HLTH 4343 Module 4 Service Model Comparison Example

Reviewed by Cornelius Ravenhill, MBA · American College of Education · Updated

This HLTH 4343 Module 4 example is a complete service model comparison in APA 7 form, weighing two ways to deliver diabetes care to Spanish-speaking adults. It was prepared for American College of Education HLTH 4343, Health and Wellness Across Populations, listed as HLTH4343 in ACE's B.S. in Healthcare Administration. A composite four-clinic network in Imperial County, California, can fund one program. The paper compares community health workers, or promotoras, against shared medical appointments using the Palmas meta-analysis and the Edelman systematic review, reads their A1c effects carefully, tests each against the county's barriers of language, harvest hours, heat and transport, prices staffing and reimbursement, and recommends a promotora-led hybrid that links hard-to-reach patients to monthly group visits. Module 4 in many sections supplies the models to compare.

CourseHLTH 4343 Health and Wellness Across Populations
ModuleModule 4
Paper typeService model comparison
Length1,190 words, about 4 pages plus title and reference pages
FormatAPA 7 student paper
SchoolAmerican College of Education
ProgramB.S. in Healthcare Administration
UpdatedSeptember 2026

Free sample paper for HLTH 4343 Module 4

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Promotoras or Group Visits? Comparing Two Diabetes Service Models for Spanish-Speaking Adults at a Border Health Center Network Against Evidence, Fit and Cost

Student Name

American College of Education

HLTH4343: Health and Wellness Across Populations

Module 4 Assignment

Instructor Name

October 26, 2026

What this page is doingThe title poses the comparison as a question, names the population and the three grounds of comparison, which tells the grader the paper will weigh evidence against fit rather than pick a favorite. The APA 7 title page carries the course line and the module assignment as listed.
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The Choice Facing the Network

The composite four-clinic health center network in Imperial County, California, that I have followed in this course has funding for one new diabetes program next year. The earlier modules established the need: diabetes affects an estimated 14.6% of adults in the county, compared with 9.4% in neighboring San Diego County (Centers for Disease Control and Prevention [CDC], 2025), and the network's patients face barriers of language, cost, transportation, heat and work hours. The network's leaders have narrowed the options to two established service models. The first uses community health workers, known locally as promotoras, who come from the community they serve. The second uses shared medical appointments, often called group visits, in which several patients with diabetes meet together with a clinician and educator for a longer visit.

This paper compares the two models on four grounds: the evidence of effect on blood glucose, fit with this population, what each requires of the network, and cost. It then recommends a program design.

What this page is doingThe decision, the population's documented needs and the two candidate models are introduced with the grounds for comparison stated in advance, which structures a fair comparison.
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Model One: Community Health Workers

Community health workers are trusted members of a community who provide education, support, navigation and advocacy, usually working alongside clinical teams. In diabetes care, they typically make home visits or phone calls, teach self-management skills, help patients get to appointments and obtain medications, and connect them with food, housing and benefits programs. The model is especially well suited to populations that face language and cultural barriers, since workers share the patients' language and experience.

The evidence for effect on glucose control is positive but modest. Palmas et al. (2015) reviewed randomized trials comparing community health worker interventions with usual care and meta-analyzed nine trials with at least twelve months of follow-up. They found a modest reduction in hemoglobin A1c, with a standardized mean difference of 0.21, and a larger reduction in studies whose participants started with higher A1c levels. The authors cautioned that the number of trials was small and that publication bias could not be ruled out. The finding about baseline A1c matters here: the network's data show that a large share of its patients are diagnosed late with high A1c levels, the group in which community health workers appear to help most.

What this page is doingThe model is described in practical terms and its evidence is reported precisely, including effect size, the moderating effect of baseline A1c and the review's cautions, which is then related to the network's own patients.
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Model Two: Shared Medical Appointments

In a shared medical appointment, a group of eight to twelve patients with the same condition meets with a clinician, and often a nurse, dietitian or pharmacist, for ninety minutes or more. Each patient receives individual attention to medications and results, and the group discusses self-management together, learning from one another's experience. The format gives patients more time with the care team than a standard visit and can improve clinic capacity.

