| Course | MPH 504 Cultural Competency and Global Public Health |
|---|---|
| Week | 6 |
| Paper type | Health equity analysis |
| Length | About 1,150 words, 5 pages |
| Format | APA 7 student paper |
| School | Chamberlain University |
| Program | Master of Public Health (MPH) |
| Updated | October 2026 |
Free sample paper for MPH 504 Week 6
Health Equity Analysis: Tuberculosis Among Residents Born Outside the United States in Alder County, and Which Part of the Gap Is Unjust
Student Name
Chamberlain University
MPH 504: Cultural Competency and Global Public Health
Instructor Name
Month Day, Year
Health Equity Analysis: Tuberculosis Among Residents Born Outside the United States in Alder County, and Which Part of the Gap Is Unjust
The Gap
Alder County, the composite setting used throughout this course, counted 64 TB cases in 2025. Of these, 52 were in residents born abroad, who make up about 230,000 of the county's population, and 12 among the roughly 670,000 residents born in the country. The rate among residents born abroad was about 22.6 per 100,000, against 1.8 among U.S.-born residents, a ratio of about 12 to 1. Nationally the gap is wider still. People born abroad accounted for about three of every four cases reported in 2023, and their rate, 15.0 per 100,000, stood almost 19 times above the 0.8 seen in people born in the country (Williams et al., 2024). The county's figures are composite, built to reflect that national pattern at local scale.
Disparity or Inequity?
Two terms need to be kept apart. Any measured difference in health between groups counts as a disparity; only some disparities are inequities. Whitehead (1992) described inequities as health differences that could be prevented, need not exist and offend a common sense of fairness, and Braveman (2006) added that health disparities of concern are those that track social disadvantage, so that the groups already worse off bear more of the burden. The question for this analysis is therefore not whether the gap exists but which parts of it meet that standard.
The Part That Is Not Avoidable Locally
Most TB disease among people born abroad in the United States results from infection acquired years earlier in a country with high TB incidence, which later reactivates. About 85% of U.S. cases are attributed to reactivation of latent infection rather than recent transmission (Williams et al., 2024). The county cannot change where its residents grew up or the TB burden of the Philippines, Mexico, Vietnam or India. That part of the gap is a disparity rooted in global inequities, but it is not one the county health department could have avoided.
The Part That Is Avoidable and Unfair
What happens after arrival is different. Latent infection is detectable through an interferon-gamma release assay and treatable with a short course of medicine, which prevents most progression to disease. Screening for latent infection in adults at increased risk carries a federal task force recommendation (US Preventive Services Task Force, 2023), and the risk groups it names include people born in, or who formerly lived in, countries where TB is common. If residents born abroad are less able to get tested and treated than the evidence supports, then some of the disease that follows is avoidable, and because that shortfall falls on a group that already faces disadvantage, it is unfair.
The county's own data suggest this is happening. Among 412 non-U.S.-born adults referred to the TB clinic with latent infection in 2024, 63% started treatment and 51% completed it. Completion was 64% among insured patients and 38% among the uninsured. Among patients whose preferred language was not English, 44% completed treatment, against 57% among those who preferred English.
Table 1
Latent TB Treatment Start and Completion Among Non-U.S.-Born Adults Referred to the Alder County TB Clinic
| Group of referred adults, 2024 | Referred | Started treatment, % | Completed treatment, % |
|---|---|---|---|
| All non-U.S.-born adults | 412 | 63 | 51 |
| With insurance | 205 | 71 | 64 |
| Without insurance | 207 | 55 | 38 |
| Preferred language other than English | 168 | 58 | 44 |
| Preferred language English | 244 | 66 | 57 |
Note. Note. Composite figures from a county clinic record review.
Why the Avoidable Gap Exists
Behavior plays a part, since people choose whether to start and finish treatment, but those choices are made under conditions that the analysis has to name. Four conditions stand out. First, cost: clinic visits and drugs are free at the county clinic, but the blood test for screening in primary care is often billed, so uninsured residents may never be referred at all, and the 207 uninsured patients in the table are the ones who reached us. Second, time: the clinic keeps weekday daytime hours only, closing at 4:30, and many patients work hourly jobs in care homes, warehouses and restaurants without paid leave. Third, language: interpreters are offered by English ability, not preference, so some patients discuss medicines in a second language. Fourth, fear: some residents worry that using a public clinic could affect their immigration status, a concern that persists in the community even where it has no legal basis.
Each condition is avoidable and each is shaped by decisions of the health system or the county, which makes the resulting gap an inequity under both definitions (Braveman, 2006; Whitehead, 1992).
What Narrowing the Gap Would Mean
Narrowing an inequity means changing the conditions that produce it and measuring whether the gap shrinks, not only whether the average improves. The county could pursue four actions: offer evening and Saturday clinic hours twice a month; pay for screening blood tests ordered by community health centers for adults born in high-incidence countries; offer interpreters by preferred language; and switch the first-line offer to one of the rifamycin courses, so treatment takes three or four months rather than nine. A realistic target would be to raise completion among uninsured patients from 38% to 55% within two years, while overall completion rises from 51% to 60%, so that the gap between insured and uninsured patients narrows from 26 points to about 10.
