| Course | HLTH 3115 Public and Global Health |
|---|---|
| Week | Week 9 |
| Paper type | Population intervention proposal |
| Length | About 1,080 words, 6 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | BS in Public Health |
| Updated | October 2026 |
Free sample paper for HLTH 3115 Week 9
Chest X-Ray Screening for Tuberculosis Among Adults in Nairobi's Informal Settlements: A Proposal With Its Denominator Attached, a Channel That Reaches It and the Coverage It Must Hit
Student Name
Walden University
HLTH 3115: Public and Global Health
Instructor Name
Month Day, Year
Chest X-Ray Screening for Tuberculosis Among Adults in Nairobi's Informal Settlements: A Proposal With Its Denominator Attached, a Channel That Reaches It and the Coverage It Must Hit
The Problem in Population Terms
Kenya's 2016 tuberculosis prevalence survey found pulmonary tuberculosis in 760 per 100,000 urban adults, compared with 453 per 100,000 in rural areas, and in 809 per 100,000 men compared with 359 per 100,000 women (Enos et al., 2018). Nationally, there were about 2.5 people with tuberculosis for every case notified, and the gap was largest among men and adults aged 25 to 34. The usual trigger for testing, a cough lasting beyond two weeks, was present in fewer than half of the survey's cases, whereas nearly nine in ten had X-ray abnormalities. A clinic-based approach that waits for people with a cough to arrive cannot find most of these cases. This proposal sets out a population-level alternative.
The Defined Population
The target population is adults aged 15 and older living in informal settlements in Nairobi County. For planning, this proposal uses a population of 500,000 adults in a defined set of settlements, to be replaced with the exact count from the 2019 census tables for the settlements selected (Kenya National Bureau of Statistics, 2019). Urban informal settlements are chosen because the survey found the highest prevalence in urban areas and among young adult men, groups that are concentrated in these settlements and least likely to be reached by clinic-based testing.
Expected Burden
Each row depends on the one above it. If coverage is low, no improvement in the test can make up for the people who were never screened.
Table 1
Expected Prevalent Cases in the Target Population
| Item | Value | Basis | |
|---|---|---|
| Adults in target population | 500,000 | Planning figure, to be replaced from census tables | |
| Expected prevalence | 760 per 100,000 | Urban adult prevalence, 2016 survey | |
| Expected prevalent cases | About 3,800 | 500,000 × 760 ÷ 100,000 | |
| Cases expected among those screened at 60% coverage | About 2,280 | 3,800 × 0.60 | |
| Cases detected if screening finds 85% of those screened | About 1,940 | 2,280 × 0.85 | |
Prevalence in informal settlements may be higher than the urban average; the 2016 figure is a conservative planning value. The 85% figure is a planning assumption for the combined chest X-ray and sputum testing pathway.
The Delivery Channel
The channel must reach adults who are not seeking care, including men who work during clinic hours. The proposal uses mobile digital chest X-ray units placed at fixed points within each settlement for two weeks at a time, open in the early morning, evenings and weekends. Kenya's community health workers would visit households beforehand to list adults, explain the screening and invite each person. Chest X-ray is used as the first screen because, in the national survey, X-ray abnormalities flagged far more of the cases than a cough question did (Enos et al., 2018). The World Health Organization's screening guidelines recommend chest X-ray, including with computer-aided detection software, for systematic screening in high-prevalence populations (World Health Organization, 2021). Adults with an abnormal X-ray would give a sputum sample for a rapid molecular test on site, and those who test positive would be linked to treatment at the nearest public facility the same week.
The Coverage Level Required
The proposal must reach enough of the population, often enough, to change something measurable. Evidence on what that means comes from a trial in Vietnam, where adults in 60 communities were offered screening every year for three years. When prevalence was measured in the fourth year, screened communities had 44% less pulmonary tuberculosis than unscreened ones, a prevalence ratio of 0.56 (Marks et al., 2019). That effect came from repeated, community-wide screening, not a single round.
