NURS FPX 9010 Assessment 3: Project Design and Methodology
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Assessment Overview:
NURS FPX 9010 Assessment 3 Project Design and Methodology focuses on developing a detailed plan for administering and assessing your DNP design. You’ll describe your intervention, exploration design, population, data collection, analysis, and ethical considerations—ensuring your design is methodologically sound and doable.
How to Pass NURS FPX 9010 Assessment 3: Project Design and Methodology
- Restate the problem and purpose clearly from Assessment 1 with SMART objectives.
- Choose an appropriate study design (quasi-experimental, QI, or mixed-methods) and justify why it fits your clinical setting.
- Describe the setting and population in detail, including inclusion/exclusion criteria, sample size, and rationale.
- Fully outline your intervention—who delivers it, what it includes, duration, frequency, and digital or educational components.
- Specify data collection tools (MMAS-8, BP measurements, app logs) and analysis plans (paired t-test, descriptive stats, thematic analysis).
- Address ethical considerations—describe IRB approval, informed consent, confidentiality, and participants’ rights.
- State expected outcomes linked to objectives (e.g., ≥25% improvement in adherence, 10 mmHg BP reduction).
- Write clearly and professionally, following APA 7th edition formatting.
Sample Assessment:
Introduction
A well-structured design ensures the rigor, validity, and feasibility of a Doctor of Nursing Practice (DNP) design. This paper presents the design and methodology for a DNP design addressing low drug adherence among hypertensive grown-ups in primary care. The design proposes administering a nanny-led digital adherence program that integrates mobile monuments, education, and follow-up to meliorate adherence and blood pressure control. The design includes population, setting, intervention, data collection, evaluation, and ethical considerations.
Project Purpose and Objectives
The purpose of this DNP design is to ameliorate drug adherence among grown-ups diagnosed with hypertension through a structured nanny-led digital health intervention.
Objectives:
- Increase drug adherence by 25 within 12 weeks.
- meliorate average blood pressure control among actors.
- Enhance patient engagement and tone-operation chops.
- estimate the feasibility and adequacy of the digital adherence program.
Project Design
This design will use a quasi-experimental retest-posttest design to estimate changes in adherence and blood pressure before and after performance.
Rationale:
A quasi-experimental design allows practical evaluation in a real-world clinical terrain where randomization isn’t doable. This design supports outgrowth comparison over time and measures the effectiveness of interventions in clinical practice.
Setting and Population
Setting:
The design will take place in a primary care clinic combined with a large healthcare system serving roughly 3,000 adult cases annually.
Population:
- grown-ups aged 30–75 diagnosed with hypertension.
- specified at least one antihypertensive drug.
- Own a smartphone and can operate introductory digital operations.
- Rejection of cognitive impairment or severe comorbidities.
Sample Size:
A convenience sample of 30 actors will be signed. This size is respectable for an airman design to assess feasibility and effect size.
Intervention Description
The nanny-led digital adherence program includes
- original assessment baseline adherence, blood pressure, and demographic data.
- Education Session A 20-nanosecond substantiated session on hypertension operation and drug significance.
- Mobile Reminders Daily drug monuments using a secure app.
- Follow-up Calls: Quotidian 10-nanosecond nanny calls for provocation, troubleshooting, and underpinning.
- Post-Intervention Evaluation Adherence and blood pressure reassessment at 12 weeks.
The intervention aligns with confirmation from former studies (Chen et al., 2022; Johnson et al., 2022) showing advanced adherence and case satisfaction through nanny-led and digital approaches.
Data Collection Methods
Quantitative Data:
- drug adherence Measured using the Morisky Medication Adherence Scale (MMAS-8).
- Blood Pressure Measured using a calibrated automatic sphygmomanometer at birth and week 12.
- Engagement data collected from app operation logs.
Qualitative Data (Optional):
Short post-intervention interviews will explore party satisfaction and barriers to adherence.
Data Analysis Plan
- Quantitative paired t-tests will compare pre- and post-intervention adherence and blood pressure. Descriptive statistics (mean, SD, and chances) will epitomize demographics and adherence rates.
- Qualitative Thematic analysis will be used to identify patterns from interview responses.
- Software IBM SPSS Statistics (Version 29) will be used for quantitative analysis.
Ethical Considerations
- Institutional Review Board (IRB) blessing will be attained first for performance.
- Informed concurrence will be secured from all actors.
- Data will be de-linked to ensure sequestration and confidentiality.
- Actors can withdraw at any time without penalty.
- The study poses minimum trouble, primarily related to data sequestration.
Evaluation Plan
Primary Outcome:
- Increase in MMAS-8 adherence scores.
Secondary Outcomes:
- Reduction in mean systolic/diastolic blood pressure.
- party satisfaction (check-rested).
Evaluation will concentrate on effectiveness, feasibility, and sustainability within the primary care terrain.
