| Course | DNP 805 Organizational and Systems Leadership |
|---|---|
| Module | Module 5 |
| Paper type | System quality improvement paper |
| Length | About 1,059 words, 6 pages |
| Format | APA 7 student paper |
| School | Aspen University |
| Program | DNP |
| Updated | September 2026 |
Free sample paper for DNP 805 Module 5
Drowsy Before the Crisis: A System Quality Initiative to Prevent Opioid-Induced Oversedation, Built on a Driver Diagram
Student Name
Doctor of Nursing Practice Program, Aspen University
DNP 805: Organizational and Systems Leadership
Instructor Name
Month Day, Year
Drowsy Before the Crisis: A System Quality Initiative to Prevent Opioid-Induced Oversedation, Built on a Driver Diagram
Opioids are essential for treating acute pain in hospital, but they can depress breathing, and the consequences are among the most devastating preventable harms in inpatient care. This paper describes a quality initiative in a composite five-hospital system to prevent opioid-induced oversedation and respiratory depression on medical and surgical units. It sets out the problem and the system's data, states a measurable aim, presents a driver diagram that links the aim to the factors that influence it and the changes to be tested, and defines a family of measures. The driver diagram is the tool that allows a system to test different changes at different sites while pursuing a common goal.
The Problem
Among closed malpractice claims for breathing depression caused by opioids after surgery, 77% of the patients died or were left with severe brain injury, 88% of the events occurred within a day of the operation, and reviewers considered 97% avoidable had monitoring and response been better. Contributing factors included multiple prescribers, concurrent sedating medications and inadequate nursing assessment or response. Somnolence was noted in 62% of patients before the event (Lee et al., 2015). That last figure matters: in most cases there was a warning sign, increasing sedation, that was not acted upon.
In the composite system, naloxone administration for suspected opioid oversedation on general units served as a trigger for review. Over the past year there were 118 such rescues, about 2.1 per 1,000 patients receiving opioids, with wide variation among hospitals. Chart reviews showed sedation was often documented only as awake or asleep, continuous monitoring was used inconsistently, and orders commonly combined opioids with other sedating drugs.
The pattern across hospitals pointed to system causes rather than individual failures. The hospitals with the highest rescue rates had the most permissive order sets and the least continuous monitoring, and all five lacked a shared definition of the steps expected of a nurse once a patient grew steadily harder to rouse.
The Aim
The initiative's aim is to reduce naloxone rescues for opioid oversedation on adult medical and surgical units across all five hospitals by 50%, from 2.1 to 1.05 per 1,000 patients receiving opioids, within 18 months, with no increase in patient-reported uncontrolled pain. The aim sets a number and a deadline, and its final clause names the balancing concern that makes clinicians wary of such initiatives.
The Driver Diagram
A driver diagram displays the team's theory of how the aim will be achieved. Primary drivers are the main factors that directly influence the outcome; secondary drivers are the components of each primary driver; and change ideas are specific interventions to test. The system's diagram has three primary drivers.
| Primary driver | Secondary drivers | Change ideas to test |
|---|---|---|
| Identify patients at high risk | Risk factors assessed on admission and after surgery; risk visible to all clinicians | Electronic risk screen with sleep apnea, opioid naivety, age and sedating co-medications; risk flag on the patient banner |
| Detect advancing sedation early | Validated sedation scale used consistently; monitoring matched to risk | Pasero Opioid-Induced Sedation Scale with every reassessment; continuous capnography or pulse oximetry for high-risk patients |
| Prescribe and respond safely | Opioid dosing and combinations reviewed; clear action at each sedation level | Order set limiting concurrent sedatives; pharmacist review of high-risk orders; hold-and-escalate protocol at sedation level 3 |
Each change idea rests on evidence or professional guidance. Revised national nursing guidelines on watching patients for sedation and breathing problems caused by opioids state that every patient receiving opioids for acute pain is at risk, that risk should be assessed using patient-specific, treatment-related and environment-of-care factors, and that monitoring should be matched to risk, including electronic monitoring for patients at high risk (Jungquist et al., 2020). The Pasero scale was developed to give nurses a clear, actionable way to assess sedation during opioid therapy, with defined levels and responses, including holding opioids and increasing monitoring when patients are frequently drowsy and drift off during conversation (Pasero, 2009).
Testing Across Sites
The driver diagram lets each hospital begin where it has the most to gain. The hospital with the highest rescue rate starts with the sedation scale and hold-and-escalate protocol on two surgical units, testing them in small cycles of change before spreading. Another hospital, where continuous monitoring equipment is already available, tests risk-matched monitoring. The system pharmacy leads the order set change for all hospitals at once, since order sets are shared. Monthly system meetings compare results and move successful changes from one site to the next.
Nursing leadership is central to each test. Unit nurse managers and charge nurses select the first patients for each cycle, audit a sample of sedation scores each week and bring nurses' feedback to the system meeting. Early cycles at the first hospital found, for example, that nurses scored sedation reliably when the scale was embedded in the pain reassessment screen, but skipped it when it sat on a separate flowsheet, so the electronic record was changed before spread.
