NURS 700 Week 4 Written Assignment 2: Program Evaluation Example

Reviewed by Rachel Stanton, MSN, RN · Liberty University · Updated

This NURS 700 Week 4 example plans, before launch, how a rural primary care network will judge its new nurse-led lung cancer screening outreach: a logic model traces how protected nursing hours become completed scans, and RE-AIM supplies the questions about who is reached, what changes, which clinics take part, how faithfully nurses deliver it and whether it lasts. Liberty University NURS 700 places this 75-point DNP paper in Module/Week 4, the program evaluation module, in the same week as the forum on research ethics. Five pages are the floor, title and reference pages aside, and five sources are the minimum, Scripture and the textbook allowed. Targets, data sources and an interrupted time series design are drawn from a Kentucky quality index for screening programs and a study of community navigators.

CourseNURS 700 Advanced Nursing Research (NURS700)
Module/Week4
AssignmentWritten Assignment 2: Program Evaluation
Paper typeResearch-based paper (5+ pages, 5+ references)
Lengthabout 1,381 words, 5 double-spaced pages plus title page and references. Course guide: a research-based paper of at least five pages in current APA, exclusive of the title and reference pages, on the selected topic, with at least five references that may include the course textbook and the Bible
FormatAPA 7 student paper
Points75
SchoolLiberty University Online
ProgramDNP
Where it sitsModule/Week 4 in Liberty's published NURS 700 course guide; current sections can differ
UpdatedOctober 2026

Free sample paper for NURS 700 Week 4

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Evaluating a Nurse-Led Lung Cancer Screening Outreach Program in Rural Primary Care: A Logic Model and RE-AIM Evaluation Plan

 

[Student Name]

School of Nursing, Liberty University

NURS 700: Advanced Nursing Research

Written Assignment 2

[Instructor Name]

[Date]

 

Blue Ridge Family Health, its program and targets are composites carried from the earlier assignments; the frameworks, studies and Scripture cited are real.

Why this part earns its pointsThe opening states what is being evaluated and why, which every later measure must serve.
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Evaluating a Nurse-Led Lung Cancer Screening Outreach Program in Rural Primary Care: A Logic Model and RE-AIM Evaluation Plan

The Program and the Purpose of Evaluation

The first assignment for this course found that only 8% of eligible patients in the Blue Ridge Family Health network had completed lung cancer screening in the past year, and the critique of a large trial concluded that a coordinated stepped reminder process can raise adherence to annual screening substantially (Wernli et al., 2026). The network now plans a twelve-month program in which a registered nurse in each of its four clinics, given eight protected hours a week, will identify eligible patients from a registry, call them to offer decision counseling, pend screening orders for the clinician's signature, arrange transportation when needed and remind patients when their annual scan is due.

The purpose of the evaluation is threefold: to determine whether the program increases screening completion and annual adherence, to learn whether it reaches the patients who most need it, including those who live farthest from the scanner, and to identify what helps or hinders nurses in delivering it, so that the network can decide whether to continue, change or expand the program.

Logic Model

A logic model makes explicit how the program is expected to produce change. Table 1 summarizes it.

InputsActivitiesOutputsShort-term outcomesLong-term outcomes
Four RNs with 8 protected hours a week; EHR registry; decision aid; transport vouchers; radiology partnerRegistry review; telephone outreach; decision counseling; pended orders; scheduling and transport help; annual remindersPatients contacted; counseling sessions completed; orders pended and signed; rides arrangedHigher screening completion within 6 months; higher annual adherence; complete pack-year documentationEarlier-stage lung cancer diagnosis; a sustained screening program

The model shows that the program's effect depends on a chain of steps. If nurses cannot reach patients, or clinicians do not sign pended orders, completion will not rise even if each step is well designed, which is why the evaluation measures outputs as well as outcomes.

