NSG/557 Week 3: Tracing a Problem to Its System Causes, sample paper

Reviewed by Lenora Whitcombe, MSN, RN · University of Phoenix

This page holds a complete NSG/557 Week 3 sample systems analysis, in true APA form. It traces the declining census of a composite community hospital's pediatric unit to its system causes, drawing two reinforcing loops and one balancing loop in text form, supporting each link with the hospital's own data and showing which points in the system a change could act on.

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Why the Beds Emptied: A Causal Loop Analysis of Falling Pediatric Volume, Fading Confidence and Transfers at a Community Hospital

[Student Name]

University of Phoenix

NSG/557: Organizational Dynamics and Systems Thinking

Week 3 Assignment

[Instructor Name]

[Date]

The hospital, its data and all figures are a composite written for a model paper.

What this part is doingThe title names the three variables at the heart of the loops. The reader expects each link supported by data.
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Ten years ago the pediatric unit held more than seven children on an average night; last year it held about three. The finance committee has proposed closing it. Before the organization decides, this paper asks why the beds emptied. A systems analysis traces the decline to interacting causes, some outside the hospital's control and some created by its own earlier decisions.

External Drivers

Some causes are outside the hospital. Pediatric hospitalizations for common conditions such as asthma and bronchiolitis have fallen with better outpatient care, and national data show that pediatric inpatient units and beds declined substantially over the past decade, especially in rural areas (Cushing et al., 2021). Regional children's hospitals have expanded, including a satellite emergency department 30 miles from our hospital. These drivers explain part of the decline but not all of it.

Loop 1: Volume, Experience and Confidence

The first reinforcing loop links volume, nursing experience and physician confidence. As pediatric volume fell, nurses on the unit cared for fewer acutely ill children; the unit's high-acuity patient days fell by half over five years. With less exposure, several experienced pediatric nurses left for the children's hospital, and new hires had less opportunity to build skill. Community pediatricians noticed and, in interviews, described being "less comfortable admitting the sicker kids here." They increasingly sent sicker children directly to the children's hospital, which further reduced volume and acuity. Each decision was reasonable on its own, and together they drained the unit of exactly the patients who keep a pediatric team skilled.

Data supporting the loop: pediatric nursing turnover rose from 8% to 21% over five years; direct transfers from the pediatricians' offices to the children's hospital, bypassing our emergency department, more than doubled; and the share of pediatric admissions with an intensive level of care fell from 22% to 9%.

Loop 2: Transfers From the Emergency Department

The second reinforcing loop runs through the emergency department. When the pediatric unit's staffing was thin on some nights, the emergency department transferred children who could have been admitted locally. Each transfer took the emergency physician and nurse away from other patients for coordination, reinforcing a habit of transferring early rather than negotiating an admission. Transfers from the emergency department rose from 18% of pediatric patients needing admission to 41% over five years.

What this part is doingEach loop is described link by link and supported by data. The highlighted sentence explains why a reinforcing loop is hard to see from inside.
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Loop 3: A Balancing Loop in the Region

A third loop balances the others. As more children were transferred, the children's hospital's inpatient units filled, especially in winter, and it began asking community hospitals to keep children who could be safely cared for locally. During last winter's respiratory season, the children's hospital declined 14 transfer requests from our hospital because it had no beds, and those children were admitted to our unit. This loop pushes back against the decline, but only when the children's hospital is full, which is unpredictable.

Unintended Consequences of a Quick Fix

The obvious fix, closing the unit, would end Loop 1 by removing the unit, but it would strengthen Loop 2 by making every pediatric admission a transfer and would weaken the balancing loop, since the children's hospital could no longer rely on our beds during surges. The systems view predicts consequences the finance proposal does not include: more pediatric boarding in our emergency department while transfers are arranged, greater strain on the children's hospital in winter and loss of pediatric nursing expertise that the emergency department and maternity unit depend on. Plsek and Greenhalgh (2001) caution that in complex systems, interventions often produce effects in places no one was watching.

