Chronic illness does not get better in a single visit. A patient with diabetes, heart failure, or hypertension needs a whole system built around them, one that shows up the same useful way at the next appointment and the one after that, not just once when a motivated clinician happens to have extra time.
Edward Wagner and colleagues at the MacColl Institute for Healthcare Innovation built the Chronic Care Model to describe exactly that kind of system. Instead of leaving good chronic illness care to individual effort, the model breaks it into six concrete elements a practice can actually redesign, and ties them together around one simple idea: outcomes improve when an informed, activated patient meets a prepared, proactive practice team.
That framing is why the model keeps showing up in DNP practice improvement projects. A project about closing care gaps for a clinic's diabetic patients, reducing heart failure readmissions, or improving hypertension control is really a question about which of the six elements is missing or underused, and this guide walks through how to find that gap, build a project around closing it, and show your committee the model is doing real analytical work rather than sitting in a literature review paragraph.
The Chronic Care Model at a Glance
The Chronic Care Model organizes chronic illness care into six elements: health system organization, delivery system design, decision support, clinical information systems, self-management support, and community resources and policies.
In a DNP practice improvement project, assess which elements are weak or missing for your target population, redesign one or two of them, and measure both a process indicator (did the element actually change) and a clinical outcome (did the patient's condition improve).
Where the Model Came From
The Chronic Care Model was developed in the late 1990s by Edward Wagner and colleagues at the MacColl Institute for Healthcare Innovation, part of what is now Kaiser Permanente Washington Health Research Institute. It grew out of a direct observation: most chronic illness care failures were not failures of knowledge or motivation, but failures of system design. Clinicians knew what good diabetes or heart failure care looked like, but their practices were not organized to deliver it reliably, visit after visit, patient after patient.
The model was popularized nationally through the Institute for Healthcare Improvement's Breakthrough Series collaboratives in the late 1990s and early 2000s, where hundreds of primary care practices used it to redesign how they cared for patients with diabetes, asthma, and other chronic conditions. That collaborative testing is part of why the model reads less like an abstract theory and more like an operations checklist: every element was refined against what practices actually found feasible to change.
A Canadian team led by Victoria Barr later extended the model into the Expanded Chronic Care Model, adding a population and public health layer, community participation, policy, and the built and social environment, on top of Wagner's original practice-level design. Most DNP projects scoped to a single clinic or system use Wagner's original six elements; projects aimed at a whole community more often reach for the expanded version, discussed later in this guide.
The Six Elements of the Chronic Care Model
Wagner organized the model around six elements, split across the health system itself and the community it operates in, each naming a specific, assessable thing a practice can redesign rather than a vague aspiration.
| Element | What it means | Example change |
|---|---|---|
| Health system organization | Leadership visibly prioritizes chronic illness care as a goal, with the time, staffing, and incentives to support it | A clinic adds chronic care quality metrics to its leadership dashboard and protects staff time for care coordination tasks |
| Delivery system design | Care is organized around planned, proactive visits and a team working to the top of each role, not purely reactive, physician-only encounters | A nurse-led pre-visit planning process that flags overdue labs and screenings before the patient arrives |
| Decision support | Evidence-based guidelines are embedded into daily practice, reachable at the point of care, not filed away in a binder | An electronic health record order set built from current ADA or AHA guidelines that prompts the right labs and referrals |
| Clinical information systems | A registry or data system that tracks a whole population, not just the patient in front of you, and flags who is overdue or off target | A diabetes registry that generates a weekly list of patients overdue for an HbA1c check or eye exam |
| Self-management support | Patients are given the skills and confidence to manage their own condition day to day, not just instructions to follow | A structured, teach-back based education session plus a written personal action plan the patient keeps |
| Community resources and policies | The practice actively links patients to resources outside its own walls rather than assuming the clinic alone is enough | A standing referral pathway to a community diabetes education program or a food-access resource |
Most strong capstone projects do not attempt to redesign all six elements at once. They identify which one or two elements are weakest for a specific population, using chart review or staff interviews, and build a focused intervention around closing that specific gap.
The Productive Interaction at the Center of the Model
All six elements exist to make one thing happen reliably: a productive interaction between an informed, activated patient and a prepared, proactive practice team. Wagner's own diagram places this interaction at the center of the model for a reason, it is the mechanism through which better system design actually turns into better outcomes.
An informed, activated patient understands their condition, their goals, and their role in managing it day to day. A prepared, proactive practice team has the patient's current data in front of them, knows which guideline-based actions are due, and has already anticipated the visit rather than reacting to it in real time. Self-management support builds the first half of that pairing; delivery system design, decision support, and clinical information systems build the second half.
Naming this interaction explicitly in a capstone's framework section is one of the clearest signs a committee looks for that a student understands the model is a system for producing better visits, not a list of six unrelated programs happening independently.
