data demand & use (ddu)
DESCRIPTION
Data Demand & Use (DDU). Why we collect health-related data. Session Overview. Understanding the need for data Importance of improving data informed decision making Explain the context of decision-making R ole of monitoring and evaluation data in decision making - PowerPoint PPT PresentationTRANSCRIPT
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Data Demand & Use(DDU)
Why we collect health-related data
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Session Overview Understanding the need for data
Importance of improving data informed decision making
Explain the context of decision-making Role of monitoring and evaluation data in decision making
Highlight determinants of data use List potential barriers to data use Assessment of Barriers to Data Use Tool
Explain the relationship of stakeholders to the data use in decision making cycle Stakeholder Assessment and Engagement Tools
Linking decisions and questions with potential data sources Identify priority decisions and programmatic questions Create a time-bound plan for using data in decision making Framework for Linking Data with Action Tool
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Understanding the need for data
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Decisions Within Programs
Ensure program activities are executed as planned & services are delivered as intended Are we doing the right things, doing them right, and
reaching those we intended? Decisions about:
employment & manpower mobilization & allocation of resources needed information and developing feedback channels
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Factors other than evidence-based information influence decisions
Power relationships Timing Competing priorities Public opinion Political ideology
Arbitrariness Local culture of
decision-making Other information
sources
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Understanding Decision-Making
What is the decision to be made? Who makes it? When and why is the decision made? How is the decision made? What information is needed?
What is my role in decision making?
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Why Improve Data Informed Decision Making?
HIV epidemic Resurgence of TB Continued prevalence of malaria Pockets of stalled fertility decline Population burden Shortage of health care workers
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Context
Pressing need to develop health policies, strategies and
interventions
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Why Improve Data Informed Decision Making?
Increased financial investments for service delivery
Increased accountability requirements Improved national HMIS Increased demand for evaluation and other
research
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Why address data demand & use?
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Evidence-based Decision Making Process
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Level of Dissatisfaction that Policy is Based on Scientific Evidence
Per
cent
dis
satis
fied
Overseas Development Institute, Jones et al., 2008.
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Challenges
Integrated HMIS still not fully functioning Little or no communication between data
producers and data users Low capacity to collect, analyze & interpret data Limited or no culture of data use
Data collection and use not a priority
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The Response
Monitoring & Evaluation Systems
Better Health
Outcomes
Data Informed Decisions
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Group Participation
How do you and your organization use data and information?
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We can use information to… Inform health policies and plans Raise additional resources Strengthen programs and improve results Ensure accountability and reporting Improve quality of services provided Contribute to global lessons learned
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“Making Data Speak” in Thailand Need: Strengthen commitment of policy makers to
HIV Prevention Data: Behavioral and epidemiological data Response:
Analyzed data with Asian Epidemic Model and Goals model Determined responses and resources needed Communicated data to stakeholders
Decision/Action: Successfully emphasized prevention agenda in national
strategic plan and developed an operation plan to guide prevention programming
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Key Messages
Decisions based on evidence lead to better health outcomes
We all have a role in M&E – partners in progress
High quality information is needed for decision-making at policy, planning and program levels
Purpose of M&E is not just to produce more information but to inform action
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Determinants of DDU
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What Determines Data Demand & Use?
ORGANIZATIONAL TECHNICAL
BEHAVIORAL
* Based on PRISM analytical framework (LaFond, Fields et al. 2005 The PRISM: An Analytical Framework for Understanding Performance of Health Information Systems in Developing Countries. MEASURE Evaluation).
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Data are often underutilized because of…
Technical constraints Individual technical skills, Availability of computers, Data system design, Definition of indicators, Lack of data quality assurance protocols
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Data are often underutilized because of…
Organizational constraints Structural – roads, telecommunication Organizational – clarity of roles, support,
flow of information Political interference
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Data are often underutilized because of…
Individual constraints Decision maker attitudes, Staff motivation, Lack of “data culture”
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What Determines Data Demand & Use?
