| Course | DNP 850B Project Proposal |
|---|---|
| Module | Module 5 |
| Paper type | Measures and instruments section |
| Length | About 1,021 words, 6 pages |
| Format | APA 7 student paper |
| School | Aspen University |
| Program | DNP |
| Updated | September 2026 |
Free sample paper for DNP 850B Module 5
Measuring What Matters Accurately: Outcomes, Processes, Balancing Measures and Instruments for a Home Blood Pressure Project
Student Name
Doctor of Nursing Practice Program, Aspen University
DNP 850B: Project Proposal
Instructor Name
Month Day, Year
Measuring What Matters Accurately: Outcomes, Processes, Balancing Measures and Instruments for a Home Blood Pressure Project
A project's findings can be no better than its measures. If office readings are taken carelessly or home devices are inaccurate, a real change in blood pressure can be hidden, or a false one created. This paper drafts the measures section of my DNP proposal, a 12-week program in which clinic nurse care managers review home readings and adjust treatment under a signed protocol. It defines the outcome, process and balancing measures, describes the instruments and the evidence for their validity and reliability, explains how fidelity will be tracked and states how measurement error will be kept small.
The Family of Measures
The table lists each measure with its definition, source and timing.
| Type | Measure | Operational definition | Source and timing |
|---|---|---|---|
| Primary outcome | Office systolic pressure | Mean of two standardized readings at the week-12 visit minus mean at baseline | Record; baseline and week 12 |
| Secondary outcome | Blood pressure control | Share of patients with week-12 mean below 140/90 mm Hg | Record; week 12 |
| Process | Reading transmission | Share of enrolled patients sending at least six readings in a week | Portal and phone log; weekly |
| Process | Time to action | Days from a weekly average at or above 135/85 to a medication change or documented reason for none | Nurse log; weekly |
| Process | Titrations | Number of protocol steps per patient | Record; weeks 1 to 12 |
| Balancing | Low blood pressure and laboratory events | Home average below 100 systolic, potassium above 5.5 mmol/L or creatinine rise above 30% | Nurse log and laboratory results; ongoing |
| Balancing | Unplanned care | Emergency or urgent care visits for any cause | Record and patient report; week 12 |
| Patient-reported | Adherence behaviors | Hill-Bone scale total score | Survey; baseline and week 12 |
Primary Outcome: Standardized Office Measurement
Office systolic pressure was chosen as the primary outcome because it is the measure used for the clinic's quality reporting and because the historical comparison group has office readings but no home readings. Its weakness is well known: office readings vary with technique. The national scientific statement on measurement identifies common errors, including talking during measurement, an unsupported arm, crossed legs, a full bladder, no rest period and a cuff of the wrong size, each of which can shift readings by several millimeters of mercury (Muntner et al., 2019). The project will therefore require the technique the statement recommends: five minutes of quiet seated rest, back and arm supported, feet on the floor, the correct cuff on a bare arm, and two readings a minute apart, averaged. Medical assistants will be trained and checked before enrollment and observed again at week 6.
This choice improves the project's own readings but creates a known problem for the comparison: the historical group's readings were taken without the standardized method. The effect on the comparison is uncertain and will be stated as a limitation.
Home Devices
Home readings drive the weekly titration decisions, so the devices must be accurate. The project will use only upper-arm oscillometric devices that appear on the national validated device listing, which accepts devices that have passed a recognized validation protocol. The current universal standard, agreed by the major standards bodies, requires testing on at least 85 people across a range of blood pressures and arm sizes, and it sets limits on the mean and standard deviation of differences between the device and reference readings (Stergiou et al., 2018). Wrist and finger devices will not be used. Each patient's cuff size will be matched to measured arm circumference at enrollment, and patients' own devices will be accepted only if the model is on the listing and its reading is within 5 mm Hg of the clinic's reading at a side-by-side check.
Patient-Reported Adherence: The Hill-Bone Scale
Because the protocol assumes that patients take the medications prescribed, the project needs a measure of adherence behaviors. The Hill-Bone Compliance to High Blood Pressure Therapy Scale has 14 items in three areas: reducing sodium intake, keeping appointments and taking medication, each answered on a four-point scale (Kim et al., 2000). Its developers reported internal consistency, with standardized alpha coefficients of 0.74 and 0.84 in two community samples of adults with hypertension, and evidence of predictive validity: higher scores were associated with lower blood pressure and with control at baseline and follow-up. The scale was designed with attention to low literacy, which suits the clinic's population. Patients who read Spanish will complete a Spanish version, and the project will report its internal consistency in this sample rather than assume it.
Fidelity
A fidelity checklist will be completed by the nurse for each patient each week, recording whether the average was calculated, whether the protocol step matched the threshold, whether required laboratory tests were ordered, and whether the contact was documented in the chronic care note. The medical director will audit a random 10% of weekly reviews against the protocol. Fidelity will be reported as the share of reviews in which every item was met, and the audit will show whether nurse self-report agrees with the record.
If fidelity falls below 90% in any two-week period, the team will review the missed items at its next huddle and record the fix in the project log.
Limiting Measurement Error
Several steps will keep error small. Baseline and follow-up office readings will each be the mean of two readings. Home averages will exclude the first day of readings after any medication change, when values are unstable. All data will come from the record or the portal rather than from memory, and the project will keep a data dictionary defining every variable. A second person will check a sample of 10 records against the extracted data set. Missing week-12 readings will be recorded as missing and reported, not imputed, in the primary analysis.
