| Course | IHP 501 Global Health and Diversity |
|---|---|
| Module | Module 3 |
| Paper type | graduate milestone defining a health disparity |
| Length | About 1,010 words, 6 pages |
| Format | APA 7 student paper |
| School | Southern New Hampshire University |
| Program | MPH |
| Updated | September 2026 |
Free sample paper for IHP 501 Module 3
Milestone One: Type 2 Diabetes Among Latino Immigrant Adults at a Community Health Center
[Student Name]
Southern New Hampshire University
IHP 501: Global Health and Diversity
Module Three Milestone One
[Instructor Name]
[Date]
Milestone One: Type 2 Diabetes Among Latino Immigrant Adults at a Community Health Center
A disparity becomes workable when it is defined by population, outcome, comparison group and setting. This milestone defines the disparity the final project will address: poorer diabetes control among Latino immigrant adults at La Esperanza, a composite community health center with federal funding that anchors care in Riverside Heights. It describes the population, presents data, explains why the disparity matters, outlines likely causes and states the project's aim.
The Population
La Esperanza serves about 14,000 patients, 62% of whom identify as Latino. Among Latino adult patients, about 70% were born outside the United States, mostly in Mexico, Guatemala and El Salvador, and 58% prefer to receive care in Spanish. Many work in food processing, cleaning, landscaping and construction, often with irregular hours and without paid sick leave. The center's records do not collect immigration status, but staff estimate that a substantial share of immigrant patients lack permanent legal status, and most are uninsured and pay on a sliding fee scale.
The Disparity in Numbers
A review of the center's diabetes registry found 1,240 adults with type 2 diabetes, of whom 610 are Latino immigrants. Half of them have an HbA1c at or above 8.6%, a full point higher than the 7.6% median for everyone else in the registry. Forty-one percent of Latino immigrant patients have an HbA1c above 9%, the threshold for poor control used in national quality measures, compared with 24% of other patients. They are also less likely to have had an annual eye exam, 38% versus 52%, and more likely to have missed two or more visits in the past year. County data show that diabetes-related hospitalizations in Riverside Heights are about twice the county rate.
Table 1. Diabetes Indicators at La Esperanza
| Indicator | Latino immigrant adults (n = 610) | Other adult patients (n = 630) |
|---|---|---|
| Median HbA1c | 8.6% | 7.6% |
| HbA1c above 9% | 41% | 24% |
| Annual eye exam completed | 38% | 52% |
| Two or more missed visits in past year | 33% | 19% |
Note. Figures are illustrative for the composite center.
Why It Matters
Poorly controlled diabetes leads over years to heart attacks, strokes, kidney failure, blindness and amputations, and it reduces people's ability to work, which matters greatly for families living on hourly wages. The disparity also reflects a broader pattern. Marmot (2005) described how health follows a social gradient, with disadvantaged groups experiencing earlier and more frequent illness, and argued that such gradients stem largely from social conditions rather than biology. The gap at La Esperanza is one local expression of that gradient, and closing it is a question of equity as well as clinical quality.
Immigration as a Determinant
Immigration, a major review argues, should be treated as a social determinant of health in its own right (Castañeda et al., 2015). Immigration status shapes eligibility for insurance and public benefits, the kinds of jobs available, housing stability and exposure to exploitation. Policies and enforcement practices can create fear that discourages people from seeking care or giving personal information, even when services are available to them. These effects extend to family members, including citizen children. For La Esperanza's patients, missed visits and delayed care may reflect work that cannot be missed and fear of contact with institutions as much as individual choices.
Language as a Barrier
Most of the population prefers Spanish, and La Esperanza has bilingual staff in some roles but relies on family members or untrained staff to interpret in others. Flores (2005) systematically reviewed research on interpreter services and found that use of untrained or ad hoc interpreters, such as family members, was associated with more errors with potential clinical consequences, while professional interpreters were associated with better communication, comprehension and quality of care. Diabetes management depends on detailed explanations of medications, blood sugar monitoring and diet, making language access especially important.
Other Likely Causes
Beyond immigration and language, likely contributors include cost, since medications and test strips strain household budgets even on the sliding scale; work schedules that conflict with clinic hours; food environments with few affordable healthy options; and diabetes education materials that are translated but not adapted to the foods and cooking practices patients know. These causes will be examined further in the literature review and community input.
What the Data Cannot Show
The registry comparison has limits. It groups patients by the center's language and birthplace fields, which are sometimes incomplete, and it cannot capture immigration status, which is not recorded for good reason. HbA1c values come only from patients who had a test in the past year, so patients who stopped coming may be missing, and their control is likely worse. The comparison group includes a mix of U.S.-born Latino, Black and white patients, whose own disparities are hidden when combined. These limits mean the true gap may be larger than the numbers show, and they argue for combining records with interviews and community surveys before designing the intervention.