Limits of This Analysis
The county data have three weaknesses that the conclusions must respect. First, they describe only people who reached the clinic, so the most excluded residents, those never tested, are missing, and the true gap is probably larger than the table shows. Second, insurance status and language preference overlap, since many uninsured patients also prefer a language other than English, and the review did not separate their effects. Third, the figures cover one year, and small groups can move several points from chance alone. A fuller analysis would link clinic records to community health center referrals, to estimate how many eligible residents are never referred, and would examine completion by both insurance and language together. None of these limits changes the main conclusion, that part of the gap is avoidable, but they do mean the size of the avoidable part is uncertain.
How Progress Would Be Judged
The county should report completion by insurance status and language every year, alongside the overall figure. If the overall rate rises but the gap stays the same, the inequity has not narrowed, even though the program has improved. The longer-term measure is TB disease among residents born abroad, which would fall slowly, over years, as fewer latent infections progress.
References
Braveman, P. (2006). Health disparities and health equity: Concepts and measurement. Annual Review of Public Health, 27, 167-194. https://doi.org/10.1146/annurev.publhealth.27.021405.102103
US Preventive Services Task Force. (2023). Screening for latent tuberculosis infection in adults: US Preventive Services Task Force recommendation statement. JAMA, 329(17), 1487-1494. https://doi.org/10.1001/jama.2023.4899
Whitehead, M. (1992). The concepts and principles of equity and health. International Journal of Health Services, 22(3), 429-445. https://doi.org/10.2190/986L-LHQ6-2VTE-YRRN
Williams, P. M., Pratt, R. H., Walker, W. L., Price, S. F., Stewart, R. J., & Feng, P. I. (2024). Tuberculosis: United States, 2023. MMWR Morbidity and Mortality Weekly Report, 73(12), 265-270. https://doi.org/10.15585/mmwr.mm7312a4
Reading the MPH 504 Week 6 instructions
Week six centers on a health disparity in a defined population; your task is to decide whether, or how far, it is an inequity. Describe the disparity with data and a clear comparison group. Define the difference between a disparity and an inequity using course sources, and apply that test explicitly. Identify the social, economic and system conditions behind the gap, and discuss behavior only as something shaped by those conditions. Then propose what narrowing the inequity would involve and how progress would be measured. The analysis should also be honest about the limits of its data, since the groups that are most excluded are often missing from routine records, which can make a gap look smaller than it is.
How the MPH 504 Week 6 example is put together
The county counted sixty-four TB cases in 2025, fifty-two in residents born abroad, a rate many times higher than among residents born in the country. The paper defines inequity using Whitehead (1992) and Braveman (2006) and then splits the gap in two. Disease from infection acquired before arrival is not avoidable locally. Low treatment of latent infection after arrival is, and a table shows it: of 412 referred adults, 51% completed, with 64% among the insured against 38% among the uninsured. Four conditions, including cost and clinic hours, explain that gap, and the paper proposes evening clinics and paid screening tests, judged by whether the insured and uninsured rates move closer.
Where the points sit in the MPH 504 Week 6 rubric
The rubric for this analysis gives most weight to the reasoning that turns a disparity into a judgment about fairness. Papers lose points when they call every difference an inequity without a test, or when the test is defined but never applied. Another weak pattern explains the gap by the group's behavior or beliefs, which the course asks students to examine rather than assume. Proposals that aim only at raising the average rate also fall short, since an average can rise while a gap stays wide. Credit goes to analyses that define terms from sources, apply them to specific parts of the gap, name the conditions behind it, propose changes with measures of the gap and state the limits of the data.
Common MPH 504 Week 6 mistakes, and how to avoid them
Equity analyses ask for a moral judgment backed by evidence, which can feel unfamiliar in a data course. If you share the disparity you are studying and the data you have, we can help you apply a definition of inequity step by step, decide which part of the gap is avoidable and set out the conditions behind it without blaming the group affected. We can also help you choose measures that track the gap rather than the average. Your population, your data and your judgment remain your own, and a custom sample would be written around the disparity your instructor or practice setting gives you. Where your data have holes, we can help you name them plainly.
Get a MPH-504 Week 6 example written to your instructions
Send the Week 6 instructions with the framework your section uses and the gap you are analyzing, and a custom example is written to that structure and returned inside 24 to 48 hours. The first one is free. Which gap is worth the analysis stays yours to choose.
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MPH 504 Week 6 questions, answered
What is the difference between a disparity and an inequity?
A disparity is a measured difference between groups. An inequity is a disparity that is avoidable and judged unfair, which adds a claim requiring argument rather than measurement. Using the words interchangeably is common and costly, because the avoidability argument is the analytical content and it disappears when the distinction does.
Am I allowed to discuss behavior at all?
Yes, and refusing to is its own error. Behavior genuinely affects health, and the analytical move is situating it: asking what makes a behavior more available or more necessary in one setting than another. Analyses that either blame behavior or pretend it is irrelevant both miss the layer where most of the reasoning happens.
What does narrowing a gap mean in practice?
An intervention that improves outcomes fastest among those doing worst. Programs that raise the whole distribution can leave a gap unchanged or widen it, since the better-off often take up an improvement first. Distinguishing the two in your recommendations is what separates an equity analysis from a general public health one.
Where can I find a free MPH 504 Week 6 sample paper?
This page has the full MPH 504 Week 6 equity analysis of tuberculosis among residents born abroad in a composite county.
Which part of the gap does the MPH 504 Week 6 sample call unjust?
The low start and completion of latent TB treatment after arrival, which follows insurance, language, cost and clinic hours.