NR 562 Week 4 Feedback Loop Write-Up Example

Feedback Loop Write-Up: The 30-Day Heart Failure Readmission Rate Fell While Total Returns to Hospital Care Rose, and the Reinforcing Loop That Kept Them Apart

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College of Nursing, Chamberlain University

NR 562: Leadership and Management within Complex Healthcare Systems

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Month Day, Year

Feedback Loop Write-Up: The 30-Day Heart Failure Readmission Rate Fell While Total Returns to Hospital Care Rose, and the Reinforcing Loop That Kept Them Apart

A Measure and Its Subject Moving Apart

Between July and December 2025, the 30-day heart failure readmission rate at a 260-bed community hospital fell from about 22% to just under 17%. Over the same six months, the share of heart failure patients who returned to any form of hospital care within 30 days, counting emergency visits, observation stays and readmissions together, rose from about 31% to about 34%. The watched number improved. The thing it was meant to stand for, patients needing hospital care again soon after discharge, did not improve and may have worsened.

The reason the two numbers can diverge is built into the measure. The national readmission measure counts inpatient readmissions only; observation stays and emergency visits that end in discharge are excluded (Sabbatini & Wright, 2018). A patient who returns short of breath and spends 20 hours in observation counts as a success for the readmission rate and as a return for the patient.

Walking the Loop

Step 1. A higher readmission rate in the hospital's penalty period increased the attention executives gave to readmissions. The finance report highlighted the penalty, and the quality committee placed heart failure readmissions on every agenda.

Step 2. Greater attention increased the staff time, protocols and physician encouragement devoted to keeping returning patients out of inpatient status. The heart failure return pathway was the main result: stable returning patients went to observation in the clinical decision unit.

Step 3. More observation placements reduced the readmission rate, because those patients were not counted.

Step 4. A falling readmission rate was reported as success, which kept attention focused on the same number and away from others. Discharge teaching time on the cardiac step-down unit did not increase, and the post-discharge clinic appointment rate stayed at about 55%. Transitional calls continued, but nobody tracked whether patients reached a clinic.

Step 5. Patients without a clinic visit within seven days returned to the emergency department at a higher rate. Each return was another candidate for the pathway, which placed them in observation, which lowered readmissions again and confirmed that the approach was working.

Followed around, the loop returns to its start: success in the watched number keeps attention on the watched number, and the unwatched work that would reduce returns stays thin. More success produces more of the same strategy. This is a reinforcing loop. It does not drag returns back toward a target; it makes the gap between the two numbers grow on its own.

Evidence for Each Step

Each step in the loop rests on a source a manager could check. Step 1 is documented in the minutes of the quality committee, where heart failure readmissions appeared on every agenda from January 2025, and in the finance report that listed the penalty amount each quarter. Step 2 is documented in the pathway protocol, approved in June 2025, and in the count of heart failure observation placements, which rose from about 6 a month before July to about 25 a month by October. Step 3 is shown by the readmission rate itself, together with the measure definition, which excludes observation stays. Step 4 rests on staffing and scheduling data: discharge teaching hours on the step-down unit were unchanged across the period, and the rate of clinic visits within seven days stayed near 55%. Step 5 is shown by the case manager's January 2026 compilation of all returns, which found that patients without a seven-day visit returned more often than those who had one. No step depends on a claim about anyone's intentions.

Where the Effort Went Instead

Loops of this shape run on attention. When the readmission number got louder, the quieter parts of heart failure care were early clinic follow-up, medication reconciliation for patients on several diuretics, and teaching that families could use at home. The people standing in that part of the work were step-down unit nurses, the outpatient heart failure clinic and the pharmacists. None of them saw new resources. This pattern, in which a performance measure narrows attention to what is counted, is one of the best documented unintended effects of targets in health systems (Mannion & Braithwaite, 2012).

The improved number was not fraud. Many patients in observation received good care and went home sooner. People work on what is watched. The analysis does not depend on anyone gaming the measure. It depends only on the measure excluding a type of return that the hospital then produced more of.

The Delay

The loop takes about three to four months to come round. A change in discharge practice shows in readmission data within a month, but its effect on clinic follow-up and on return rates accumulates more slowly, and the combined return figure was not reported at all until a case manager compiled it in January 2026. Penalty calculations run on data from earlier years, so the financial signal lags by about two years. Reporting cycles are short and the loop is not, which is why the change looked like a success for two quarters. The national record shows a similar pattern of delayed recognition: concerns that falling readmissions came with rising observation use were raised years after the penalty program began (Zuckerman et al., 2016).

Why It Matters Clinically

The concern is not only accounting. A national study found that announcement and implementation of the readmission penalty program were associated with increased 30-day mortality after discharge for heart failure, though the cause of that association remains debated (Wadhera et al., 2018). A local loop that keeps returns high while readmissions fall deserves attention for the same reason: the patient's need, not the hospital's classification, is what predicts harm.

One Link, Cut

The link I would cut is step 4, where readmission success keeps attention on the readmission number. The cut is simple to describe: replace the readmission rate as the headline heart failure measure with total 30-day returns, which includes observation and emergency visits, and report the readmission rate beneath it. Once returns become the watched number, attention moves to the work that reduces returns, such as clinic visits within seven days. The readmission rate might rise slightly as some patients are admitted rather than observed. Total returns should fall, and the two numbers should move together again.

References

Mannion, R., & Braithwaite, J. (2012). Unintended consequences of performance measurement in healthcare: 20 salutary lessons from the English National Health Service. Internal Medicine Journal, 42(5), 569-574. https://doi.org/10.1111/j.1445-5994.2012.02766.x

Sabbatini, A. K., & Wright, B. (2018). Excluding observation stays from readmission rates: What quality measures are missing. New England Journal of Medicine, 378(22), 2062-2065. https://doi.org/10.1056/NEJMp1800732

Wadhera, R. K., Joynt Maddox, K. E., Wasfy, J. H., Haneuse, S., Shen, C., & Yeh, R. W. (2018). Association of the Hospital Readmissions Reduction Program with mortality among Medicare beneficiaries hospitalized for heart failure, acute myocardial infarction, and pneumonia. JAMA, 320(24), 2542-2552. https://doi.org/10.1001/jama.2018.19232

Zuckerman, R. B., Sheingold, S. H., Orav, E. J., Ruhter, J., & Epstein, A. M. (2016). Readmissions, observation, and the Hospital Readmissions Reduction Program. New England Journal of Medicine, 374(16), 1543-1551. https://doi.org/10.1056/NEJMsa1513024