NUR 8320 Module 4 Systems Thinking Paper: Complexity Science, Feedback Loops and a Rapid Response System Example

The Same Event Four Times: Applying Systems Thinking and Complexity Science to Late Rescue at a Livingston Hospital

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Doctor of Nursing Practice, Thomas Edison State University

NUR-8320: Organizational and Systems Leadership I

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Month Day, Year

The Same Event Four Times: Applying Systems Thinking and Complexity Science to Late Rescue at a Livingston Hospital

A Problem That Will Not Stay Fixed

The 340-bed Livingston teaching hospital in this paper is made up for teaching. In the past two years, four ward patients had cardiac arrests after hours of documented warning signs, such as rising breathing rates and falling blood pressure, without a rapid response call. Each event led to a root cause analysis, and each analysis led to a fix: education for the nurses involved, a new policy, a reminder poster. Yet the pattern repeated. The DNP-prepared director of critical care and resuscitation was asked to look at the problem differently.

The four root cause analyses read almost the same. Each named a nurse who did not escalate, a resident who did not reassess and a policy that was not followed. Each recommended education. None asked why experienced staff on different units, years apart, made the same choice. When the director placed the four reports side by side, the repetition itself became the most important finding, because a system that produces the same failure with different people is telling its leaders that the cause lies in the system.

Care as an Adaptive System

Plsek and Greenhalgh (2001) argued that health care behaves as a complex adaptive system: a collection of individual agents, such as nurses, physicians and patients, who act in ways not fully predictable and whose actions are connected, so that whatever one agent does alters the conditions others face. Within systems like these, behavior emerges from interactions and from simple internal rules people follow, not from detailed plans imposed from above. Small changes can have large effects, and large efforts can have small ones. They argued that leaders should use simple rules, attend to relationships and patterns and accept that some uncertainty cannot be removed.

Applied to late rescue, this view explains why fixes aimed at individuals failed. The nurses who did not call were following unwritten rules learned on their units: do not call the rapid response team unless certain, check with the charge nurse first, avoid annoying the resident at night. Those rules made sense to them in a system where calls sometimes led to criticism. Education did not change the rules.

How Change Spreads in Complex Systems

Braithwaite et al. (2018) analyzed how change happens in health systems through the lens of complexity science and implementation science, using two Australian examples. One was largely top-down, applying new national standards across the country; the other was largely bottom-up, the adoption of medical emergency teams by more than 200 hospitals. They drew four lessons: change can be stimulated in many ways but needs a triggering mechanism, such as legislation or wide agreement among stakeholders; momentum lasts only where feedback loops keep running; change takes much longer than leaders expect; and an approach that respects existing networks and the way people and technology work together is more likely to succeed.

Best et al. (2012) conducted a realist review of large-system transformation in health care and identified five simple rules likely to improve success: blend designated leadership with distributed leadership, establish feedback loops, attend to history, engage physicians and include patients and families.

Mapping the System

Before redesigning, the director maps the system with staff from four wards. The map shows several feedback loops. A reinforcing loop discourages calls: a nurse calls, the team arrives and the patient seems stable, the resident remarks that the call was unnecessary, and the nurse and her colleagues become less likely to call next time. A balancing loop is missing: callers never learn whether their call made a difference. Night staffing and a vital signs schedule every eight hours on many wards limit how often deterioration is noticed.

The Redesign

The redesign changes simple rules, feedback loops and structure. The new simple rule, agreed with nurses and residents, is "worried or criteria met, call." Residents commit publicly that they will never criticize a call, and the chief medical officer reinforces it. The rapid response team sends a short note to every caller within 24 hours describing what happened and thanking them, closing the missing feedback loop. Ward vital signs move to every four hours for patients with early warning scores above a threshold, with electronic alerts to the charge nurse. On admission, each family learns how to summon the team directly whenever they feel uneasy. The hospital's history is acknowledged openly at staff meetings: leaders say that past criticism of callers was wrong.

The change is introduced in a way that respects how the hospital actually works. Rather than issuing a new policy from above, the director asks the four wards that had the events to test the new rule first, with the residents who cover them. Nurses on those wards help write the note sent back to callers, so it sounds like a colleague rather than an audit. After three months, the wards share their results at a hospital-wide meeting, and other wards ask to join, a spread that follows the bottom-up pattern described in the Australian analysis.

Measures

The hospital will track rapid response calls per 1,000 admissions, a measure expected to rise, cardiac arrests outside the intensive care unit, unplanned transfers to intensive care, deaths after rapid response calls and staff survey items on comfort calling. Because change takes longer than expected, results are reviewed quarterly for at least three years.

Conclusion

Late rescue at this hospital recurred because fixes aimed at individuals left the system's unwritten rules and missing feedback loops in place. Complexity science explains why, analyses of large-system change offer simple rules and the importance of feedback, and the redesign changes the rule nurses follow, closes the feedback loop, changes vital sign frequency and invites families to call, with measures over years.

References

Best, A., Greenhalgh, T., Lewis, S., Saul, J. E., Carroll, S., & Bitz, J. (2012). Large-system transformation in health care: A realist review. The Milbank Quarterly, 90(3), 421-456. https://doi.org/10.1111/j.1468-0009.2012.00670.x

Braithwaite, J., Churruca, K., Long, J. C., Ellis, L. A., & Herkes, J. (2018). When complexity science meets implementation science: A theoretical and empirical analysis of systems change. BMC Medicine, 16, Article 63. https://doi.org/10.1186/s12916-018-1057-z

Plsek, P. E., & Greenhalgh, T. (2001). The challenge of complexity in health care. BMJ, 323(7313), 625-628. https://doi.org/10.1136/bmj.323.7313.625