| Course | DNP 752 DNP Applied Project III (DNP/752) |
|---|---|
| Week | 4 |
| Paper type | Discussion section |
| Length | about 1,220 words, 4 double-spaced pages plus title page and references |
| Format | APA 7 student paper |
| School | University of Phoenix |
| Program | DNP |
| Updated | September 2026 |
Free sample paper for DNP 752 Week 4
What the Numbers Mean: Interpreting Screening, Follow-Up and Distress Results From a Safety-Net Pilot Against Published Prevalence, Trial and Implementation Evidence
[Student Name]
University of Phoenix
DNP/752: DNP Applied Project III
Week 4 Assignment: Discussion Section
[Instructor Name]
[Date]
The health center, staff and figures are composites written for a model paper.
Answer to the Practice Question
For the east side clinic's adult patients with type 2 diabetes, adding a two-item distress screen with full-scale assessment and care manager follow-up raised the share of eligible visits with a distress screen from none to 81.4%, with 85.2% of positive screens followed up within 14 days, and distress fell among patients who had a repeat assessment. The pathway met its process targets and was rated acceptable and appropriate by staff. How much of the distress change the pathway caused cannot be determined from this design, and the discussion below explains why.
How Common Distress Was
About one in three screened patients scored positive, a figure that sits near the 36% Perrin et al. (2017) pooled across studies of people with type 2 diabetes. The similarity is reassuring about the screener's performance at the site, since a rate far above or below published prevalence would have suggested a problem with how the questions were asked. It also shows that a safety-net population, which the literature under-represents, is not dramatically different in this respect, at least as measured by a two-item screen.
Why Insulin Users Screened Positive More Often
Forty-four percent of patients using insulin screened positive, compared with 29% of those who were not. Delahanty et al. (2007) found the same pattern in a primary care sample and traced most of it to more severe disease and heavier self-care demands. At the clinic, insulin users also had higher A1C values, so the difference probably reflects both the burden of insulin itself and the longer, harder course of diabetes that leads to it. For practice, the finding suggests that the start of insulin is a moment to ask about distress deliberately, not only at the scheduled screen.
The Size of the Distress Change
The mean item score fell by 0.54 points, a standardized effect of nearly one standard deviation of the paired differences. Published effects are smaller. Every arm of the REDEEM trial, the education control among them, showed a significant reduction (Fisher et al., 2013), and pooled trials of psychological treatment for elevated distress produced a standardized effect of 0.48 (Schmidt et al., 2018). There are three reasons the pilot's change is probably larger than the pathway's true effect. First, patients entered the analysis because they screened high, and high first scores tend to fall on remeasurement even without intervention. Second, the 13 patients without repeat scores started higher and were not included; a sensitivity check assigning them no change reduced the average to about 0.42 points. Third, the education-only arm of REDEEM improved nearly as much as the two active arms, a hint that steady attention of almost any kind eases distress. The honest reading is that distress fell by a clinically meaningful amount among patients followed up, that some of this fall would have happened anyway, and that structured attention from care managers likely contributed.
Why Regimen Distress Fell Most
Among patients whose distress was mainly about the treatment routine, the regimen score dropped from 3.31 at entry to 2.52, more than the fall in emotional burden among patients whose distress was mainly emotional. In the REDEEM trial, regimen distress was both the highest domain at entry and the one that fell most (Fisher et al., 2013), and a later analysis of the same data by Hessler et al. (2014) found that its decline tracked with better medication adherence and glycemic control. The finding also fits the stress and coping framework used in the proposal: regimen distress reflects a judgment that one lacks the resources to keep up with treatment, and problem-solving support adds resources directly. Emotional burden reflects a sense of threat that takes longer to change, and most of those patients were introduced to the behavioral health consultant, whose work extends beyond 12 weeks.
What the Process Results Say About Implementation
The run chart signals appeared after specific changes: a one-sentence introduction, moving the screen ahead of vital signs, phone completion and next-day calls. Weekly posting of the charts and the Friday huddles were a form of audit and feedback, which a Cochrane review found produces modest average gains in professional practice, with larger gains when baseline performance is low and when feedback is repeated, specific and linked to action (Ivers et al., 2012). The pilot started from zero, fed back data every week and tied each huddle to one change, which matches the conditions under which feedback works best. The shift in screening rates is therefore reasonably attributed to the improvement cycles, more confidently than the distress change is attributed to the pathway.