ORGANIZATIONAL TECHNICAL
BEHAVIORALPOLITICS
CULTURE
SOCIETY
* Based on PRISM analytical Fields et al. 2005 The PRISM: An Analytical Framework for Understanding Performance of Health Information Systems in Developing Countries. MEASURE Evaluation).
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What barriers have you faced to using or getting others to use data and
information?
Discussion
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Assessment of Data Use Constraints Tool
Purpose To improve understanding of the demand for data and the
constraints to data use
Description Key informant interview guide designed to identify
constraints Identifies effective practices in data use Two versions - Facility level assessment & national and
sub-national assessment
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Assessment of Data Use Constraints ToolTechnical Constraints
Technical constraints are related to the ability to generate high-quality data and analyses.
RA8 Have you ever had an experience while making a policy or program related decision when you were concerned about the quality of the information being used?
RA9 Are there multiple sources of information or statistics for issues of importance to you, and have you experienced any problems caused by having different estimates?
RA10 I am interested in knowing about technical capacity for collecting and using information. Does your agency have the technical capacity to produce reliable information without a lot of external technical assistance?
RA11 Does your agency have the technical capacity to ensure access to and availability of reliable data?
RA12 Has there been an occasion when data quality or local technical capacity made it difficult for you to use information in making a decision?
RA13 How would you have gone about preventing this situation?
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Barrier: Steps involved
PersonResponsible
Other stake-holders
General timeline
Addressing Barriers to Using Data and Information in Decision-making
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Activity:Assessment of Data Use Constraints ToolChoose a note taker
Discuss barriers to data use experienced in your work. Here are some questions to start your discussion:
Have you ever had an experience while making a policy or program related decision when you were concerned about the quality of the information being used?
Does your agency have the technical capacity to ensure access to and availability of reliable data?
What specific challenges have you experienced among your staff when it comes to using data?
How does your organization support having the necessary information to make decisions?
Time for activity: 45 minues
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Barrier: Lack of technical capacity in M&E
Steps involved
PersonResponsible
Other stake-holders
General timeline
Proposed Intervention: Train all program managers in X organization on basic monitoring and evaluation (indicators, developing M&E plan, documenting results, managing towards results, etc.)
Identify funding
Director Deputy, program mgr
January2008
Seek out trainers and curricula
M&E Specialist
Deputy director, Training coordinator
February 2008
Addressing Barriers to Using Data and Information in Decision-making
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Report Back on the Assessment of Data Use Constraints Tool
Share priority barriers Discuss solutions crafted Present action plan for two priority barriers Report back: 2 groups, each 10 minutes
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Context of decision-making
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Discussion
How can we ensure that information is being used to make diagnoses
and inform decisions?
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Stake-holders
Decisions
Context of Decision-making
Data
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Stake-holders
Decisions
Context of Decision-making
Data
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What is a Stakeholder?Any person, group or organization with a particular interest in a policy or program Government agencies Beneficiaries Policymakers Funding agencies Providers / Implementers Civil society Researchers M&E Specialists
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Stakeholders Non-governmental organizations Professional associations Religious leaders Journalists/media Private sector/business
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Data Producers vs. Data UsersData producers think that decision-makers:• Value “political” considerations over evidence• Are unprepared to measure or evaluate the consequences of
their decisions
Decision makers or data users think that health researchers and M&E specialists: Lack responsiveness to priorities Favor numbers / jargon to transparent communication Prefer written reports to face-to-face conversation
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Importance of Knowing Your Stakeholders
View activities from different perspectives
Have different degrees of understanding
Need/want different information
Need information at different levels of complexity
Have different intensities of interest
Have different roles in the decision making process
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Results of Involving Stakeholders in Data Use Process
Relevance of data Ownership of data Appropriate dissemination of data Use of data
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Stakeholder Analysis Matrix & Engagement Plan
Clarifies who has interest in a program and what that interest is
Identifies who can help a program and how, and who can hurt it
Helps you use this information for the success of the planning effort
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Stakeholder Analysis Matrix
The Stakeholder Analysis tool is a matrix framework and process for:
Identifying stakeholders Defining their roles and resources Identifying dynamics among stakeholders Setting the optimum stakeholder group
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Stakeholder Analysis MatrixName of stakeholder organization, group or individual
Stakeholder descriptionPrimary purpose, affiliation, funding
Potential role in the issue or activity
Level of knowledge of the issue
Level of commitmentSupport or oppose the activity, to what extent, and why?