Measures
The initiative uses a family of measures. The outcome measure is naloxone rescues per 1,000 patients receiving opioids, plotted monthly on a control chart for each hospital and the system. Process measures include the percentage of opioid reassessments with a documented sedation scale score, the percentage of high-risk patients on continuous monitoring, and the percentage of orders combining opioids with other sedatives. Balancing measures include patient-reported uncontrolled pain on the experience survey, rapid response calls and nurse-reported alarm burden. The balancing measures guard against two predictable unintended effects: undertreated pain and alarm fatigue from monitoring.
Data collection is designed to be light. Rescue events come from the pharmacy's naloxone dispensing records, sedation scoring from the electronic record, and monitoring use from device logs, so that nurses are not asked to collect data by hand.
Conclusion
Opioid-induced oversedation is common enough, serious enough and preventable enough to warrant a system-wide initiative. A clear aim, a driver diagram grounded in evidence and guidelines, and a family of measures including balancing measures allow a system to pursue one goal while testing changes where each hospital needs them most. Because most patients show increasing sedation before a crisis, the initiative's central bet is that systematic sedation assessment, linked to risk-matched monitoring and a clear response, will turn a warning sign into an intervention.
References
Jungquist, C. R., Quinlan-Colwell, A., Vallerand, A., Carlisle, H. L., Cooney, M., Dempsey, S. J., Dunwoody, D., Maly, A., Meloche, K., Meyers, A., Sawyer, J., Singh, N., Sullivan, D., Watson, C., & Polomano, R. C. (2020). American Society for Pain Management Nursing guidelines on monitoring for opioid-induced advancing sedation and respiratory depression: Revisions. Pain Management Nursing, 21(1), 7-25. https://doi.org/10.1016/j.pmn.2019.06.007
Lee, L. A., Caplan, R. A., Stephens, L. S., Posner, K. L., Terman, G. W., Voepel-Lewis, T., & Domino, K. B. (2015). Postoperative opioid-induced respiratory depression: A closed claims analysis. Anesthesiology, 122(3), 659-665. https://doi.org/10.1097/ALN.0000000000000564
Pasero, C. (2009). Assessment of sedation during opioid administration for pain management. Journal of PeriAnesthesia Nursing, 24(3), 186-190. https://doi.org/10.1016/j.jopan.2009.03.005
DNP 805 Module 5 instructions, in plain terms
The Aspen classroom holds the actual DNP 805 prompt, so this sample follows the course description on implementing quality improvement and leading better outcomes and safety. A Module 5 paper of this kind often asks you to choose a system-level problem, write a specific aim, and lay out how the change will be tested and measured. Look for a named method, such as the Model for Improvement, and any requirement to include a driver diagram, a PDSA plan or a measurement table. Some instructors ask for baseline data from your own organization; others accept composite figures if they are labeled. Confirm the length and the required sources before drafting.
How this DNP 805 Module 5 example is built
This example runs about 1,060 words. It opens with the problem, pairing national closed-claims findings with the system's own rescue rate and its variation between hospitals. The aim section states one sentence with a number, a population and a deadline. The driver diagram section places the aim, three primary drivers and their change ideas in a table, so the theory of improvement can be read at a glance. Testing across sites explains which hospital starts first and why, and how learning passes to the others. The measures section names one outcome measure, several process measures and a balancing measure for undertreated pain. The conclusion restates the aim and the hypothesis being tested.
Where the marks sit in the DNP 805 Module 5 rubric
Content points on a paper like this come from whether the aim is specific, the change ideas follow from the causes, and the measures would show whether the change worked. The driver diagram carries a lot of that weight, and the margin notes explain how its rows tie back to the closed-claims findings. Adding a balancing measure is a detail graders notice, because it shows the leader has thought about harm from the change itself. Organization is handled by moving from problem to aim to theory to testing to measures. Formatting points depend on a correctly labeled table in APA style, accurate in-text citations and a clean reference list.
DNP 805 Module 5 help: mistakes that cost marks
The most common error is an aim that cannot be measured, such as improving safety or reducing harm without a number or a date. Write the aim so anyone could check it. Students also build driver diagrams that list activities rather than drivers, which breaks the logic from cause to change. Put causes in the driver column and actions in the change idea column. Another mistake is forgetting balancing measures; opioid safety work in particular can push clinicians toward undertreating pain. Papers also skip the testing plan and describe a system-wide launch on day one. Start small, test at one site, and explain how the results will spread. Finally, label any composite numbers as illustrative so the reader never mistakes them for real system data.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official Aspen 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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DNP 805 Module 5 questions, answered
What does DNP 805 Module 5 usually ask for?
Aspen's DNP 805 description centers on implementing quality improvement in health care organizations, so a system quality initiative with an aim, a driver diagram and measures is a typical assignment. Check your classroom for the prompt.
What is a driver diagram?
A visual theory of improvement linking an aim to primary drivers that directly influence it, secondary drivers that make them up, and specific change ideas to test.
Why include balancing measures?
To detect unintended harm from the changes, such as undertreated pain or alarm fatigue in an oversedation initiative, so that improvement in one area does not create problems in another.
Where can I find a free DNP 805 Module 5 sample paper?
This page. It carries the whole paper, a system quality initiative against opioid oversedation built on a driver diagram, with its title page, table, references and margin notes, free to read. If you want one fitted to your own prompt, send a request through the form.
Do I need a driver diagram in DNP 805 Module 5?
Only if your prompt asks for one, but it is a strong way to show your theory of improvement. This example uses a table version with the aim, three primary drivers and the change ideas for each, which fits inside an APA paper.