NURS 225 Week 6 Discussion Board Forum 3 Example

Discussion Board Forum 3: What the Statistics in a Study Actually Tell a Nurse

NURS 225 Pre-licensure Research in Nursing, Discussion Board Forum 3

Thread by [Student Name]

The classmates are composites; the textbook, Scripture and the reviews cited are real.

Our project group stalled this week over one sentence in a review: gum chewing reduced time to first flatus by 7.4 hours, with p = 0.0003 (Li et al., 2025). Two of us read it as proof; one asked what the p-value actually meant. This week's chapters helped us sort it out.

The mean difference, 7.4 hours, is the effect size: on average, patients who chewed gum passed flatus about seven hours sooner than those who did not. Boswell and Cannon (2017) explain that a p-value is the probability of seeing a difference this large, or larger, if there were truly no effect. A p of 0.0003 means such a result would be very unlikely if gum did nothing. It does not mean there is a 99.97% chance that gum works, and on its own it cannot show whether the benefit is big or small. A confidence interval answers that better, because it gives the range of plausible effects; an interval for a difference that does not include zero agrees with a significant p-value and also shows how precise the estimate is.

A second review showed us another number to watch. Gao et al. (2025) reported a cesarean-specific pooled gain of roughly seven and a half hours to first gas with gum, but the I-squared statistic for that comparison was about 98%. I-squared describes how much of the variation among pooled studies reflects real differences rather than chance, and a value that high means the trials disagreed a great deal, perhaps because of different gum schedules, surgeries or definitions. The average is real, but it hides a wide spread.

Finally, statistical significance is not the same as clinical significance. Seven hours sooner may mean a patient eats breakfast instead of waiting until dinner, which matters; a statistically significant difference of 20 minutes might not. Our group now asks three questions of any result: how big is the effect, how precise is it and would a patient care? We also want to check the direction of each confidence interval in the reviews we cite in Part 2, since a pooled estimate with a very wide interval is a weaker basis for a pilot than the headline number suggests. For a nurse at the bedside, these questions take less than a minute and protect patients from practices built on numbers no one understood. A p-value tells you the result is probably not chance; only the size of the effect tells you whether it matters.

Reply to Emily

Emily, you wrote that any result with p below 0.05 "proves" the intervention works. I made the same assumption before this week. Boswell and Cannon (2017) caution that statistical significance only indicates that the result is unlikely if there were no true effect; it does not prove the hypothesis, measure the size of the effect or rule out bias in how the study was done. A poorly designed study can produce a very small p-value, and a large study can find a significant difference too small to matter. The 0.05 threshold is also a convention, not a law of nature. Scripture encourages this kind of humility about our conclusions. Paul writes, "If anyone imagines that he knows something, he does not yet know as he ought to know" (English Standard Version Bible, 2001/2016, 1 Corinthians 8:2). A p-value can tempt us to think we know more than we do. I think the healthier habit is to treat significance as one piece of evidence alongside effect size, confidence interval, design and consistency with other studies. When you look at the reviews for our project, which of those pieces do you find most persuasive? I find myself trusting consistency across several reviews more than any single impressive p-value, partly because consistency is harder to produce by chance or by a flawed design.

Reply to Caleb

Caleb, you asked why the textbook warns about small samples when a small study can still report a significant result. Boswell and Cannon (2017) explain that small samples produce imprecise estimates with wide confidence intervals and are vulnerable to chance findings; they also have little power, so they may miss real effects. When a small study does reach significance, its effect size is often exaggerated, because only unusually large differences can clear the threshold with few participants. That is one reason the gum reviews pool many trials: combined, they give a more stable estimate than any single small trial. Scripture also values the strength of many witnesses over one. Deuteronomy teaches that "only on the evidence of two witnesses or of three witnesses shall a charge be established" (English Standard Version Bible, 2001/2016, Deuteronomy 19:15). A single small study is like one witness: possibly right, but not enough to establish a practice. Consistent results across several independent studies carry far more weight. For our pilot, this means we should be careful not to overinterpret our own results from a few dozen patients. Should we report our pilot findings mainly as feasibility data rather than as proof of effect? I think our strongest claim will be whether nurses could deliver the protocol reliably, which is exactly what a small pilot is designed to show.

References

Boswell, C., & Cannon, S. (2017). Introduction to nursing research: Incorporating evidence-based practice (4th ed.). Jones & Bartlett Learning.

English Standard Version Bible. (2016). Crossway. (Original work published 2001)

Gao, T., Liu, Q., Wang, H., Liu, J., Jin, Y., & Liu, J. (2025). The effects of coffee versus gum chewing after cesarean on bowel functions: A systematic review and network meta-analysis. International Journal of Surgery, 111(11), 8435-8446. https://doi.org/10.1097/JS9.0000000000002911

Li, C., Nair, A., Zhu, X. M., Leung, M., Leung, G., Catapano, J., & McRae, M. (2025). The effects of gum chewing in the postoperative period: A systematic review and meta-analysis. ANZ Journal of Surgery, 95(7-8), 1320-1328. https://doi.org/10.1111/ans.70238