| Course | NURS 832 Clinical Prevention and Biostatistics (NURS832) |
|---|---|
| Module/Week | 5 |
| Assignment | Discussion Board Forum 3 on Inferential Statistics |
| Paper type | Discussion thread with one reply |
| Length | about 536 words (thread and replies). Course guide: a thread in response to the forum topic citing two peer-reviewed journal articles, and a reply to one classmate citing one different article, in graduate-level writing and current APA, with no required word count |
| Format | APA 7 citations and reference list |
| Points | 100 |
| School | Liberty University Online |
| Program | DNP |
| Where it sits | Module/Week 5 in Liberty's published NURS 832 course guide; current sections can differ |
| Updated | October 2026 |
Free sample paper for NURS 832 Week 5
Discussion Board Forum 3: What the Confidence Interval Says That the P Value Does Not
NURS 832 Clinical Prevention and Biostatistics, Discussion Board Forum 3
Thread by [Student Name]
The classmate replied to is a composite written for a model discussion; the trials cited are real.
Most of us read results sections the same way: we look for the asterisk or the "P < .05" and decide whether the intervention "worked." This week's reading on inferential statistics made me realize how much that habit throws away. A p value describes how compatible the data are with no effect; by itself it is silent on the size of the effect and on whether patients would notice it. The confidence interval does both, in the units we care about (Macha & McDonough, 2012).
Consider a 2026 trial in which 1,214 patients with advanced cancer at six Hong Kong palliative care clinics were randomized to app-based symptom monitoring with nurse-led follow-up for severe symptoms or to usual care. Quality of life was better maintained with monitoring, and hospitalization outcomes favored the intervention. For emergency department use, 20.2% of the monitored group and 25.6% of the usual care group had a visit, an odds ratio of 1.27 with a 95% confidence interval of 0.97 to 1.67 and P = .09, which the authors described as similar between groups (Chan et al., 2026). Read only for its p value, the result says "no difference." Read for its interval, it says the trial cannot distinguish a slight disadvantage from a substantial reduction in emergency visits. A wide interval that crosses no effect is a study saying "I don't know," not a study saying "no."
Compare a 2026 trial at eight federally qualified health centers in Brooklyn, where 1,275 adults with a new stool-based screening order were randomized to three automated text reminders or one nurse telephone call. Completion within 21 days was 58.9% with texts and 49.8% with calls, a gain of 9.0 percentage points whose 95% interval ran from 3.6 to 14.5 (Korostoff-Larsson et al., 2026). Here the interval lies entirely above zero, and even its lower end, 3.6 more completed tests per 100 patients, is a meaningful gain for a strategy that also frees nurse time.
From these two trials I take three habits. First, read the interval before the p value. Second, translate it into clinical units: percentage points, visits or patients. Third, distinguish "no evidence of an effect" from "evidence of no effect." For our clinic, the second trial supports trying automated reminders for colon cancer screening, while the first suggests digital symptom monitoring may reduce emergency visits but needs a larger study to say so.
Reply to Marisol
Marisol, you wrote that a statistically significant result shows an intervention is clinically important. Significance and importance can diverge in both directions. In a 2026 trial of 375 emergency patients with anxiety after low-risk chest pain, peer-supported internet cognitive behavioral therapy lowered GAD-7 scores by 1.22 points beyond the referral group, with a 95% confidence interval of 0.01 to 2.43 and an effect size of 0.25 (Musey et al., 2026). The result is significant, yet the interval's lower end is essentially zero, and even the point estimate is small on a 21-point scale. The trial's subgroup with severe anxiety gained more, about 2.8 points. So the finding is real but modest, and its importance depends on cost, reach and who receives it. Would you still recommend the program to every patient, or only to those with severe anxiety?
