D031 Task 2 Innovation Proposal and Evaluation Example

This D031 Task 2 example proposes a nurse-led transition package after heart failure discharge at a composite 240-bed community hospital whose 30-day readmission rate stands at 22.6%. WGU D031, Advancing Evidence-Based Innovation in Nursing Practice, asks MSN students in its second task to take an innovation from evidence to adoption and evaluation. The sample establishes the baseline from 186 discharges and a review of 40 records showing teach-back documented in only 9, sets an aim of 17% or below by a fixed date, and names stakeholders including patients and caregivers. It then describes the innovation and its evidence base, an adoption plan and an evaluation plan that states how the team will tell whether the change worked without lengthening stays.

CourseD031 Advancing Evidence-Based Innovation in Nursing Practice
TaskTask 2
Paper typeInnovation proposal with adoption and evaluation plans
LengthAbout 1,400 words, 6 pages
FormatAPA 7
SchoolWestern Governors University (WGU)
ProgramMSN
UpdatedSeptember 2026

Free sample paper for D031 Task 2

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A Nurse-Led Transition Package After Heart Failure Discharge: Innovation Proposal, Adoption Plan and Evaluation Against a 22.6 Percent Readmission Baseline

[Author Name]

Master of Science in Nursing, Western Governors University

D031 Advancing Evidence-Based Innovation in Nursing Practice

Task 2

[Course Instructor]

August 11, 2026

Model document written by our desk. The hospital, the staffing and every figure in it are composites; no real organization, employer, colleague or patient is described.

What this page is doingA proposal is easy to start in the abstract. This title sheet refuses that by naming the change, the population and the number it claims to move, so an evaluator knows what is being argued before the first paragraph. It carries the task and the course rather than a deliverable name that is not published anywhere, and it says on its face that the hospital and its figures are composites, which is the honest form for a model document.
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Practice Problem and Baseline

The setting is a composite 240-bed community hospital whose cardiac telemetry service discharges roughly fifteen adults with a primary diagnosis of heart failure each month. In the twelve months ending December 31, 2025, the service recorded 186 heart failure discharges and 42 all-cause readmissions inside 30 days, a readmission rate of 22.6 percent. Thirty-one of the 42 returns arrived between day 8 and day 21, and 27 of them carried a documented weight gain of at least 2 kg since discharge. National payment policy already treats this figure as a performance measure rather than a local curiosity, so the problem is clinical and financial at the same time (Centers for Medicare & Medicaid Services, 2024).

A review of 40 consecutive discharge records from the same period describes the process as it currently runs. Written instructions were present in 38 of the 40 records, but teach-back was documented in 9. A follow-up appointment inside 7 days was arranged for 14. A daily weight log was issued to 11, and 3 of those records show the patient able to state a weight change that should trigger a call. Medication reconciliation was complete at discharge in 36 records, yet 12 patients had not filled a new prescription 72 hours later. The gap is not knowledge of heart failure care inside the hospital; it is the handoff into the first fourteen days at home.

The aim statement fixes the target before any solution is chosen: reduce 30-day all-cause readmission after a heart failure discharge from 22.6 percent to 17 percent or below by March 31, 2027, without lengthening average stay. Stakeholders are the telemetry nursing staff, the hospitalist and cardiology groups, case management, pharmacy, the outpatient heart failure clinic, informatics, and the finance office that owns the readmission penalty forecast. Patients and family caregivers sit inside the plan rather than beside it, since the change asks them to weigh themselves daily and to call on a stated rule rather than on how they feel.

What this page is doingThe baseline arrives with its denominator and its window, and the record review that follows shows how the current state was measured instead of asserting it. That order matters for the aspect on problem identification, because every later claim can be checked against 186 discharges and 42 readmissions. The aim statement then commits to a figure and a date, which is what separates an improvement proposal from a description of something that ought to be better.
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The Proposed Innovation and Its Evidence Base

The proposal is a nurse-led transition package delivered by one experienced registered nurse working across the telemetry service and the outpatient clinic. It has four parts: structured teach-back before discharge, with the patient stating a weight change and the action it triggers; a digital scale issued at discharge and paired to a shared log; a nurse telephone contact at 48 hours and again at day 7 following a written script that checks weight trend, diuretic dose, symptoms and the booked appointment; and a standing route into the outpatient clinic inside 7 days that does not need a physician referral to book. Nothing in the package requires new technology beyond scales and a flag in the existing record.

The evidence behind each part was appraised by level rather than counted. Multi-component transitional care packages sit at the strongest levels available for this question, systematic reviews of randomized trials, and they consistently outperform any single element used alone; a call by itself, a booklet by itself or an appointment by itself carries far weaker support (Melnyk & Fineout-Overholt, 2023). The federally maintained discharge redesign toolkit supplies the operational detail trials rarely publish, including scripted contact and reconciliation steps that nursing staff can run without a physician present (Agency for Healthcare Research and Quality, 2017). Where the evidence is thin, this proposal says so: issuing scales rests on reasoning about early volume overload rather than on trial evidence of the same strength.

