| Course | NURS 6052 Essentials of Evidence-Based Practice |
|---|---|
| Week | Week 7 |
| Paper type | Discussion post with two peer replies |
| Length | About 620 words, 4 pages |
| Format | Discussion post, APA 7 citations |
| School | Walden University |
| Program | Master of Science in Nursing (MSN) |
| Updated | October 2026 |
Free sample paper for NURS 6052 Week 7
Week 7 Discussion: Initial Post
Statistically Significant, Clinically Important, or Neither? Reading Two Chlorhexidine Bathing Studies
Two studies from my evidence matrix have opposite problems, which makes them useful for this week. Climo et al. (2013) is a multicenter cluster-randomized crossover trial with thousands of patients in nine units; its challenge is deciding whether a statistically significant result is large enough to matter. Montecalvo et al. (2012) is a before-and-after study in a smaller number of ICUs with relatively few infections in each phase; its challenge is deciding how much to trust a reduction that looks large.
A p-value answers a narrow question: if chlorhexidine bathing truly had no effect, how likely is it that a difference at least this large would appear by chance? A small p-value makes chance an unlikely explanation. It says nothing about how big the effect is, whether it matters to patients, or whether the study was designed well enough to trust. It is not the probability that the intervention works (Melnyk & Fineout-Overholt, 2023). A very large trial can produce a tiny p-value for a trivial difference, and a small study can miss a real effect.
Effect size is where clinical significance begins. For CLABSI, the most useful expression is the absolute difference in infections per 1,000 central line days between bathing and control periods. Relative reductions, such as a percentage decrease, can sound impressive when the baseline rate is already low, so I want the absolute difference first. The number needed to treat, the number of patients who must be bathed daily to prevent one infection, turns that absolute difference into something a unit can plan around; when infections are rare, it can be large even when the relative reduction looks strong.
A confidence interval shows the range of effects that are plausible given the data. In the large trial, the interval around the effect is fairly narrow, so the plausible effects are clustered; the question becomes whether the smallest plausible effect is still worth the effort. In the before-and-after study, fewer events produce a wider interval, so the plausible effects range from a large benefit to a much smaller one, and the design cannot rule out that other changes explain the difference at all.
Clinical importance, finally, means weighing benefit against burden. Chlorhexidine bathing takes nursing and assistant time, can cause skin irritation, and raises questions about resistance with long-term use. On a unit where CLABSI is already rare, a small absolute reduction might not justify that burden; on a unit with the rate that triggered our project, it may. So my reading is that the trial's finding is statistically significant and probably clinically important for our unit, while the before-and-after study is suggestive but not strong enough to stand alone.
Reply to Heather
Heather, you wrote that the fall prevention study in your matrix "proved" hourly rounding works because p was below .05. I would add that the p-value only tells us the result is unlikely to be chance. Did the study report the absolute difference in falls per 1,000 patient days, and how wide the confidence interval was? If the interval runs from a large reduction down to almost none, the finding is real but its size is uncertain, which matters when you ask your manager for staff time.
Reply to Carlos
Carlos, your study on early mobility reported a relative reduction in delirium, and you described it as a large effect. Do you know the baseline rate in the control group? If delirium was uncommon to begin with, the absolute difference and the number needed to treat would give a truer picture of what your unit would gain. It would also help to weigh the burden, since early mobility takes physical therapy and nursing time.
References
Climo, M. W., Yokoe, D. S., Warren, D. K., Perl, T. M., Bolon, M., Herwaldt, L. A., Weinstein, R. A., Sepkowitz, K. A., Jernigan, J. A., Sanogo, K., & Wong, E. S. (2013). Effect of daily chlorhexidine bathing on hospital-acquired infection. New England Journal of Medicine, 368(6), 533-542. https://doi.org/10.1056/NEJMoa1113849
Melnyk, B. M., & Fineout-Overholt, E. (2023). Evidence-based practice in nursing & healthcare: A guide to best practice (5th ed.). Wolters Kluwer.
Montecalvo, M. A., McKenna, D., Yarrish, R., Mack, L., Maguire, G., Haas, J., DeLorenzo, L., Dellarocco, N., Savatteri, B., Rosenthal, A., Watson, A., Spicehandler, D., Shi, Q., Visintainer, P., & Wormser, G. P. (2012). Chlorhexidine bathing to reduce central venous catheter-associated bloodstream infection: Impact and sustainability. The American Journal of Medicine, 125(5), 505-511. https://doi.org/10.1016/j.amjmed.2011.10.032
Reading the NURS 6052 Week 7 instructions
The seventh NURS 6052 thread commonly asks you to distinguish statistical and clinical significance using studies from your matrix. You define the terms accurately, apply them to real results, consider absolute effects and harms and say what the findings mean for practice. Faculty read definitions first. Cite the studies and a statistics source in APA 7. Calculating number needed to treat is helpful but may be optional. A nonsignificant result is not the same as no effect. Replies should check a classmate's interpretation. NURS 6052 faculty want the p-value defined in a sentence, absolute risk reduction calculated or reported and harms weighed beside benefits.
