Improving Diabetes Outcomes
Curated Expert Guidance, Tools, and Resources, Updated September 2019
Download a PDF of the full guide at the bottom of this page.
As of CDC's 2017 National Diabetes Statistics Report, 30.3 million people, or 9.4% of the total U.S. population, have diabetes. Of these 30.3 million, only 23.1 million are diagnosed—while the other estimated 7.2 million are undiagnosed. Additionally, more than 1 in 3 adults or 84.1 million people in the U.S. have prediabetes, including nearly half of people age 65 and older.
According to 2018 UDS data, an estimated 15.1% of Federally Qualified Health Center patients nationwide have diabetes, an increase over recent years. Of these approx. 2.4 million plus patients living with diabetes, approximately 33% have uncontrolled diabetes, with HbA1c equal to or above 9% or have had no test in the year. This has remained relatively stable since 2016.
This illustrates the need for targeted quality improvement and implementation of promising practices to address diabetes and needs of diabetic patients.
Quality Improvement Approach
HITEQ recommends a structured Quality Improvement approach. The HITEQ Guide for Improving Care Processes and Outcomes provides strategies and tools that health centers and their partners can use to enhance care processes and outcomes for diabetes control, preventive care, and many others targets for improvement.
The approach provides a framework and tools for documenting, analyzing, sharing and improving key workflows and information flows that drive performance on important care performance measures, and related improvement imperatives.
After determining current performance on diabetes control and setting a realistic goal, health centers are urged to take the following six steps:
Step 1: Check/ Reinforce Foundations— Successful health IT-enabled QI efforts must have a firm foundation of people, process, and technology supported by reliable, verifiable data.
Step 2: Understand Health IT-Enabled QI— Based on the CDS 5 Rights Framework.
Step 3: Select Targets/ Initiate QI Project— Select Targets/ Initiate QI Project— Use analytics to understand current diabetes-related outcomes and define a reasonable goal.
Step 4: Document/ Analyze Flows, Identify Improvements— Use Essential or Enhanced QI Worksheet to identify current information/clinical flows and opportunities for implementation of best practices.
Step 5: Implement/ Evaluate Changes— Use a structured QI process such as PDSAs and feedback loops
Step 6: Harvest/ Spread Results— Embed resulting processes and implementing keys from Ensuring Healthcare Improvements Stick from Institute for Healthcare Improvement.
Best Practices and Recent Research in Each Section from QI Worksheet
The CDS/QI worksheet that is at the center of the Guide for Improving Care Processes and Outcomes encourages detailed examination of current information and workflow in three areas: patient-specific activities, population-oriented activities, and foundational work.
Below, diabetes-related literature, tools, and best practice resources are provided in each of the three areas (patient-specific activities, population-oriented activities, and foundational work) for consideration when identifying potential enhancements.
Information and workflow that relate to individual patients along the care path, including before the patient comes into the office, during the care team huddle, at check-in or in the waiting room, during the provider encounter, closing out that encounter, and after the patient leaves the office.
AMA Steps Forward Managing Type 2 Diabetes: A Team-Based Approach
This module helps improve glycemic control and prevent complications in patients with type 2 diabetes:
- Outlines six steps for developing an efficient team-based approach to managing diabetes
- Provides answers to common questions about diabetes management for patients with type 2 diabetes
- Provides examples from other practices on how they are helping patients achieve their glycemic goals
Health Center Takeway: Consider using time spent in the waiting room to reconcile medications, using paper forms or tablets, and ensure that patients know (and understand!) their numbers. Consider data visualization concepts to improve understanding. Additionally, consider specific parts of patient care where your health center can make a meaningful difference, rather than attempting to overhaul many parts at the same time.
Mayo Clinic’s Diabetes Medication Choice Decision Aid helps engage patients in care
Lessons learned: Patients are more likely to adhere to their treatment plan if they helped design it. The Mayo Clinic has developed decision aids to support shared decision-making conversations between clinicians and patients with diabetes about treatment options related to diabetes medication and statin therapy to reduce cardiovascular risk.
Health Center Takeaways: Using visual, web-based tools (this and/or others) to engage patients in their own care can improve shared understanding and thereby improve adherence.
Center for Care Innovations’ results from testing multi-faceted online health coaching with diabetic patients
Lessons learned from online coaching test:
- The most successful participants used all [facets] of the platform.