Available resourcesStaff, money, technology, information, influence
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Name of stakeholder organization, group or individual
Stakeholder descriptionPrimary purpose, affiliation, funding
Potential role in the issue or activity
Level of knowledge of the issue
Level of commitmentSupport or oppose the activity, to what extent, and why?
Available resourcesStaff, money, technology, information, influence
National AIDS Control Committee
Involved in planning, implementation, M&E of all HIV/AIDS programs in the country; approves donor and NGO-funded HIV/AIDS programs
Facilitate the stakeholder meeting, prepares for meeting by identifying data sources and preparing an agenda
High – receives reports on PMTCT activities from MCH division at MOH; Medium level of knowledge of int’l guidelines and studies
Strongly support the activity, but hesitant to use international data sources. NACC opposes use of the DHS and most recent international estimates as they consider these sources to overestimate HIV prevalence
Staff available to facilitate; Room and computers available for meetings at NACC headquarters
Stakeholder Analysis Matrix Program issue Develop plan (inc. M&E plan) to scale-up PMTCT programs throughout systemProposed activity Convene stakeholders to identify priorities based on available data and develop action planDate November 2006
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How to Involve Stakeholder Quarterly program management meetings
Quarterly meetings to interpret RHIS data Involvement of facility staff to interpret program
data M&E System improvement
Indicator planning and/or harmonization Data quality review meetings
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Stakeholder Engagement Plan
Stakeholder organization, group
or individual
Potential role in the activity
Engagement strategy
How will you engage this stakeholder in the activity?
Follow-up strategyPlans for feedback or
continued involvement
Program issueProposed activityDate
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Stakeholder Engagement Plan
Stakeholder organization, group or individual
Potential role in the activity
Engagement strategyHow will you engage this
stakeholder in the activity?
Follow-up strategyPlans for feedback or
continued involvement
National AIDS Control Committee
Facilitate the stakeholder meeting, prepares for meeting by identifying data sources and preparing an agenda that allows for the sources to be discussed
The NACC is the lead in this activity. It will be important for the NACC to involve more specifically the PMTCT coordinator, clinical care coordinator and National AIDS Program Coordinator
The NACC is responsible for following up with the stakeholders prioritized
Program issue Develop plan (inc. M&E plan) to scale-up PMTCT programs throughout systemProposed activity Convene stakeholders to identify priorities based on available data and develop action planDate November 2006
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Stake-holders
Decisions
Context of Decision-making
Data
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Decision Areas
Program design and evaluation Program management and improvement Strategic planning Advocacy and policy development
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Program Design & Evaluation
Design Select messages for prevention campaigns
Evaluation Determine if new program approaches are
needed to ensure that health impact objectives are met
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Program Management and Improvement
Management Determine if the program is meeting its
process objectives Improvement
Develop new strategies to increase coverage
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Strategic Planning
Identify geographic areas of highest need
Determine human resource allocation Determine which of offered services is
making the greatest impact
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Advocacy and Policy Development
Identifying and quantifying underserved populations
Identifying focus areas for new policies
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Stake-holders
Decisions
Context of decision-making
Data
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Data and Information Census Vital events data Surveillance data Household surveys Facilities level service statistics Financial and management information Modeling, estimates and projections Health research
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Stake-holders
Decisions
Factors Other than Data that Influence Decisions
Data
Political Ideology
Competing Priorities
Power Relationships
Public Opinion
Arbitrariness
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Stakeholders Involve new counterparts
Strengthening the Decision-Making Process
Decisions Understand service delivery realities
Data May require additional data
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Activity: Stakeholder matrix & engagement plan
Break into small groups Each group should select a decision that they make in
their work settings and complete the stakeholder analysis around that decision.
