NUR 683 Module 6 Just Culture Paper Example

After the Written Warning: Building a Just Culture Around Medication Errors on a Telemetry Unit

[Student Name]

Southern New Hampshire University

NUR 683: Patient Safety and Quality Capstone

Module Six Just Culture Paper

[Instructor Name]

[Date]

After the Written Warning: Building a Just Culture Around Medication Errors on a Telemetry Unit

Two months before the capstone began, a nurse on the Ridgeview telemetry floor gave a patient ten units of insulin instead of four. Observation later showed she had been interrupted three times while preparing the dose. She reported the error herself, the patient needed extra glucose checks but was not harmed and she received a written warning. In the following quarter, medication error reports on the unit fell by half. No one believes errors fell by half. This paper examines why blame suppresses reporting, what a just culture offers instead and how the capstone will change the unit's response to errors so that the interruption bundle can be evaluated honestly.

Why Blame Persists

Khatri et al. (2009) argue that blame cultures in health care are not simply attitudes held by individual managers but the product of how organizations manage people. Hierarchical structures, rigid rules and control through monitoring and sanctions push staff to hide mistakes and discourage the open discussion needed to fix systems. The authors contend that moving toward a just culture requires management practices built on commitment rather than compliance: involving staff in decisions, investing in their development and treating errors as information about the system.

This analysis fits the unit. The written warning followed a policy that required disciplinary review for any error involving a high-alert medication, regardless of circumstances. The policy was designed to signal seriousness, but its message to staff was that reporting a high-alert error would bring punishment. The unit's managers did not intend to create fear; the policy did it for them.

Psychological Safety and Learning

Working with dozens of teams inside a single office-furniture manufacturer, Edmondson (1999) measured how far members trusted that owning up to a mistake or asking a naive question would not be used against them. Where that shared belief was strong, teams spent more effort on learning activities, like asking for input, testing assumptions and talking through what went wrong, and those learning habits went along with stronger results. Her earlier observations in hospitals had produced a puzzling result: better units appeared to make more errors, which she came to interpret as better units reporting more.

The insight transfers directly to medication safety. A unit where nurses feel safe will report more errors, and a rise in reports after a just culture program may reflect honesty rather than decline. For the capstone, this means incident reports cannot serve as an outcome measure during the project, which reinforces the decision to measure errors by direct observation.

Reporting as a Safety System

Reason (2000) argued that organizations with strong safety records share a preoccupation with failure and depend on people reporting errors and near misses. Without reports, the latent conditions that set up the next error remain invisible. He also stressed that an effective reporting culture needs trust and a clear line between acceptable and unacceptable actions, since a completely blame-free system would be neither credible nor fair. That balance is the core of just culture: people are not punished for honest errors made within a flawed system, but reckless disregard for safety still carries consequences.

A Fair Response Algorithm

The capstone proposes replacing the unit's automatic disciplinary review with a response algorithm that sorts events into three categories. Human error, an inadvertent slip or lapse, is met with consolation and a system review. At-risk behavior, a choice whose risk the person did not recognize or believed justified, such as scanning at the doorway because the scanner was out of reach, is met with coaching and removal of the incentives for the shortcut. Reckless behavior, knowingly ignoring a serious danger that nothing could justify, is met with remedial or disciplinary action. Before any category is assigned, reviewers ask whether another nurse with similar training, placed in the same situation, might have done the same thing.

Applied to the insulin case, the nurse's error was human error made in a system full of interruptions, and the appropriate response would have been support for her and a review of the conditions. Table 1 shows how the algorithm would apply to common events on the unit.

Table 1. Response Algorithm Applied to Unit Events

Note. Categories follow common just culture definitions.

Changing the Event Review

The unit's event review will change in three ways. First, the high-alert medication policy will be revised so that disciplinary review is triggered by the algorithm, not by the drug involved. Second, event reviews will include the nurse involved as a participant who describes conditions, not a subject who defends herself. Third, each review will end with at least one system change or a documented reason why none is needed, and results will be shared at huddles without names. The nurse manager and the director of pharmacy have agreed to pilot the approach for six months, and the nurse whose case opened this paper has volunteered to help lead the first reviews.

Measuring Culture

Culture can be measured. The capstone will survey staff at baseline and six months with four items adapted from widely used safety culture surveys, asking whether staff believe a mistake will follow them, whether they feel free to question those with more authority, whether they are told about changes made after reports and whether they worry that errors will be kept in their personnel files. Report volume and the share of reports that are near misses will also be tracked, with the expectation that both will rise if trust improves.

Conclusion

The insulin error showed that the unit's response to mistakes was undermining the reporting it depends on. A just culture algorithm, a revised event review and measurement of staff trust will support the capstone's interruption bundle by making errors visible and discussable rather than hidden.

References

Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350-383. https://doi.org/10.2307/2666999

Khatri, N., Brown, G. D., & Hicks, L. L. (2009). From a blame culture to a just culture in health care. Health Care Management Review, 34(4), 312-322. https://doi.org/10.1097/HMR.0b013e3181a3b709

Reason, J. (2000). Human error: Models and management. BMJ, 320(7237), 768-770. https://doi.org/10.1136/bmj.320.7237.768