How the NURS 6052 Week 7 example is put together
Four hundred and fifty words or so make up the initial post; two replies follow, each shorter. The post begins with the two studies from the author's matrix, named by design: a multi-unit cluster trial and a single-unit before-and-after study. A paragraph explains in plain terms what a p-value says, something about chance and nothing about size or importance. The next sets out effect size as an absolute difference in infections per line days, separates absolute from relative reductions, and mentions number needed to treat as one way of expressing benefit. A confidence interval is described as a range of plausible effects, and its width is read for both studies. The closing paragraph weighs clinical importance against harms such as skin irritation and staff time. No published figure appears anywhere in the thread.
NURS 6052 Week 7 rubric: what earns full marks
Definition accuracy is read first in significance discussions, and the familiar error, treating a p-value as the chance the bath works, costs the concept line immediately. Credit then depends on whether the post keeps the two kinds of significance apart and applies each to a named study from the matrix, instead of defining both in the abstract. Absolute and relative effects are often scored together, since posts quoting only relative reductions tend to overstate benefit. Treating a nonsignificant small study as proof of no effect is the second classic deduction. Confidence intervals earn credit when their width is interpreted, not merely reported. Harms and burdens belong in the clinical judgment, and a post that ignores them reads as incomplete. Replies score when they introduce a concept or a counterpoint, with two scholarly sources usually expected across the thread.
Common NURS 6052 Week 7 mistakes, and how to avoid them
The costliest mistake is treating a p-value as proof the bath works. Define it correctly. Another common gap is reporting relative reductions only. Give absolute numbers. Writers also treat nonsignificant results as proof of no effect. Explain power and sample size. Avoid ignoring harms. Mention skin reactions. In replies, check the classmate's definition. Close with what the two studies mean together. Writers also forget confidence intervals, which show the range of plausible effects. Report them. In replies, recheck one of the classmate's numbers instead of agreeing. Keep numbers exact.
Get a NURS 6052 Week 7 example written to your instructions
Send the Week 7 discussion prompt, the rubric and the two or three studies from your matrix the thread should examine. The post is built on your studies, with p-values, effect sizes and intervals explained against each, and clinical importance judged separately; two replies come with it. First request free, back in 24-48 hours.
More NURS 6052 papers and MSN samples
- NURS 6052 Week 1: PICOT Element Critique
- NURS 6052 Week 2: Search Iteration Log
- NURS 6052 Week 3: Methodology Crosswalk
- NURS 6052 Week 4: Evidence Matrix and Appraisal
- NURS 6052 Week 5: Evidence Hierarchy Ranking
- NURS 6052 Week 6: Practice Recommendation
- NURS 6052 Week 8: Organizational Readiness Case
- NURS 6052 Week 9: EBP Adoption Proposal
- NURS 6052 Week 10: Appraisal Trail Slides
- NURS 6052 Week 11: Dissemination Channel Plan
- NURS 6053 Week 7: Workplace Civility Assessment
- NURS 6051 Week 7: Standardized Terminology Argument
- NURS 6201 Week 7: Stakeholder Analysis
- NURS 6050 Week 7: Policy Outcome Evaluation
NURS 6052 Week 7 questions, answered
Is a nonsignificant result the same as no effect?
No, and the example's second study shows why. A small sample can produce a large difference that still misses significance because the estimate is imprecise. That result is inconclusive, not negative. The post reads the wide confidence interval as a sign of uncertainty rather than proof that chlorhexidine bathing does nothing, which is the distinction this thread usually rewards.
Do I need to calculate number needed to treat myself?
Rarely at this level. The example names number needed to treat as one way of expressing absolute benefit and explains what it would mean for a unit, without recomputing anything from the published studies. Where your prompt requires a calculation, the sample shows the working from your study's reported figures and states which figures were used.
Where do harms fit in a significance discussion?
In the clinical judgment, which stands apart from the statistics. A benefit can be statistically clear and still be outweighed by skin reactions, staff time or cost. The post names those burdens so the importance question is answered in full. Discussions that judge clinical significance from effect size alone usually miss the part graders mean by clinical.
Where can I find a free NURS 6052 Week 7 sample paper?
The statistically versus clinically significant post is reproduced here with both studies read, absolute effects, harms and replies to Heather and Carlos.
Which trial is read for absolute effect in NURS 6052 Week 7?
The large Climo crossover trial, where the post works out how many patients must be bathed to prevent one infection.