Self-measured blood pressure monitoring for a composite health center's uncontrolled patients, proposed with its evidence converted to a number needed to enroll, closes NU505 at Unit 10. Searches like "nu 505 unit 10 assignment example", "nu505 unit 10 sample" and "nu505 unit 10 example" land here.
From 52 to About 58 Percent Controlled: A Population Intervention Proposal for Home Blood Pressure Self-Monitoring With Nurse and Pharmacist Support at the Stillwell Crossing Health Center
[Student Name]
Purdue University Global
NU505: Clinical Epidemiology and Population Health Promotion
Unit 10 Assignment
[Instructor Name]
[Date]
The health center, its registry and its figures are composite; the trial and review evidence cited is published.
Population
The health center serving Stillwell Crossing keeps a hypertension registry of 2,460 adults aged 18 to 85. On each patient's most recent reading, 52 percent are controlled below 140/90 mm Hg, which leaves about 1,180 above target. The registry count is the denominator for this proposal at baseline and at follow-up, so that the before and after figures describe the same population. The profile and planning work earlier in the term showed high blood pressure at 1.32 times the county level in the two tracts, with transport barriers and changing shift schedules that make frequent office visits hard.
The Intervention
Home self-monitoring of blood pressure, paired with clinical follow-up. Patients above target receive a validated automated upper-arm cuff, loaned through the health center and, for patients who prefer it, through the branch library's lending program. They measure twice each morning and evening for three days each week, and readings are sent weekly through a cellular-connected cuff or, for patients without a smartphone, read to a medical assistant by phone. A registered nurse and a clinical pharmacist review readings weekly and adjust medication under a titration protocol approved by the center's medical director. Patients are seen in person at enrollment and at six months, and at any visit the nurse requests.
Evidence, Before Any Target
The target follows from what the intervention has been shown to do, so the evidence comes first, with each source's effect reported twice.
1. Systematic review, Uhlig et al. (2013). Self-measured monitoring with additional support, compared with usual care, across 25 comparisons. Relative or continuous effect: systolic pressure lower by 3.4 to 8.9 mm Hg at 12 months in good-quality studies, with high strength of evidence. Absolute effect on control: not pooled. Monitoring alone lowered pressure at 6 months but not clearly at 12 months, which is why this proposal includes clinical support.
3. Individual patient data meta-analysis (Tucker et al., 2017). Twenty-five trials contributed patient-level data. Relative or continuous effect: at 12 months, self-monitoring alone had no clear effect on clinic systolic pressure, about 1 mm Hg, while the effect grew with the intensity of the co-intervention added to it. Absolute effect on control: reported by intensity of support. The finding confirms that the support, not the cuff alone, does the work.
2. Cluster randomized trial, Margolis et al. (2013). Home telemonitoring with pharmacist management in 16 primary care clinics, 450 adults. Relative effect: systolic pressure 10.7 mm Hg lower than usual care at 6 months. Absolute effect on control: blood pressure controlled at both 6 and 12 months in 57.2 percent of the intervention group against 30.0 percent with usual care, a difference of about 27 percentage points; at 18 months, six months after the intervention stopped, 71.8 against 57.1 percent.
Why the Absolute Effect Drives the Projection
A mean reduction of several mm Hg says how much the intervention moves pressure on average, but the center's target and its annual reporting are framed as the share of patients below 140/90. What the projection needs is the difference in the share of patients reaching control, because that is the quantity that adds up across enrollees into a center-wide rate. The trial difference of 27 percentage points comes from a well-resourced integrated health system with pharmacists embedded in clinics. A safety-net center with less pharmacist time should expect less, so the projection assumes an absolute gain of 20 percentage points, about three-quarters of the trial effect.
Projection
Enrollees: 700 of the 1,180 patients above target in the first year, a realistic share given cuff supply and staff time.
Additional patients controlled: 700 times 0.20 equals 140.
Center-wide control: 52 percent of 2,460 is about 1,279 patients controlled at baseline. Adding 140 gives about 1,419, which is 57.7 percent of the registry.
Number needed to enroll: 1 divided by 0.20 equals 5 patients enrolled for each additional patient controlled.
At the trial's full effect of 27 points, the same enrollment would add about 189 patients and lift control to about 59.7 percent. The proposal sets its target at 58 percent, the conservative figure, and will report against it.
