HLTH 8054 Week 10 Paramedic Program Evaluation Plan Example

Lifestyle and Chronic Diseases Walden University Free custom sample in 24 to 48h

Readers of this HLTH 8054 Week 10 evaluation plan example will find a community paramedic program in an imagined county, Pine County, that follows adults sent home from the emergency department with high blood pressure. Walden HLTH 8054 asks how a chronic disease program would be evaluated when its real goal, fewer strokes and heart attacks, will not show up within two years. The plan answers with an outcome chain, from first contact through kept appointments and treatment changes to blood pressure control, with a measure, data source and timing for each link. A meta-analysis of 123 trials, showing about a 20% drop in major cardiovascular events per 10 mm Hg of systolic lowering, justifies the intermediate outcome. A historical comparison group, three threats to the chain and process measures follow. In PhD in Public Health terms, the plan locates where a chain could break.

CourseHLTH 8054 Lifestyle and Chronic Diseases
WeekWeek 10
Paper typeEvaluation plan
LengthAbout 960 words, 6 pages
FormatAPA 7 student paper
SchoolWalden University
ProgramPhD in Public Health
UpdatedOctober 2026

Free sample paper for HLTH 8054 Week 10

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Evaluation Plan: A Community Paramedic Follow-Up Program for Adults Sent Home From the Emergency Department With High Blood Pressure, an Outcome Chain From First Visit to Blood Pressure Control, and Why That Intermediate Measure Can Carry the Weight

Student Name

Walden University

HLTH 8054: Lifestyle and Chronic Diseases

Instructor Name

Month Day, Year

What this page is doingThe title names the program, the chain and the problem the plan must solve, an outcome too rare to count within the evaluation period.
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Evaluation Plan: A Community Paramedic Follow-Up Program for Adults Sent Home From the Emergency Department With High Blood Pressure, an Outcome Chain From First Visit to Blood Pressure Control, and Why That Intermediate Measure Can Carry the Weight

The Program and the Problem It Poses for Evaluation

Pine County, an imagined county of about 140,000 residents, runs a program in which community paramedics visit adults who were discharged from the emergency department with a high blood pressure reading and no regular source of primary care. Over six weeks, a paramedic makes up to four home visits, rechecks blood pressure with a validated device, reviews any medicines the person already has, schedules a primary care appointment and arranges transport if needed, and connects the household to food assistance or pharmacy discount programs. The county's goal is to prevent strokes and heart attacks. The evaluation problem is that, over a two-year evaluation, too few of these events will occur among a few hundred participants to show a difference. The plan therefore builds an outcome chain from the program's first contact to blood pressure control as an intermediate outcome, and argues that this measure can carry the weight of the evaluation.

What this page is doingStating the evaluation problem at the start explains why the plan relies on an intermediate outcome rather than avoiding the issue.
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The Outcome Chain

Table 1

Outcome Chain With Measures, Data Sources and Timing

LinkMeasureData sourceTiming |
ContactShare of eligible adults reached and enrolledED referral log; program recordsMonthly |
Visits deliveredVisits completed per participantParamedic visit formsMonthly |
Proximal outcome 1Primary care appointment kept within 30 daysClinic scheduling records30 days after enrollment |
Proximal outcome 2Treatment started or adjustedPharmacy fill data; clinic notes90 days |
Intermediate outcomeBlood pressure below 130/80 mm Hg, or a reduction of 10 mm Hg systolicClinic readings; paramedic readings at final visit6 and 12 months |
Long-term outcomeStrokes and heart attacksHospital discharge data; vital recordsTracked beyond the evaluation |

Each link has its own measure so that a break in the chain can be located, not only detected.