- It’s important to find a balance between the desires of some groups to meet in person, and participation online. [Online tools] are most useful for individuals or groups that can’t meet regularly, and instead, need to connect to their health coaching remotely.
- Some employees were interested in being in a group with their coworkers, while others preferred to share health goals with strangers. (Be sure to take patient preference into account.)
- Signing up can be a big barrier for some patients, and thus can benefit from some handholding by health center.
Health Center Takeaway: Multi-faceted online coaching can have a positive impact for diabetic patients. It is most successful as a compliment to other programs (such as chronic disease self-management), and when patient preference is taken into account. Allow for staff time to assist patients in getting started with signing up and using an online platform to maximize participation.
New Study Questions Accuracy of mHealth Devices for Diabetes
Conclusions: An independent study of 18 FDA-approved mHealth devices that measure blood glucose in diabetic users has found that two-thirds aren't accurate, potentially putting the user at risk.
Health Center Takeaway: While patient-generated data is an emerging area that affords many opportunities, until results are known to be reliably accurate, be sure to use other historically reliable information for key decisions.
Mobile Phone Diabetes Project Led To Improved Glycemic Control And Net Savings For Chicago Plan Participants
Conclusions: The University of Chicago Medicine’s experience with a mobile health diabetes program suggests that connected health solutions hold promise for supporting chronic disease self-care, improving clinical outcomes, and reducing costs. This study offers early evidence that mHealth can enable healthcare organizations to effectively support patients beyond the traditional healthcare setting and achieve the triple aim of better health, better health care, and lower costs. Although a business case for the use of mHealth was identified, the diffusion and sustainability of mHealth depends on a supportive policy environment. Accelerated movement toward accountability for population health, increased interoperability with electronic health records, and clearer regulatory guidance will be important for unlocking mHealth’s potential to support behavior change and chronic care.
Health Center Takeaway: Mobile health programs (such as mobile apps that support traditional care) show promise, but health centers should first be sure that appropriate Health IT integration is possible so that mHealth does not exist in a vacuum and supports overall goals such as population health management. Policy structures such as value-based payment and privacy laws may support or inhibit implementation.
A clinic-based pilot intervention to enhance diabetes management for elderly Hispanic patients
Conclusions: The need for assistance with basic social services is high in the elderly Hispanic health center population. The rate of referral uptake (50%) is high for a relatively low-intensity intervention. Since the completion of the pilot, the program has trained 21 volunteers and helped over 220 patients in a primary care clinic. Using a volunteer model and creating connections to existing community resources is a cost-conscious way to deliver needed services to patients.
Health Center Takeaways: Building community partnerships, referral networks, and volunteer programs that support patient’s social service needs can be a cost-efficient way to support improved care and outcomes. Be sure to incorporate into your health IT systems to every extent possible, so the EHR can be a reliable source of holistic information.
Population oriented activities include those activities that monitor or support the care of the whole patient panel, not just the individual patient being seen. This may include population health management/ data integration technologies, registries and reports, and risk stratification among other activities.
NACHC’s Value Transformation Framework Action Guide Population Health Management: Risk Stratification
Diabetic patients living with diabetes often live with several other co-occurring conditions such as high blood pressure, obesity, depression and heart disease. As such, often controlling diabetes is not possible without addressing the full range of conditions. Identifying the portion of the patient population that are most complex to those that are at lesser risk facilitates appropriate care planning.
Health Center Takeaway: Using a structured approach, either through your population health analytic system or following the guidance in this or similar tools, identify risk groups and match each group with internal capabilities and external resources to meet the unique patient needs of each group. Doing so will allow you to connect highly complex diabetic patients with a more intensive array of services that are more likely to lead to controlled diabetes, and those who are at lower risk can receive appropriate supports.
Approaches to Panel Management in the Age of Value Based Care
Each health center has a system where patients are assigned to specific providers. The group of patients assigned to a provider becomes their panel; the various activities performed to maintain accurate panels and determine how often patients see their provider or care team are encompassed within the term “panel management”. Panel management is an essential function of a health center. When done well, it smooths the scheduling and operations of the health center; when done poorly it creates challenges with productivity, patient continuity, Quality Improvement reporting, and more.
Health Center Takeaway: Panel management furthers progress toward three key goals that are important for diabetes care: 1. Improving performance on quality measures, 2. Strengthening patients' relationships with their primary care physicians, and 3. Optimizing the use of non-physician staff in population care. Without strong panel management, it is difficult to improve on clinical quality measures, because it is not clear which diabetes patients are being measured. When panel information is inaccurate, then it is challenging to identify which care teams should be assigned to follow up with patients who are missing needed care like HbA1C, or foot and eye exams.
