What a quality improvement proposal is
Quality improvement (QI) is a structured approach to making care safer, more effective, more timely, more patient-centered, more efficient and more equitable. A QI proposal is a plan for a specific change in a specific setting, with a clear aim and a way to measure it. Unlike research, which aims to produce generalizable knowledge, QI aims to improve local practice, and it tests changes quickly and in small steps.
Check your brief for the format your program expects. Many programs use the Model for Improvement or a template with sections for the problem, aim, analysis, intervention, measures, implementation plan, budget and evaluation.
Define the problem with data
A proposal starts with evidence that a problem exists. Use local data where you can, and national benchmarks or published research to show that the problem matters. State who is affected, how often and with what consequences.
Problem statement (hypothetical)
On a 30-bed medical unit, 12 patient falls were recorded in the last quarter, over 3,000 patient days. That is a rate of 12 / 3,000 x 1,000 = 4.0 falls per 1,000 patient days. Three falls resulted in injury. The unit's target, based on a hospital benchmark, is 3.0 or lower. Falls extend length of stay, increase costs and harm patients.
Always use a rate (per 1,000 patient days) rather than a raw count, so you can compare across periods when the number of patients changes.
Write a SMART aim
The aim statement says what you will improve, by how much, for whom and by when. It should be specific and measurable.
| Weak aim | SMART aim |
|---|---|
| Reduce falls on the unit | Reduce the fall rate on the medical unit from 4.0 to 3.0 per 1,000 patient days (a 25 percent reduction) within six months |
| Improve discharge education | Increase the percentage of patients who can state their medication plan using teach-back from 60 to 90 percent by December 31 |
Find root causes before choosing a solution
A common weakness is jumping to a solution. Use tools to understand why the problem happens.
- Process map: a flowchart of how the process works now, showing delays and handoffs.
- Fishbone (cause and effect) diagram: group causes into categories such as people, process, equipment, environment and patients.
- 5 Whys: ask why repeatedly until you reach a cause you can act on.
- Pareto chart: shows which few causes account for most of the problem.
5 Whys applied to falls (hypothetical)
- Why do patients fall? They get up alone to use the bathroom.
- Why do they get up alone? They do not call for help.
- Why do they not call? They do not want to bother staff, or they forget.
- Why is that not addressed? Bathroom assistance is not offered on a schedule.
- Why? There is no routine rounding protocol for toileting needs.
The root cause is a gap in the rounding process, so the intervention should be structured rounding, not only more fall signs.
Choose interventions and plan PDSA cycles
Choose evidence-based interventions, such as hourly purposeful rounding, bed alarms for high-risk patients, a risk assessment on admission and non-slip footwear. Cite research to support each.
The Plan-Do-Study-Act (PDSA) cycle is the standard testing method. You test the change on a small scale, learn from it, then adjust and expand.
| Cycle | Plan | Do | Study | Act |
|---|---|---|---|---|
| 1 | Test hourly rounding with one nurse for 3 days on 4 patients | Run the test and log each round | Did it take too long? Were patients more comfortable? | Adjust the checklist and expand |
| 2 | Test with one team of 5 nurses for 2 weeks | Run and collect data | Compare falls and call-light use with baseline | Add a bathroom offer prompt |
| 3 | Roll out unit-wide with training | Implement and audit weekly | Review the fall rate at 6 weeks | Adopt, adapt or abandon |
Starting small reduces risk, builds support and produces early data. Say so in your proposal.
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Get an instant quoteMeasures: outcome, process and balancing
Use three kinds of measures so you know whether the change worked, whether it was done and whether it caused harm elsewhere.
| Type | Question | Example |
|---|---|---|
| Outcome | Did the result improve? | Falls per 1,000 patient days; falls with injury |
| Process | Was the change carried out? | Percentage of scheduled hourly rounds completed (target 90 percent) |
| Balancing | Did the change cause problems elsewhere? | Nurse overtime hours, call-light response time, patient sleep disruption |
Track results over time on a run chart rather than comparing two points, because a single before and after comparison can be due to chance. Look for sustained shifts, such as six or more consecutive points on one side of the median.
Results (hypothetical)
After six months the unit recorded 8 falls over 2,900 patient days. The rate is 8 / 2,900 x 1,000 = 2.76 per 1,000 patient days, below the 3.0 target and a reduction of about 31 percent from 4.0. Rounding completion averaged 92 percent. Overtime hours were unchanged.
Implementation, budget and sustainability
Say who does what, when and with what resources. A simple plan covers stakeholders, training, communication, timeline, costs and a plan to keep the improvement going.
| Item | Detail (hypothetical) |
|---|---|
| Stakeholders | Unit manager (sponsor), nurse champions, physical therapy, patient safety officer, patients and families |
| Training | Two 30-minute sessions per shift team |
| Costs | Staff training time $6,000; 6 bed alarms $4,800; printing and audits $1,200; total $12,000 |
| Benefit | If four falls are avoided, and each costs about $10,000 in added care (replace with a sourced figure), savings are about $40,000, a return of more than three times the cost |
| Sustainability | Add rounding to the shift handoff, audit monthly, report to the unit council, assign an owner |
Anticipate barriers such as time pressure and resistance, and plan responses. Cover ethics too: QI projects may need review by an institutional board to confirm they are QI and not research, and patient data must be protected.
Reading a run chart
A run chart plots a measure over time with the median as a line. Simple rules help you avoid seeing patterns that are only chance.
| Signal | Rule of thumb | Meaning |
|---|---|---|
| Shift | Six or more consecutive points above or below the median | A real change in the process |
| Trend | Five or more points steadily rising or falling | A gradual change |
| Astronomical point | One point far from all others | Check the data; may be a special cause |
For the falls example, weekly rates of 4.2, 3.9, 4.4, 3.1, 2.8, 2.9, 2.6 and 2.7 per 1,000 patient days fall after rounding started, and the last four points are all below the earlier median of 4.2, 3.9 and 4.4. That is not yet a shift by the six-point rule, so keep collecting data before claiming success. Annotate the chart with the date of each change so readers see cause and timing.
Communicating with SBAR
When you present the project to a manager, use SBAR: Situation, Background, Assessment, Recommendation. Example: Situation: falls on 4 West rose to 4.0 per 1,000 patient days. Background: three injuries last quarter; no structured rounding. Assessment: rounding is inconsistent on nights. Recommendation: pilot hourly purposeful rounding for six weeks and report weekly. It takes under a minute and gets a decision.
Common mistakes
- Starting with the solution Show the problem and root causes first.
- Vague aim Include a number, a baseline, a target and a date.
- Only outcome measures Add process and balancing measures.
- One big change Test small with PDSA cycles before scaling.
- No data over time Use run charts or similar to show trends.
- Ignoring sustainability Explain how the improvement will last after the project ends.
For writing up data, see our guide to data analysis reports. If you want help with a proposal, you can order healthcare administration assignment help.