A good worked example teaches more than pages of abstract advice. You can see how the problem, PICOT, framework, intervention and evaluation fit together.
The ten worked examples below cover six common MSN tracks. Each is scoped for a one or two semester project. Use them to understand the level of detail expected, then build your own project from your own setting and evidence.
What Strong MSN Examples Share
A strong MSN capstone opens with a quantified local problem, asks a PICOT question with a clearly defined comparison, applies a framework to specific parts of the intervention, and names the instrument, data source and timing for each outcome.
Most fit a 10 to 16 week implementation window. The examples below show that pattern across clinical, education, leadership and informatics tracks.
How to Read These Examples
Each model has five parts. Read them as a chain: each part should follow logically from the one before.
| Part | What it shows |
|---|---|
| Problem | The local practice gap, with numbers |
| PICOT | Population, intervention, comparison, outcome and time |
| Framework | The theory or model, and which part of the intervention it explains |
| Intervention | What actually happens, who does it and when |
| Evaluation | Outcome measures, data sources, analysis and timeline |
All settings and figures below are hypothetical, chosen to show the level of specificity expected. Use real data from your own site.
Nurse Practitioner Track Examples
Example 1: Uncontrolled Type 2 Diabetes in a Community Health Center
Problem: At a community health center, 42% of adults with type 2 diabetes have an HbA1c above 8%, and chart review shows fewer than one in five have been referred to structured self-management education.
PICOT: In adults aged 30 to 65 with type 2 diabetes and HbA1c of 8% or above (P), does NP-initiated referral to a recognized diabetes self-management education program with follow-up at 4 and 12 weeks (I), compared with standard medication management and brief counseling (C), reduce HbA1c by at least 0.5% (O) at 3 months (T)?
Framework: Bandura's Social Cognitive Theory. The program builds self-efficacy through skill practice, peer sessions and NP encouragement; follow-up visits reinforce outcome expectations.
Intervention: The NP reviews HbA1c at every visit and makes a warm referral during the visit for eligible patients, with education materials in the patient's preferred language. A medical assistant makes reminder calls before sessions.
Evaluation: HbA1c change from the EHR (paired t-test); session attendance and a self-efficacy scale as secondary measures. About 16 weeks from baseline audit to 12-week follow-up.
Example 2: Universal Depression Screening in Primary Care
Problem: A ten-provider clinic screens with the PHQ-9 only when patients raise low mood. Six months of data show 14% of adult visits include a PHQ-9, although the USPSTF recommends depression screening for adults.
PICOT: In adults aged 18 to 75 attending any primary care visit (P), does universal PHQ-9 screening with a structured response protocol (I), compared with opportunistic screening (C), increase the screening rate and shorten time to follow-up (O) over 8 weeks (T)?
Framework: Health Belief Model. Systematic screening acts as a cue to action; same-day access to behavioral health lowers perceived barriers.
Intervention: The PHQ-9 is completed on a tablet at rooming. Scores of 10 or more trigger an EHR alert and NP assessment; scores of 15 or more, or any positive answer on self-harm, prompt a same-day warm handoff.
Evaluation: Percentage of adult visits with a documented PHQ-9 compared with baseline; time from positive screen to assessment. About 12 weeks including training.
Nursing Education Track Examples
Example 3: Simulation for Postpartum Hemorrhage
Problem: BSN students in a women's health course report low confidence managing obstetric emergencies, which they observe in clinical placements but rarely take part in.
PICOT: In BSN students in the women's health course (P), does a two-hour high-fidelity postpartum hemorrhage simulation with structured debriefing (I), compared with clinical observation alone (C), improve performance checklist scores (O) by the end of the course (T)?
Framework: NLN Jeffries Simulation Theory, applied through clear objectives, appropriate fidelity, progressive complexity, facilitator cues and structured debriefing.
Intervention: Groups of four complete a pre-brief, a scenario that moves from stable to hemorrhage, and a debrief using a recognized model such as PEARLS. Faculty score a checklist in real time.
Evaluation: Checklist scores (descriptive statistics); pre and post confidence survey (paired t-test); debriefing quality rated with a validated tool. About 10 weeks.
