DNP 899 Module 2 Clinical Significance Beyond P Values Example

Reviewed by Maren Hollowell, MSN, RN Aspen University Updated September 2026

This DNP 899 Module 2 sample paper asks what a maternal depression screening program's results mean for mothers and babies, beyond statistical significance. It was prepared for the DNP Project Capstone in the Aspen University DNP program, whose catalog lists clinical significance among the capstone's expectations. Screening reached 86% of eligible well-child visits, and among 64 mothers who screened positive and were rescreened, scores fell sharply. The paper then applies a published method for individual change: just over half those mothers showed reliable change that took them below the cut-off. It gives greater weight to results covering every positive screen, three in four mothers connected to care within 30 days and nine same-day safety assessments. The meaning for infants, the choice of threshold and the limits of each claim complete the analysis. Aspen DNP students see significance judged for patients.

CourseDNP 899 DNP Project Capstone
ModuleModule 2
Paper typeClinical significance paper
LengthAbout 1,005 words, 6 pages
FormatAPA 7 student paper
SchoolAspen University
ProgramDNP
UpdatedSeptember 2026

Free sample paper for DNP 899 Module 2

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Below the Line and Stayed There? Clinical Significance in a Maternal Depression Screening Program at Well-Child Visits

Student Name

Doctor of Nursing Practice Program, Aspen University

DNP 899: DNP Project Capstone

Instructor Name

Month Day, Year

What this page is doingThe title asks the clinical question behind the statistics, whether mothers crossed below the screening threshold and stayed there. APA 7 student title page.
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Below the Line and Stayed There? Clinical Significance in a Maternal Depression Screening Program at Well-Child Visits

A p value answers whether a change is unlikely to be chance. It does not answer whether the change matters to a mother holding a two-month-old at three in the morning. This paper examines the clinical significance of my DNP project, in which a pediatric practice began asking every mother about her mood during her baby's early checkups and sent those who screened positive straight to the social worker down the hall. It moves from statistical results to three kinds of clinical meaning: meaningful change for individual mothers, connection to care, and safety. It ends with the limits that shape each claim.

The Statistical Results

Over 16 weeks, 1,042 of 1,212 eligible visits included a completed Edinburgh Postnatal Depression Scale, the ten-item questionnaire developed to screen for postnatal depression in community settings and found sensitive to change over time (Cox et al., 1987). Of those screens, 118 scored 10 or higher. Sixty-four of the 118 mothers completed the scale again at the next well-child visit, four to eight weeks later. Their mean score fell from 14.2 to 9.1, a mean change of 5.1 points with a standard deviation of 4.4, t(63) = 9.27, p < .001. By conventional standards that is a large and highly significant change. It says little, however, about how many individual mothers improved in a way they would notice.

Reliable and Clinically Significant Change

Jacobson and Truax (1991) proposed two tests for meaningful change in an individual: whether the change is larger than measurement error alone would produce, their reliable change index, and whether the person moves from the range of the affected population into the range of the unaffected, such as crossing a clinical cut-off. The project applied both to the 64 rescreened mothers. The scale's reliability in this sample could not be estimated from two time points, so a conservative reliability of 0.80 was assumed; with the group's baseline standard deviation of 3.1, a change of about four points or more counts as reliable. By that standard, 41 of 64 mothers, 64%, improved reliably. Crossing the cut-off of 10 was the second test: 38 of 64, 59%, scored below 10 at rescreening. Mothers who met both tests, a reliable change that ended below the cut-off, numbered 34, or 53%.

What this page is doingReporting how many individual mothers crossed both thresholds turns a mean change into a clinically interpretable result, which is what the clinical significance criterion asks for.
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Connection to Care

For a screening program, the most important clinical result may be what happens after a positive screen. A screen that finds a mother with depression and leads nowhere adds anxiety without help. Of the 118 mothers who screened positive, 81 had a warm handoff to the behavioral health clinician at the same visit, and 88 were connected to care of some kind, including the practice's clinician, their own obstetric or primary care clinician or a community program, within 30 days. That 75% connection rate is the project's most direct evidence of benefit, because collaborative models that link screening with managed follow-up have been shown in a large review of randomized trials to improve depression outcomes in adults compared with usual care (Archer et al., 2012).

Safety

Nine mothers, fewer than one in a hundred screened, answered the scale's item on self-harm with any score above zero. All nine were assessed by the behavioral health clinician or the pediatric clinician the same day under the practice's safety protocol. Two were referred for urgent psychiatric evaluation, and the others received safety planning and follow-up. These nine are a small number statistically but a large one clinically: before the project, the practice had no routine way of learning that a mother of an infant in the waiting room was thinking of harming herself.

What It Means for Infants

The screening was of mothers, but the setting was the infant's visit, and the infant is part of the clinical meaning. Untreated postpartum depression is associated with difficulties in feeding, sleep routines and the early relationship between mother and baby, which is why the national pediatric recommendation places screening in the well-child visit (Earls et al., 2019). The project did not measure infant outcomes, so it cannot claim benefits for the babies. What it can say is that for the 88 mothers connected to care, the pediatric practice acted on a risk to the family that it had previously left unexamined, and that the clinician seeing the infant now knows when the mother is struggling.

Why the Threshold Matters

The screening threshold shapes what clinical significance means. A meta-analysis of individual participant data reported that scores of 10 and above on the scale gave sensitivity near 0.85 and specificity near 0.84 against semi-structured interviews, and that 11 or higher maximized the two combined (Levis et al., 2020). The project used 10, accepting more false positives for fewer missed mothers. Clinically, that means some of the 118 positive screens were mothers without major depression who nonetheless benefited from a conversation about sleep, support and mood, and some of the improvement at rescreening reflects mothers who were never depressed moving further below the line.

