- Examine root causes behind a nursing medication overdose and propose targeted safety fixes.
- Analyze communication lapses in shift handovers that trigger opioid errors.
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Elaborate on SBAR tools reshaping nursing fatigue management.
NURS4035 Assignment – Sample Plan;
Root-Cause Analysis and Safety Improvement Plan
Completed by: C K
Organization: School of Nursing and Health Sciences, Capella University Department:
NURS4035: Improving Quality of Care and Patient Safety
Reported to: Dr. E R
Date Completed by: September 12, 2025
Understanding What Happened
A 65-year-old man recovering from appendectomy received twice the prescribed dose of morphine shortly after a shift change. The evening nurse, juggling multiple patients, pulled the syringe based on a hurried verbal handover from the day shift. Within 20 minutes, his oxygen saturation dropped below 85 percent; he grew unresponsive and required emergency intubation plus naloxone reversal. Although he stabilized after two days in ICU, the episode left him with lingering anxiety about hospital care. For the nursing team, it sparked immediate debriefs laced with self-doubt—nurses later admitted replaying the moment during quieter shifts.
Fatigue crept in because the evening nurse had just finished a 12-hour stretch, her focus frayed by back-to-back admissions. Moreover, the ward’s layout funneled handovers into a noisy station cluttered with charts and monitors, where distractions from beeping IV pumps drowned out key details. In some ways, this mirrored broader pressures: a unit running at 80 percent staffing, forcing overtime that erodes vigilance over time. Cultural assumptions about “toughing it out” during shortages only amplified the strain, as one senior nurse put it during the investigation.
Protocols called for a second nurse to verify high-alert medications like opioids, yet that step vanished amid the rush. Documentation suffered too; the handover log captured the order as “morphine prn pain,” omitting the exact milligram limit, while the electronic health record showed the surgeon’s script as 5 mg IV every four hours—clear if anyone had paused to cross-check. To be fair, the day-shift nurse flagged high pain scores but skipped the full read-back, assuming the evening team knew the drill.
The evening nurse bore the direct load, a mid-career RN with solid credentials but recent maternity leave. Her supervisor, alerted post-event, had approved the extended shift earlier that week. No physician rounded in that window, leaving the floor to self-manage. Interdisciplinary gaps showed up starkly: pharmacy dispensed without barcode scan confirmation, and the surgeon’s note buried the dose under routine post-op boilerplate. Patient-provider exchanges faltered when the man, groggy from surgery, couldn’t confirm details himself.
Physical bottlenecks mattered—a single med room for 24 beds meant elbow-to-elbow prep, with no dedicated verification alcove. Staffing hovered at seven nurses for the shift, below the ideal nine, so vital checks lagged. Training records confirmed the evening nurse’s competency quiz passed six months prior, although opioid-specific refreshers had lapsed for the unit. Policies existed on paper, mandating double-checks, but enforcement relied on informal nudges rather than audits, leaving ambiguities about what constituted a “high-risk” handoff.
Monitoring slipped because respiratory alarms, tuned low to curb fatigue, went unnoticed amid the din; a post-administration vital set waited 15 minutes too long. Thus, early hypoxia signs—subtle yawns turning labored—escaped notice until a passing aide raised the alarm.
From this, clearer handover rituals emerge as vital, alongside tech aids like scanned wristbands to flag dose mismatches. Quality loops could tighten through monthly drills, turning near-misses into teachable friction. Risks shrink when education pairs with real-time feedback, fostering a culture where errors prompt curiosity, not blame. Open channels for reporting, anonymized if needed, build trust that lessons stick.
Root Cause(s) to the Issue or Sentinel Event
Investigations pinpoint three core drivers behind the overdose, each tied to layered vulnerabilities. First, fragmented handover communication sowed the seed—verbal relays garbled the dose amid noise and haste, a human factor in messaging that cascades into action gaps. Second, prolonged shifts bred fatigue, dulling the nurse’s edge for protocol adherence; data from similar wards show error rates climb 25 percent after 10 hours on duty. Third, lax enforcement of verification rules allowed the solo pull, rooted in procedural drift where policies gather dust without oversight.