Points of Greatest Influence

The analysis identifies three points of greatest influence. First, pediatric nursing competence: if the hospital keeps some pediatric capability, investing in the skill of a smaller team, for example through rotation with the children's hospital, could interrupt Loop 1. Second, the transfer decision process: clear criteria for which children stay and which transfer, agreed with the children's hospital, could interrupt Loop 2. Third, the regional relationship: a formal partnership in which the community hospital cares for lower-acuity children, especially during surges, could strengthen the balancing loop.

Structure Produces Behavior

Senge (2006) holds that feedback loops and delays, the architecture of a system, tend to produce the same behavior whoever is in it. The loops identified here would keep draining the unit even if every nurse and physician were replaced, because each actor responds sensibly to what they see. That is why exhortation, such as asking pediatricians to admit more locally, is unlikely to work unless the structure changes.

Delays in the System

The loops also contain delays. Nurse turnover lagged the fall in acuity by about two years, and pediatricians' referral habits changed gradually. Delays make systems hard to manage because the effects of a change appear long after it, which is why the hospital should expect the consequences of any decision about the unit to unfold over several years.

What the Analysis Means for the Decision

The analysis does not settle whether to close the unit, but it changes the options. A full closure without regional planning would push costs onto the emergency department, families and the children's hospital. A redesigned model, such as a smaller short-stay unit for lower-acuity children with a formal partnership and nurse rotation, could address the loops. If the unit closes, the emergency department's pediatric readiness and a strong transfer agreement become essential.

Testing the Analysis

The loops are hypotheses built from data and interviews, and they can be tested. If Loop 1 is right, the share of high-acuity pediatric admissions should keep falling as nursing turnover rises. If Loop 2 is right, transfers from the emergency department should be higher on nights with thin pediatric staffing. The quality department has agreed to examine both patterns in the coming months, which will strengthen or correct the analysis before the change is designed.

Sharing the Diagram

The causal loop diagram will be shown to the finance committee, the pediatricians and the pediatric nurses together. Seeing the same loops often helps groups with different mental models recognize that each is describing part of the same system, which makes a shared decision more likely than a debate between cost and care, and it gives everyone a common vocabulary, loops, delays and influence points, for the discussion that follows, and it keeps attention on causes rather than on blame.

Conclusion

The pediatric unit's empty beds come from external trends amplified by two reinforcing loops, falling volume and confidence and a growing habit of transfer, partly balanced by the children's hospital's capacity limits. A systems analysis shows that a quick closure would relieve one loop while strengthening another, and it points to three places, nursing competence, transfer criteria and regional partnership, where change could matter most. Week 4 will choose a change model for the decision the hospital makes.

What this part is doingThe conclusion summarizes the loops and high-influence points and connects to the next step. Every source cited in the paper appears in the reference list.
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References

Cushing, A. M., Bucholz, E. M., Chien, A. T., Rauch, D. A., & Michelson, K. A. (2021). Availability of pediatric inpatient services in the United States. Pediatrics, 148(1), Article e2020041723. https://doi.org/10.1542/peds.2020-041723

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

Senge, P. M. (2006). The fifth discipline: The art and practice of the learning organization (Rev. ed.). Doubleday.

How this NSG 557 Week 3 example is structured

The NSG/557 description includes systems management and the effect of change on health care delivery. This paper applies systems thinking in depth to one problem: it describes the causal loop diagram link by link, backs each link with data, identifies high-influence points and warns about the unintended consequences a quick fix could cause. Students search this week as NSG 557 Week 3, NSG557 Wk 3 or NSG/557 Wk 3; all three are the same assignment.

NSG/557 Week 3 questions, answered

What does NSG/557 Week 3 usually ask for?

Many sections ask students to trace a persistent organizational problem to its system causes, often with a diagram, and identify where a change could have the most effect.

What is a causal loop diagram?

A diagram of variables connected by arrows showing how a change in one affects another. Loops that amplify change are reinforcing; loops that counteract it are balancing.

What is a high-influence point in a system?

A place in a system where a small change can produce a large effect, often by interrupting or reversing a reinforcing loop.

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