References
Chan, W. L., Soong, I. S., Lim, M. Y., Tin, W. W., Siu, S. W., Ng, J., Leung, C., Leung, A., Tai, Y. L., Lam, C. M., Hou, L. Y., Lo, R., Lee, V. H., Yuen, K. K., Kwong, D., & Hui, R. (2026). Digital self-management of symptoms and quality of life for patients with advanced cancer: A randomized clinical trial. JAMA Network Open, 9(6), Article e2615509. https://doi.org/10.1001/jamanetworkopen.2026.15509
Korostoff-Larsson, O., King, W. C., Pelegri, E., Colella, D., Dapkins, I., Eng, K., Klapheke, N., Krelle, H., Mahieu, N., McManus, E., Shahin, G., Woodriff, M., Horwitz, L. I., & Elmaleh-Sachs, A. (2026). Behaviorally informed text messaging to promote colon cancer screening: A quality improvement randomized clinical trial. JAMA Network Open, 9(4), Article e267122. https://doi.org/10.1001/jamanetworkopen.2026.7122
Macha, K., & McDonough, J. P. (2012). Epidemiology for advanced nursing practice. Jones & Bartlett Learning.
Musey, P. I., Kroenke, K., Connors, J. N., Stump, T. E., Chernyak, Y., Prather, K., Montgomery, C., & Monahan, P. O. (2026). Telehealth treatment of anxiety in patients with low-risk chest pain in the emergency department: The PACER randomized clinical trial. JAMA Internal Medicine. Advance online publication. https://doi.org/10.1001/jamainternmed.2026.4225
What the NURS 832 Week 5 instructions ask
The third NURS 832 forum is due in Module/Week 5, when Macha and McDonough's chapters turn to inferential statistics and the interpretation of research for practice. Requirements repeat from the earlier forums: course knowledge shown thoroughly, a pair of journal articles behind the thread, one fresh article behind a single reply, graduate-level APA writing and no word limit. This is the forum where the course's statistics meet the decisions clinicians make every day, so a thread that interprets actual results from recent studies, rather than defining terms, demonstrates the course outcome of using statistics to evaluate evidence-based changes.
How this NURS 832 Week 5 example is built
The thread opens with a common reading habit, scanning results for an asterisk, and explains what a p value does and does not mean. It then reads two recent trials side by side: one in which a secondary outcome was called similar despite a 5.4-point drop in emergency visits and a confidence interval stretching toward benefit, and one in which a text-message strategy improved screening with an interval entirely above a meaningful threshold. It closes with three habits for reading results and what each of the two trials means for the writer's own rural clinic. The reply engages a classmate who wrote that statistical significance proves importance, using a trial whose confidence interval nearly touched zero.
NURS 832 Week 5 grading rubric: where the points go
The final forum is usually judged on the accuracy of statistical interpretation, how thoroughly the thread explores the question, the article requirements and the quality of writing. Graders look for correct statements about p values, which describe how compatible data are with no effect rather than the probability that a finding is true, and for interpretation of confidence intervals in clinical units. Distinguishing statistical significance from clinical importance, and absence of evidence from evidence of absence, shows mastery of the week's content. Translating at least one interval into a statement a patient could understand earns credit for application, not only for knowledge.
NURS 832 Week 5 help: mistakes that cost points
Statistics threads often define a p value as the probability that the result happened by chance, or treat any result above .05 as proof that nothing happened. Choose two results from recent trials, one with a narrow interval and one with a wide interval that crosses no effect, and say in plain words what each allows you to conclude. Use the units the patient would care about, such as percentage points or visits, rather than only test statistics. In the reply, add a third example that adds something new, such as a significant result whose interval barely excludes no effect. Avoid stacking jargon; a sentence such as "the study could not tell whether the app reduces emergency visits" communicates more than a paragraph of test statistics.
Related NURS 832 sample papers
Other NURS 832 weeks
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NURS 832 Week 5 questions, answered
What is NURS 832 Discussion Board Forum 3?
The last forum in Liberty's DNP biostatistics course, due in Module/Week 5 for 100 points, on inferential statistics, supported by a pair of journal articles in the thread and another in the reply.
Where can I find a free NURS 832 Week 5 sample paper?
This page shows the complete NURS 832 Week 5 thread on confidence intervals and p values in two 2026 trials, along with the reply to a classmate and every source cited, at no cost.
What does a p value mean?
It measures how surprising the data would be if there were truly no effect. It does not give the chance that the finding is true, nor the chance that luck alone produced it.
Why are confidence intervals more useful than p values?
A confidence interval shows the range of effect sizes consistent with the data, in clinical units, so readers can judge both the direction and the possible size of an effect.
Does a nonsignificant result mean there is no effect?
No. A nonsignificant result with a wide confidence interval that includes meaningful benefit means the study could not rule out an effect, which is different from showing that none exists.
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