A system for identifying, collecting, and analyzing data that are useful to leaders. It must be a data system that provides timely, reliable data for decision-making to improve evidence-based practices with fidelity.
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Decision Support Data Systems are sources of information used to help staff members make good decisions internal to an organization. Organizations make use of a variety of measures to:
• assess key aspects of the overall performance of the organization,
• provide data to support decision making, and
• assure continuing implementation of the evidence-based intervention and benefits to children and families over time. At a minimum, all modern organizations have a financial data collection and reporting system that regularly is monitored internally and externally (e.g. through employment of professional financial managers and clerks in the organization, careful attention from the governing board, and annual audits by external experts). Many organizations also have data collection and reporting systems for their treatment and management processes and outcomes. Decision support data systems are an important part of continuous quality improvement for interventions, implementation supports, and organization functioning (e.g. used as the “study” part of the never-ending plan-do-study-act cycle). Organizations establish and evolve their data systems so information is immediately accessible and useful to practitioners, trainers, coaches, and managers for short-term and long-term planning and improvement at clinical and organizational levels. If the feedback loops (staff performance evaluations and decision support data systems) indicate needed changes, then the organization adjusts aspects of the system to improve effectiveness and efficiency.
Driver Look Fors
Driver Look Fors
When we are integrating the Implementation Drivers into our work we have specific look fors for each Driver that will help inform us whether or not we are removing as many potential barriers and seizing all the opportunities to improve our program. Below are the specific look fors for this driver. It includes the following information:
- Look For Description: it will begin with a numbered look for the driver. It will include a description of a critical component that should always be seen in your organization.
- Data Source(s): The Data Sources are a nudge to help us understand how we can prove that this is actually occurring throughout our organization, as well as a location to capture change ideas and improvements.
- Fully In-Place: This represents the criteria that the Data Collaborative, and NIRN, considers that the look for is completely in-place. Or in other words, the organization is meeting our expectations for this component of the driver.
- Partially In-Place: Similarly to Fully In-Place, this represents the criteria. The difference is that not all of the look for are represented in the organization.
- Not Yet In-Place: This represents when the look for has not been reflected in your organization.
1. There is someone accountable for the decision-support data system
1. There is someone accountable for the decision-support data system
Fully In-Place
A specific person is responsible for coordinating the content, quality, and timeliness of the data system to support decisions regarding the use of explicit instruction in literacy and implementation supports available in the organization
-AND-
This person is able to execute the responsibilities related to his/her role in overseeing the decision support data system
Partially In-Place
A specific person is responsible for coordinating the content, quality, and timeliness of a data system to support decisions regarding the use of explicit instruction in literacy and implementation supports available in the organization
Not Yet In-Place
There is no person responsible for coordinating the content, quality, and timeliness of a data system to support decisions regarding the use of explicit instruction in literacy and implementation supports available in the organization
Data Source(s)
- Job description of person accountable for decision-support data system
2. Leadership Team (LT) has access to relevant data for making decisions for explicit instruction in literacy improvement
2. Leadership Team (LT) has access to relevant data for making decisions for explicit instruction in literacy improvement
Fully In-Place
LT have access to all of the following relevant data to analyze for explicit instruction in literacy improvement:
• Fidelity data
• Outcome data
• Programmatic/ financial data
Partially In-Place
LT have access to the following relevant data to analyze for explicit instruction in literacy improvement:
• Programmatic/ financial data
Not Yet In-Place
LT do not have access to relevant data
Data Source(s)
- Data Sources that inform and are found in the other Drivers.
3. Data are useful and usable
3. Data are useful and usable
Fully In-Place
Data and information are collected systematically and prepared for use so they are:
• Reliable (standardized protocols, trained data collectors)
• Valid (useful indicators of the concepts or practices being assessed)
• Reported in a timely manner (when/to whom the data are most useful)
• Built into regular practice routines
Partially In-Place
Data and information are collected systematically and prepared for use so they are:
• Reliable (standardized protocols, trained data collectors)
• Valid (useful indicators of the concepts or practices being assessed)
Not Yet In-Place
Data and information are not collected systematically and prepared for use
Data Source(s)
- Data Sources that inform and are found in the other Drivers.
4. Leadership Team (LT) has a process for using data for decision-making
4. Leadership Team (LT) has a process for using data for decision-making
Fully In-Place
LT have a process for using data for decision-making that includes all of the following:
• The data are analyzed and summarized at least quarterly
• Data summaries are communicated clearly in written reports to LT
• Action plans are developed to improve implementation supports and outcomes
• Data summaries and action plans are shared with key stakeholders (e.g., community, family members)
Partially In-Place
LT have a process for using data for decision-making that includes two of the following:
• The data are analyzed and summarized at least quarterly
• Data summaries are communicated clearly in written reports to LT
• Action plans are developed to improve implementation supports and outcomes
• Data summaries and action plans are shared with key stakeholders (e.g., community, family members)
Not Yet In-Place
LT do not have a process for using data for decision-making
Data Source(s)
- Documentation of processes used by agency to review data and make Decisions
- Sample data reports
- Sample action plans
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