Equity
Three groups are at risk of being left out. Patients who prefer Spanish: all instructions, cuff displays where available and phone check-ins will be offered in Spanish by bilingual staff. Patients with limited literacy: teaching will use demonstration and teach-back, not written handouts alone. Patients without reliable phone or data access: phone check-ins with a medical assistant replace transmission, and the library lending program allows pickup near home. Enrollment will be tracked by language and age so that uneven reach shows up in the first quarter rather than at year end.
Cost and Resources
Cuffs cost about [$60] each, and a loaned cuff can be reused after cleaning. Staff time is the main cost: about 0.5 full-time equivalent for the registered nurse and 0.3 for the clinical pharmacist for 700 patients, plus medical assistant time for phone readings. Some of that time can be billed under remote monitoring and chronic care management codes for eligible patients.
Measurement Plan
Outcome: the center's annual hypertension control measure, the proportion of registry adults whose latest recorded reading is under 140/90, reported for all registry patients, not only enrollees. Process: patients enrolled, share transmitting readings at least three weeks in four, and medication changes per enrollee. Balancing: symptomatic low blood pressure and falls among enrollees. Results will be reviewed quarterly by the quality committee and shared with the community advisory board in plain language.
References
Margolis, K. L., Asche, S. E., Bergdall, A. R., Dehmer, S. P., Groen, S. E., Kadrmas, H. M., Kerby, T. J., Klotzle, K. J., Maciosek, M. V., Michels, R. D., O'Connor, P. J., Pritchard, R. A., Sekenski, J. L., Sperl-Hillen, J. M., & Trower, N. K. (2013). Effect of home blood pressure telemonitoring and pharmacist management on blood pressure control: A cluster randomized clinical trial. JAMA, 310(1), 46-56. https://doi.org/10.1001/jama.2013.6549
Tucker, K. L., Sheppard, J. P., Stevens, R., Bosworth, H. B., Bove, A., Bray, E. P., Earle, K., George, J., Godwin, M., Green, B. B., Hebert, P., Hobbs, F. D. R., Kantola, I., Kerry, S. M., Leiva, A., Magid, D. J., Mant, J., Margolis, K. L., McKinstry, B., ... McManus, R. J. (2017). Self-monitoring of blood pressure in hypertension: A systematic review and individual patient data meta-analysis. PLOS Medicine, 14(9), e1002389. https://doi.org/10.1371/journal.pmed.1002389
Uhlig, K., Patel, K., Ip, S., Kitsios, G. D., & Balk, E. M. (2013). Self-measured blood pressure monitoring in the management of hypertension: A systematic review and meta-analysis. Annals of Internal Medicine, 159(3), 185-194. https://doi.org/10.7326/0003-4819-159-3-201308060-00008
How this NU505 Unit 10 example is structured
Evidence comes before the objective, reversing the order many proposals use, because the target should follow from what the intervention has been shown to do. The population section fixes the denominator at the registry count so baseline and follow-up match. The intervention is described concretely enough to cost. The evidence section reports each source's effect twice, as a continuous or relative effect and as a difference in the share reaching control, and explains why the second drives the projection and why a safety-net center should assume less than the trial effect. The projection is transparent arithmetic: enrollees times the assumed gain gives additional patients controlled, and dividing by the registry gives the center-wide change, with a number needed to enroll of 5. Equity, cost and a measurement plan using the center's annual control measure close the proposal.
Get an NU505 Unit 10 example written to your instructions
Tell us the population and intervention at the heart of the Unit 10 proposal, or let the earlier units suggest one, with the prompt and grading criteria attached. The proposal follows those instructions, states the evidence as absolute effects and derives the target from it. A first custom sample is free, back in 24-48h. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
NU505 Unit 10 questions, answered
Why set the objective after the evidence rather than before?
Because an objective should be achievable by the intervention proposed. Starting from the evidence, and from how many people the program can realistically enroll, produces a target that the arithmetic supports. Starting from an aspirational number and then searching for evidence often yields a promise the program cannot keep, and that gap is usually spotted at grading.
What is a number needed to enroll?
It is the population-program counterpart of the familiar NNT: how many people must take part for one additional person to reach the outcome, here blood pressure control. It is calculated as one divided by the absolute gain. At an assumed gain of 25 percentage points, about 4 enrollees yield one additional controlled patient.
Why is the gain in the projection shown in brackets?
Because it is a placeholder for the figure in the evidence the section assigns, not a claim about any particular study. Different reviews and trials report different effects depending on the support offered and the population. The example keeps the arithmetic visible so the projection can be recalculated as soon as the assigned figure is substituted.