Why this part earns its pointsThe logic model makes the program's chain of steps visible, which explains why outputs are measured alongside outcomes.
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Evaluation Questions

Five questions guide the evaluation. Does the program reach eligible patients across all four clinics, including those who live far from the scanner or lack commercial insurance? Does it increase the proportion of eligible patients who complete a first screening scan and the proportion who return for their annual scan? Do clinicians in every clinic sign the orders nurses pend for them? Do nurses deliver outreach and counseling as planned, and what makes that hard? And are the program and its effects still present after the first year? Each measure in the plan answers one of these questions, and any measure that answers none of them has been left out, which keeps the data collection within what four busy clinics can manage.

Stakeholder Involvement

The evaluation was planned with the people who will use its results. The network's medical director and nurse manager identified the decisions the evaluation must inform, chiefly whether to fund the nurses' protected hours in a second year. The four outreach nurses helped design the outreach log so that recording a call takes less than a minute. The radiology partner agreed to share monthly scan completion data, and two patients from the network's advisory group reviewed the counseling script and suggested adding the cost of travel to the questions nurses ask. Involving these groups early makes it more likely that the results will be trusted and used.

Why this part earns its pointsListing the evaluation questions and the stakeholders who shaped them shows the plan is built for decisions, not for data collection alone.
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The RE-AIM Framework

The RE-AIM framework organizes the evaluation around five dimensions that together describe a program's real-world impact: reach, effectiveness, adoption, implementation and maintenance. It suits this program because a screening intervention can succeed in a trial yet fail in practice if it reaches only patients who were already likely to be screened, or if nurses cannot fit it into their day.

Reach

Reach is the proportion and representativeness of eligible patients who take part. The measure is the percentage of registry patients contacted and the percentage who complete decision counseling, broken down by age, sex, insurance, smoking status and driving distance to the scanner. The target is contact with 80% of registry patients within six months. If reach is high overall but low among patients more than 30 miles from the scanner, the program will add evening calls and transport help for that group before the second half of the year. Reach by distance matters most here, since rural barriers such as transportation and time off work were among the most frequently cited obstacles in interviews with clinicians and navigators (Reid et al., 2026).

Effectiveness

Effectiveness is the program's impact on outcomes. The primary measure is the monthly percentage of eligible patients completing a screening scan, and the secondary measure is adherence to annual screening among patients with a normal prior scan. Completion of pack-year documentation in the record is an intermediate measure, since missing smoking history prevents eligibility from being identified at all. At the start of the program, roughly a third of adult patients with any smoking history had no pack-year count recorded, so this measure may show early progress before scan completion does. The target is to raise past-year completion from 8% to 20% and annual adherence above 60% within twelve months.

Adoption

Adoption is the proportion of settings and staff who take up the program. The measure is the number of clinics and clinicians participating and the percentage of pended orders that clinicians sign within a week. Clinician engagement deserves attention, since patients in a pilot of a multilevel screening intervention reported that some physicians seemed hesitant or unsure about eligibility even when patients wanted to discuss screening (Sharifian et al., 2026).

Implementation

Implementation is whether the program is delivered as intended. Measures include the number of outreach calls per nurse per week, the percentage of counseling sessions using the decision aid and the time nurses spend per patient. Nurse and clinician interviews at six months will identify barriers. The Quality Implementation of Lung Cancer Screening system developed in Kentucky offers an index of six domains of screening program quality, including eligibility and radiology operations, which the network will use to audit its processes at the start and the end of the year (Studts et al., 2026).

Maintenance

Maintenance is whether the program and its effects last. Measures are completion and adherence rates six months after the funded year ends and whether the clinics keep the nurses' protected time. A program that depends on grant-funded hours and disappears when funding ends has not been maintained.