A minimum of 7 stakeholders should be identified Complete the matrix across the columns for 1-2
stakeholders. Select one stakeholder and complete the stakeholder
engagement plan for that stakeholder Time for activity: 45 minutes
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Group Work Report Back Have note taker transfer your final Stakeholder
Analysis Matrix onto flip chart paper Share the decision your group chose Share the priority stakeholders selected Choose 1 stakeholder and share the entire row
from the matrix for that stakeholder Share the Engagement Plan for the same
stakeholder 2 groups report back: 10 minutes each
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Linking decisions and questions with potential data sources
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Building Data Use into Your Work PLAN PLAN PLAN ! Regularly review your data – schedule time Use the Framework for Linking Data With Action Engage in dialogue with stakeholders to fully
understand the decisions they makeinformation they need best way to present that information
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Elements of the Framework
Decision makers and stakeholders with potential interest in your data
Decisions / Actions that the stakeholder makes (possible uses of data)
Questions to which the stakeholder requires answers
When the decision will be made
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Elements of the Framework cont’d Indicators and/or data of interest (to respond to
stakeholder need) Source of data How will data be presented (what types of
analyses, graphs, formats)?
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Framework For Linking Data With Action
Decision/ Action
Program/Policy Question
Decision Maker(DM) Other Stakehold-ers (OS)
Indicator/data
Data Source
Timeline(Analysis) (Decision)
Commu-nication Channel
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Framework For Linking Data With Action
Decision/ Action
Program/Policy Question
Decision Maker(DM) Other Stakehold-ers (OS)
Indicator/data
Data Source
Timeline(Analysis) (Decision)
Commu-nication Chanel
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What Are Decisions?
Choices that lead to action All decisions are informed by questions All questions should be based data
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Decisions Allocation of resources across countries/
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
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Programmatic Questions What percentage of HIV+ pregnant women in
care are actually delivering in health facilities?
What percentage of clients starting ART are lost to follow up?
Are the number of family planning clients decreasing?
What percentage of pregnant patients who are HIV+ are actually receiving ART?
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Framework For Linking Data With Action
Decision/ Action
Program/Policy Question
Decision Maker (DM) Other Stakeholders (OS)
Indicator/data
Data Source
Timeline(Analysis)(Decision)
Commu-nication ChanelDMOS
Are we reaching testing targets in PMTCT?Do we have sufficient test kits?What is nurse:Client?
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Framework For Linking Data With Action
Decision/ Action
Program/Policy Question
Decision Maker (DM) Other Stakeholders (OS)
Indicator/data
Data Source
Timeline(Analysis)(Decision)
Commu-nication ChanelDMOS
Are we reaching testing targets in PMTCT?Do we have sufficient test kits?What is nurse:Client?
DM – Head of Regional Health Committee OS – Other providers, Division of Clinical Training
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Framework For Linking Data With Action
Decision/ Action
Program/Policy Question
Decision Maker (DM) Other Stakeholders (OS)
Indicator/data
Data Source
Timeline(Analysis)(Decision)
Commu-nication ChanelDMOS
Are we reaching testing targets in PMTCT?Do we have sufficient test kits?What is nurse:client?
DM – Head of Regional Health Committee OS – Other providers, Division of Clinical Training
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Framework For Linking Data With Action
Program/Policy Question
Decision Maker (DM) Other Stakeholders (OS)
Indicator/data
Data Source
Timeline(Analysis)(Decision)
Commu-nication ChanelDMOS
Are we reaching testing targets in PMTCT?Do we have sufficient test kits?What is nurse:client?