Appraisal also sets limits. Reported effects on 30-day readmission are real but modest, and most published gains come from packages run with fidelity for a year or more rather than from a launch month. Trial populations skew toward patients with a telephone, stable housing and a caregiver at home, which describes roughly two thirds of this service's discharges. Nothing in the appraised evidence supports a nurse call substituting for an outpatient visit, so the package keeps both rather than trading one for the other. The proposal therefore predicts a rate near 17 percent rather than a halving of the figure, and it names the patients it is least likely to reach.

What this page is doingGraduate work is judged on how evidence is handled, not on how much of it is cited. Each part of the package here is tied to the strength of evidence behind it, and the paragraph that follows says where the evidence runs out and which patients the trials did not include. Naming that limit is what makes the predicted effect believable. A proposal claiming a large fall with no fidelity or reach caveat is the one that comes back for revision.
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Adoption Plan

Adoption runs in three phases against named dates. From September 1 to October 31, 2026, the package runs with eight volunteer telemetry nurses on day shift, which is where the early adopters already sit. Diffusion of an innovation depends more on what those first users tell their colleagues than on how the change is announced (Rogers, 2003). From November 1, 2026 to January 31, 2027, it extends to every shift on the telemetry service. From February 1, 2027, it covers heart failure discharges from any inpatient service. Each phase closes with a review that can hold the change where it is, adjust the script, or stop the spread altogether.

Resources are stated rather than implied. The nurse role is 0.6 full-time equivalent at roughly 62,000 dollars a year including benefits; 150 digital scales at 38 dollars each cost 5,700 dollars in the first year; scripting, teach-back training and record changes take an estimated 90 hours of informatics and educator time. Training is four hours per nurse in two sittings, and completion is recorded by a return demonstration of teach-back rather than by an attendance sheet. Against a baseline of 42 readmissions a year, avoiding nine of them recovers the recurring cost at any defensible estimate of what one readmission costs, which is the argument the finance office will ask for first.

Three barriers are predictable. Nursing time at discharge is the first, answered by moving teach-back into the discharge conversation that already happens rather than adding a step beside it. Telephone reach is the second; the plan allows two attempts per contact and a text message fallback, and it records the reach rate rather than assuming it. Physician ownership is the third, answered by giving the cardiology group the monthly data and a standing invitation to change the script. A named executive sponsor and a monthly report to the quality committee keep the change from depending on the enthusiasm of one nurse.

What this page is doingThe adoption plan is dated, staffed and costed, so a reader can picture the first day of it. Phasing through early adopters is not decoration; it is the diffusion argument doing work, and the review closing each phase gives the plan a way to stop. The resource paragraph answers the question finance asks before anything is approved, and the barrier paragraph names the failure modes rather than promising smooth uptake.
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Evaluation Plan: Telling Whether It Worked

Evaluation names three kinds of measure and the source of each. The outcome measure is 30-day all-cause readmission after a heart failure discharge, drawn from the same billing extract that produced the 22.6 percent baseline, so the before and after figures are built the same way. Process measures are the share of discharges with documented teach-back and a stated weight trigger, the share reached at 48 hours and at day 7, and the share seen in the outpatient clinic inside 7 days. The balancing measure is average length of stay, watched because a package added at discharge can quietly hold patients an extra day.

Data is read monthly on a run chart rather than as a single before and after comparison, because a rate built on roughly fifteen discharges a month swings widely by chance alone and one low month proves nothing (Langley et al., 2009). The decision rule is set in advance: eight consecutive readings below the baseline, or six consecutive readings below 17 percent, count as a signal rather than noise. If the outcome measure has not moved by June 30, 2027 while the process measures sit above 80 percent, the honest conclusion is that the package was delivered as designed and did not work in this setting, which is a finding rather than a failure.

Results are written up in the structure used for improvement reporting, which asks for the context, the intervention as it was actually delivered, the measures and the reasoning that links them (Ogrinc et al., 2016). Two limits belong in that report. Pharmacist coverage at discharge changed during the same period, so improvement cannot be assigned to this package alone. Readmission to another hospital stays invisible in the billing extract, which understates the true rate at both ends of the comparison. Sustainment is defined as the package surviving without its sponsor: scripts inside the standard workflow, scales in the supply chain, and the monthly chart owned by the quality committee.

