Seeing a complete, well-formed capstone example is one of the fastest ways to understand what a strong project looks like across all its components. Each example below is fully worked: the clinical problem is established, the PICOT is properly structured with all five elements, the framework is named and connected, the intervention is specific and nurse-driven, and the outcome is measurable. These are models of structure — adapt the format to your own clinical problem, setting, and program requirements.
How to use these examples
These examples are for structural guidance — to show you how each component connects to the others and what level of specificity is expected at each step. Do not use these as templates to fill in your own topic word-for-word. Your program's plagiarism detection will flag direct reuse, and your faculty will recognize a paper that does not reflect your own clinical setting. Use the architecture: the way the PICOT connects to the intervention, how the intervention connects to the outcome, and how the evaluation plan uses a specific metric and timeframe.
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Start your capstone Browse more topicsThe 10 worked examples
Hourly Rounding to Reduce Patient Falls — Med-Surg Unit
Clinical problem: A 32-bed medical-surgical unit has documented a fall rate of 4.6 per 1,000 patient days over Q1–Q2 2024, above the NDNQI benchmark of 3.8. Falls resulting in injury have increased by 18% compared to the same period in 2023.
PICOT: In adult patients aged ≥65 years admitted to a 32-bed medical-surgical unit (P), does implementation of structured nurse-initiated hourly rounding using a standardized checklist (I), compared to unstructured nursing rounds (C), reduce patient fall rates per 1,000 patient days (O) over a 90-day pilot period (T)?
EBP Framework: Iowa Model of Evidence-Based Practice — triggered by a problem-focused trigger (elevated unit fall rate). Evidence synthesis informs the proposed protocol change.
Intervention: Structured hourly rounding protocol requiring nursing staff to complete a four-point check (pain, position, personal needs, placement of call light) every 60 minutes during day/evening shifts, documented on a unit whiteboard and in the EHR. Staff education: 30-minute in-service with return demonstration.
Outcome metric: Fall rate per 1,000 patient days, measured monthly using NDNQI definitions. Baseline: 4.6. Target: ≤3.8 by month 3.
Evaluation: Monthly rate comparison over 90 days. Secondary outcome: call light use frequency (proxy for unmet needs).
CAUTI Prevention Bundle — Adult ICU
Clinical problem: A 16-bed adult medical ICU reports a CAUTI rate of 2.1 per 1,000 catheter days over the past two quarters, above the CDC NHSN national average of 1.4. All patients with indwelling urinary catheters require daily clinical necessity review per Joint Commission NPSG standards, but documentation shows review completed in only 62% of catheter-days.
PICOT: In adult ICU patients with indwelling urinary catheters (P), does a nurse-initiated daily catheter necessity checklist combined with bedside removal prompting (I), compared to current physician-dependent review (C), reduce CAUTI rates per 1,000 catheter days (O) over a 6-month pilot period (T)?
EBP Framework: PDSA (Plan-Do-Study-Act) cycle — plan the checklist protocol, implement during a 6-month pilot, study CAUTI rate and compliance data, act to sustain or modify.
Intervention: Nurses complete a validated catheter necessity checklist (seven standard indications) each morning during care rounds and prompt attending physician for removal order when criteria are no longer met. Checklist embedded in nursing care flow sheet in EHR.
Outcome metric: CAUTI rate per 1,000 catheter days (CDC NHSN definition). Baseline: 2.1. Target: ≤1.4. Secondary: catheter utilization ratio (catheter days / patient days).
Evaluation: Monthly CAUTI rate and catheter utilization ratio over 6 months. Compliance rate (% of catheter-days with documented checklist) tracked weekly.
Teach-Back Discharge Education — Heart Failure Readmissions
Clinical problem: A community hospital's 30-day heart failure readmission rate is 22%, above the CMS benchmark of 21.5% and significantly above the national target of 20%. Nursing staff report inconsistent discharge education delivery and low patient understanding of daily weight monitoring and fluid restriction.
PICOT: In adult patients (≥18 years) hospitalized with a primary diagnosis of heart failure (P), does a structured nurse-led discharge education session using the teach-back method (I), compared to standard written discharge instructions alone (C), reduce 30-day readmission rates (O) over a 6-month implementation period (T)?
EBP Framework: Iowa Model — knowledge-focused trigger (literature demonstrating teach-back efficacy in heart failure). Evidence synthesis supports the practice change proposal.