Contributing threads weave in: the ward’s cramped setup hindered focused checks, an environmental snag that amplifies human slips. Barriers like absent audit trails further muddied accountability.
| Root Cause | Description | HF-C | HF-T | HF-F/S | E | R | B |
|---|---|---|---|---|---|---|---|
| 1 | Handover communication failure | X | |||||
| 2 | Shift-induced fatigue | X | |||||
| 3 | Unenforced double-check procedure | X |
HF-C = Human Factor-communication; HF-T = Human Factor-training; HF-F/S = Human Factor-fatigue/scheduling; E = environment/equipment; R = rules/policies/procedures; B = barriers
Application of Evidence-Based Strategies
Literature underscores how communication lapses in nursing handovers fuel up to 30 percent of medication discrepancies, often through omitted details like precise dosing. For instance, qualitative probes reveal that rushed verbal exchanges prioritize speed over accuracy, echoing the opioid mix-up here. Fatigue compounds this; studies tracking night shifts link extended hours to a 41 percent uptick in administration errors, as cognitive load peaks and error detection falters. Procedural weaknesses follow suit—without mandated verifications, solo tasks invite oversight, particularly for narcotics where miscalculations risk respiratory fallout.
Conversely, targeted fixes show promise. Structured tools like SBAR (Situation-Background-Assessment-Recommendation) cut handover errors by 22 percent in controlled trials, by enforcing read-backs and documentation. Double-check mandates, when audited, slash high-alert mishaps by half, as one scoping review of 50 studies affirms; nurses report fewer interruptions when paired verification becomes routine. Intern-focused analyses further highlight simulation drills, which boost procedural recall and reduce anxiety-driven slips by 35 percent post-training.
In this case, SBAR could overlay the evening handover, prompting explicit dose recitation and electronic logging to bridge shifts. For fatigue, capping hours at 10 per day, coupled with mandatory breaks, aligns with evidence that shorter rotations preserve alertness without inflating payroll. Procedural tweaks might embed barcode scans into every opioid draw, flagging variances before injection—thus closing the verification loop that policy alone couldn’t. Although implementation demands upfront buy-in, these layers address the event’s threads without overhauling the unit overnight.
Safety Improvement Plan
Future steps target each root and contributor, favoring controls over mere acceptance to embed lasting change.
| Action Plan | One for each Root Cause/Contributing Factor from above | E / C / A |
|---|---|---|
| 1 | Roll out SBAR handover protocol with weekly coaching sessions | C |
| 2 | Revise scheduling to limit shifts to 10 hours maximum, with fatigue risk assessments | C |
| 3 | Institute mandatory double-checks for opioids, tracked via EHR audits | C |
| (Contributor) | Redesign med room with partitioned verification zones | E |
New processes include barcode-enabled med carts, synced to patient wristbands for real-time dose alerts, plus quarterly simulations replaying handover scenarios. Professional development ramps up through peer-led workshops on fatigue management, drawing from sleep hygiene modules tailored for shift workers.
Goals center on slashing medication variances by 30 percent unit-wide, measured against baseline audits, while boosting staff reporting rates to capture near-misses early. Desired outcomes encompass fewer sentinel echoes—no repeat overdoses in the first year—and heightened team confidence, gauged by anonymous surveys showing 20 percent gains in perceived safety nets. Development wraps in four weeks, with piloting over the next month; full rollout hits by week eight, followed by evaluations at three and six months to tweak as needed.