RE-AIM dimensionMeasureData sourceTarget
ReachRegistry patients contacted and counseled, by distance and insuranceOutreach log; EHR80% contacted in 6 months
EffectivenessPast-year screening completion; annual adherenceEHR and radiology records20% completion; over 60% adherence
AdoptionClinics and clinicians participating; orders signed within a weekEHR order auditAll 4 clinics; 85% signed
ImplementationCalls per nurse; decision aid use; minutes per patientOutreach log; interviews90% of sessions use the aid
MaintenanceRates 6 months after the year; protected time keptEHR; staffing recordsRates sustained; time retained

Evaluation Design

A randomized trial is not feasible within one small network, so the evaluation uses an interrupted time series. Monthly screening completion will be tracked for twelve months before the program and twelve months during it, which allows the analysis to separate the program's effect from any existing upward trend, such as the gradual rise in screening seen nationally. The design's main weakness is that another change occurring at the same time, for instance a change in the radiology contract, could explain a shift, so the evaluation will record any such events. Comparing clinics that start the program at different times would strengthen the design further. Because community screening programs differ widely in their care pathways (Walsh et al., 2026), each clinic's workflow will be mapped before launch so differences in results can be interpreted.

Data Collection, Analysis and Use

Data will come from the electronic record, radiology reports, the nurses' outreach log and interviews. Rates will be plotted monthly on run charts and analyzed with segmented regression at the end of the year. Interview data will be summarized by theme. Results will be shared quarterly with clinicians and nurses, so that problems can be fixed during the year rather than discovered at the end, and a final report will go to the network's board with a recommendation to continue, modify or end the program.

Ethical Safeguards

The evaluation uses existing records for quality improvement, so the network's quality committee, with consultation from an institutional review board, will confirm that it does not require research approval. Patient data will be de-identified in reports, and interviews will be voluntary and confidential. Patients who decline screening after counseling will be recorded as informed decliners rather than failures, since an informed decision against screening is a legitimate outcome.

Faithful Stewardship

Jesus told His followers that trustworthiness in small things shows trustworthiness in large ones (English Standard Version Bible, 2001/2016, Luke 16:10). A small rural network investing nurses' time in outreach has an obligation to know whether the investment is helping patients. Careful evaluation is how an organization proves faithful with the resources and the trust its patients have given it.

Conclusion

This evaluation plan connects a nurse-led outreach program to its intended outcomes through a logic model and measures its real-world impact through the RE-AIM framework, with data sources, targets and a feasible interrupted time series design. The plan is built to show not only whether screening rates rise but whether the program reaches rural patients who face the greatest barriers and whether it can last.

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References

English Standard Version Bible. (2016). Crossway. (Original work published 2001)

Reid, M. J., LeLaurin, J. H., Ali, S., Sorial, C., Bylund, C. L., Woodard, J. N., Wollney, E. N., Goede, D. L., Lee, J. H., Nelson, D. S., Carter-Bawa, L., & Salloum, R. G. (2026). Identifying barriers and strategies to support a community navigator-driven approach for lung cancer screening. Current Oncology, 33(9), Article 499. https://doi.org/10.3390/curroncol33090499

Sharifian, M., Hoyt, M. A., Madan, A., Lee, S., Nguyen, T. Q., & Sadigh, G. (2026). Patients' and providers' perspective of a multi-level approach to improve participation in low-dose CT for lung cancer screening (Empower LCS): A mixed-methods analysis. Academic Radiology, 33(6), 2352-2360. https://doi.org/10.1016/j.acra.2026.03.014

Studts, J. L., Knight, J. R., Yates, A. R., Alexander, J. L., Damron, K. J., Barry, A. M., Studts, C. R., Brooks, M. T., & Mullett, T. W. (2026). Quality implementation of lung cancer screening system: A system to support high-quality delivery of lung cancer screening in diverse settings. Chest, 170(2), 619-631. https://doi.org/10.1016/j.chest.2025.10.050

Walsh, C., Palazzo, L., Hansell, L., Louie, T., Long, S., Brown, M., Hippe, D. S., Coronado, G. D., Decell, K., Leone, R. J., Lodhi, S., Wysham, N., Wernli, K. J., & Triplette, M. (2026). Lung cancer screening care pathways in community settings: An examination of 3 healthcare systems. Annals of the American Thoracic Society, 23(6), 908-917. https://doi.org/10.1093/annalsats/aaoag029

