| Course | DPH 801 Health Determinants, Disparities, Behavior and Promotion |
|---|---|
| Module | Module 7 |
| Paper type | Doctoral logic model and evaluation outline |
| Length | About 1,039 words, 6 pages |
| Format | APA 7 student paper |
| School | Aspen University |
| Program | Doctor of Public Health |
| Updated | September 2026 |
Free sample paper for DPH 801 Module 7
Mapping the Path and Testing It: A Logic Model and Evaluation Outline for a Multilevel Hypertension Program
Student Name
Doctor of Public Health Program, Aspen University
DPH 801: Health Determinants, Disparities, Behavior and Promotion
Instructor Name
Month Day, Year
Mapping the Path and Testing It: A Logic Model and Evaluation Outline for a Multilevel Hypertension Program
A logic model shows how a program is expected to work, from resources to long-term outcomes; an evaluation tests whether it does. This paper presents both for Strong Hearts, Strong Families, the multilevel hypertension intervention designed for Black men in a composite city, and explains how the evaluation will test not only outcomes but the theory behind them.
The Logic Model
The table summarizes the model.
| What goes in | What happens | What is produced | Near-term change | Lasting change |
|---|---|---|---|---|
| Funding, pharmacists, community health workers, 50 sites, monitors, partners | Screening, pharmacist visits, peer sessions, family sessions, workplace outreach, advocacy | Men screened and enrolled; visits; sessions; sites active | Higher self-efficacy and support; medication started or adjusted; home monitoring | Blood pressure control; narrower disparity; fewer strokes and heart attacks |
Assumptions and External Factors
Several assumptions sit behind the model: that sites will host stations, that men will return monthly, that pharmacists can prescribe under agreements and that confidence and support will rise with participation. External factors include insurance changes, pharmacy closures, employer cooperation and state policy on pharmacist practice.
Evaluation Framework
The evaluation follows CDC's 2024 program evaluation framework, which emphasizes assessing context, describing the program, focusing questions and design, gathering credible evidence, justifying conclusions and acting on findings, with cross-cutting attention to collaboration, equity and learning (Kidder et al., 2024). Questions are grouped under the five RE-AIM headings (Glasgow et al., 1999).
Evaluation Questions
Reach: how many eligible men enrolled, and how representative were they? Effectiveness: did blood pressure control improve, and did the gap with other adults narrow? Adoption: how many barbershops, churches and employers took part? Implementation: were pharmacist visits, peer sessions and supports delivered as planned, and at what cost? Maintenance: did sites and funding continue after two years? Each question has a named data source and a person responsible for collecting it.
Design
Sites will join in four waves over 18 months in a stepped-wedge design, with the order set partly by lottery among sites of similar need. Comparing outcomes before and after each site joins, across waves, allows stronger inference than a simple pre-post design while ensuring every site eventually receives the program. Sites waiting to join will serve as comparisons during each period.
Measures
Primary outcome: the proportion of enrolled men with blood pressure below 140/90 at 12 months, measured with validated devices. Secondary outcomes include mean systolic change, medication adherence by refill records and emergency visits for hypertension. Construct measures include self-efficacy for blood pressure management, perceived social support and participation in peer sessions. All blood pressure readings will follow a standard protocol with seated rest and two readings averaged.
Testing the Theory
Mediation analysis will examine whether increases in self-efficacy and social support explain part of the improvement in blood pressure control, as social cognitive theory predicts (Bandura, 2004). If blood pressure improves without changes in these constructs, the theory's proposed pathway would need revision.
Equity Analysis
Results will be reported by neighborhood deprivation, age group and insurance status, and the gap in control between Black men and the city's overall adult population will be tracked annually. The evaluation will check that sites in the highest-need neighborhoods reached as many men as other sites.
Data Systems and Ethics
A secure data system will record screenings, visits and readings. Participants will consent to data use, and published figures will never identify an individual. A university institutional review board will review the evaluation because of its stepped-wedge research design.
Community Participation in Evaluation
The steering committee will help choose questions, review draft findings and decide how results are shared. Participatory evaluation builds trust, improves interpretation and increases the likelihood that findings lead to action (Israel et al., 1998).
Process Measures
Process measures include screenings per site per month, the share of eligible men enrolled, pharmacist visits completed, peer sessions held, family sessions attended and supports delivered, such as monitors and copay coverage. These show whether the program is operating as intended and help explain outcomes.
Cost-Effectiveness
The evaluation will estimate cost per participant enrolled and per participant achieving control, and compare these with published estimates for other hypertension programs. Cost data help funders and policymakers judge value.
Qualitative Evaluation
Interviews with participants, barbers, pastors and pharmacists will explore what helped or hindered participation and how the program fit community life. Qualitative findings help interpret quantitative results and guide improvement.
Using Findings
Findings will be shared with sites quarterly, with the steering committee to guide expansion, with funders annually and with the wider public health community through presentations and publications. The evaluation plan includes a mid-course review to adjust components that underperform.
Timeline
Baseline data collection begins three months before the first wave, outcome measures occur every six months at each site, the mediation analysis follows the 12-month data and the final report is due at 30 months.
Limitations of the Evaluation
The stepped-wedge design depends on sites joining as scheduled; delays could weaken comparisons. Blood pressure measured at community sites may vary more than clinic readings, though validated devices and training reduce error. Volunteers for the program are unlikely to mirror every man in the city, so results may not generalize fully.