Development and Validation of a Tool to Identify Patients With Type 2 Diabetes (T2D) at High Risk of Hypoglycemia-Related Emergency Department or Hospital Use
Conclusions: The tool offered in this article provides a practical, EMR-based method to stratify patients with T2D by their 12-month risk of hypoglycemia-related ED or hospital utilization. This tool could be integrated with targeted preventive interventions to facilitate population management, which ultimately could reduce future hypoglycemia risk and improve patient safety. The 2 criteria indicating high risk are easily memorized (i.e., ≥3 previous episodes of hypoglycemia-related utilization, or 1 or 2 episodes if treated with insulin). The criteria for intermediate risk are more nuanced and therefore may be less likely to provoke clinical action in primary care without prompting. Healthcare systems could adopt a 2-level intervention, with intensive (more expensive) interventions reserved for high-risk patients and less intensive (lower cost) interventions for the intermediate-risk patients. Implementation of this tool could conceivably increase clinician awareness of patients’ hypoglycemia risk.
Health Center Takeaway: Consider using this or similar tools or criteria to create a registry or report to identify groups of patients within your patient population who may be at increased risk of hypoglycemia related hospital use, and consider supporting those patients with additional care management and wraparound services in order to prevent emergency department use or hospital admission.
Predictors of Diabetic Retinopathy (DR) in a Community Health Center Population
Conclusions: Among patients with diabetes, use of insulin therapy, longer duration of diabetes, presence of kidney disease, and higher A1C values increase the odds of DR. These preliminary data may suggest patients who are at higher risk of DR [in order to] further prioritize screening for DR with a newly implemented telemedicine program.
Health Center Takeaway: Consider using these criteria to create a registry or report to identify patients who may be ideal candidates for telemedicine, electronic patient engagement, or similar initiatives that extend patient care beyond the health center walls.
Activities foundational to patient-specific and population-oriented activities and/or planned enhancements such as organizational and leadership goals, mission, structure; policies, protocols and related documentation and training; configuration (mapping, integration, etc.) of health IT tools (EHRs/HIEs/PHM systems); internal communication approaches; and staff training plans, objectives, and approaches.
Six-Part Chronic Care Model. Used by 3,400 Health Center sites, this includes tips for success in each of the following areas:
American Diabetes Association: Diabetes Self-Management Education and Support for Adults with Type 2 Diabetes
Description: Algorithm of Care: Outlines four critical times to assess, provide, and adjust diabetes self-management education and support (Algorithm Action Steps) as well as when primary care provider or specialist should consider referral.
From Maine Quality Counts, Pre-Diabetes Identification and Intervention Algorithm
Description: This identification and intervention algorithm creates a structured protocol and agreed upon set of steps to follow to identify and intervene where the risk of pre-diabetes or diabetes is high.
Health Center Takeaways: These two algorithms, described in the prior two descriptions, can be implemented as a workflow or decision support in health IT systems, used as a part of provider training, or as a beginning point for discussions with health center providers about how patients at high risk of pre-diabetes or diabetes can be better identified and treated or referred.
From the Healthcare for the Homeless Clinicians’ Network, Adapting your Practice: Treatment and Recommendations for Patients who are Homeless with Homeless with Diabetes Mellitus
Conclusions: Diabetes occurs at approximately the same rate in the homeless and general populations; however, diagnosis and management of diabetes in individuals experiencing homelessness remains greatly challenging, according to the research. Homelessness creates additional difficulties when patients are trying to manage diabetes within the constraints of living in a shelter or on the streets. Healthy meals can be hard to find, refrigerating insulin may be impossible, and medications for other illnesses may have a negative impact on metabolism. Clinicians who provide care to these individuals face complex challenges to adapt their practices to address the rigors of diabetes treatment while accommodating for the realities of their patients’ lives.
Health Center Takeaway: Ensuring health center services are appropriate to the populations being served is essential to success. Best practices must be tailored to the reality of patients’ experiences such as language literacy, transportation availability, housing, communication preferences or options, etc. Explore health IT options to support this, community clinical linkages that allow health centers and community based organizations to electronically refer and coordinate care.
|Intended Audience||Clinical care and Quality ImprovementStaff|