Why This Model Fits a DNP Practice Improvement Project
A large share of DNP practice improvement projects are, underneath their specific clinical topic, really about a practice that is not consistently delivering a known standard of chronic illness care. A project about closing diabetes care gaps, reducing avoidable heart failure readmissions, or improving hypertension control is a question about which system element is missing, and the Chronic Care Model gives a structured way to find and name that gap.
Because the model was built and tested inside real primary care practices rather than derived purely from theory, its six elements map cleanly onto the kind of concrete, implementable practice change a DNP project is expected to produce, a new registry report, a revised pre-visit workflow, a structured self-management curriculum, rather than an abstract policy recommendation.
The model also gives a committee a clear way to judge scope. A project naming a specific element and a specific population is easy to evaluate; a project that vaguely claims to "improve chronic disease management" without saying which element changed is harder to defend and harder to measure. Our guide to scoping a DNP practice improvement project covers how to translate a broad quality concern like this into a tightly scoped, measurable project in general, before narrowing in on a specific framework like this one.
Applying the Model Step by Step
- Define the population and current state. Pick a specific chronic condition and patient population, then pull baseline data showing where current care falls short of the guideline standard.
- Map the six elements against your practice. For each element, assess whether it already exists, exists but is underused, or is missing entirely for this population.
- Choose the one or two elements to redesign. Pick the gap most clearly linked to your outcome data and most feasible to change within your project timeline and setting.
- Design the specific intervention. Build the concrete artifact, a registry report, an order set, an education curriculum, a referral pathway, that operationalizes the element you chose.
- Implement with a planned measurement window. Roll out the change with staff training, then track both a process measure and a clinical outcome over a defined period.
- Reassess and plan for sustainability. Compare post-implementation data to baseline, and describe how the change will continue to run after the project period ends.
Step two is where students most often rush. Mapping all six elements, even briefly, before choosing where to intervene is what shows a committee the choice was data-driven rather than picked because it sounded interesting. A one-paragraph assessment of each element, with a short note on current state, is usually enough to make that case.
Mapping the Model to Your Project Chapters
| Project section | Model component | What to write |
|---|---|---|
| Background | Productive interaction concept | Why system design, not individual effort alone, explains the current care gap |
| Problem statement | Six-element assessment | Which element is weakest for your population, supported by chart review or interview data |
| Framework section | The targeted element(s) | Why this element, specifically, and how closing it should move your outcome measure |
| Methods | The redesigned workflow, tool, or curriculum | The concrete artifact you built and how it was implemented and trained on |
| Evaluation plan | Process and outcome measures | How you will show the element actually changed, and whether the clinical outcome improved |
Filling this table before drafting the narrative chapters keeps the model doing structural work throughout the project, instead of appearing only as background theory near the introduction.
Worked Example: A Primary Care Diabetes Coordination Program
Consider a DNP project at a primary care clinic where a registry pull shows that forty percent of patients with type 2 diabetes have not had an HbA1c check in the past six months, and chart review suggests overdue labs are rarely flagged until the patient is already in the exam room.
Population: the clinic's adult patients with a type 2 diabetes diagnosis, drawn from the practice's own registry.
Element assessment: clinical information systems (no proactive overdue-lab report), delivery system design (no pre-visit planning step), and self-management support (education happens inconsistently, usually only when a patient asks) are all weak. Decision support and community resources are already reasonably strong.
Targeted elements: clinical information systems and delivery system design, chosen because closing them is feasible within the project timeline and because they directly explain the overdue-lab finding.
Intervention: a weekly registry report flagging patients overdue for labs or screenings, reviewed by a medical assistant two days before each patient's visit, paired with a short structured pre-visit huddle so the care team arrives prepared rather than discovering the gap mid-visit.
Design: a pre-post evaluation comparing the percentage of patients current on HbA1c testing, the percentage of visits using the pre-visit report, and HbA1c values at goal, before and after a twelve-week implementation period.
A smaller-scale version of this same project, scoped to a single provider's panel rather than the whole clinic, would use the identical model with a smaller registry pull in place of the full practice population.
Notice the example never describes the goal as simply "improve diabetes care." It names the specific elements that are weak, chooses which ones to target and why, and designs a concrete artifact around them, which is what lets a committee see the model actually driving the intervention. Our diabetes management nursing capstone guide covers a wider set of diabetes-focused angles, PICOT examples, and outcome measures that pair naturally with this framework.
Measuring Outcomes
Most strong Chronic Care Model projects measure outcomes at two levels, so a committee can see that the targeted element actually changed, not just that the clinical number moved.
| Measure type | What it captures | Example |
|---|---|---|
| Process measure | Whether the targeted element was actually implemented and used | Percentage of visits where the pre-visit report was reviewed before the patient arrived |
| Clinical outcome measure | The guideline-based indicator tied to the condition itself | Percentage of patients with HbA1c at or below goal, blood pressure at goal, or a reduction in heart failure readmissions |
| Patient-reported measure | Whether patients feel more informed and activated, the human side of the productive interaction | A brief self-efficacy or patient activation score collected before and after the intervention |
| Staff process feedback | Whether the practice team found the new workflow feasible to sustain | A short staff survey on time burden and perceived usefulness of the new registry report or huddle |
Collecting a baseline on every measure before implementation begins is essential. A clinical outcome collected only after the intervention cannot show whether the specific element you redesigned is actually what moved it.