Dissemination of Methods
The evaluation protocol will be shared publicly so other cities can adopt the same measures, allowing comparison across programs and building evidence on community-based hypertension care.
Reach Measures in Detail
Reach will be calculated as enrolled men divided by the estimated number of Black men aged 35 to 64 with uncontrolled hypertension living within two miles of participating sites, and enrolled men will be compared with that population on age, insurance and neighborhood.
Fidelity Measures
Observers will visit each site quarterly using a checklist covering measurement technique, privacy, referral steps and follow-up calls. Fidelity scores will be reported with outcomes to help explain differences between sites.
Conclusion
The logic model makes explicit how resources and activities are expected to produce better blood pressure control and a narrower disparity. The evaluation, framed by CDC's 2024 framework and organized by RE-AIM, uses a stepped-wedge design, measures both outcomes and theory constructs, examines equity and involves the community. Together they test whether the program works and why.
References
Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31(2), 143-164. https://doi.org/10.1177/1090198104263660
Glasgow, R. E., Vogt, T. M., & Boles, S. M. (1999). Evaluating the public health impact of health promotion interventions: The RE-AIM framework. American Journal of Public Health, 89(9), 1322-1327. https://doi.org/10.2105/ajph.89.9.1322
Israel, B. A., Schulz, A. J., Parker, E. A., & Becker, A. B. (1998). Review of community-based research: Assessing partnership approaches to improve public health. Annual Review of Public Health, 19, 173-202. https://doi.org/10.1146/annurev.publhealth.19.1.173
Kidder, D. P., Fierro, L. A., Luna, E., Salvaggio, H., McWhorter, A., Bowen, S.-A., Murphy-Hoefer, R., Thigpen, S., Alexander, D., Armstead, T. L., August, E., Bruce, D., Clarke, S. N., Davis, C., Downes, A., Gill, S., House, L. D., Kerzner, M., Kun, K., ... Young, K. (2024). CDC program evaluation framework, 2024. MMWR Recommendations and Reports, 73(6), 1-37. https://doi.org/10.15585/mmwr.rr7306a1
What the DPH 801 Module 7 instructions ask for
Aspen's catalog for DPH 801 links theory to program planning and evaluation, and with the seventh module's prompt kept inside the course, this paper builds a logic model and evaluation outline. Such tasks ask you to lay out the chain from resources to results and then say how you would check each link. Draw the logic model as a table. Name assumptions and external factors. Use a recognized evaluation framework. Write questions for each dimension. Choose a design stronger than a simple pre-post comparison if you can. Measure theory constructs as well as outcomes. Plan equity analysis and community involvement. Name who owns each data source. Link each evaluation question to a stakeholder who needs the answer.
Inside the DPH 801 Module 7 example
A five-column logic model opens this outline, which spans roughly 1,050 words and seventeen headings. The paper names assumptions, sets out the evaluation framework and questions, and explains the stepped-wedge design and measures before planning a test of the theory, equity analysis, data, ethics and participation. Process measures, cost-effectiveness, qualitative work, use of findings, a timeline, limitations, dissemination of methods, reach definitions and fidelity measures follow. A margin comment explains that naming assumptions tells readers what to test. The final section links the model and evaluation. Assumptions listed early are each tied to a measure later in the outline. The evaluation's limitations are stated plainly.
Where the marks sit in the DPH 801 Module 7 rubric
Logic model and evaluation papers are assessed on a coherent model, explicit assumptions, a sound design, relevant measures, a plan to test theory and attention to equity and ethics. Bandura's article on health promotion, the RE-AIM commentary, Israel's participatory research review and CDC's 2024 evaluation framework are the sources, cited in APA format. The stepped-wedge design is well matched to phased rollout. Mediation analysis shows doctoral rigor. Participation gives the community a role. Graders reward evaluations that ask why a program works, not only whether. Including cost-effectiveness, qualitative interviews and fidelity measures shows a comprehensive evaluation. A timeline and plans to share methods show readiness to carry the evaluation out.
DPH 801 Module 7 help: mistakes that cost marks
Students often draw logic models whose outcomes cannot follow from their activities, or propose evaluations that measure only final outcomes. Check each link in your model. Measure constructs your theory says will change. Choose a design you could carry out. Plan data systems and approvals early. If mediation analysis is new to you, our tutors can walk through the idea and help you phrase it accurately. Close with how findings would change the program. Define every outcome precisely, including how and when it is measured. Explain how you will handle sites that join late. Plan for missing data. Show how results will reach the community and decision makers. Keep the logic model to one page.
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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DPH 801 Module 7 questions, answered
What does DPH 801 Module 7 usually ask for?
Aspen's DPH 801 builds toward program design and evaluation, so a logic model and evaluation outline is a typical assignment. Check the prompt in your classroom.
What is a stepped-wedge design?
A design in which sites begin a program in waves, allowing comparison of outcomes before and after each site starts while every site eventually participates.
How can an evaluation test a theory?
By measuring the constructs the theory says should change and checking whether they explain changes in outcomes.
Where can I find a free DPH 801 Module 7 sample paper?
The logic model and evaluation outline is published above, with a five-column logic model for the hypertension program.
How is theory tested in the DPH 801 Module 7 evaluation?
By measuring constructs such as self-efficacy and social support and checking whether their changes explain improvements in blood pressure control.