regular data use. The Framework for Linking Data with Action helps to keep everyone on the same page, especially while managing their other work priorities. It’s a management tool—a combination of template and process—that serves three key purposes:1) Creates a time-bound plan for data-informed decision making by setting dates by which data should be reviewed in relation to key programmatic questions and upcoming decisions. 2) Encourages greater use of existing information byidentifying existing data resources and linking that information with the programmatic questions that need answers to support evidence-based decision making.Last, it provides you with a data-informed decision-making ‘record’ so that you can— 3) Monitor the use of information in decision making—Providesa timeline for conducting analyses and making decisions.
Now let’s discuss the practical aspect of data use. How can you manage to build data use into your work? How do you ensure that data use becomes part and parcel of your organization’s day-to-day duties? The answer is to PLAN for it and to LEAD. The first strategy is to make this a REGULAR team effort. As leaders in your organizations, it is important to inspire and align others to participate. The key here is to involve the data users and data producers so that you fully understand the:Decisions they makeThe various processes for decision making and how they can be alignedThe information different decision makers need to make decisions – remember the earlier slide – there is a lot of quality information collected in this country. It is challenging to know and keep up with what’s out there – we need to alert each other of our data resources. And lastly, the best way to share your data and information both among yourselves and back to those that collected it. The underlying element that facilitates smooth coordination and collaboration among stakeholders is to know your stakeholder’s needs and to strategically engage them in the data use process. MANAGEMENT PLAN
Data: should be used when a new data collection or analysis activity has been completed. This version provides a framework for identifying and documenting key findings, recommendations linked to those findings, and specific actions that can be taken based on the recommendations. 2. Decisions and questions: should be used when there is a specific decision to be made, or stakeholders have specific questions around program or policy issues. It facilitates evidence-based decision making by providing a clear, systematic process for identifying and documenting: Actions and/or decisions Questions that decision makers need to answer in order to take action or make a decision Data required to answer the question and sources for these data
Encourage better use of existing information—Identifies existing data and uses that information to answer questions that will support evidence-based decision making. For example, a research group mandated to evaluate the effectiveness of a national family planning program has completed the report and is now interested in ensuring that this information is used to improve programs and influence family planning policies.Version 1: Data—assists M&E specialists, researchers and program managers with identifying useful applications of existing data. The following steps would commonly be implemented when using this version:»» Identify main research questions from existing data source.»» Identify key findings from analysis.»» Interpret findings with appropriate stakeholders.»» Identify recommendations for action or decision that could be influenced by these findings.»» Determine the decision-makers and key stakeholders necessary to make the decisions or take action.»» Determine the appropriate communication channel to reach the decision-maker and key stakeholders.»» Develop timeline to implement the
Encourage better use of existing information—Identifies existing data and uses that information to answer questions that will support evidence-based decision making. For example, a research group mandated to evaluate the effectiveness of a national family planning program has completed the report and is now interested in ensuring that this information is used to improve programs and influence family planning policies.Version 1: Data—assists M&E specialists, researchers and program managers with identifying useful applications of existing data. The following steps would commonly be implemented when using this version:»» Identify main research questions from existing data source.»» Identify key findings from analysis.»» Interpret findings with appropriate stakeholders.»» Identify recommendations for action or decision that could be influenced by these findings.»» Determine the decision-makers and key stakeholders necessary to make the decisions or take action.»» Determine the appropriate communication channel to reach the decision-maker and key stakeholders.»» Develop timeline to implement the
The Framework is unique because it forces you to identify your priority programmatic questions. Why is it important to focus on your questions?Remember this slide? Vast amounts of HIV data are available to you. When working to improve DDU can be hard to know where to start. IMPORTANT to have a data use success. You can be more efficient by first identifying and then prioritizing key questions of interest. Available data can then be analyzed in a targeted way to answer these questions. This gives you a DDU success and generates motivation to continue the DDU process.
Lets clarify what we mean by ‘decision’….For example: every day you need to make a decision about what to wear outside of the house. To make this decision, you may ask yourself some questions that will inform it:What is the temperature?Is it raining?What events do I have planned for the day?To answer these questions, you may consult the thermometer, the weather report, or your daily calendar.
In some contexts, a decision cannot be identified before a key programmatic or policy question is answered. Or decision makers may have a question about their program for which they need an answer. It is the answer to this question that may provide the evidence that some kind of action needs to be taken to either improve or realign services. In these cases, we focus on identifying ‘programmatic questions,’ as opposed to decisions.
Let’s look at the tool. What is unique about this tool is that it starts with identifying your programmatic questions. These are the questions you have about your program on a regular basis. Answers to these questions let you know if you are on track with your program activities. If you are meeting your programmatic objectives. If you have are meeting the needs of the populations you are serving.
So what might be a relevant programmatic question to this group?We recommend that each regional team use the F4LDwA as a way to prioritize the questions that are important to managing a coordinated response to HIV in your regions. You can use this tool as a way to not only make sure those questions get answered, but also to track if recommendations that are made based on those analysis actually get implemented. It’s a way to monitor the data use process .
Refer to Handout
Refer to Handout
You can also institutionalize the use of tools that can facilitate this process. MEASURE Evaluation has developed a set of tools that facilitate DDU. They include:In the next hour we will discuss and practice using one of these tools – the Framework - that you can regularly use to help institutionalize data use among your team.