DNP860 Evidence-Based Practice for Quality Improvement sample papers, module by module

Reviewed by Maren Hollowell, MSN, RN Evidence-Based Practice for Quality Improvement Aspen University Free custom samples in 24–48h

DNP860 is the course where evidence stops being a literature review and becomes a plan somebody has to run. Samples here show PICOT questions, appraisal tables, QI models, and evaluation designs built with a baseline and a measure.

How this shelf works

Send the exact assignment or rubric from your classroom and a custom sample written to it lands in 24 to 48 hours, the first one free. DNP860 is Aspen’s Evidence-Based Practice for Quality Improvement course. It centers on turning appraised evidence into a quality improvement design, with a measurable aim, a tested change, and an evaluation that is not a research trial. Searches like "dnp 860 module 4 assignment example", "DNP860 sample paper", and "DNP860 module samples" land on this page.

What DNP860 is really about

Eight modules, and the arc most sections follow runs from question to plan. Early modules typically build a searchable clinical question and a search strategy that can be repeated by someone else. Middle modules usually sit on appraisal: levels of evidence, quality of the studies you found, and synthesis that says what the body of evidence supports rather than what each article said. Later modules often move to improvement models, so PDSA cycles, driver diagrams, run charts, and the difference between a change and an improvement. The written assignment in each module tends to build toward a single proposal, which means an early weak question follows you.

One boundary matters more in this course than anywhere else in the sequence. Practicum hours, preceptor and site records, logs, and anything submitted to an IRB or a determination committee are your own record, produced by you, and no sample ever stands in for them. What a sample can do is model the written scholarly layer: the appraisal table, the synthesis, the proposal, the evaluation plan. Papers on this shelf are built at that layer. They carry a focused question, a search that can be reproduced, an appraisal that grades evidence rather than listing it, an improvement model applied cycle by cycle, and an evaluation with a stated measure.

What DNP860’s assessments ask for

The rubric here rewards specificity at every stage. A question has to name the population, the change, the comparison, the outcome, and the time frame, because a vague question makes every later section vague. A search has to name databases, terms, limits, and years, so a reader could repeat it. An appraisal has to assign levels and comment on quality, not summarize abstracts. A synthesis has to state what the evidence supports across studies, including where it disagrees. And the improvement plan has to say what will change, who changes it, what will be counted, how often, and against what starting value. Instructors also want the distinction held: this is improvement work evaluated locally, not a study seeking generalizable findings.

Where students lose points in DNP860

Most lost points in DNP860 come from a proposal that cannot be evaluated. The aim says improve compliance, the plan says educate staff, and nothing anywhere states the current rate, the target, the counting method, or the date the count happens. A QI proposal without a baseline has no way to show improvement, and one without a measurement window has no way to show it happened during the intervention rather than by drift. Graders read the evaluation section first for that reason. Write the aim as a number moving from one value to another by a stated date, name the data source you will pull it from, and set the interval at which you will look.

DNP860 grading scale at Aspen: how the work is graded, from Aspen Assignments
How Aspen grades DNP860, visualized by Aspen Assignments.

The DNP860 drawers

Module 1

DNP860 Module 1 assignment example

PICOT paper: an emergency department nurse's frustration with false-positive blood cultures turned into local data, a background question, and a searchable intervention question. Full sample paper, read it free.

Read the sample →
Module 2

DNP860 Module 2 assignment example

Search strategy paper: every database, subject heading, keyword, limit and count for the blood culture contamination question, written so another reader could run the same search and get the same results. Full sample paper, read it free.

Read the sample →
Module 3

DNP860 Module 3 assignment example

Appraisal paper: five sources on blood culture contamination rated by the Johns Hopkins levels and quality grades, with what each can and cannot support and where the bundle's evidence is thin. Full sample paper, read it free.

Read the sample →
Module 4

DNP860 Module 4 assignment example

Module 4 assignments frequently ask for a synthesis stating what the evidence supports. On request, free, 24-48h.

Read the sample →
Module 5

DNP860 Module 5 assignment example

Model selection paper: the Model for Improvement chosen for a blood culture collection bundle over Lean and Six Sigma, with the criteria, the evidence on each and what the choice commits the project to. Full sample paper, read it free.

Read the sample →
Module 6

DNP860 Module 6 assignment example

Discussion post: a sister hospital that rolled out blood culture diversion devices to every emergency nurse in one week, why contamination barely moved, and what testing in cycles would have caught. Full sample paper, read it free.

Read the sample →
Module 7

DNP860 Module 7 assignment example

Evaluation plan: the baseline, outcome, process and balancing measures for a blood culture collection bundle, how often each is plotted, and the control chart rules that decide whether the change worked. Full sample paper, read it free.

Read the sample →
Module 8

DNP860 Module 8 assignment example

QI proposal: the term's work assembled into one defensible plan to cut emergency department blood culture contamination from 4.1 to under 2 percent, with the budget, the ethics determination and what happens after the project ends. Full sample paper, read it free.

Read the sample →
Different?

Your classroom shows something else?

Aspen University revises courses; module counts and deliverables shift between terms. Send what your classroom shows and the desk matches it exactly.

Send it over →

Using a DNP860 sample the right way

Open a sample at its aim statement and its evaluation plan before reading anything else, because those two sections tell you whether the rest is serious. Study how the aim converts a clinical frustration into a number with a deadline, and how the evaluation names the data source, the frequency, and the person pulling it. Then build your own around your setting and your evidence. The clinical access, the site relationship, and the hours are yours alone. Send the assignment instructions and rubric from your classroom and the first custom sample arrives free, written to them, in 24-48h.

How these samples are written

The discipline behind every paper here: the rubric is the outline, each row gets its section, capstone and dissertation phases stage like the builds they are, and field-course paperwork stays tidy while the hours stay yours. Send your module's instructions with a request and the sample matches them, revisions included.

DNP860 questions, answered

My department has no baseline data for the problem I want to fix. What now?

Then measuring it becomes part of the plan. Many proposals include a short pre-implementation count, using a chart audit of a defined sample over a defined period, and state that count as the baseline. Say how many records, over what dates, and by what rule you counted. A described method beats a guessed percentage every time.

Is my QI project a research study, and does that change how I write it?

It changes almost everything. Improvement work aims to change one local system and is evaluated against its own baseline, so the writing emphasizes aim, cycles, and local measures rather than hypotheses and generalizability. Papers that borrow trial language get marked for it. Keep the design local, state the limits of what a single site can show, and let the measurement window carry the argument.

How specific does the aim statement have to be?

Specific enough that someone could tell you were wrong. A usable aim names the measure, the current value, the target value, the population, and the date. Increase hand hygiene compliance is not an aim; raising audited compliance on one medical floor from a stated percentage to a stated percentage within a set period is. Everything downstream gets easier once that sentence exists.