Example 4: Flipped Classroom for Pharmacology
Problem: A first-year pharmacology course has a high failure rate on its cardiovascular and renal unit exam, and students report struggling to absorb long lecture blocks before applying the content.
PICOT: In first-year BSN pharmacology students (P), does a flipped model with short recorded lectures and in-class case work (I), compared with traditional lectures (C), improve unit exam scores (O) over 8 weeks (T)?
Framework: Constructivism. Students process content at their own pace, then work through cases with peer and faculty scaffolding.
Intervention: Each week students watch two or three recorded mini-lectures of about 15 minutes and complete a short readiness quiz. Class time goes to small-group drug cases, with faculty circulating to correct reasoning.
Evaluation: Unit exam scores compared with the previous cohort (same instructor, same exam); a perception survey. The cohort comparison is named as a limitation.
Leadership Track Examples
Example 5: Nurse Residency and First-Year Retention
Problem: A community hospital loses about a third of newly licensed nurses on its medical-surgical units within a year. Exit interviews cite lack of support and feeling unprepared; orientation is six weeks with inconsistent preceptors.
PICOT: In newly licensed RNs hired to medical-surgical units (P), does a structured 12-month residency with a dedicated preceptor and monthly cohort sessions (I), compared with the current orientation (C), improve one-year retention and Casey-Fink Graduate Nurse Experience Survey scores (O) at 6 and 12 months (T)?
Framework: Benner's Novice to Expert model, used to stage the residency from supervised practice to independent, complex assignments.
Intervention: Each resident is paired with a trained preceptor for the first 12 weeks, then a unit mentor for the rest of the year. Monthly cohort sessions cover prioritization, difficult conversations and reflection on practice.
Evaluation: Retention from HR data compared with the previous three years; Casey-Fink scores over time. Interim results at 6 months.
Example 6: Safety Huddles at Shift Change
Problem: A 36-bed telemetry unit has no structured pre-shift communication, and most reported adverse events occur in the first two hours of a shift.
PICOT: In RNs and nursing assistants on the unit (P), does a 10-minute structured safety huddle at shift change (I), compared with no formal pre-shift briefing (C), reduce the share of adverse events in the first two hours of a shift (O) over 8 weeks (T)?
Framework: High Reliability Organization principles, especially sensitivity to operations and deference to expertise.
Intervention: The charge nurse leads a standing huddle at each shift change using a one-page script: high-risk patients, staffing gaps, equipment issues and any safety concern raised by staff. Staff are trained in two short sessions before launch.
Evaluation: Incident timing before and after (chi-square); huddle attendance log; the AHRQ safety culture survey's communication openness items before and after.
Informatics Track Examples
Example 7: Bar-Code Medication Scanning Compliance
Problem: A 28-bed unit scans 82% of medication administrations at the bedside against a 95% target. Workarounds include scanning at the dispensing cabinet and overriding "scan not available" items.
PICOT: In RNs administering medications on the unit (P), does root-cause analysis of overrides, a personal compliance dashboard and peer champions (I), compared with existing monitoring (C), raise scanning compliance to at least 95% (O) at 8 weeks (T)?
Framework: Technology Acceptance Model. Champions improve perceived ease of use; sharing near-miss data improves perceived usefulness.
Evaluation: Weekly compliance on a run chart; override reasons; near-miss reports. About 10 weeks.
Example 8: Patient Portal Activation for Older Adults
Problem: Adults aged 65 and over discharged from a community hospital activate the patient portal far less often than younger adults, and discharge nurses report no time to help.
PICOT: In adults aged 65 and over being discharged without an active portal account (P), does a 15-minute guided bedside activation session (I), compared with a printed invitation (C), increase portal activation (O) within 30 days (T)?
Framework: Technology Acceptance Model, with the session focused on features patients need after discharge: results, medications and follow-up booking.
Evaluation: Activation within 30 days compared with a historical cohort (chi-square); messages sent as an engagement measure.
Psychiatric NP and Clinical Nurse Leader Examples
Example 9: Metabolic Monitoring for Patients on Antipsychotics
Problem: At an outpatient mental health clinic, an audit finds that fewer than half of adults on second-generation antipsychotics have weight, blood pressure, glucose or HbA1c and lipids documented at the intervals in the ADA and APA consensus monitoring schedule.
