| Course | NR 714 Application of Analytic Methods II |
|---|---|
| Week | 3 |
| Paper type | Epidemiologic rates write-up |
| Length | About 1,130 words, 5 pages |
| Format | APA 7 student paper |
| School | Chamberlain University |
| Program | Doctor of Nursing Practice (DNP) |
| Updated | October 2026 |
Free sample paper for NR 714 Week 3
Rates, Denominators and Their Limits: Peripheral IV Catheter Failure on a 36-Bed Medicine Unit, January to June 2026
Student Name
College of Nursing, Chamberlain University
NR 714: Application of Analytic Methods II
Instructor Name
Month Day, Year
Rates, Denominators and Their Limits: Peripheral IV Catheter Failure on a 36-Bed Medicine Unit, January to June 2026
The Counts Behind Every Rate
All figures in this write-up come from the same six months, 1 January to 30 June 2026, on 4 North, a 36-bed adult general medicine unit. The numerator in every case is the number of peripheral catheters removed before the end of therapy for infiltration, occlusion, dislodgement, phlebitis or leakage: 437. Four candidate denominators were available from the unit's records: 1,412 catheters, 4,236 catheter-days, 5,940 patient-days and 1,186 admissions. The choice among them is the main argument of this paper, because each answers a different question and only one answers the question the project asks (Celentano & Szklo, 2019).
The Exposure Underneath the Count
The risk of a catheter failing exists only while a catheter is in place, and it accrues with each day the catheter stays. The exposure that matches that risk is catheter-days.
Incidence density = 437 failures divided by 4,236 catheter-days, multiplied by 1,000 = 103.2 failures per 1,000 catheter-days.
The same events can also be expressed per catheter, which answers a simpler question, what share of catheters fail:
Cumulative incidence = 437 divided by 1,412 catheters, multiplied by 100 = 30.9 failures per 100 catheters.
Both are legitimate. The first is the one the project will use for comparison, because if the bundle lengthens how long catheters last, each catheter will be exposed for longer and the per-catheter figure could stay flat even as each day becomes safer.
Two Denominators That Look Reasonable and Are Not
Per patient-day: 437 divided by 5,940 patient-days, times 1,000 = 73.6 per 1,000 patient-days. Per admission: 437 divided by 1,186, times 100 = 36.8 per 100 admissions.
Neither should be used. Patient-days include every day a patient had no catheter. On 4 North the proportion of patient-days on which a catheter was in place, known as the device utilization ratio, was 4,236 over 5,940, or 0.71. If the unit began removing idle catheters more promptly and the ratio fell to 0.60, failures per patient-day would fall by about 16% with no change in how often any catheter failed. Admissions are worse still, because a patient may have three catheters in one stay and the risk depends on length of stay, which varies widely on a medicine unit. A falling rate on either denominator could mean the bundle worked, or fewer catheters, or shorter stays, and nobody could tell which.
Rates by Reason
Table 1
Premature Peripheral Catheter Failure by Reason, 4 North, January to June 2026
| Removal reason | Failures | Per 1,000 catheter-days | Share of failures |
|---|---|---|---|
| Infiltration or extravasation | 172 | 40.6 | 39.4% |
| Occlusion | 118 | 27.9 | 27.0% |
| Dislodgement | 96 | 22.7 | 22.0% |
| Phlebitis | 31 | 7.3 | 7.1% |
| Leakage | 20 | 4.7 | 4.6% |
| All reasons | 437 | 103.2 | 100% |
Note. Note. Denominator for every rate is 4,236 catheter-days. Shares are rounded and may not sum exactly.
Infiltration and occlusion together account for two failures in three. Dislodgement, the reason a securement device is most directly designed to address, accounts for about one in five.
Incidence Against Prevalence
On 18 March 2026 at 10:00, the project lead assessed every patient on the unit. Of 33 patients, 25 had a peripheral catheter in place, and 4 of those 25 sites showed signs of infiltration or phlebitis on the unit's assessment scales. The point prevalence of site complications was therefore 4 of 25, or 16.0% of catheters in place at that moment.
Prevalence answers a different question from incidence. It describes how many sites are in trouble at one time, which is useful for planning how long a site-check round will take and for showing staff what a once-a-shift check is likely to find. It cannot show whether the bundle prevents new failures, because a site that has been infiltrating for an hour and one that has been fine for four days look the same in a single snapshot. A prevalence survey also overrepresents long-dwelling catheters, since they are more likely to be in place on the survey day. The project will use incidence density to test the change and repeat the prevalence survey once a quarter as a process check (Celentano & Szklo, 2019).
How Far One Event Moves the Rate
The unit records about 700 catheter-days a month. One failure more or less moves a monthly rate by about 1.4 per 1,000 catheter-days, so the overall rate is reasonably stable month to month. The reason-specific rates are not. In May the unit recorded 5 phlebitis removals on 706 catheter-days, 7.1 per 1,000; a sixth would have raised it to 8.5, an apparent rise of 20% from a single site.
Over six months the picture is steadier but still uncertain. Treating the 437 failures as a Poisson count gives an approximate 95% interval of about 396 to 478 events, or 93.5 to 112.8 per 1,000 catheter-days. For phlebitis, 31 events give an exact interval of about 21 to 44, or 5.0 to 10.4 per 1,000 catheter-days, so the true phlebitis rate could plausibly be half or double what was observed. The project will therefore report reason-specific rates as description only, and test the bundle on all failures together and on dislodgement, which has enough events to be read (Provost & Murray, 2022). In practice, this means a staff meeting will not hear that phlebitis doubled in a month. It will hear the six-month count with its interval, and a reminder that a handful of sites decides the monthly figure for the smaller reasons.