Intervention: Structured 20-minute bedside teach-back session delivered by the discharging nurse within 4 hours of discharge. Standardized script covering: daily weight monitoring, fluid restriction, medication adherence, and when to call a provider. Patient demonstrates understanding by explaining each component back. Session documented in EHR with pass/fail for each component.
Outcome metric: 30-day all-cause readmission rate for heart failure patients. Baseline: 22%. Target: ≤20% by month 6.
Evaluation: Monthly readmission rate comparison against 6-month pre-implementation baseline. Secondary: teach-back completion rate and documentation compliance.
Bedside Shift Report — Patient Satisfaction and Safety Events
Clinical problem: A 24-bed progressive care unit scores in the 42nd percentile on the HCAHPS "communication about care" domain. Nursing staff report that hallway handoff report leaves patients uninformed about their plan of care, and two medication discrepancies in the past quarter were attributed to handoff communication failures.
PICOT: In adult patients on a 24-bed progressive care unit (P), does implementation of standardized bedside shift report (I), compared to traditional hallway handoff (C), improve HCAHPS "communication about care" scores and reduce handoff-related adverse events (O) over a 90-day pilot (T)?
EBP Framework: Lewin's Change Theory — unfreeze current hallway handoff practice through staff education on evidence base; move by piloting bedside shift report with coaching; refreeze through policy revision and monthly audits.
Intervention: Structured bedside shift report using a standardized SBAR framework, delivered at the patient bedside with patient and family present. Oncoming nurse reviews orders, confirms patient understanding, and addresses questions. Duration target: 5–7 minutes. Two-week staff training with observed competency check before go-live.
Outcome metric: HCAHPS "communication about care" composite score (quarterly survey). Secondary: handoff-related near-miss events per unit safety report. Target: percentile improvement from 42nd to ≥50th.
Evaluation: HCAHPS comparison before and after 90-day pilot. Monthly safety event log review for handoff-attributed incidents.
PHQ-9 Depression Screening — Primary Care Clinic
Clinical problem: A federally qualified health center serving a predominantly uninsured urban population reports that depression screening is completed at only 34% of eligible adult visits. The USPSTF recommends universal depression screening for all adults in primary care. Undetected depression in this population is associated with poor chronic disease management and increased ED utilization.
PICOT: In adult patients (≥18 years) seen at a primary care clinic (P), does nurse-administered PHQ-9 screening at every primary care visit (I), compared to physician-discretion-based screening (C), increase the proportion of adult visits with documented depression screening (O) over a 3-month implementation period (T)?
EBP Framework: ACE Star Model of Knowledge Transformation — moves from discovery (USPSTF recommendation) through evidence summary, translation, integration into nursing practice (screening protocol), and evaluation.
Intervention: Medical assistants or nurses administer the PHQ-9 on a tablet or paper at every adult primary care visit before the provider encounter. Score documented in the EHR with automatic provider alert for PHQ-9 ≥10. Protocol education: 1-hour training for all clinical staff. PHQ-9 materials available in English and Spanish.
Outcome metric: Percentage of eligible adult visits with completed PHQ-9 documented in EHR. Baseline: 34%. Target: ≥80% by month 3.
Evaluation: Monthly EHR audit of PHQ-9 completion rates. Secondary: proportion of PHQ-9 ≥10 scores with documented follow-up plan.
Early Sepsis Recognition — Nurse-Initiated Screening Tool
Clinical problem: A 40-bed medical unit reports an average time-to-antibiotic initiation of 3.8 hours from sepsis identification, above the SEP-1 bundle target of 3 hours. Chart review reveals that 60% of sepsis cases are identified by physicians on rounds rather than by bedside nurses, suggesting missed early recognition opportunities.
PICOT: In adult patients on a 40-bed medical unit (P), does implementation of a nurse-initiated sepsis screening tool with structured SBAR escalation to the provider (I), compared to standard physician-dependent identification (C), reduce median time-to-antibiotic initiation (O) over a 6-month pilot period (T)?
EBP Framework: Iowa Model — problem-focused trigger (time-to-antibiotic above SEP-1 target). Evidence supports nurse-initiated screening tools as effective in reducing identification-to-treatment time.
Intervention: Nurses assess for sepsis criteria (SIRS + suspected infection source) every 4 hours and whenever vital sign parameters are met (temperature >38.3°C or <36°C; HR >90; RR >20; WBC abnormality on available labs). Positive screen triggers an immediate SBAR call to the provider with a standardized escalation script. Screening documented in nursing assessment flowsheet.