Project Aim
The final project will propose an intervention to reduce the gap in diabetes control between Latino immigrant adults and other patients at La Esperanza. The measurable aim is to reduce the share of Latino immigrant patients with HbA1c above 9% from 41% to 30% within eighteen months, while increasing annual eye exams to at least 50%. The intervention will be developed with community input and grounded in evidence on culturally and linguistically appropriate care.
Strengths to Build On
The population also brings strengths that the project should use. Many patients have close family networks and attend local churches, which can support behavior change. Traditional foods such as beans, corn tortillas and vegetables can fit a diabetes-friendly diet when portions and preparation are considered. La Esperanza already employs two promotoras for prenatal outreach, showing that the center can support community health workers. Starting from strengths rather than deficits keeps the project respectful and practical.
Conclusion
The disparity at La Esperanza is clear in the numbers and rooted in conditions beyond the clinic: immigration policy, language access, work and cost. Defining it precisely, with a population, comparison and aim, prepares the project to look for evidence-based solutions in the next milestone.
References
Castañeda, H., Holmes, S. M., Madrigal, D. S., Young, M.-E. D., Beyeler, N., & Quesada, J. (2015). Immigration as a social determinant of health. Annual Review of Public Health, 36, 375-392. https://doi.org/10.1146/annurev-publhealth-032013-182419
Flores, G. (2005). The impact of medical interpreter services on the quality of health care: A systematic review. Medical Care Research and Review, 62(3), 255-299. https://doi.org/10.1177/1077558705275416
Marmot, M. (2005). Social determinants of health inequalities. The Lancet, 365(9464), 1099-1104. https://doi.org/10.1016/S0140-6736(05)71146-6
What the IHP 501 Module 3 instructions ask for
Milestone One in IHP 501 usually asks you to select a population and a health disparity, describe them with data and explain why the disparity matters and what may cause it. Graduate milestones commonly run four to six APA 7 pages. Define the population and comparison group precisely, present data in a table, explain clinical and equity significance and introduce likely causes with scholarly support, including structural factors such as policy and language access. End with a measurable aim for the final project. Instructors look for disparities framed with care, avoiding language that blames the population for its own poorer health. IHP 501 graders notice clean headings in IHP 501 papers. IHP 501 names and dates need checking before IHP 501 submission.
How this IHP 501 Module 3 milestone one example is built
This milestone defines poorer diabetes control among Latino immigrant adults at a composite community health center, where 41% have HbA1c above 9% compared with 24% of other patients, and eye exams and visit attendance lag. Marmot's social gradient frames the equity significance, Castañeda and colleagues explain immigration status as a determinant shaping access, work and fear and Flores shows untrained interpreters raise error risk. Cost, work schedules, food environments and poorly adapted materials are listed for further study. The aim is to lower the share above 9% to 30% within eighteen months with community-informed, evidence-based care. IHP 501 students can reuse this structure for IHP 501 work. IHP 501 claims here trace to cited IHP 501 sources.
Where the IHP 501 Module 3 rubric puts the points
Disparity definition milestones in IHP 501 are generally marked on a precisely defined population and comparison, accurate data, clear significance, well-supported discussion of causes including structural factors, a measurable aim, respectful language, scholarly support and APA 7. Strong milestones present data in tables, connect the local disparity to broader patterns and avoid stereotypes. Milestones lose points when they describe populations vaguely, rely on national statistics without local data, attribute disparities to culture alone or lack a measurable aim. Discussing immigration or language as structural issues, rather than personal deficits, is often credited. IHP 501 marks favor careful formatting across IHP 501 sections. IHP 501 citations keep every IHP 501 argument credible.
IHP 501 Module 3 help: the mistakes that cost points
In IHP 501, Milestone One often loses points for missing comparison groups, for data without sources, for causes framed as cultural failings and for aims that cannot be measured. Another common weakness is overlooking language access and policy. Define population and comparison, present local data, explain significance, trace causes to structures and set a measurable aim. If you are working with a different population or disparity, add the details and any data you have to your IHP 501 notes so the milestone reflects them. IHP 501 drafts start well from a IHP 501 outline. IHP 501 feedback already received guides IHP 501 revisions.
Get IHP 501 Module 3 written to your instructions
Send the IHP 501 Milestone One prompt, your population and any data you have. The milestone will define the disparity with a comparison group, present data in a table, explain significance, trace likely causes to structures and set a measurable aim, within 24 to 48 hours, free the first time. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.
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IHP 501 Module 3 questions, answered
Where can I find a free IHP 501 Module 3 Milestone One sample?
Everything is on this page: a diabetes disparity among Latino immigrant adults defined with registry data, causes and a measurable aim.
How do you define a health disparity for a project?
Name the population, the health outcome, a comparison group and the setting, and describe the gap with data.
Why is immigration a social determinant of health?
Immigration status shapes insurance, benefits, jobs, housing and fear of institutions, all of which affect access to care and health.
Do family members make good medical interpreters?
Research found ad hoc interpreters such as family members are associated with more errors than trained professional interpreters.
What HbA1c level signals poorly controlled diabetes?
National quality measures commonly use an HbA1c above 9% as the threshold for poor control.