PICOT: In adults prescribed a second-generation antipsychotic at the clinic (P), does an EHR-prompted metabolic monitoring protocol with nurse-initiated laboratory orders under a standing order (I), compared with prescriber-initiated monitoring (C), increase the proportion of patients with complete metabolic monitoring (O) over 12 weeks (T)?
Framework: Lewin's Change Theory. Sharing the audit unfreezes current practice; the protocol and training move it; monthly audit feedback refreezes the new routine.
Intervention: An EHR flag identifies patients due for monitoring. The clinic nurse records weight and blood pressure at the visit and places laboratory orders under the standing order; the PMHNP reviews abnormal results and documents a plan.
Evaluation: Proportion of eligible patients with complete monitoring compared with the baseline audit (chi-square); a run chart of weekly completion; the number of abnormal results with a documented plan. About 14 weeks.
Example 10: Nurse-Driven Urinary Catheter Removal
Problem: On a 30-bed medical-surgical unit, a point-prevalence audit finds that about a third of indwelling urinary catheters have no documented indication, and removal waits for a physician order.
PICOT: In adults with indwelling urinary catheters on the unit (P), does a nurse-driven removal protocol based on standard indication criteria (I), compared with physician-initiated removal (C), reduce the catheter utilization ratio and CAUTI rate (O) over 12 weeks (T)?
Framework: Donabedian's structure, process and outcome model. The protocol and order set are the structure, daily necessity reviews are the process, and utilization and CAUTI rates are the outcomes.
Intervention: At the start of each day shift, the bedside nurse checks every catheter against the approved indication list, aligned with CDC guidance. If no indication applies, the nurse removes the catheter and follows the post-removal bladder scan protocol.
Evaluation: Catheter utilization ratio and CAUTI per 1,000 catheter days from infection prevention data using NHSN definitions; protocol compliance from weekly audits. CAUTI events are rare on one unit, so the utilization ratio is the primary outcome.
What Strong Examples Have in Common
Look across the ten examples and the same features keep appearing. They are what committees look for in any MSN capstone.
- A quantified problem: a rate, gap or frequency before the PICOT appears.
- A real comparison: "current practice" is described, not just labeled "standard care".
- Applied theory: each framework concept explains a specific part of the intervention.
- Named measures: every outcome has an instrument or data source and a time point.
- Realistic scope: each project fits a one or two semester window.
Turning an Example into Your Own Project
Start from a problem you can see in your own setting, not from a model you like. The examples are templates for structure, not topics to borrow.
- Find local data. An audit, quality dashboard or incident log gives you the number your problem statement needs.
- Write the PICOT. Test it: could someone else repeat this intervention and measure this outcome?
- Choose the framework second. Pick the one that best explains why your intervention should work.
- Plan the measures early. Confirm you can actually access the data before you commit.
If you need inspiration first, the MSN capstone topics guide lists ideas by track. For PICOT wording, see PICOT question examples.
Proposal or Implementation Project?
All ten examples work in either form. The PICOT, framework and literature review are the same; only the last two chapters differ.
| Element | EBP proposal | Implementation project |
|---|---|---|
| Intervention chapter | What you would do, in enough detail to repeat | What you did, including changes along the way |
| Evaluation chapter | Planned measures and analysis, in the future tense | Results, analysis and interpretation |
| Approvals | Often lighter review | Site approval and IRB or QI determination needed |
The level of specificity is the same in both. A proposal still names exact instruments and time points.
How NurseCapstone Helps with MSN Capstone Projects
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Frequently Asked Questions
Use the structure, not the content. Your setting, population, data and intervention must come from your own work and site.
Yes. The PICOT, framework and literature review are the same; the proposal describes what you would do and measure rather than what you did.
Check that the population could have inclusion criteria, the intervention could be repeated by someone else, and the outcome has a named measure.
Many fit a 10 to 16 week implementation window. Choose outcomes you can measure within your program's timeline.
The one that best explains why your intervention should work. Behavior change models suit patient projects; change and leadership models suit unit projects.
Use published benchmarks to frame the problem and propose a baseline audit as the first step. Never estimate or invent local figures.
Usually. Programs use different names for the same applied, practice-focused project. Your handbook sets the actual requirements.