What this page is doingThree kinds of measure, one named data source each, and a decision rule written before the data arrives. That combination is what an evaluation aspect looks for, because it makes the result falsifiable: the paper commits in advance to what would count as no effect. The limits paragraph then names a change happening alongside it and a blind spot in the data, which stops the conclusion claiming more than the numbers can carry.
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References

Agency for Healthcare Research and Quality. (2017). Re-Engineered Discharge (RED) toolkit. U.S. Department of Health and Human Services. https://www.ahrq.gov/patient-safety/settings/hospital/red/toolkit/index.html

Centers for Medicare & Medicaid Services. (2024). Hospital Readmissions Reduction Program (HRRP). U.S. Department of Health and Human Services. https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/hospital-readmissions-reduction-program-hrrp

Langley, G. J., Moen, R. D., Nolan, K. M., Nolan, T. W., Norman, C. L., & Provost, L. P. (2009). The improvement guide: A practical approach to enhancing organizational performance (2nd ed.). Jossey-Bass.

Melnyk, B. M., & Fineout-Overholt, E. (2023). Evidence-based practice in nursing and healthcare: A guide to best practice (5th ed.). Wolters Kluwer.

Ogrinc, G., Davies, L., Goodman, D., Batalden, P., Davidoff, F., & Stevens, D. (2016). SQUIRE 2.0 (Standards for Quality Improvement Reporting Excellence): Revised publication guidelines from a detailed consensus process. BMJ Quality & Safety, 25(12), 986-992.

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

What the D031 Task 2 instructions ask

The second D031 task asks you to propose an innovation and plan how it will be adopted and evaluated. Most versions ask you to describe the practice problem and baseline, the proposed innovation with its evidence, stakeholders, an adoption or implementation plan, and an evaluation plan with measures. The baseline should come from data, even if composite, and the aim should be measurable with a date. Evaluators look for an innovation aimed at the documented gap, an adoption sequence with owners and dates, and an evaluation that can distinguish real improvement from chance or unintended effects. Many versions also ask for a timeline.

How this D031 Task 2 example is built

The paper begins with the practice problem and a baseline built from discharge counts and a record review, which pinpoints where the process fails. The aim statement fixes the target before any solution is chosen. The innovation section describes each element of the transition package and ties it to evidence. The adoption plan covers training, workflow changes, electronic record tools and the role of each stakeholder group, in sequence. The evaluation section defines outcome, process and balancing measures, including length of stay, and explains how results will be tracked over time. Margin notes point out where the paper meets each part of the task.

Where the D031 Task 2 rubric puts the marks

Evaluators score D031 Task 2 one aspect at a time as competent, approaching competence or not evident. A problem and baseline aspect checks for data that define the gap. An innovation aspect asks for a specific, evidence-based change. A stakeholder aspect looks for the people affected and their roles. An adoption aspect wants a realistic plan with steps and responsibilities. An evaluation aspect asks for measures, including balancing measures, and a method for judging results. Evaluators expect the evaluation to connect back to the baseline and aim. Citations and clear prose count too. Evaluators also check that the aim, baseline and evaluation measures use the same definitions, so results can be compared with the starting point without adjustment.

D031 Task 2 help: what sends it back

Innovation proposals are returned most often when the baseline is missing or vague. Collect or construct data that show the size and shape of the problem. Second, the aim lacks a date or a number. Third, the adoption plan is a list of intentions. Sequence the steps and assign owners. Fourth, evaluation measures only the outcome. Add process measures to show whether the innovation was delivered as planned and balancing measures to catch harm, such as longer stays. Finally, include patients and caregivers as stakeholders when the innovation asks them to change their behavior at home. State who will collect each measure. Keep the aim, baseline and measures on one page so they can be compared easily.

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This paper is an original model document written by our desk, not a submitted student paper and not an official Western Governors University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

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D031 Task 2 questions, answered

What counts as an innovation in a D031 Task 2 paper?

Something new to the setting with a defensible evidence base, not something new to the world. The sample above rebuilds a discharge and follow-up process out of parts the literature already supports. What makes it an innovation proposal is the adoption argument: who changes their practice, in what order, with what support, and what happens if uptake stalls.

Do I need real data from my own organization for the baseline?

Check what your task instructions allow. A model document like this one uses composite figures, so nothing traceable appears in it. If you use figures from practice, keep them aggregate, name the window and the denominator, and clear the release with your organization first. What the paper needs is a baseline that behaves like a measurement, wherever it came from.

How detailed should the evaluation plan be?

Detailed enough that somebody else could run it. Name the measure, the source of the data, how often it is read, and the rule that decides whether the change worked. Papers that stop at 'outcomes will be monitored' leave that aspect unmet, and an evaluator returning it for revision will usually ask for exactly those four items.

What counts as an innovation in D031 Task 2?

A new or significantly changed practice, process or tool that addresses a documented gap. The sample's innovation is a nurse-led transition package for the first weeks after heart failure discharge.

Where can I find a free D031 Task 2 sample paper?

The full innovation proposal, adoption plan and evaluation are reproduced above with notes. Share your D031 task and practice problem, and the desk writes your first custom proposal free.