Edelman et al. (2015) systematically reviewed 17 unique studies comparing shared medical appointments with usual care for patients with diabetes. Group visits improved hemoglobin A1c by 0.55 percentage points and systolic blood pressure by 5.2 mmHg, but did not significantly improve LDL cholesterol. The A1c results varied considerably across studies, which the authors attributed to differences in the components of the programs, and they found too little evidence to draw conclusions about patient experience, use of services or costs. The model's effect on A1c appears larger in absolute terms than that of community health workers, though the two reviews measured effects differently and cannot be compared directly.

What this page is doingThe second model is described and its evidence reported accurately, and the paper cautions against a direct comparison of effect sizes measured differently, which shows careful reading of research.
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Fit With This Population

Evidence from trials tells us what a model can achieve under study conditions; fit tells us whether it will work here. Community health workers fit the population's barriers closely. They can visit patients at home or at work sites, which addresses transportation and work hours; they speak Spanish and understand the local food and family context; and they can help with the coverage enrollment and benefits that the earlier analysis identified as critical. Their weakness is clinical: they cannot adjust medications, so their effect depends on a strong link to clinicians.

Group visits fit some needs well and others poorly. They offer Spanish-language groups, extended time and the peer support that many isolated patients lack, which responds to the county's high reported loneliness. But they require patients to come to the clinic at a set time for ninety minutes, which is difficult for agricultural workers during harvest and for anyone without a ride. A model that works beautifully for the patients who can attend does nothing for the patients who cannot get there.

What this page is doingEach model is tested against the specific barriers identified earlier in the course, and the paper distinguishes efficacy in trials from fit in this setting, which is the heart of the comparison.
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Requirements and Cost

The two models make different demands on the network. A community health worker program would require hiring and training four workers, one for each clinic, at about $52,000 each in salary and benefits, plus training, mileage, phones and supervision by a nurse, for a total of about $265,000 a year. Workers can be hired locally and trained within three months. Group visits would require clinician time: two ninety-minute sessions per clinic each month, led by a physician or nurse practitioner with a registered nurse and a dietitian, plus a room large enough for a group. Because group visits can be billed as medical visits for each attending patient, a substantial part of their cost may be recovered through billing, whereas community health worker services are only partly reimbursed in California's Medi-Cal program and would rely more on grant funding. The network's main constraint is clinician time, which is already stretched.

What this page is doingStaffing, cost and financing are compared realistically, including reimbursement differences and the organization's binding constraint, which grounds the recommendation in operations.
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Recommendation: A Hybrid Built Around Promotoras

Neither model alone fits the network's population. I recommend a hybrid built around community health workers, with group visits as one of the services they connect patients to. Four promotoras would each carry a caseload of about 60 patients with diabetes, prioritizing those with A1c above 9%, the group in which the evidence suggests community health workers help most. They would visit patients at home or at work, help with coverage and benefits, teach self-management, and link patients to a monthly Spanish-language group visit at each clinic, scheduled in the evening outside harvest peaks. The promotoras would attend the group visits, which strengthens the link between community support and clinical care that each model lacks alone.

The hybrid addresses the weaknesses of each model: the promotoras reach patients who cannot come to the clinic, and the group visits provide the medication adjustment and extended clinical time that the promotoras cannot. It also fits within the network's clinician capacity, since group visits would run monthly rather than twice monthly.

What this page is doingThe recommendation combines the models to offset each one's weaknesses, targets the patients for whom evidence is strongest and stays within the organization's constraints, which demonstrates judgment.
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How the Choice Will Be Judged

The hybrid will be evaluated after one year with four measures: the change in A1c among enrolled patients, reported separately for those who attended group visits and those who did not; the share of enrolled patients who completed coverage enrollment or benefits referrals; attendance at group visits by season; and patient-reported support, using a short Spanish-language survey. Because the network is combining two models, it cannot tell from its own data which part produced any improvement, and it should not claim more than the evaluation can show. The results will instead guide the next decision, whether to expand promotora caseloads, add group visit sessions or change the mix.