Equity Findings
Screening reached 76% of eligible visits for patients who prefer Spanish, compared with 82% for English speakers, a six-point gap that stayed under the proposal's threshold for review but is not trivial. Spanish speakers were also over-represented among patients without a repeat full-scale score, four of 13. Taken together, these results suggest that the pathway worked less completely for Spanish speakers at two points: getting screened and staying in follow-up. Interpreter-mediated calls take longer to arrange, and the care managers reported more unanswered calls to numbers listed for family members. A Spanish-speaking care manager or community health worker for follow-up is a reasonable next step.
The Exploratory A1C Result
Median A1C fell from 9.4% to 9.0% among the 38 patients with values before and after. The proposal said no test would be run, and none was, because the design cannot separate any effect of the pathway from medication changes, seasonal variation or regression toward the mean in a group selected partly for high values. The result is consistent with the idea that addressing regimen distress helps self-management, but it would take a longer, controlled evaluation to show it.
Staff Experience
Acceptability and appropriateness scores above 4 suggest that staff saw the pathway as worthwhile and suited to the clinic. Feasibility, at 3.9, was lowest among medical assistants, whose comments pointed to afternoon time pressure. Feasibility rose between cycles two and three as the workflow was simplified, which suggests the score reflects the workflow more than the idea.
Objectives Against Decision Rules
The proposal set four rules for recommending adoption. A screening rate of 80% or more across the final four weeks: met, with cycle three at 93%. Timely follow-up of 85%: met, at 85.2%. Added rooming time of two minutes or less: met, at a median of 1.5 minutes. Staff scores of at least 4: met for acceptability and appropriateness, not met for feasibility at 3.9. Distress fell among patients followed up, which supports keeping the pathway but was not itself a decision rule.
Unexpected Findings
Two results were not anticipated. Referrals to the behavioral health consultant doubled, which the site can absorb now but not if the pathway spreads without added capacity. And several patients said the second screening question put words to a feeling they carried into each appointment, which suggests the screen may itself be a therapeutic acknowledgment for some patients, a possibility the literature has not examined.
Recommendation
The findings support adopting the pathway at the east side clinic, with afternoon workflow changes to improve feasibility, and planning behavioral health capacity before extending it to the health center's other sites.
References
Delahanty, L. M., Grant, R. W., Wittenberg, E., Bosch, J. L., Wexler, D. J., Cagliero, E., & Meigs, J. B. (2007). Association of diabetes-related emotional distress with diabetes treatment in primary care patients with type 2 diabetes. Diabetic Medicine, 24(1), 48-54. https://doi.org/10.1111/j.1464-5491.2007.02028.x
Fisher, L., Hessler, D., Glasgow, R. E., Arean, P. A., Masharani, U., Naranjo, D., & Strycker, L. A. (2013). REDEEM: A pragmatic trial to reduce diabetes distress. Diabetes Care, 36(9), 2551-2558. https://doi.org/10.2337/dc12-2493
Hessler, D., Fisher, L., Glasgow, R. E., Strycker, L. A., Dickinson, L. M., Arean, P. A., & Masharani, U. (2014). Reductions in regimen distress are associated with improved management and glycemic control over time. Diabetes Care, 37(3), 617-624. https://doi.org/10.2337/dc13-0762
Ivers, N., Jamtvedt, G., Flottorp, S., Young, J. M., Odgaard-Jensen, J., French, S. D., O'Brien, M. A., Johansen, M., Grimshaw, J., & Oxman, A. D. (2012). Audit and feedback: Effects on professional practice and healthcare outcomes. Cochrane Database of Systematic Reviews, 2012(6), Article CD000259. https://doi.org/10.1002/14651858.CD000259.pub3
Perrin, N. E., Davies, M. J., Robertson, N., Snoek, F. J., & Khunti, K. (2017). The prevalence of diabetes-specific emotional distress in people with type 2 diabetes: A systematic review and meta-analysis. Diabetic Medicine, 34(11), 1508-1520. https://doi.org/10.1111/dme.13448
Schmidt, C. B., van Loon, B. J. P., Vergouwen, A. C. M., Snoek, F. J., & Honig, A. (2018). Systematic review and meta-analysis of psychological interventions in people with diabetes and elevated diabetes-distress. Diabetic Medicine, 35(9), 1157-1172. https://doi.org/10.1111/dme.13709
What the DNP 752 Week 4 instructions ask
The DNP 752 Week 4 prompt usually asks students to interpret the findings of the DNP applied project in light of the literature reviewed in the proposal. Students explain what the results mean for the practice question, compare them with published studies, account for findings that were unexpected or differ from the literature, and relate the results to the theoretical and translational frameworks. Many sections also ask whether the project's objectives were met and what the findings mean for the site. Limitations and implications are sometimes included here and sometimes saved for Week 5. The section usually runs four to six pages. Faculty expect a discussion that is honest about alternative explanations, especially in a design without a comparison group, rather than one that treats every improvement as proof of success.
