Part 2: Characteristics for Success: Diabetes HbA1c
Part 3: Implementation of Clinical Quality Measure: Diabetes HbA1c
Part 4: Improvement Strategies: Diabetes HbA1c
Part 5: Holding the Gains and Spreading Improvement
Part 6: Supporting Information
Part 2: Characteristics for Success: Diabetes HbA1c
Organizations that were successful in improving Diabetes HbA1c for patients approached the issue in a systematic way, with careful attention to the factors that have an impact on patients with poor glycemic control. Although clinics may differ in specific workflow, documentation, and staffing models, organizations that experienced successful improvement efforts shared these three fundamental characteristics:
1. Clear Direction
Successful organizations found that it is important to define clearly what they are trying to accomplish. Most often in improvement work, leadership defines an aim that guides an organization's efforts. An aim is a written, measurable, and time-sensitive statement of the accomplishments a team expects to achieve from its improvement efforts. The aim statement contains a general description of the work, the system of focus, and numerical goals. The aim statement includes a very specific indication of what success looks like and may include guidance that further frames the work, including methodologies to be used and budgetary and staffing limitations. Examples of tools used by QI teams to create their aim statements include an Aim Worksheet and Aim Statement Checklist [Word Document].
(7)
Additional information, including tools and resources to assist an organization in developing its aim statement, can be found in the Readiness Assessment and Developing Project Aims module. A completed aim statement for the measure, Diabetes HbA1c, is shown in Example 2.1: Assessing the Aim Statement for Mountain Health Care Organization (MHCO) Using the Aim Statement Checklist.
The following example provides an aim statement created by the fictional Mountain Health Care Organization's QI team and the checklist the team used to assess its completed aim statement. Using the Aim Statement Checklist to assess the QI team's aim statement provides reassurance that the team included the necessary components of the aim statement for its improvement project.
Example 2.1: Assessing the Aim Statement for Mountain Health Care Organization (MHCO) Using the Aim Statement Checklist
Aim Statement: Over the next 12 months, we will redesign the care systems of Mountain Health Care Organization to decrease the number of poorly-controlled diabetics in Dr. Billing's practice, so that less than 20 percent of these patients have a HbA1c greater than 9 percent.
Guidance:
*Here is an example of how Mountain Health Care Organization evaluated its aim statement using the Aim Statement Checklist (7)
Aim Statement Checklist for Example 2.1: (7)
What is expected to happen?
MHCO: Fewer patients will have HbA1c of greater than 9 percent indicating poor control
Time period to achieve the aim?
MHCO: 12 months
Which system will be improved?
MHCO: Care systems that improve glycemic control
What is the target population?
MHCO: diabetic patients in Dr. Billing's practice
Specific numerical goals?
MHCO: Less than 20 percent have a HbA1c of greater than 9 percent (lower is better)
Guidance, such as, strategies for the effort and limitations?
MHCO: As noted, no new staff plus focus on patient outreach
Evaluating what others achieved provides appropriate context for choosing the numerical portion of an organization's aim. (8) While the goal of zero percent of patients with a HbA1c greater than 9 percent is optimal, an organization can set an appropriate and realistic goal based on the review of comparable data after consideration of the payer mix of the patient population served. (9) For some measures, it may be possible to find examples of benchmark data, which demonstrates the performance of a best practice. It is important to consider an organization's particular patient population when making comparisons to others' achievements. An organization may consider socioeconomic status and/or race/ethnicity of the population served, organizational size, payer mix, and other criteria in an effort to achieve an accurate comparison. Reviewing what others accomplished may help an organization to understand what is feasible to achieve. The numerical part of the aim should be obtainable, yet high enough to challenge the team to substantially and meaningfully improve. Additional guidance about setting aims can be found in the Readiness Assessment and Developing Project Aims module.
When choosing an aim or making performance comparisons for the measure, Diabetes HbA1c, the NCQA HEDIS Data Set is one source to consider. Current data is accessible from the Trending and Benchmarks
section. Of note is the considerable variation among the regions, which correspond to the Health and Human Services Regions of the United States. Sources of data for additional comparisons vary regionally but may include payers, State programs, aggregate HRSA program data, and State or regional quality improvement programs.
2. Functional Infrastructure for Quality Improvement
Successful organizations found that improvement work requires a systematic approach to measuring performance, testing small changes, and tracking the impact of those changes over time. This section describes four essential components of an infrastructure to support quality improvement efforts, including:
has practical ideas to assist an organization on how to involve patients in its QI process. (9)
can help a QI team to structure meetings that focus its scheduled time on improvement efforts. Another useful tool includes one that displays data in a way that makes sense to the team members. Examples of templates and tools to track progress can be found in the module Managing Data for Performance Improvement These types of tools are commonly used by improvement teams to remain focused on the work of improvement. The most important resource needs are uninterrupted time to focus on quality improvement and autonomy to test changes responsibly. Additional team resources and tools can be found in the Improvement Teams module.3. Commitment from Leadership
For quality improvement efforts to be effective and sustained, leaders must show commitment to them. Typically, leaders may make a commitment to specific target areas for improvement once they consider the overall needs of the organization, requirements of funders, and how the proposed efforts align with the organization's mission and strategic plan. Leaders that consider quality improvement efforts as an "add-on" may be unable to maintain QI as a priority as other realities compete for the organization's attention and resources. Successful leaders in quality improvement integrate and align QI activities as part of their daily business operations.
A quality improvement team needs to have leadership commitment expressed in a tangible way. Often, it is an explicit dedication of resources, which may include team meeting time, data support, and specific planned opportunities that communicate actionable improvement suggestions to an organization's leadership. The authority of the improvement team and any constraining parameters should be clear. Detailed information highlighting the important role of leadership in a QI project can be found in the Quality Improvement module.
Here is a case study that is followed throughout the module and depicts the effort of one QI team as it focuses on improving the number of diabetic patients accessing care in its organization. The case study may be read in its entirety by clicking here.
Case Study: The Problem
You will need Adobe Acrobat® Reader™ to view PDF files located on this site.
If you do not already have Adobe Acrobat® Reader™,
you can download here for free. 