Outcome metric: Median time-to-antibiotic initiation (hours) from nursing identification. Baseline: 3.8 hours. Target: ≤3.0 hours.
Evaluation: Monthly review of sepsis cases comparing time-to-identification and time-to-antibiotic pre and post implementation. Compliance: % of shifts with completed sepsis screening documentation.
Pressure Injury Prevention — Repositioning Protocol in the ICU
Clinical problem: A 20-bed MICU reports a hospital-acquired pressure injury (HAPU) rate of 3.2 per 1,000 patient days over Q1 2024, above the NDNQI benchmark. Audit data show that only 58% of ventilated patients are repositioned every 2 hours per existing policy, suggesting a compliance rather than protocol gap.
PICOT: In mechanically ventilated adult patients in the MICU (P), does a nurse-led repositioning audit system with real-time documentation and peer accountability (I), compared to current self-reported compliance (C), improve repositioning compliance rates and reduce HAPU incidence (O) over a 60-day pilot (T)?
EBP Framework: PDSA — plan the audit system, implement over 60-day pilot, study compliance and HAPU rates, act to sustain or adjust.
Intervention: Repositioning documented in the EHR every 2 hours using a standardized field (position, skin assessment, Braden re-score). Charge nurse reviews compliance dashboard daily. Weekly peer audit: charge nurse and bedside nurse co-review one patient chart for documentation completeness. Unit-level compliance rate posted weekly on whiteboard.
Outcome metric: HAPU incidence per 1,000 patient days (NDNQI definition). Secondary: repositioning documentation compliance rate. Baseline HAPU rate: 3.2. Target: ≤2.0.
Evaluation: Monthly HAPU rate over 60-day pilot. Weekly compliance rate audit. Post-pilot survey of nursing staff on documentation burden.
Nurse-Led Smoking Cessation Brief Intervention — Outpatient Clinic
Clinical problem: An outpatient pulmonology clinic serving patients with COPD and lung cancer risk sees approximately 140 active smokers per month. Nursing intake documentation shows smoking status is documented in 94% of visits, but only 11% of charts include documentation of cessation counseling or referral, well below the 5As guideline recommendation for every clinical encounter.
PICOT: In adult active smokers seen in an outpatient pulmonology clinic (P), does nurse delivery of the 5As brief smoking cessation intervention (Ask, Advise, Assess, Assist, Arrange) at every visit (I), compared to unstructured provider-led counseling (C), increase the proportion of visits with documented cessation counseling and referral (O) over a 3-month implementation period (T)?
EBP Framework: Lewin's Change Theory — unfreeze current passive documentation practice; move by training nurses in the 5As framework; refreeze through nursing documentation requirement and monthly compliance audit.
Intervention: Nurses deliver a structured 3-minute 5As cessation brief intervention during intake for all patients who screen positive as current smokers. Components: Ask (confirm current smoking), Advise (clear, strong advice to quit), Assess (readiness to quit), Assist (provide quitline number and cessation materials), Arrange (schedule follow-up within 30 days). All five components documented in intake assessment in EHR.
Outcome metric: Proportion of current-smoker visits with all 5 components of 5As documented. Baseline: 11%. Target: ≥60% by month 3.
Evaluation: Monthly EHR audit of 5As documentation completion. Secondary: 30-day quit attempt rate (self-reported at follow-up visit).
Alarm Fatigue Reduction — Telemetry Unit
Clinical problem: A 28-bed telemetry unit generates an average of 187 alarms per patient per day, of which nursing staff estimate fewer than 10% require clinical action. The Joint Commission identifies alarm fatigue as a National Patient Safety Goal. Three near-miss events in the past 6 months were attributed to delayed response to clinically significant alarms.
PICOT: In adult patients on a 28-bed telemetry unit (P), does a nurse-led alarm rationalization protocol including individualized alarm parameter setting at admission and daily reassessment (I), compared to current unit-default alarm settings (C), reduce total non-actionable alarm events per patient per day (O) over an 8-week pilot (T)?
EBP Framework: Iowa Model — problem-focused trigger (near-miss events and Joint Commission NPSG). Evidence supports individualized alarm parameter setting as effective in reducing alarm burden without compromising patient safety.
Intervention: Nurses set individualized HR, RR, and SpO2 alarm parameters for each patient at admission based on their clinical baseline (not unit defaults). Parameters documented and reassessed every 12 hours. Electrode placement reviewed daily. Charge nurse reviews alarm data dashboard weekly during huddle.