Conclusion
The measures section defines one primary outcome, supporting process and balancing measures, and a patient-reported adherence scale, each with a source and time point. Accuracy is protected by standardized office technique, validated home devices, a reliable adherence instrument, a fidelity checklist and simple checks on data quality. Together they allow the project's result to be trusted and explained.
References
Kim, M. T., Hill, M. N., Bone, L. R., & Levine, D. M. (2000). Development and testing of the Hill-Bone Compliance to High Blood Pressure Therapy Scale. Progress in Cardiovascular Nursing, 15(3), 90-96. https://doi.org/10.1111/j.1751-7117.2000.tb00211.x
Muntner, P., Shimbo, D., Carey, R. M., Charleston, J. B., Gaillard, T., Misra, S., Myers, M. G., Ogedegbe, G., Schwartz, J. E., Townsend, R. R., Urbina, E. M., Viera, A. J., White, W. B., & Wright, J. T., Jr. (2019). Measurement of blood pressure in humans: A scientific statement from the American Heart Association. Hypertension, 73(5), e35-e66. https://doi.org/10.1161/HYP.0000000000000087
Stergiou, G. S., Alpert, B., Mieke, S., Asmar, R., Atkins, N., Eckert, S., Frick, G., Friedman, B., Graßl, T., Ichikawa, T., Ioannidis, J. P., Lacy, P., McManus, R., Murray, A., Myers, M., Palatini, P., Parati, G., Quinn, D., Sarkis, J., . . . O'Brien, E. (2018). A universal standard for the validation of blood pressure measuring devices: Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for Standardization (AAMI/ESH/ISO) collaboration statement. Hypertension, 71(3), 368-374. https://doi.org/10.1161/HYPERTENSIONAHA.117.10237
Reading the DNP 850B Module 5 assignment instructions
Measurement is the focus of this module. The catalog describes DNP 850B as the course in which the methodology is solidified, and because the module prompt is not public, the example was written to that description. A measures assignment usually asks you to define each outcome and process measure, name the instruments, report their validity and reliability, and explain when and how data will be collected. Your chair may want a measures table, copies of instruments as appendices or permission letters for copyrighted scales. Some programs ask you to include fidelity measures here. Check length and source requirements, and confirm that you have permission to use any instrument before you list it.
How the DNP 850B Module 5 example is put together
The example is roughly 1,030 words across eight sections. The opening explains why weak measures can hide or invent a change. A table lists eight measures with their type, definition, source and timing. The primary outcome section explains why office systolic pressure was chosen, lists the technique errors the national statement warns about, and admits that standardization creates a difference from the historical group. The home devices section sets validation and cuff-fitting rules. The Hill-Bone section reports the scale's structure, reliability and validity, and commits to checking reliability in this sample. Fidelity describes the weekly checklist and audit. A section on limiting error lists averaging, exclusion of unstable readings, a data dictionary and a second-person check, and the conclusion ties the measures together.
Where the marks sit in the DNP 850B Module 5 rubric
A measures section is usually graded on definitions, instrument quality and data integrity. Definitions earn marks when each measure has an operational meaning, a source and a time point, and the margin notes show the table doing that work. Instrument quality is shown by reporting actual reliability values and the samples they came from, and by planning to check reliability locally. Data integrity comes from device standards, standardized technique, fidelity audits and a second-person check of records. Admitting the measurement difference with the historical group shows critical thinking. The primary outcome is justified, not simply named. The last marks cover APA formatting of the table and correct citation of the measurement statement, the validation standard and the scale.
DNP 850B Module 5 help from the desk
Students often name an instrument and write that it is valid and reliable, with no numbers or sources. Report the statistic, its value and where it came from. Another common mistake is choosing measures that cannot be collected at the site, such as a survey no one has time to give. Test feasibility first. Papers also forget balancing measures, although any medication change carries risk. Add them. Some students use home readings as the primary outcome while their comparison group has only office readings, which makes the comparison impossible. Match the outcome to the data available for both groups. Finally, confirm permission for copyrighted instruments and name the language versions you will use.
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.
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DNP 850B Module 5 questions, answered
What does DNP 850B Module 5 usually ask for?
Aspen's DNP 850B description covers solidifying the project's methodology, so a section on measures and instruments with their validity and reliability is a typical assignment. Check your classroom for the prompt.
How do I report the reliability of an instrument?
Give the statistic, such as Cronbach's alpha, its value and the sample it came from, then say whether you will check it in your own sample. Borrowed reliability may not hold in a different population.
What is a balancing measure?
A measure that watches for harm the change might cause elsewhere. For medication titration, low blood pressure, abnormal potassium or kidney results and unplanned urgent care visits are typical balancing measures.
Where can I find a free DNP 850B Module 5 sample paper?
The whole measures and instruments section appears on this page with its measures table and margin notes, free for anyone. It uses the home blood pressure project that runs through all eight DNP 850B samples, so each measure can be traced to the analysis plan in Module 6.
Which outcomes fit a DNP 850B Module 5 blood pressure project?
Office systolic pressure often serves as the primary outcome, with the proportion reaching the control threshold as a secondary one. Add process measures that show the program was delivered, balancing measures for safety and a validated adherence scale if behavior matters to your question.