Limits on Every Claim

The 64 rescreened mothers were those who returned for the next visit and completed the scale again, and they may have been doing better than those who did not. Scores also tend to fall over the postpartum months without intervention, and the project had no comparison group. The findings on individual change therefore describe a favorable subgroup and cannot be credited to the program alone. The findings on connection to care and safety are less affected, because they describe every positive screen.

Conclusion

Statistically, symptom scores fell sharply among rescreened mothers. Clinically, just over half of them showed change that was both reliable and brought them below the screening threshold, three in four positive-screening mothers were connected to care within a month, and nine mothers at risk of self-harm were identified and assessed the same day. The last two findings, which cover every positive screen, are the strongest evidence that the program matters.

Both deserve emphasis at the defense.

References

Archer, J., Bower, P., Gilbody, S., Lovell, K., Richards, D., Gask, L., Dickens, C., & Coventry, P. (2012). Collaborative care for depression and anxiety problems. Cochrane Database of Systematic Reviews, 2012(10), Article CD006525. https://doi.org/10.1002/14651858.CD006525.pub2

Cox, J. L., Holden, J. M., & Sagovsky, R. (1987). Detection of postnatal depression: Development of the 10-item Edinburgh Postnatal Depression Scale. British Journal of Psychiatry, 150(6), 782-786. https://doi.org/10.1192/bjp.150.6.782

Earls, M. F., Yogman, M. W., Mattson, G., Rafferty, J., & Committee on Psychosocial Aspects of Child and Family Health. (2019). Incorporating recognition and management of perinatal depression into pediatric practice. Pediatrics, 143(1), Article e20183259. https://doi.org/10.1542/peds.2018-3259

Jacobson, N. S., & Truax, P. (1991). Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology, 59(1), 12-19. https://doi.org/10.1037/0022-006X.59.1.12

Levis, B., Negeri, Z., Sun, Y., Benedetti, A., & Thombs, B. D. (2020). Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression among pregnant and postpartum women: Systematic review and meta-analysis of individual participant data. BMJ, 371, Article m4022. https://doi.org/10.1136/bmj.m4022

What the DNP 899 Module 2 instructions ask for

Clinical significance is named directly in Aspen's catalog description of DNP 899, alongside interprofessional collaboration and scholarship; with the prompt itself kept in the course, that description anchors this example. A clinical significance assignment usually asks you to explain whether your results matter for patients, not only whether they are statistically significant. A chair might require a named method, for instance minimal important differences or reliable change, or a comparison with published effects. Certain programs fold this section into the final chapter. Check the length and sources, and consider outcomes beyond your primary measure, such as safety events or connection to care. If your project included a safety protocol, the events it caught belong in this section.

How this DNP 899 Module 2 example is built

Nine headed sections carry about 1,000 words. The introduction contrasts p values with meaning for patients. The statistical results give the screening rate and the change among rescreened mothers with the test result. Reliable and clinically significant change applies a published method, stating the assumed reliability. Connection to care reports what followed positive screens, with evidence on collaborative care. Safety describes nine same-day assessments. What it means for infants explains why the pediatric setting matters without claiming infant outcomes. Why the threshold matters draws on a meta-analysis. The limits section explains which claims the rescreened subgroup weakens, and the conclusion ranks the findings.

Where the marks sit in the DNP 899 Module 2 rubric

A clinical significance paper tends to be graded on method, breadth and honesty. Method earns marks here through a named approach to individual change, applied with its assumption stated, and the margin notes explain how counting mothers who crossed both thresholds makes a mean change interpretable. Breadth comes from looking beyond symptom scores to connection to care and safety, which cover every positive screen. Honesty shows in the limits section and in declining to claim infant outcomes the project did not measure. Linking the threshold choice to published accuracy data supports the analysis. APA style across five sources accounts for what remains.

DNP 899 Module 2 help from the desk

Students often equate a small p value with an important result, which is the error this assignment is meant to correct. Ask how many patients changed in a way they would notice. Another common mistake is reporting only the primary outcome, missing clinically important events such as safety findings. Include them. Papers also apply thresholds from other populations without saying so; state the source and its limits. Some students overlook bias in the subgroup that provided follow-up data, such as patients who returned. Name it and say which claims it weakens. Finally, avoid claiming benefits for people you did not measure, however likely they seem. Report each finding with its denominator, since clinical meaning depends on who was counted.

Write yours, or have the desk draft it

This paper is an original model document written by our desk, not a submitted student paper and not an official Aspen University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

More DNP 899 and DNP sample papers

DNP 899 Module 2 questions, answered

What does DNP 899 Module 2 usually ask for?

Aspen's DNP 899 description asks students to demonstrate clinical significance, so a paper on what the results mean for patients beyond p values is a typical assignment. Check your classroom for the prompt.

What is clinically significant change?

Change large enough to matter to a patient. One common approach asks whether an individual's change exceeds measurement error and whether it moves them from the affected range into the normal range, such as below a screening cut-off.

How do I show clinical significance in a screening project?

Look beyond symptom scores to what screening led to: how many positive screens were connected to care, how quickly, and whether any safety risks were found and acted on.

Where can I find a free DNP 899 Module 2 sample paper?

Here the clinical significance paper appears whole, annotated section by section, at no cost. It is the second DNP 899 sample on the maternal depression screening capstone, following the revision paper.

How do I show clinical significance in DNP 899 Module 2?

Count how many patients changed enough to matter, for example by crossing a validated cut-off with a reliable change, and look at outcomes such as connection to care and safety events that cover everyone screened.