Why Blood Pressure Can Stand in for Strokes and Heart Attacks

An intermediate outcome is acceptable when treatment trials have shown that changing it changes the outcome that matters. Blood pressure meets that standard better than most. A meta-analysis of 123 trials with more than 600,000 participants found that each 10 mm Hg fall in systolic pressure went with about 20% fewer major cardiovascular events, coronary heart disease by 17%, stroke by 27% and heart failure by 28%, and all-cause mortality by 13%, with similar proportional effects across levels of baseline blood pressure (Ettehad et al., 2016). Because the relationship holds across many trials, drug classes and populations, a program that lowers blood pressure can reasonably be expected to reduce strokes and heart attacks in proportion, even if the evaluation cannot observe the events directly.

The chain's target follows the 2017 ACC/AHA blood pressure guideline, which placed stage 1 hypertension at 130-139/80-89 mm Hg and set a general treatment goal under 130/80 for most adults (Whelton et al., 2018). The plan also counts a 10 mm Hg systolic fall as a meaningful result, since that is the unit in which the trial evidence is expressed.

Comparison Group

A randomized design is not feasible because the county wants to offer the program to every eligible adult. The plan uses a comparison with adults discharged with high blood pressure in the year before the program began, drawn from the same emergency department records and matched on age, sex and initial reading. A similar design was used to evaluate a rural community paramedicine program in South Carolina, which compared 68 enrollees with 125 comparison patients and reported a mean fall of 7.2 mm Hg systolic among hypertensive participants, along with fewer emergency and inpatient visits (Bennett et al., 2018). That study shows the design is workable; it also shows its weakness, since enrollees and comparisons may differ in ways that matching cannot remove.

Threats to the Chain

Three threats could break the link between the program and the intermediate outcome. First, regression to the mean: blood pressure measured in an emergency department is often high because of pain or stress, and some readings will fall on their own. The plan addresses this by using the paramedic's first home reading, not the emergency reading, as the baseline, and by applying the same rule to the comparison group where records allow. Second, missing data: people who do not attend primary care will have fewer clinic readings. The paramedic's final-visit reading provides a measure for every participant who completes the program, and the analysis will report how many had no reading at all. Third, measurement differences: home and clinic readings are not identical, so the plan reports them separately.

Process Measures

The chain also tells the county where to look if the intermediate outcome does not move. If enrollment is low, the referral link is failing. If visits happen but appointments are not kept, transport or scheduling is the problem. If appointments are kept but treatment is not started, the problem lies in primary care. Each link has a measure so that the county can see which part needs repair.

What the Plan Will and Will Not Show

The plan can show whether participants reached blood pressure control more often than comparable adults in the year before, and at which link the chain was strongest or weakest. It cannot prove that the program prevented any particular stroke or heart attack. The case that it did will rest on the strength of the trial evidence linking blood pressure to those events. The county will continue to track strokes and heart attacks in hospital and vital records beyond the evaluation period, so that the long-term outcome is eventually observed.

References

Bennett, K. J., Yuen, M. W., & Merrell, M. A. (2018). Community paramedicine applied in a rural community. The Journal of Rural Health, 34(S1), s39-s47. https://doi.org/10.1111/jrh.12233

Ettehad, D., Emdin, C. A., Kiran, A., Anderson, S. G., Callender, T., Emberson, J., Chalmers, J., Rodgers, A., & Rahimi, K. (2016). Blood pressure lowering for prevention of cardiovascular disease and death: A systematic review and meta-analysis. The Lancet, 387(10022), 957-967. https://doi.org/10.1016/S0140-6736(15)01225-8

Whelton, P. K., Carey, R. M., Aronow, W. S., Casey, D. E., Jr., Collins, K. J., Dennison Himmelfarb, C., DePalma, S. M., Gidding, S., Jamerson, K. A., Jones, D. W., MacLaughlin, E. J., Muntner, P., Ovbiagele, B., Smith, S. C., Jr., Spencer, C. C., Stafford, R. S., Taler, S. J., Thomas, R. J., Williams, K. A., Sr., ... Wright, J. T., Jr. (2018). 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults. Hypertension, 71(6), e13-e115. https://doi.org/10.1161/HYP.0000000000000065

HLTH 8054 Week 10 instructions, in plain terms

Here the task is an evaluation design for a community program that addresses a chronic disease. The plan should describe the program, set out an outcome chain or logic model, and choose measures, data sources and timing for each link. Faculty expect a justification for any intermediate outcome, based on evidence that changing it changes the long-term outcome. The design should be feasible for the program and its weaknesses named. Threats such as regression to the mean and missing data deserve attention. The plan should say what it can and cannot show. Six pages in APA style is common.