How this DNP 752 Week 4 example is built
The discussion begins with a one-paragraph answer to the practice question, then takes the findings in order. The positive screening rate is compared with the Perrin meta-analysis. The higher rate among insulin users is linked to Delahanty and colleagues' primary care study. The size of the distress change is set beside the REDEEM trial and the Schmidt meta-analysis, and the paper explains why a larger effect than published trials probably reflects regression toward the mean and loss to follow-up as well as the pathway. The larger drop in regimen distress is connected to the Hessler analysis and to the stress and coping framework. Process improvements are read against the Cochrane review of audit and feedback. The objectives are checked against decision rules, ending in a recommendation.
DNP 752 Week 4 grading rubric: where the points go
Rubrics for the discussion usually reward depth of interpretation and use of the literature most heavily. Faculty look for each major finding to be explained, compared with specific studies and linked to the frameworks from the proposal. Honest attention to alternative explanations, such as regression to the mean, secular trends or selective loss to follow-up, is often an explicit criterion, especially in single-site designs. Points also go to a clear statement of whether objectives were met, measured against the targets set in advance. The final points cover clarity of writing and APA style. Discussions that restate the results with adjectives attached, or that claim a causal effect the design cannot support, tend to be returned, while measured interpretations tied to evidence earn the most.
DNP 752 Week 4 help: mistakes to avoid
The most common mistake in a DNP 752 discussion is repeating results instead of interpreting them. Every paragraph should answer why a finding occurred or what it means. Another mistake is overclaiming: a single-site pilot without a control group cannot prove the intervention caused the change, so name the other explanations and weigh them. Students also cite the literature generically; compare your numbers with specific published numbers and explain differences. Connect findings to the framework you chose, which faculty expect after two courses of framework writing. Check each objective against its target, including those not met. Finally, keep limitations brief here if the course asks for them separately next week, and end with a clear recommendation for practice.
Related DNP 752 sample papers
Other DNP 752 week samples
- DNP 752 Week 1: Implementation Progress Report
- DNP 752 Week 2: Data Analysis
- DNP 752 Week 3: Results With Tables and Figures
More DNP sample papers
- DNP 730 Week 4: Improvement Science and the Model for Improvement
- DNP 740 Week 4: Screening and Surveillance Programs
- DNP 750 Week 4: Translational Framework
- DNP 751 Week 4: Methodology and Project Design
DNP 752 Week 4 questions, answered
What does DNP/752 Week 4 usually ask for?
Many sections ask students to interpret the DNP applied project's findings against the literature, explain unexpected results, relate findings to the framework and state whether objectives were met.
Where can I find a free DNP 752 Week 4 sample paper?
The discussion section above is this week's free sample, complete with comparisons to published studies and margin notes. For your own project's findings, ask for a first custom discussion at no charge.
How do I interpret DNP project results without a control group?
Describe the change, compare it with published effects, and weigh alternative explanations such as regression to the mean, outside events and loss to follow-up before concluding how much the intervention likely contributed.
What is regression to the mean?
It is the tendency of extreme first measurements to be followed by less extreme ones, so patients selected for high scores will often score lower later even without any intervention.
Should a DNP discussion compare results with the literature?
Yes; faculty expect specific comparisons with published studies, including numbers where possible, and an explanation when the project's results differ.
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