The Chronic Care Model Alongside Other Frameworks
| Framework | What it does | Where it fits |
|---|---|---|
| Chronic Care Model | Describes six concrete system elements that together produce better chronic illness care | Projects redesigning how a practice delivers ongoing chronic illness care |
| Expanded Chronic Care Model | Adds a population and public health layer, community participation, policy, and environment, on top of Wagner's original model | Projects aimed at a whole community rather than one clinic's patient panel |
| Lewin's or Kotter's change models | Describe staged processes for moving a staff group through planned organizational change | Projects where adoption of the new workflow, not the design of the workflow itself, is the harder problem |
The Chronic Care Model is not a change theory, and it does not by itself describe how to move a reluctant staff team through adopting a new workflow. Many DNP projects pair it with a staged change model for exactly that reason. Our guide to nursing theories and change frameworks for capstone projects compares the full family of frameworks this site covers, including where a system-design model like this one fits alongside the staged change models most practice improvement projects also need.
Project Topics That Fit This Model
Because the model names six concrete, redesignable elements, it pairs naturally with practice-level quality problems that have a clear guideline standard already behind them.
- A diabetes care coordination program built around a registry-driven overdue-labs workflow, as in the worked example above.
- A heart failure transitional care program closing the decision-support and self-management gaps most linked to avoidable readmissions.
- A hypertension control initiative pairing a clinical decision-support order set with structured self-management education.
- A depression or anxiety screening and follow-up program in primary care, built around closing a clinical information systems gap.
- A chronic kidney disease monitoring program using a registry to flag patients overdue for guideline-based labs and referrals.
- A multi-condition care coordination role, such as an embedded care manager, designed around strengthening several elements at once for a clinic's highest-risk patients.
Our DNP practice improvement project guide covers a wider set of scoping approaches and PICOT examples that pair naturally with a six-element framework like this one.
Common Mistakes
- Trying to redesign all six elements at once instead of focusing on the one or two most clearly linked to the outcome data.
- Describing a general quality concern without naming which specific element is weak and why.
- Treating the model as a change theory and expecting it to explain staff adoption on its own, without a change framework alongside it.
- Designing an education session and calling it self-management support, without a structured curriculum or a written action plan behind it.
- Collecting outcome data only after the intervention, with no baseline assessment of the targeted element or the clinical measure.
- Citing the model generally without naming the productive interaction it is actually built around.
- Confusing the original model, scoped to a single practice, with the Expanded Chronic Care Model, scoped to a community, and picking the wrong one for the project's actual scale.
How NurseCapstone Helps You Apply the Chronic Care Model
Send your target condition and population, along with whatever data you already have on current care gaps. A writer at your level helps you map the six elements against your own setting, choose which one to target, and build the intervention and measurement plan your committee expects.
Use it as a model for your own chapters. Work is written from scratch and plagiarism-checked, your identity is never shared with the writer, and revisions within the scope of your original request are free.
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Frequently Asked Questions
A framework developed by Edward Wagner and the MacColl Institute for Healthcare Innovation that organizes practice-level changes a clinic or system can make to improve care for people with chronic conditions. It groups those changes into six elements and argues that better outcomes come from a productive interaction between an informed, activated patient and a prepared, proactive practice team.
Health system organization, delivery system design, decision support, clinical information systems, self-management support, and community resources and policies. Each element names a concrete, assessable practice change rather than a general goal, which is what makes the model usable as a project framework.
It is the core mechanism the model is built around: a visit or encounter where an informed, activated patient who understands their condition and goals meets a prepared, proactive practice team that has the right information and tools ready. The six elements exist to make that kind of interaction happen reliably rather than by chance.
No. It describes what a well-functioning chronic illness care system looks like across six elements, not a staged process for leading a team through an organizational change. Many DNP projects pair it with a staged change model to plan how the new workflow actually gets adopted.
Yes. It was built to be condition-agnostic and has been applied to heart failure, hypertension, asthma, depression, chronic kidney disease, and multiple co-occurring chronic conditions. Diabetes care coordination is simply the setting with the deepest published evidence base, which makes it a strong worked example.
The original model centers on a single practice or clinic. The Expanded Chronic Care Model, developed afterward in Canada, adds a population and public health layer on top of it, including community participation, policy and the physical and social environment, making it a better fit for a project aimed at a whole community rather than one clinic's patient panel.
BSN and MSN projects can use it, most often by focusing on one or two elements such as self-management support or decision support within a single unit. DNP projects more often work across several elements at once and are expected to show system-level data and a sustainability plan for the practice change.
Most projects pair a clinical indicator tied to the target condition, such as HbA1c or blood pressure at goal, with a process measure showing the specific element changed, such as the percentage of visits using a registry-generated care gap list, and sometimes a patient activation or self-efficacy score to show the human side of the change.