DM – Head of Regional Health Committee OS – Other providers, Division of Clinical Training
711 form indicators K41, B73, B 91
Service statistics Logistics manage-ment system
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Framework For Linking Data With Action
Decision/ Action
Program/Policy Question
Decision Maker (DM) Other Stakeholders (OS)
Indicator/data
Data Source
Timeline(Analysis)(Decision)
Commu-nication ChanelDM OS
Are we reaching testing targets in PMTCT?Do we have sufficient test kits?What is nurse:client?
DM – Head of Regional Health Committee OS – Other providers, Division of Clinical Training
711 form indicators K41, B73, B 91
Service statistics Logistics manage-ment system
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Framework For Linking Data With Action
Decision/ Action
Program/Policy Question
Decision Maker (DM) Other Stakeholders (OS)
Indicator/data
Data Source
Timeline(Analysis)(Decision)
Commu-nication ChanelDMOS
Are we reaching testing targets in PMTCT?Do we have sufficient test kits?What is nurse:client?
DM – Head of Regional Health Committee OS – Other providers, Division of Clinical Training
711 form indicators K41, B73, B 91
Service statistics Logistics manage-ment system
Dec. 2010,March 2011,June 2011, September 2011,December 2011
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Framework For Linking Data With Action
Decision/ Action
Program/Policy Question
Decision Maker (DM) Other Stakeholders (OS)
Indicator/data
Data Source
Timeline(Analysis)(Decision)
Commu-nication Chanel DMOS
Are we reaching testing targets in PMTCT?Do we have sufficient test kits?What is nurse:client?
DM – Head of Regional Health Committee OS – Other providers, Division of Clinical Training
711 form indicators K41, B73, B 91
Service statistics Logistics manage-ment system
Dec. 2010
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Framework For Linking Data With Action
Decision/ Action
Program/Policy Question
Decision Maker (DM) Other Stakeholders (OS)
Indicator/data
Data Source
Timeline(Analysis)(Decision)
Commu-nication Chanel DMOS
Are we reaching testing targets in PMTCT?Do we have sufficient test kits?What is nurse:client?
DM – Head of Regional Health Committee OS – Other providers, Division of Clinical Training
711 form indicators K41, B73, B 91
Service statistics Logistics manage-ment system
Dec. 2010 Short summary presented to facility manager at weekly clinic meeting
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Framework For Linking Data With Action
Decision/ Action
Program/Policy Question
Decision Maker (DM) Other Stakeholders (OS)
Indicator/data
Data Source
Timeline(Analysis)(Decision)
Commu-nication Chanel DMOS
Hire more PMTCT counsel-ors
Are we reaching testing targets in PMTCT?Do we have sufficient test kits?What is nurse:client?
DM – Head of Regional Health Committee OS – Other providers, Division of Clinical Training
711 form indicators K41, B73, B 91
Service statistics Logistics manage-ment system
Dec. 2010 Short summary presented to facility manager at weekly clinic meeting
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Framework for Linking Data with Action
Creates a time bound plan for information informed decision making
Encourages greater use of existing information
Monitors the use of information in decision making
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Activity:Framework for Linking Data with Action Select a note taker On flip chart paper create the Framework table Brainstorm 3 decisions or questions in columns 1 & 2 Complete the remaining columns Time: 1 hour
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Small Group Activity - Report Back
Remaining group will have 10 minutes to present their completed Framework
Group discussion - are there other data sources that might have been used in this decision? Were there other stakeholders that should have been considered? (10 minutes)
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MEASURE Evaluation is a MEASURE project funded by theU.S. Agency for International Development and implemented bythe Carolina Population Center at the University of North Carolinaat 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 notnecessarily reflect the views of USAID or the U.S. Government.MEASURE Evaluation is the USAID Global Health Bureau'sprimary vehicle for supporting improvements in monitoring andevaluation in population, health and nutrition worldwide.