NU708 Unit 2 System Map Analysis Example

The Loop That Fills Its Own Beds: A Unit 2 System Map Analysis of Late Discharges and Insulin Readmissions

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Purdue University Global

NU708: Advanced Systems Leadership: Transforming the Health Care Organization

Unit 2 System Map Analysis

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The hospital, its departments and its figures are composite and illustrative; the studies cited are real.

The Problem in System Terms

The insulin discharge project began on two medical-surgical units with a simple question: why do about one in seven patients starting insulin return within 30 days? The Unit 1 post traced the pattern to late discharges, Thursday and Friday departures and a gap before the outpatient class. This analysis asks how those patterns are produced and kept in place across departments that rarely see each other's data: the emergency department, bed management, hospital medicine, pharmacy, nursing and outpatient diabetes education.

Sterman (2006) argues that people in complex systems learn poorly from experience because feedback is delayed, effects appear far from their causes and each decision maker holds one fragment of the picture. Each department here sees a piece. The emergency department sees boarding, bed management sees occupancy, hospitalists see length of stay and nursing sees rushed teaching. Nobody sees the loop.

The Reinforcing Loop: Pressure, Speed and Returns

The map begins in the emergency department. When patients board there waiting for beds, bed management raises pressure on the units, and the morning bed meeting asks each unit how many discharges it can produce before evening. Hospitalists respond by writing orders as soon as a patient is medically ready, often in the afternoon after admissions are seen. Nurses then compress discharge teaching into the time between the order and transport.

For most patients a fast discharge does no harm. For a patient starting insulin, compressed teaching raises the chance of a dosing error or of leaving without a filled prescription. Some of those patients return within days, many through the emergency department, adding to the boarding that started the loop.

The pressure to free beds today produces some of the patients who will need beds next week.

This is a reinforcing loop: more boarding leads to more pressure, more rushed discharges, more returns and more boarding. In the composite data, 31 returns a year from two units is a small share of emergency volume, but it is one of several similar loops, and the hospital has never added them up. Heart failure patients going home on new diuretic doses and patients leaving on anticoagulants likely follow the same path, which means the loop is larger than the insulin project can see on its own. The map also explains why each department's local fix has failed: the emergency department added a discharge lounge, hospital medicine added an afternoon discharge round, and each fix relieved pressure briefly before the loop restored it.

Two Balancing Loops

Two balancing loops push the other way. The first is the readmission penalty: when 30-day readmissions rise, quality and finance leaders notice and ask units for fixes, which can slow discharges for high-risk patients. Its weakness is delay. Readmission reports reach unit managers about three months after the discharges they describe, by which time the pressure on beds has changed.

The second is nurses' own judgment. When a nurse believes a patient is not ready, the nurse can ask the hospitalist to hold the discharge. This loop works patient by patient, but the bed meeting's expectations weaken it, and so does the fact that nobody has written down what ready means for a patient going home on insulin. Nurses therefore use it unevenly: one nurse on 6 West held three discharges in a month, while others on the same unit said they had never asked for a hold, even for patients who had not yet injected themselves once.

Delays That Hide the Loop

Three delays keep the system from correcting itself. The first is the gap between discharge and return, days to weeks, so the person who rushed a discharge rarely sees the result. The second is the quarterly readmission report. The third is the gap in timing between teaching and pens: pharmacy dispenses the patient's pen after the discharge order, so the patient often practices on a demonstration pen and sees his own for the first time at the door.

Evidence from discharge timing work shows why simple targets can backfire in such systems. A two-unit project that raised discharges before noon from 11 percent to an average of 38 percent also cut stays relative to what case mix predicted, from an index of 1.06 to 0.96, while readmissions moved from 14.3 to 13.1 percent, too small a shift to rule out chance (Wertheimer et al., 2014). At another academic center, however, discharge before noon was associated with slightly longer stays, which the authors suggested could reflect patients kept an extra night to meet the target (Rajkomar et al., 2016). A target placed on one variable in a loop can shift the problem rather than solve it.

Where a Leader Can Intervene

Meadows (2008) orders the places to intervene in a system by power: tinkering with parameters sits near the bottom of her list, while altering who receives which information, the rules people follow and the goals they pursue sit far higher. For a nurse leader without authority over the bed meeting, the useful question is which of the stronger places are reachable this year. Three are.

The first is information flow. A monthly report that shows the bed meeting how many returns came from rushed discharges on new insulin would shorten the longest delay in the system and make the reinforcing loop visible to the people who drive it.

The second is a rule. A readiness standard for patients starting insulin, a completed return demonstration with the patient's own pen and a filled prescription, would give nurses' judgment a shared basis and strengthen the second balancing loop.

The third is timing. Dispensing the pen when insulin is started, not when the patient leaves, removes a delay entirely and lets teaching begin days before discharge. It also takes pressure off the final hour without slowing the discharge itself.

A weaker intervention, adding a target for discharge before noon, is set aside, because the evidence suggests it could lengthen stays without addressing the loop.

Conclusion

The insulin returns on two units are produced by a reinforcing loop linking emergency boarding, bed pressure, rushed discharges and returns, held in place by delays that keep each department from seeing the whole. The most promising places to intervene are a monthly report that closes the information gap, a readiness rule for patients on new insulin and earlier pen dispensing. Each changes the structure rather than asking individuals to try harder.

References

Meadows, D. H. (2008). Thinking in systems: A primer (D. Wright, Ed.). Chelsea Green Publishing.

Rajkomar, A., Valencia, V., Novelero, M., Mourad, M., & Auerbach, A. (2016). The association between discharge before noon and length of stay in medical and surgical patients. Journal of Hospital Medicine, 11(12), 859-861. https://doi.org/10.1002/jhm.2529

Sterman, J. D. (2006). Learning from evidence in a complex world. American Journal of Public Health, 96(3), 505-514. https://doi.org/10.2105/AJPH.2005.066043

Wertheimer, B., Jacobs, R. E. A., Bailey, M., Holstein, S., Chatfield, S., Ohta, B., Horrocks, A., & Hochman, K. (2014). Discharge before noon: An achievable hospital goal. Journal of Hospital Medicine, 9(4), 210-214. https://doi.org/10.1002/jhm.2154