Quality Improvement Projects in Nursing Explained: PDSA, Measures and Run Charts

GuideUpdated November 5, 20267 min read

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Quality improvement, often shortened to QI, is how healthcare teams make care better step by step. It appears in nursing education as a project, in hospitals as a daily activity and in DNP programs as a core skill.

This guide explains the logic of QI, its main methods and how to plan and write up a project. Terms and expectations vary by program, so follow your handbook.

What QI is, and what it is not

QI starts from a practical question: how can we make this process or outcome better here? It uses small, rapid tests of change with data, and it focuses on a defined setting.

Compare the three approaches students meet most often:

Quality improvement Evidence-based practice Research
Main aim Improve a local process or outcome Apply the best available evidence Create generalizable knowledge
Typical method Cycles of testing with local data Review evidence, then implement Formal study design with protocols
Typical oversight Organizational review, sometimes a determination from an ethics board Same Formal ethics review

In practice, projects blend them. You might use evidence to choose an intervention, then use QI methods to test and measure it. Be clear in your paper about what you are doing, since review requirements depend on whether it is QI or research. Evidence-based practice in nursing explained covers the evidence side.

The Model for Improvement

A widely used framework asks three questions, then uses cycles of testing.

  1. What are we trying to accomplish? Set a specific, time-bound aim, for example, to reduce catheter days on one unit by a set amount within six months.
  2. How will we know that a change is an improvement? Choose measures.
  3. What changes can we make that will result in improvement? Identify ideas from evidence, staff and patients.

Then you test changes with PDSA cycles.

PDSA cycles

PDSA stands for Plan, Do, Study, Act.

  • Plan: decide what you will test, who will do it, when and what you predict will happen. Plan the data you will collect.
  • Do: try the change on a small scale, such as one nurse, one shift or a few patients. Record what happens, including problems.
  • Study: compare results with your predictions. What did you learn? What surprised you?
  • Act: decide whether to adopt the change, adapt it and test again or abandon it.

Small tests lower risk and let you learn quickly. A first cycle might involve one nurse trying a new checklist with two patients. A later cycle might extend it to a whole shift. Over several cycles you build confidence before you spread the change to a unit.

Choosing measures

Good projects use a small set of measures that together tell the story.

Type Question it answers Example
Outcome Is the result improving? Falls per 1,000 patient days
Process Are we doing what we planned? Percentage of patients with hourly rounding documented
Balancing Are we causing problems elsewhere? Staff overtime, call light response time

Define each measure clearly: numerator, denominator, source and timing. Collect a baseline before you change anything, then measure regularly through the project. Use data you can collect without heavy burden, because measures that are hard to gather tend to be abandoned.

Run charts

A run chart plots a measure over time, usually with a line for the median of the baseline. It helps you see whether changes are meaningful.

To read one:

  1. Look for shifts: several consecutive points on one side of the median.
  2. Look for trends: several points steadily rising or falling.
  3. Remember that ordinary ups and downs are normal variation.

Mark when you made each change, so you can link patterns to actions. Run charts are simple to build in a spreadsheet and are widely accepted in student projects. A walkthrough such as this guide to run charts and statistical process control explains the rules in more detail and shows how to annotate a chart.

Tools for understanding the problem

Before you test changes, understand the process.

  • Process map: draw the steps from start to finish to find delays and gaps.
  • Fishbone diagram: list possible causes under headings such as people, process, equipment and environment.
  • Five whys: ask why repeatedly until you reach a root cause.
  • Pareto chart: rank causes by frequency to focus on the biggest ones.
  • Stakeholder analysis: identify who is affected and how to engage them.

Talk to frontline staff and patients. They often know where the process breaks down.

Planning a project

A student QI project usually includes:

  1. A problem statement with baseline data.
  2. A clear, measurable aim.
  3. A team and a sponsor.
  4. A process map and a list of possible causes.
  5. Measures with definitions and a data plan.
  6. Planned changes and a PDSA schedule.
  7. Ethics and organizational review.
  8. A plan for sustaining gains.

Nursing capstone project guide shows how these elements fit into a full paper.

Reporting a project

Many journals and programs use the SQUIRE guidelines for QI reports. They suggest including the problem, context, intervention, measures, analysis, results, interpretation, limitations and conclusions. Even if your program does not require SQUIRE, the structure is a helpful checklist.

When you present results, show your run chart, explain what you changed and when, and discuss what you learned, including what did not work. Honest reporting is a strength.

A worked example: reducing catheter days

Imagine a medical unit where urinary catheters often stay in longer than needed. The team sets an aim: reduce average catheter days per patient on the unit over six months. They map the process and find that no one reviews whether a catheter is still needed after the first day. A fishbone diagram shows other causes, including unclear ownership and no prompt in the record.

Their first PDSA cycle tests a simple change: on one shift, one nurse asks the provider about necessity during morning rounds for two patients. They predict that at least one catheter will be removed. In the Study step, they find that one was removed and that the nurse needed a quick script. They adapt, adding a short prompt to the rounding sheet, and test again across a full shift. Later cycles extend the change to the whole unit.

Throughout, they track an outcome measure (catheter days), a process measure (percentage of patients with a daily necessity review documented) and a balancing measure (rate of reinsertion). The run chart shows a shift below the baseline median after the third cycle. The team then writes a standard process, trains new staff and assigns an owner so the change lasts.

Engaging the team

Improvement depends on people. Involve frontline nurses, physicians, pharmacists and, where possible, patients from the start. Share the baseline data and invite ideas, because staff often have solutions that outsiders miss. Choose a champion on each shift, give quick feedback on results and thank people publicly. Resistance often signals a real problem with the change, such as extra work without extra time, so listen and adjust.

Sustaining the gains

Many projects improve during the effort and then slip. To avoid that, build the change into routine systems: update policies, add prompts to the electronic record, include the practice in orientation and assign someone to monitor the measure. Plan periodic reviews, for example monthly for the first quarter and then every quarter, and agree what level of performance would trigger action.

Common mistakes

  • No baseline. You cannot show improvement.
  • Too many changes at once. You will not know which helped.
  • Too many measures. Choose a few that matter.
  • Skipping small tests. Big launches fail more often.
  • Ignoring staff. Buy-in decides success.
  • Declaring victory too soon. Check that gains last.

Final thoughts

QI gives nurses a practical way to improve care using small, tested changes and honest data. Learn the Model for Improvement, run small PDSA cycles, choose a few clear measures, chart them over time and report what you learn. Those habits are useful in every role in nursing.

Frequently asked questions

What is a quality improvement project in nursing?

A structured effort to improve a process or outcome of care in a specific setting, using small tested changes and data to see whether they work.

What is a PDSA cycle?

Plan, Do, Study, Act: a way to test a change on a small scale. You plan the change and predictions, try it, study what happened and act by adopting, adapting or abandoning the change.

How is quality improvement different from research?

Research aims to produce generalizable knowledge. Quality improvement aims to improve care in a specific setting and uses local data. The line can blur, so projects are often reviewed to decide which they are.

What are process, outcome and balancing measures?

Process measures show whether you did what you planned. Outcome measures show whether the result improved. Balancing measures check that the change did not cause problems elsewhere.

What is a run chart?

A simple line graph of a measure over time, with a median line, used to see whether changes are real patterns or normal variation.