Wernli, K. J., Anderson, M. L., Palazzo, L., Luce, C., Bezman, N., Rogers, K., Chin, M., Gao, H., Ralston, J., Su, Y. R., Carter-Bawa, L., Triplette, M., Tuzzio, L., Vasavada, A., & Green, B. B. (2026). Health communication and stepped reminders interventions for lung cancer screening: A randomized clinical trial. JAMA Internal Medicine. Advance online publication. https://doi.org/10.1001/jamainternmed.2026.3666

What the NURS 700 Week 4 instructions ask

Week 4 turns the course topic toward program evaluation. The paper follows the same rules as the first written assignment, five or more pages in current APA plus a title page and references, and a minimum of five sources that may include the course text and Scripture. What changes is the task: instead of finding or appraising evidence, the student decides in advance how a practice change will be judged. That means stating what the program is supposed to accomplish, choosing measures that would show whether it did, naming where each number will come from and explaining how the findings will feed decisions. Doctoral papers lean on a recognized framework to organize these choices, so the measures form a coherent plan rather than a wish list.

How this NURS 700 Week 4 example is built

The sample first describes the outreach program, four registered nurses with protected hours calling, counseling, pending orders and arranging rides, and states three purposes for evaluating it. A logic model table then shows the chain from inputs to long-term outcomes, which is why outputs are tracked too. Each RE-AIM dimension gets its own short section with a measure, a data source and a target, and a second table gathers them. Later sections choose an interrupted time series because a randomized comparison is impossible in one network, describe run charts and segmented regression, set out privacy safeguards and close with a reflection on stewardship.

NURS 700 Week 4 grading rubric: where the points go

Expect the grade to rest on a few questions. Could a stranger tell, from the description alone, exactly which program is under evaluation? Does a framework or logic model, not intuition, drive the selection of measures? Does each measure come with a source and a target that the practice could actually obtain? Is the design realistic for the setting, with its weaknesses acknowledged? Are the length, the five sources and APA handled correctly? Plans in which every outcome can be traced back to a program activity, and every measure answers an evaluation question, read as doctoral work; plans that collect data for its own sake do not.

NURS 700 Week 4 help: mistakes that cost points

Two shortcuts weaken many of these papers. One is the description-only paper that spends four pages on the program and one sentence on monitoring outcomes. The other is the overreaching plan, which proposes a randomized trial no clinic could run or chooses mortality as the outcome of a twelve-month project. Measures without sources or targets are a third problem. Build the logic model first, let RE-AIM or a similar framework sort the measures, give every measure a place to find the data and a number to aim for, and pick a design such as a time series that the practice can carry out, naming what could fool it.

Related NURS 700 sample papers

Other NURS 700 weeks

NURS 700 Week 4 questions, answered

What is NURS 700 Written Assignment 2?

The second of the three topic papers, a 75-point program evaluation plan due in the fourth module, at least five pages long and supported by five or more sources.

Where can I find a free NURS 700 Week 4 sample paper?

The full NURS 700 Week 4 program evaluation paper for a lung cancer screening outreach program, with a logic model and RE-AIM measures table, is free on this page.

What is the RE-AIM framework?

A way of judging a health program on five fronts, who it reaches, whether it works, which settings take it up, how well it is delivered and whether it endures, so that success means more than an effect in ideal conditions.

What is a logic model in program evaluation?

A one-page map of what a program uses, what it does, what it produces and what it should change in the short and long run, which shows the reasoning that connects effort to results.

What design suits a program evaluation in one practice?

When randomization is not feasible, an interrupted time series comparing monthly rates before and after the program can show change while accounting for existing trends.

Use it as a model, or ask for your own

This paper is an original model written by our desk for study. It is not a submitted student paper and not an official Liberty University document. Read it for structure and reasoning, then write your own to the instructions in your Canvas course. If you want a version built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.