Inside the HLTH 8054 Week 10 example

The plan describes Pine County's program of up to four paramedic home visits, with blood pressure checks, medicine review, scheduling, transport and links to food and pharmacy help, and explains why strokes cannot be counted within the evaluation. Table 1 sets out six links in the chain with measures, sources and timing. A justification section cites Ettehad and colleagues' meta-analysis for the proportional reductions in events per 10 mm Hg and Whelton and colleagues' guideline for the 130/80 target. The comparison section uses adults discharged in the year before the program and cites Bennett and colleagues' rural community paramedicine evaluation as a similar design. Threats cover regression to the mean, missing readings and home against clinic measurement. Process measures show where to look if the chain breaks. A closing section states what the plan can and cannot prove.

Reading the HLTH 8054 Week 10 rubric

Plans this week are graded on whether the intermediate outcome is justified with evidence. Choosing blood pressure without explaining why it can stand in for strokes and heart attacks loses substantial credit. The rubric rewards an outcome chain in which every link has a measure, a source and a timing. Faculty value designs that fit the program's reality and name their own weaknesses honestly. Attention to regression to the mean is a mark of a careful plan when the program enrolls people after a high reading. Process measures that locate breaks in the chain show practical judgment. A clear statement of what the plan cannot prove completes the analysis. Accurate tables and references finish the marks.

HLTH 8054 Week 10 help from the desk

Evaluation plans often promise to measure the long-term outcome directly, even when the numbers make that impossible within the evaluation period. Others choose an intermediate outcome without justification. Some plans also overlook regression to the mean, so readings that would have dropped anyway get credited to the program. To strengthen your plan, write the program's goal and ask whether the outcome will occur often enough to count. If not, build a chain and justify the intermediate link with trial evidence. Give every link a measure, source and timing. Name the design's main weaknesses and how you will check them. An evaluation plan for a different chronic disease program, built on the same kind of chain, can be written for you.

Get a HLTH 8054 Week 10 example written to your instructions

Attach the evaluation prompt and rubric, and describe the chronic disease program you are evaluating. The plan returned draws an outcome chain with measures, sources and timings, argues for any intermediate outcome it relies on, and extends follow-up beyond the study window. The county and program are imagined. Delivered in 24 to 48 hours, with the first free of charge.

More HLTH 8054 papers and PhD in Public Health samples

HLTH 8054 Week 10 questions, answered

What is an intermediate outcome, and when is it acceptable?

An intermediate outcome is a measure that changes sooner than the outcome a program ultimately aims at, such as blood pressure in place of stroke. It is acceptable when strong evidence links changes in it to changes in the distal outcome. The sample relies on blood pressure because treatment trials support that link, and it notes that many intermediate measures lack such support.

How long should the evaluation period be?

Long enough for the chosen outcomes to change. For blood pressure control, a year or two is often workable; for strokes and heart attacks, the study would need to be far longer or far larger. The sample matches outcomes to a two-year window and proposes record linkage for the rest. Your plan should state the reasoning behind whatever period you choose.

Where can I find a free HLTH 8054 Week 10 sample paper?

The complete Week 10 evaluation plan is on this page, with a six-link outcome chain for a community paramedic blood pressure program, the justification for its intermediate outcome and three references.

What comparison group does the plan use?

Adults discharged from the same emergency department with high blood pressure in the year before the program began, matched on age, sex and initial reading, since randomization is not feasible.

How does the plan handle regression to the mean?

It uses the paramedic's first home reading, rather than the emergency department reading, as the baseline, because readings taken during pain or stress are often high and may fall without any program.