What this page is doingThe evaluation is realistic about what a combined program can show and uses results to inform future decisions, which reflects honest program evaluation.
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References

Centers for Disease Control and Prevention. (2025). PLACES: Local data for better health, county data 2025 release [Data set]. https://data.cdc.gov/

Edelman, D., Gierisch, J. M., McDuffie, J. R., Oddone, E., & Williams, J. W., Jr. (2015). Shared medical appointments for patients with diabetes mellitus: A systematic review. Journal of General Internal Medicine, 30(1), 99-106. https://doi.org/10.1007/s11606-014-2978-7

Palmas, W., March, D., Darakjy, S., Findley, S. E., Teresi, J., Carrasquillo, O., & Luchsinger, J. A. (2015). Community health worker interventions to improve glycemic control in people with diabetes: A systematic review and meta-analysis. Journal of General Internal Medicine, 30(7), 1004-1012. https://doi.org/10.1007/s11606-015-3247-0

What the HLTH 4343 Module 4 instructions ask for

In many sections of HLTH 4343, Module 4 asks you to compare ways of delivering health services to a population and recommend one. The models might be clinical, such as nurse-led clinics and telehealth, or community based, such as mobile units, community health workers and school programs. Prompts generally want each model described, its evidence summarized, its fit with the population's needs and barriers assessed, and its resource demands considered, ending with a justified recommendation. Many students continue with the population from earlier modules. Length is set by the rubric, and at least two scholarly sources are expected. Read the Canvas rubric for whether cost analysis is required or optional.

How the HLTH 4343 Module 4 example is put together

The example sets the grounds for comparison before describing either model, so the reader knows how the verdict will be reached. Each model gets its own section with a plain description and a careful summary of its best evidence, including effect sizes, limits and a warning that the two reviews cannot be compared directly. The fit section then tests both models against the barriers documented in the earlier modules. A requirements and cost section prices staff and notes differences in reimbursement and the network's binding constraint, clinician time. The recommendation combines the models so each covers the other's gap, and the final section admits what a combined program's evaluation can and cannot show.

Where the points sit in the HLTH 4343 Module 4 rubric

Rubrics for model comparisons usually score four things: description, evidence, fit and recommendation. Top marks on evidence require accurate reporting of study findings, with effect sizes and limitations, instead of claims that a model works. The fit criterion is often the most important, rewarding analysis of how each model matches the specific population's needs and barriers. A recommendation earns full credit when it grows out of the comparison and is feasible for the organization, with costs or resources considered. Graders also reward balanced treatment, so each model's weaknesses should be named. Organization, clarity and correct APA 7 citation of each study complete the scoring.

Common HLTH 4343 Module 4 mistakes, and how to avoid them

Comparison papers lose points most often by describing two models in sequence and then choosing one without actually comparing them on stated criteria. Another problem is reading effect sizes carelessly, for example treating a standardized mean difference and a percentage-point change as the same unit. Students sometimes ignore the organization's constraints, recommending a program it cannot staff. Fit deserves the most space, because a model that works in trials may fail with your population. Name each model's weaknesses honestly, since graders distrust a comparison in which one option has none. If your course asks you to compare other models, such as telehealth against mobile clinics, the desk can prepare a custom Module 4 comparison to your rubric.

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 American College of Education 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.

More HLTH 4343 and B.S. in Healthcare Administration sample papers

HLTH 4343 Module 4 questions, answered

What does HLTH4343 Module 4 usually ask for?

In many sections, the fourth module of HLTH4343 compares two or more models of delivering health services to a population, weighing evidence, fit and resources to recommend one. Your classroom's instructions decide which models.

What is a shared medical appointment?

A longer visit in which a group of patients with the same condition meets with a clinician and other team members, combining individual medical attention with group education and peer support.

Do community health workers improve diabetes control?

A meta-analysis of randomized trials found a modest reduction in A1c compared with usual care, with larger effects in patients who started with higher A1c levels.

Where can I find a free HLTH 4343 Module 4 sample paper?

Right on this page. The complete Module 4 service model comparison of promotoras and group visits is posted free of charge, and every one of its seven sections carries a short margin note on why it is built that way.

Can I recommend combining two service models?

Yes, if the analysis shows that each model covers the other's weaknesses and the organization can support both, as the example's promotora-led hybrid does.