Outcome metric: Non-actionable alarm events per patient per day (defined as alarms silenced within 10 seconds without clinical intervention). Baseline: 187/patient/day. Target: ≤120/patient/day.
Evaluation: Weekly alarm data pull from monitoring system. Time-to-response for actionable alarms tracked throughout to confirm safety is not compromised.
Diabetic Discharge Education — Teach-Back for Newly Diagnosed Type 2 Diabetes
Clinical problem: A medical unit discharges approximately 18 patients per month with a primary or secondary diagnosis of new-onset type 2 diabetes. A retrospective chart review shows that 72% of these patients return to the ED within 60 days with glycemic crisis or diabetes-related complication. Discharge education is documented as "verbal instruction given" in 89% of cases with no return demonstration or comprehension confirmation.
PICOT: In adult inpatients with a new diagnosis of type 2 diabetes discharged from a medical unit (P), does a structured nurse-led teach-back education session covering insulin administration, blood glucose monitoring, hypoglycemia recognition, and dietary guidance (I), compared to standard verbal discharge instructions (C), reduce 60-day diabetes-related ED return visits (O) over a 6-month implementation period (T)?
EBP Framework: Iowa Model — evidence base from ADA Standards of Medical Care and nursing EBP literature supports structured diabetes education with return demonstration at discharge as reducing readmission risk.
Intervention: A 30-minute structured discharge education session delivered by the bedside nurse or a trained diabetes nurse educator using a standardized script and visual aids. Patient demonstrates: correct blood glucose monitoring technique, insulin injection technique (where applicable), correct identification and response to hypoglycemia symptoms, and one dietary modification. Each component rated pass/fail with re-teaching until passed. Session documented in EHR. Diabetes nurse educator available for complex patients.
Outcome metric: 60-day diabetes-related ED return visit rate. Baseline: 72%. Target: ≤50% by month 6. Secondary: teach-back component completion rate and pass rates per component.
Evaluation: Monthly review of 60-day ED return visit data from hospital readmission database. EHR audit for teach-back documentation completeness. Post-implementation survey of nursing staff on feasibility and time burden.
What these examples have in common
Each example above demonstrates the structural qualities faculty look for in a strong BSN capstone:
- Specific population and setting: Not "adult patients" but "adult patients ≥65 years on a 32-bed medical-surgical unit." Specificity grounds the project in clinical reality.
- Baseline data: Every example includes a current rate or benchmark comparison. This is not decoration — it establishes the clinical gap the project addresses.
- Nurse-driven intervention: Every intervention is something nurses can initiate and implement without physician orders. The capstone demonstrates nursing leadership, not nursing compliance.
- Specific, measurable outcome with a target: Not "improved outcomes" but "fall rate ≤3.8 per 1,000 patient days by month 3."
- Named EBP framework with a reason for selection: The framework is connected to the project type — problem-focused triggers align with the Iowa Model; organizational change aligns with Lewin's; iterative improvement aligns with PDSA.
Related guides
Frequently asked questions
Yes — use the structure as a model and adapt every element to your own clinical setting. Change the unit type to your actual unit, the baseline data to your actual metrics, the patient population to your actual population, and the implementation details to what is feasible in your workplace. Your capstone should describe your clinical context specifically; a paper that reads as generic will not earn the clinical grounding points most rubrics include.
Yes. The PICOT → intervention → outcome → evaluation structure is universal regardless of which EBP framework you use. The framework section of the paper is where you name and apply your required model. The rest of the paper's structure — problem statement, PICOT, literature review, implementation plan, evaluation plan — applies across all frameworks.
As specific as you can make it without compromising patient confidentiality or institutional data policies. If you work on the unit and know the actual fall rate from last quarter, use it. If you do not have access to unit-level data, use published national benchmark data (NDNQI, CMS, CDC) as the baseline and frame your evaluation plan around comparing to that benchmark. Institutional data is stronger for the problem statement; published benchmarks are always acceptable for establishing significance.
That is not a problem — in fact, it is common. Many capstone students propose interventions that partially or fully exist on their unit. Frame your project as a formalization and evaluation of the current practice: "Although hourly rounding is described in our unit policy, audits show 58% compliance. This project proposes a structured accountability system to improve compliance and evaluates its impact on fall rates." This is entirely legitimate EBP — identifying a gap in implementation and proposing a structured improvement.