This proposal therefore sets two coverage targets. In each round, at least 60% of listed adults must be screened, including at least 50% of listed men aged 25 to 34. Screening must be repeated annually for at least three years. Below 60%, the program would mainly find people who were already more likely to seek care, and the effect on community prevalence would be too small to detect with a follow-up survey of feasible size. The 50% target for young men is set separately because the national survey showed that this group was both most affected and least likely to be notified.
What Would Change, and How It Would Be Measured
If coverage targets are met, two things should change. In the first year, tuberculosis notifications from the participating settlements should rise sharply, because previously undiagnosed cases are found. Over three years, the prevalence of tuberculosis in the settlements should fall, because finding and treating cases shortens the time people remain infectious. Prevalence would be measured by a survey in the fourth year in screened settlements and in comparable settlements not yet included. If coverage falls below target, the program should not expect a measurable change in prevalence and should report activity, not effect.
Why Not a Clinic-Based Alternative
A clinic-based alternative would strengthen testing for people who come to health facilities with symptoms: better sputum collection, rapid molecular tests and shorter waits. It would be cheaper per person tested and easier to run. But its denominator would be the people who arrive, not the people who live in the settlements. The national survey showed that about two in three people with symptomatic tuberculosis had not sought care, and many people with the disease had no long cough to prompt a visit. A clinic-based plan could improve the care of those who come and still leave most of the disease untouched. That is why this proposal accepts the higher cost of going to the population.
Resources and Risks
The main resources are mobile X-ray units, molecular testing machines, trained radiographers and community health workers' time. The main risks are low turnout among working men, loss of people between a positive test and treatment and stigma. Evening and weekend hours address the first; same-week linkage, tracked by name, addresses the second; and screening everyone, not only people who appear ill, reduces the third.
Conclusion
A clinic-based plan for tuberculosis in Nairobi's informal settlements would serve the people who come to clinics, who are a minority of those with the disease. This proposal attaches a denominator of 500,000 adults, a delivery channel that goes to them and coverage targets of at least 60% of adults each year for three years. Without those numbers, no change in community prevalence should be expected.
References
Enos, M., Sitienei, J., Ong'ang'o, J., Mungai, B., Kamene, M., Wambugu, J., Kipruto, H., Manduku, V., Mburu, J., Nyaboke, D., Ngari, F., Omesa, E., Omale, N., Mwirigi, N., Okallo, G., Njoroge, J., Githiomi, M., Mwangi, M., Kirathe, D., ... Weyenga, H. (2018). Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya. PLoS One, 13(12), Article e0209098. https://doi.org/10.1371/journal.pone.0209098
Kenya National Bureau of Statistics. (2019). 2019 Kenya population and housing census: Volume I. Population by county and sub-county. Kenya National Bureau of Statistics.
Marks, G. B., Nguyen, N. V., Nguyen, P. T. B., Nguyen, T.-A., Nguyen, H. B., Tran, K. H., Nguyen, S. V., Luu, K. B., Tran, D. T. T., Vo, Q. T. N., Le, O. T. T., Nguyen, Y. H., Do, V. Q., Mason, P. H., Nguyen, V.-A. T., Ho, J., Sintchenko, V., Nguyen, L. N., Britton, W. J., & Fox, G. J. (2019). Community-wide screening for tuberculosis in a high-prevalence setting. New England Journal of Medicine, 381(14), 1347-1357. https://doi.org/10.1056/NEJMoa1902129
World Health Organization. (2021). WHO consolidated guidelines on tuberculosis: Module 2: Screening: Systematic screening for tuberculosis disease. World Health Organization. https://www.who.int/publications/i/item/9789240022676
What the HLTH 3115 Week 9 instructions ask for
Intervention proposals in this course ask you to plan for a population, not a clinic. Define the population precisely and give its size, labeling any planning figure as such. Estimate the burden you expect to find using published rates. Describe a delivery channel that can reach people who are not already seeking care, with details such as hours and locations. Then set a coverage level the program must reach to change something measurable, justified with evidence from a trial or program evaluation. State what would change if the target is met and how it would be measured. Explain why a clinic-based alternative would fall short. Name resources and risks briefly, and make sure every figure in the plan points either to a source or to an assumption you have flagged.