Expected Outcomes
- Advanced drug adherence rates (> 25).
- drop in average systolic BP by 10 mmHg.
- Positive party feedback regarding the usability and helpfulness of the digital tool.
- Increased nanny engagement in case-centered technology interventions.
Conclusion
The proposed nanny-led digital adherence program provides a structured, confirmation-tested frame for addressing drug nonadherence in hypertensive cases. By integrating technology, education, and follow-up, this DNP design promotes team operation and sustainable health enhancement. The methodology ensures rigor, ethical integrity, and practical connection—laying a strong foundation for performance and evaluation in unborn assessments.
References (APA 7 Format)
- Basu, S., Patel, R., & Kim, M. (2021). Behavioral strategies to ameliorate drug adherence in cases with hypertension A regular review. Journal of Cardiovascular Nursing, 36(4), 321–329. https://doi.org/10.1097/JCN.0000000000000756
- Bosworth, H. B., Olsen, M. K., & Granger, B. B. (2021). drug adherence A call for bettered measures to align with the patient experience. American Heart Journal, 240, 34–40. https://doi.org/10.1016/j.ahj.2021.06.006
- Chen, Y., Li, J., & Wang, Z. (2022). Effectiveness of mobile-assisted interventions on drug adherence in cases with hypertension A meta-analysis. Journal of Hypertension, 40(6), 1248–1257. https://doi.org/10.1097/HJH.0000000000003098
- Johnson, R. L., Evans, P., & Clark, J. (2022). Team-tested interventions to improve drug adherence among hypertensive grown-ups. Primary Care Nursing Journal, 29(2), 145–153.
- Li, X., Zhou, Q., & Zhang, H. (2023). The part of mobile health in managing hypertension Integrating technology into nursing practice. Digital Health Nursing, 7(1), 12–20.
Rubric Breakdown
| Criteria | Basic | Proficient | Distinguished |
| Problem & Purpose | Vaguely restates problem | Clearly links to Assessment 1 | Clearly restates problem with measurable, time-bound objectives (SMART) |
| Study Design | Minimal rationale | Identifies design type (e.g., quasi-experimental) | Justifies design choice, showing alignment with problem and feasibility |
| Population & Setting | Limited description | Describes participants and clinic | Provides detailed inclusion/exclusion criteria, sample size rationale, and setting context |
| Intervention | General description | Lists components | Fully describes who, what, when, where, and how; aligned with evidence-based practice |
| Data Collection & Analysis | Limited tools | Identifies instruments | Specifies quantitative/qualitative methods, tools (MMAS-8, BP measures), and statistical tests |
| Ethical Considerations | Mentions IRB | Mentions IRB & consent | Clearly explains IRB approval, confidentiality, informed consent, and participant rights |
| Expected Outcomes | Vague expectations | Lists outcomes | Connects expected outcomes to objectives with measurable metrics and clinical relevance |
| APA & Scholarly Writing | Errors in APA or grammar | Mostly correct APA & writing | Professional, clear, APA 7th edition compliant |
Step-by-Step Guide
Step 1: Restate the Problem and Purpose
Compactly recap your DNP problem from former assessments and define clear design objects.
Step 2: Choose a Design
Select a quantitative, qualitative, or mixed-style design based on your problem and available data.
Step 3: Define Setting and Population
Describe where the design occurs and who participates. Include addition/rejection criteria and a sample size explanation.
Step 4: Describe the Intervention
easily outline what you’re administering, who delivers it, how constantly, and for how long.
Step 5: Data Collection and Analysis
Identify tools, instruments, and statistical tests (e.g., MMAS-8, t-test, thematic analysis).
Step 6: Address Ethics
Describe IRB blessing, informed concurrence, confidentiality, and party rights.
Step 7: Create a Timeline
Map design phases (planning, intervention, and evaluation) with week-by-week mileposts.
Step 8: Conclude with Expected Outcomes
epitomize anticipated results and counteraccusations for practice.
Frequently Asked Questions
1. What type of design should I use?
Most DNP systems use quasi-experimental or quality enhancement (QI) designs rather than randomized trials.
2. How detailed should my intervention be?
Include who, what, when, where, and how—the clearer the performance plan, the better.
3. Do I need IRB blessing at this stage?
You don’t need formal IRB blessing yet, but you must describe how you’ll gain it before performance.
4. How long should my design last?
Birdman DNP systems constantly gauge 8–12 weeks, depending on feasibility and setting.
5. Should I include both qualitative and quantitative data?
You can—mixed-style designs give richer evaluation, though quantitative-only is constantly sufficient.
6. What’s the paper length?
generally 6–8 runners, banning references and supplements.
7. What’s next after Assessment 3?
In NURS FPX 9010 Assessment 3, you’ll develop the design performance and evaluation plan based on this design.
Integrity Note
Note: Only use this assessment example for learning and structure purpose. Do not submit as your own work.
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