NURS 6231 Week 3 Outcome Measure Analysis Example

Healthcare Systems and Quality Outcomes Walden University Free custom sample in 24 to 48h

This NURS 6231 Week 3 outcome measure analysis example examines catheter-associated urinary tract infection, which a hospital's quality committee sees every quarter and reports to the federal National Healthcare Safety Network. The paper specifies the measure, including its numerator and its denominator of catheter days, and explains how facilities are compared through the standardized infection ratio. A scenario then shows how removing unneeded catheters can lower infections while raising the rate, since the remaining catheter days belong to sicker patients. The paper recommends reading three figures together, infections, catheter days and the ratio, and names what the measure cannot show. Walden NURS 6231, Healthcare Systems and Quality Outcomes, grades MSN measure analyses on precision of specification. Sources include CDC's NHSN surveillance definitions, Fakih and colleagues on CAUTI prevention, Meddings and colleagues and Saint and colleagues on the national CAUTI program.

CourseNURS 6231 Healthcare Systems and Quality Outcomes
WeekWeek 3
Paper typeOutcome measure analysis
LengthAbout 1,200 words, 7 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramMaster of Science in Nursing (MSN)
UpdatedOctober 2026

Free sample paper for NURS 6231 Week 3

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When Fewer Infections Produce a Higher Rate: An Analysis of the Catheter-Associated Urinary Tract Infection Measure

Student Name

College of Nursing, Walden University

NURS 6231: Healthcare Systems and Quality Outcomes

Instructor Name

Month Day, Year

What this page is doingThe title states the measure's paradox, which is the finding the analysis has to demonstrate rather than assert.
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When Fewer Infections Produce a Higher Rate: An Analysis of the Catheter-Associated Urinary Tract Infection Measure

Catheter-associated urinary tract infection (CAUTI) is one of the outcome measures a hospital's quality committee sees every quarter. Hospitals report it to the federal National Healthcare Safety Network (NHSN), and it is widely treated as a preventable harm. This analysis specifies the measure element by element using the NHSN definition, explains how facilities are compared, and then follows a composite medical unit through a successful catheter removal project. The analysis shows that the measure's denominator can make a real improvement look like a deterioration, and it recommends reporting the rate beside two companion figures so that the committee reads the unit's performance correctly.

Specifying the Measure

A measure can only be analyzed once each of its terms is fixed. The NHSN definition supplies those terms, and borrowing them has two advantages over a local version: the definition has been refined over years of surveillance, and results counted under it can be compared with other hospitals (Centers for Disease Control and Prevention [CDC], 2025). Table 1 sets out the elements.

Table 1

Elements of the CAUTI Measure Under the NHSN Definition

ElementSpecification
NumeratorUrinary tract infections meeting the NHSN criteria in patients whose indwelling urinary catheter had been in place more than 2 consecutive days in an inpatient location, and was in place on the date of event or the day before
Laboratory criterionUrine culture with no more than two species, at least one a bacterium at 100,000 colony-forming units per milliliter or more; yeasts do not count
Clinical criterionAt least one sign or symptom, such as fever above 38.0 °C, suprapubic tenderness or costovertebral angle pain
DenominatorUrinary catheter days: each patient with an indwelling catheter counted once per day on the unit
Reporting unitInfections per 1,000 catheter days, by unit and month
ExclusionsSuprapubic and indwelling catheters count; straight in-and-out catheters, condom catheters and nephrostomy tubes do not
What this page is doingSummarized from the NHSN Patient Safety Component Manual (CDC, 2025); the manual's full criteria govern.
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Two features matter for what follows. The denominator is catheter days, not patient days, so the rate describes risk among catheterized patients only. And the numerator depends on a urine culture being sent, so a unit that cultures more often will find more infections.

How Facilities Are Compared

Raw rates differ between units for reasons unrelated to the quality of care, since an intensive care unit and a rehabilitation unit carry different patients. NHSN therefore compares facilities through the standardized infection ratio, which divides the number of infections observed by the number predicted for a facility of that type, size and unit mix using national baseline data (CDC, 2025). A ratio of 1.0 means the facility had as many infections as predicted; 0.8 means 20% fewer. The ratio is not a rate. It carries no denominator of its own that a committee can inspect, and the prediction rests on catheter days, so it inherits the same sensitivity to the denominator examined below. Treating the ratio and the rate as interchangeable is one of the most common misreadings in committee minutes.

A Scenario: Improvement That Raises the Rate

Consider a composite 30-bed adult medical unit with about 2,700 patient days a quarter. At baseline, patients accumulate 600 catheter days a quarter, and the unit records three CAUTIs, a rate of 5.0 per 1,000 catheter days. Many catheters are placed in the emergency department for monitoring of urine output and then stay because no one is prompted to remove them.

The unit adopts a nurse-driven removal protocol: each shift, the nurse checks the catheter against a list of approved indications and removes it without a physician order when none applies. Protocols of this kind work. In a meta-analysis of 11 studies, reminders and stop orders cut CAUTI rates by 53% (Meddings et al., 2014), and a national prevention program reduced both catheter use and infection rates on non-intensive care units (Saint et al., 2016).

In the composite unit, catheter days fall by half, to 300 in the following quarter. The patients who still have catheters are different from those who had them before. They are the patients with urinary retention, those with stage 4 sacral wounds and those at the end of life, and their catheters stay in longer. Infections fall from three to two. The rate, however, is now two infections over 300 catheter days, or 6.7 per 1,000. The unit has one fewer infected patient and fewer patients exposed to a catheter at all, yet its reported rate has risen by a third. A committee reading only the rate would conclude that the unit's catheter care had deteriorated.

The scenario is not a claim that removal projects usually raise rates. The pooled studies show that they usually lower them (Meddings et al., 2014). It shows a property of the measure: because the denominator shrinks as care improves, and the remaining patients are at higher risk per day, the rate can move in either direction when outcomes for the unit as a whole improve.

Recommendation: Read Three Figures Together

The committee should see three figures side by side each quarter. The first is the rate per 1,000 catheter days, which describes risk among catheterized patients. The second is the count of infections, which tells how many patients were harmed. The third is the device utilization ratio, catheter days divided by patient days, which tells how often patients were exposed at all. In the scenario, utilization falls from 0.22 to 0.11, the count falls from three to two, and the rate rises. Read together, the three show an improving unit whose remaining catheterized patients are sicker. Fakih et al. (2016) argued for the utilization ratio as a performance measure in its own right, noting that it is objective, already captured in NHSN reporting and more directly tied to the goal of avoiding unnecessary catheters. A catheter can cause trauma, discomfort and immobility without any infection, and only the utilization ratio sees those harms.

Changing how the measure is reported costs almost nothing, since all three figures come from data already collected. It changes what the committee concludes.

What the Measure Cannot Show

The measure is silent about several things the committee might assume it covers. It does not count urinary infections in patients who were never catheterized, or in those whose catheter was in for two days or less. It does not capture infections that appear after discharge. Its numerator depends on culturing practice, so a unit that reduces unnecessary urine cultures will appear to improve even if nothing about catheter care changes. And it reflects surveillance criteria, which Fakih et al. (2016) noted correlate imperfectly with clinical infection. None of these limits argues against using the measure. They argue for stating them in the report so that the committee reads the figure for what it is.

Conclusion

Specified with care, the CAUTI measure is precise and comparable, and its per-catheter-day rate is the right figure for judging catheter care. It is the wrong figure for judging whether a unit is exposing fewer patients to catheters. Presented beside the infection count and the device utilization ratio, the rate tells the committee what it needs to know; presented alone, it can penalize the units that improve the most.

References

Centers for Disease Control and Prevention. (2025). National Healthcare Safety Network (NHSN) patient safety component manual. https://www.cdc.gov/nhsn/pdfs/pscmanual/pcsmanual_current.pdf

Fakih, M. G., Gould, C. V., Trautner, B. W., Meddings, J., Olmsted, R. N., Krein, S. L., & Saint, S. (2016). Beyond infection: Device utilization ratio as a performance measure for urinary catheter harm. Infection Control & Hospital Epidemiology, 37(3), 327-333. https://doi.org/10.1017/ice.2015.287

Meddings, J., Rogers, M. A. M., Krein, S. L., Fakih, M. G., Olmsted, R. N., & Saint, S. (2014). Reducing unnecessary urinary catheter use and other strategies to prevent catheter-associated urinary tract infection: An integrative review. BMJ Quality & Safety, 23(4), 277-289. https://doi.org/10.1136/bmjqs-2012-001774

Saint, S., Greene, M. T., Krein, S. L., Rogers, M. A. M., Ratz, D., Fowler, K. E., Edson, B. S., Watson, S. R., Meyer-Lucas, B., Masuga, M., Faulkner, K., Gould, C. V., Battles, J., & Fakih, M. G. (2016). A program to prevent catheter-associated urinary tract infection in acute care. New England Journal of Medicine, 374(22), 2111-2119. https://doi.org/10.1056/NEJMoa1504906

Reading the NURS 6231 Week 3 instructions

In the third NURS 6231 week, students take one outcome measure apart. You specify the numerator, denominator and exclusions, explain how results are compared, test the measure with a scenario and recommend how to read it. Faculty grade precision, and a measure named without its denominator leaves later claims untestable. Cite surveillance definitions and research in APA 7. Removing catheters can raise the rate because the denominator shrinks faster than infections. A standardized infection ratio compares observed infections with a predicted number, which is different from a rate. NQF endorsement is helpful but not required. Real numbers in the scenario make it convincing.

How this NURS 6231 Week 3 example is built

Roughly four pages long. The specification section defines the measure as surveillance systems such as CDC's National Healthcare Safety Network frame it: infections meeting a standard definition in patients with an indwelling catheter, over catheter days, reported per thousand, with inclusion and exclusion criteria stated. A second section describes how facilities are compared, through a standardized infection ratio that sets observed infections against those predicted for similar facilities. The core section works through a composite scenario in words: a nurse-driven removal protocol cuts catheter days sharply, the patients who keep catheters are sicker, infections fall in number, and the rate per catheter day rises. The analysis recommends reporting the rate alongside total infections and the device utilization ratio. A closing section lists what the measure cannot show, such as infections in patients never catheterized.

Reading the NURS 6231 Week 3 rubric

Precision of specification carries this assignment, and the usual loss is a measure named without its denominator, which leaves every later claim untestable. Most rubrics here ask whether the measure is defined so that another team would count the same events, and borrowing a national surveillance definition answers that more reliably than inventing one. Analysis credit follows the scenario, since it demonstrates a property of the measure instead of asserting one. Comparison is read carefully: a paper describing the standardized infection ratio as a rate has confused two things instructors expect kept apart. Recommendations earn more when they change how the measure is reported than when they urge better data. Omitting the measure's blind spots invites a question the paper should already have answered. Definitions should be sourced to the surveillance body's own documents.

NURS 6231 Week 3 help: mistakes that cost marks

Measure analyses lose the most when the denominator is missing. Specify it. Another common gap is treating a rate rise as worse care. Test the scenario. Writers also confuse the ratio with a rate. Explain both. Avoid recommending one figure alone. Read them together. Cite the current NHSN definitions. A small table showing infections, catheter days and the resulting rate before and after catheter removal makes the paradox clear. Close with what the committee should look at each quarter.

Get a NURS 6231 Week 3 example written to your instructions

Your section's assigned outcome measure is the starting point; without one, the desk uses catheter-associated infection. Upload the Week 3 prompt and rubric. The measure analysis is delivered in 24-48h, the first free, with its specification drawn from the defining body's current documents and its scenario labeled as composite.

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NURS 6231 Week 3 questions, answered

Why does removing catheters sometimes raise the infection rate?

Because the rate's denominator is catheter days. Removing catheters early from lower-risk patients cuts catheter days faster than it cuts infections, and the patients who keep catheters tend to be sicker and more prone to infection. Total infections can fall while the rate per catheter day rises. The sample reports the rate with the total count and a device utilization ratio so a committee sees all three movements.

Is a standardized infection ratio the same as an infection rate?

No. A rate divides infections by exposure, such as catheter days. A standardized infection ratio divides observed infections by the number predicted for comparable facilities, so a value above one means more infections than predicted. The sample explains both because committees often read the ratio as if it were a rate, which produces confident conclusions from a misunderstanding.

Must the measure be NQF-endorsed?

Not necessarily, though many prompts favor measures with established specifications, and NQF endorsement or use in national surveillance signals that a measure has been tested for reliability and validity. The sample uses a nationally specified infection measure for that reason. A locally defined measure can work when the paper specifies it just as carefully and explains why no standard version fits.

Where can I find a free NURS 6231 Week 3 sample paper?

The CAUTI measure analysis is on this page with the specification, facility comparison, the scenario, the recommendation and the measure's limits.

What is the denominator for CAUTI in NURS 6231 Week 3?

Catheter days, so the rate is infections per 1,000 catheter days rather than per patient or per admission.