How this HLTH 3115 Week 9 example is built
The proposal opens with the tuberculosis problem in population terms, citing Enos and colleagues. It defines the target population and planning figure, then presents Table 1, expected cases at each step from population to detection. The delivery section describes mobile X-ray units, community health worker invitations, on-site testing and same-week linkage, citing WHO guidelines. The coverage section uses Marks and colleagues' trial to justify annual screening for three years and sets overall and subgroup targets. Sections describe what would change and how it would be measured, why a clinic-based plan would fall short and the main resources and risks, followed by a conclusion.
HLTH 3115 Week 9 rubric: what earns full marks
Faculty grade a population intervention proposal on whether it has a denominator and a coverage target. A precisely defined population earns credit, and an expected burden calculation shows the student understands scale. The delivery channel should plausibly reach the population, including people not seeking care. Justifying the coverage target with evidence is often the most heavily weighted element. Faculty value proposals that explain what would change and how it would be measured. A comparison with a clinic-based approach shows understanding of the trap the assignment sets. Proposals that describe activities without a population or coverage level, or that assume everyone will take part, earn less. Labeled assumptions are valued over hidden ones.
HLTH 3115 Week 9 help: mistakes that cost marks
Begin with the population, not the program: who, where and how many. Find a published rate for your condition in that kind of population and work out how many cases you should expect. Then ask how you would reach people who never come to a clinic, and design your channel around their hours and places. Look for a trial or evaluation that shows how much coverage a similar program needed to work. Set your target from that evidence. Label any number you have assumed. We can draft a sample population-level proposal for a problem you pick. Ask yourself, at the end, what would happen if only a third of your population took part; if your proposal does not answer that, add a sentence that does.
Get a HLTH 3115 Week 9 example written to your instructions
Send the Week 9 prompt with the rubric your classroom posted and the population you have in mind, and the desk builds the proposal around a stated denominator and a real delivery channel, first sample free, in 24-48h. Published evaluations supply every effect the paper reports, and no result is promised that a cited study did not observe.
More HLTH 3115 papers and BS in Public Health samples
- HLTH 3115 Week 1: Discussion Post
- HLTH 3115 Week 2: Measurement Exercise
- HLTH 3115 Week 3: Epidemiology Brief
- HLTH 3115 Week 4: Country Profile
- HLTH 3115 Week 5: Systems Comparison
- HLTH 3115 Week 6: Midterm Discussion Post
- HLTH 3115 Week 7: Surveillance Analysis
- HLTH 3115 Week 8: Equity Analysis
- HLTH 3115 Week 10: Program Evaluation
- HLTH 3115 Week 11: Course Reflection
- HLTH 2500 Week 9: Measurement Plan
- HLTH 2110 Week 9: Intervention Critique
- HLTH 1000 Week 9: Peer Critique
HLTH 3115 Week 9 questions, answered
Where can I find a free HLTH 3115 Week 9 sample paper?
The proposal for tuberculosis screening in Nairobi's informal settlements, with its burden table and references, is free to read here.
What population does the HLTH 3115 Week 9 example target?
Adults aged 15 and older in Nairobi's informal settlements, using a planning figure of 500,000.
How will the program reach people?
Through mobile chest X-ray units open in early mornings, evenings and weekends, with community health workers inviting each listed adult.
What coverage must it reach?
At least 60% of listed adults each year for three years, including at least half of men aged 25 to 34.
What evidence supports repeated screening?
A Vietnam trial in which three annual rounds of community-wide screening lowered tuberculosis prevalence compared with communities not screened.