Comparison, With Its Reference Named
Large adult cohorts have reported that roughly a third of peripheral catheters fail before therapy ends (Marsh et al., 2018). The unit's 30.9 per 100 catheters sits in that range. The comparison is made per catheter because that is how the cohort reported it; comparing the unit's per-catheter-day rate with a published per-catheter figure would mix denominators. Even then, the populations differ in age, illness and who inserts the catheters, so the comparison shows the unit is not unusual, not that its practice is adequate. A unit can sit in the middle of a published range and still have room to improve, since the range itself describes what hospitals have accepted rather than what is achievable.
A Sentence a Colleague Could Repeat
On 4 North in the first half of 2026, about one peripheral IV in three came out early because it stopped working, roughly one failure for every ten days that catheters were in place, and infiltration was the most common reason.
References
Celentano, D. D., & Szklo, M. (2019). Gordis epidemiology (6th ed.). Elsevier.
Marsh, N., Webster, J., Larsen, E., Cooke, M., Mihala, G., & Rickard, C. M. (2018). Observational study of peripheral intravenous catheter outcomes in adult hospitalized patients: A multivariable analysis of peripheral intravenous catheter failure. Journal of Hospital Medicine, 13(2), 83-89. https://doi.org/10.12788/jhm.2867
Provost, L. P., & Murray, S. K. (2022). The health care data guide: Learning from data for improvement (2nd ed.). Jossey-Bass.
What the NR 714 Week 3 assignment asks for
Show every rate in full: the events counted, the exposure underneath, the multiplier and the period, so nothing has to be inferred. Choose the denominator on purpose and say why; patient-days suit risks that build with time on the unit, admissions suit events that happen once per stay and device-days suit risks that exist only while a line or tube is in. Separate incidence from prevalence and use each for the question it answers. Write a sentence of interpretation under every figure so the reader is not left holding a table. When you compare with a published figure, name the reference and check that it uses the same denominator. Then say how far one extra event would move your rate, because on a small unit a single case can look like a trend. Close with one sentence a colleague could repeat accurately.
How the NR 714 Week 3 example is put together
The sample opens by listing the 437 failures and the four denominators available for the same six months. It works incidence density and cumulative incidence line by line, then explains why the catheter-day rate is the comparison measure if the bundle lengthens dwell. Patient-day and admission rates are computed and set aside, with the device utilization ratio of 0.71 used to show how prompt removal of idle catheters could cut the per-patient-day figure by about 16%. A table gives each removal reason as a rate and a share. A March point prevalence survey found 4 of 25 sites in trouble and is kept for planning, not testing. The stability section shows a single phlebitis removal moving a monthly rate by 20% and gives intervals for the totals.
NR 714 Week 3 rubric: what full points look like
The most expensive mistake is the wrong exposure under the count, a rate built on admissions or patient-days when the risk accrues with each device day, which produces a number that compares with nothing. Next is a bare count presented as though it were a rate. Graders also take points for prevalence used where the question was about new cases, for arithmetic given only as a final answer so partial credit disappears and for tables left without interpretation. Comparisons that do not name their reference, or that mix denominators, lose marks too. Write-ups score well when they show how much one event moves a small rate and when they leave the reader with a single sentence that states the finding accurately in plain language.
NR 714 Week 3 help: mistakes that cost points
Most students can compute a rate; choosing and defending the denominator is the hard part. Send us your counts and the exposures your unit records, and we can help you set out each rate with its working, pick the denominator that matches the risk, separate incidence from prevalence and estimate how stable your figures are. We can also help you check that any published comparison uses the same measure, and draft the single plain sentence that sums up your finding for staff who will never read the table. The counts and the interpretation stay grounded in your own unit's data.
Get a NR 714 Week 3 example written to your instructions
Send the worksheet or instructions your section published, along with the rubric and a description of the unit and the period you are working with. We write an original example against those details and return it within 24 to 48 hours. The first one is free, and the working is shown throughout so you can follow every step.
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NR 714 Week 3 questions, answered
Is this the same as an epidemiology course?
No, and the difference shows in the denominator. A population course works with surveillance data across communities. This one works from the record of a single practice setting, where counts are small, exposure is measured in patient days rather than person years, and the point of the arithmetic is deciding whether a local change did anything. The methods overlap and the questions do not.
How much detail belongs in the interpretation?
One or two sentences per figure, written for a colleague rather than for a statistician. A useful interpretation names the group, the period and the scale, then says what it would mean if the number stayed where it is. Instructors rarely lose patience with a short reading, but they consistently mark down a table of correct results with nothing said about any of them.
What if my unit's numbers are tiny?
Small numbers are normal in this work and handling them honestly is what the week teaches. Report the rate, state how far a single event shifts it, and resist comparisons the denominator cannot carry. Send us the shape of your data, actual figures or realistic ones, and the example treats instability as something to be reported rather than quietly smoothed away.
Where can I find a free NR 714 Week 3 sample paper?
The full rates write-up for peripheral IV catheter failure, with four denominators compared and every calculation shown, is on this page.
Why does the NR 714 Week 3 sample reject a per-patient-day rate?
Patient-days include days with no catheter, so a drop in catheter use would lower that rate even if every catheter failed just as often.