Existing Organizational Resources
The unit’s simulation lab stands ready for handover drills, already equipped with mock carts and actors for realistic fatigue scenarios—no fresh outlay required there. Electronic health records offer built-in audit trails, expandable for double-check logs with minimal IT tweaks. Leverage the quality committee’s monthly slots for SBAR rollouts, tapping nurse educators who handle annual competencies. For barcode integration, pharmacy’s existing scanners could extend to the floor, pending a quick compatibility check. Gaps might call for two extra part-time floats to ease scheduling, sourced from the hospital’s float pool budget.
References
Al Mutair, A. et al., 2021. The effective strategies to avoid medication errors and improving reporting systems. Medicines, 8(9), p.46. doi: 10.3390/medicines8090046.
Coelho, F. et al., 2024. Predisposing factors to medication errors by nurses and prevention strategies: A scoping review of recent literature. Nursing Reports, 14(3), pp.1553-1569. doi: 10.3390/nursrep14030117.
Heydarikhayat, N. et al., 2024. Strategies to prevent medical errors by nursing interns: a qualitative content analysis. BMC Nursing, 23(48). doi: 10.1186/s12912-024-01726-1.
Jin, H. et al., 2023. How do medication errors occur in the nursing communication process? Investigating the relationship between error types and error factors. Work, 74(1), pp.327-339. doi: 10.3233/WOR-211221.
Root-Cause Analysis and Safety Improvement Plan
Completed by: (Student Name)
Organization: School of Nursing and Health Sciences, Capella University
Department: NURS4035: Improving Quality of Care and Patient Safety
Reported to: (Instructor Name)
Date Completed by: (Date)
This template is provided as an aid in organizing the steps in a root-cause analysis. Not all possibilities and questions will apply in every case, and there may be others that will emerge in the course of the analysis. However, all possibilities and questions should be fully considered in your quest for “root cause” and risk reduction.
A sentinel event is a patient safety event that occurs unexpectedly and is not primarily related to the natural course of the patient’s illness or underlying condition.
These events are debilitating not only for patients but also for the health care providers involved. The goal is to learn from these incidents, improve systems, and prevent further harm to patients
Remember, a thorough root-cause analysis aims to uncover both immediate causes and underlying systemic issues to prevent similar events in the future.
| Understanding What Happened | |
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Root Cause(s) to the issue or sentinel event?
Upon completion of the analysis above, please explicitly state one or more root causes that led to the issue or sentinel event. Please refer to the factors discussed above and categorize each root cause by choosing all that apply.
| Root Cause – the most basic reason that the situation occurred | Contributing Factors – additional reason(s) that clearly made a situation turn out less than ideal | HFC | HF T | HF
F/S |
E | R | B | |
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HF-C = Human Factor-communication HF-T = Human Factor-training HF-F/S = Human Factor-fatigue/scheduling
E= environment/equipment R= rules/policies/procedures B=barriers
Application of Evidence-Based Strategies
Identify evidence-based best practice strategies to address the safety issue or sentinel event.
| (Describe what the literature states about the factors that lead to the safety issue)
(For example, interruptions during medication administration increase the risk of medication errors by specifically stated data.) |
Explain how the strategies could be applied in the safety issues or sentinel events you have identified.
Safety Improvement Plan
List any future actions needed to prevent reoccurrence.
| Action Plan
One for each Root Cause/Contributing Factor from above |
E / C / A
Choose one |
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| 2 | ||
| 3 | ||
E = eliminate (i.e. piece of equip is removed, fixed or replaced.)
C = control (i.e. additional step/warning is added or staff is educated/re-educated)
A = accept (i.e. formal or informal discussions of “don’t let it happen again” or “pay better attention” but nothing else will change and the risk is accepted)
Describe any new processes or policies and/or professional development that will be undertaken to address the root cause(s).
Provide a description of the goals or desired outcomes of the actions listed above, along with a rough timeline of development and implementation for the plan.
Existing Organizational Resources
Identify resources that may need to be obtained for the success of the safety improvement plan. Consider what existing resources may be leveraged to enhance the improvement plan.
References:
