| Course | NU713 Epidemiology and Social Determinants of Population Health |
|---|---|
| Unit | Unit 1 |
| Paper type | Discussion board post |
| Length | About 600 words, 3 pages double-spaced |
| Format | APA 7 discussion post |
| School | Purdue University Global |
| Program | Doctor of Nursing Practice (DNP) |
| Updated | September 2026 |
Free sample paper for NU713 Unit 1
Eviction Filings, Not Food Deserts: A Discussion Post Choosing Housing Instability as the Social Condition Behind Short-Term Diabetes Admissions in Composite Brennard County
NU713 · Unit 1 Discussion Board Post
Posted by [Student Name]
Brennard County and every figure in it are composite; numbers are bracketed placeholders for the values the named sources would supply.
Initial Post
Most of us will write about food access this week, and in many places it matters. In Brennard County, I think a different condition does more of the work: housing instability, measured as eviction filings. The outcome I chose is admission to hospital for short-term complications of diabetes, such as diabetic ketoacidosis. Federal quality specifications count these admissions as Prevention Quality Indicator 01, a condition that good outpatient care should usually prevent (Agency for Healthcare Research and Quality, 2024).
I compared the county's [24] tracts with the most eviction filings to its [24] tracts with the fewest. In the high-filing tracts there were about [14.6] filings per 100 renter households in [2024], counted from county court dockets and matched to tracts by address, against [1.9] in the low-filing tracts. Pooling the state discharge file for [2022 to 2024], short-term diabetes complication admissions ran at about [212] per 100,000 adults a year in the high-filing tracts and [61] in the low-filing tracts, a ratio of about [3.5].
The mechanism I propose is movement. A filing often comes before a forced move, and a move breaks the things that keep insulin-treated diabetes stable: a refrigerator for insulin, a pharmacy that knows the patient, a clinic within reach and an address where reminders arrive. Research on eviction supports the general link. In a large study of urban families, mothers with a recent eviction reported more material hardship and worse health, including depression, than similar mothers who were not (Desmond & Kimbro, 2015), and a systematic review found that eviction and the threat of eviction were associated with poorer mental and physical health (Vásquez-Vera et al., 2017).
A diabetes plan written for a patient with a stable address can fail the week that patient receives a filing.
Why not food access? Only [3] of the [14] east-side tracts with the highest admission rates qualify as low-access on the federal food access atlas, so food access explains less of the pattern than filings do. That does not mean food is unimportant, only that it is not the condition that separates these tracts.
This is an ecological comparison, and I cannot say that the people being evicted are the people being admitted. I would like to ask classmates whether any of you has seen an outcome that tracks a housing measure in your own county.
Reply to [Classmate D.]
[Classmate D.], you chose food insecurity and child obesity, and your map of low-access tracts was convincing. I wondered whether the same tracts also have high rental turnover. If families move often, a child's school, clinic and grocery store may all change in a year, and food access might be one symptom of that instability rather than a separate cause. Would your county's school mobility data show anything like that?
Reply to [Classmate P.]
[Classmate P.], you questioned whether eviction filings measure housing instability well, since many filings do not end in a move. That is a fair point, and it weakens my mechanism for some households. I still used filings because court records are public and can be placed on a map, while moves are hard to count. Do you know of a better measure of forced moves that a county health department could actually obtain?
References
Agency for Healthcare Research and Quality. (2024). Prevention quality indicators technical specifications.
Desmond, M., & Kimbro, R. T. (2015). Eviction's fallout: Housing, hardship, and health. Social Forces, 94(1), 295-324. https://doi.org/10.1093/sf/sov044
Vásquez-Vera, H., Palència, L., Magna, I., Mena, C., Neira, J., & Borrell, C. (2017). The threat of home eviction and its effects on health through the equity lens: A systematic review. Social Science & Medicine, 175, 199-208. https://doi.org/10.1016/j.socscimed.2017.01.010
What the NU713 Unit 1 assignment asks for
The first NU713 board prompt asks you to choose one social condition and link it to a health outcome in a defined population. A strong post names the condition, the outcome and the population, shows the link with local data, proposes a mechanism supported by research, and acknowledges the limits of the comparison. An initial post near 400 to 500 words and two short replies is common. Faculty reward a specific, measurable condition over a broad one such as poverty, data at a geography fine enough to show contrast, a mechanism that explains how the condition reaches the body, and an honest note that area-level comparisons cannot show individual causation. Replies should test a classmate's argument with a question they could answer from their own county's data.
How this NU713 Unit 1 example is built
The post opens by naming the condition and the outcome, short-term diabetes complication admissions as defined by a federal prevention quality indicator. The next paragraph compares the county's highest- and lowest-filing tracts on filings per 100 renter households and admissions per 100,000 adults, with the ratio between them. A mechanism follows, supported by a large urban study of eviction and hardship and a systematic review of eviction and health, and the highlighted sentence makes the point in clinical terms. A short paragraph explains why food access was not chosen, and the post ends by naming its ecological limit and asking classmates a question. One reply asks about rental turnover; the other accepts a critique of filings as a measure.
Reading the NU713 Unit 1 grading rubric
Faculty grading this first post tend to weigh the choice of condition, use of population data, the proposed mechanism, recognition of limits and peer engagement. A specific, measurable condition earns more than a general one. Population data are judged on source, year and geography, and on whether the comparison shows a real contrast. The mechanism is credited when it explains how the condition affects the outcome and is supported by published research. Limits earn points when the post names the ecological nature of the comparison. Engagement rewards replies that extend a classmate's argument or test it with a specific question. APA citation and staying close to the word limit are included in most rubrics as well.
Common NU713 Unit 1 mistakes, and how to avoid them
A frequent problem is choosing poverty as the condition, which is true but explains little on its own. Another is using county averages, which hide the contrast between neighborhoods. Some posts offer a mechanism with no evidence behind it. Others treat an area-level comparison as proof that individuals with the condition have the outcome, which is the ecological fallacy. Many students copy a national statistic without saying whether it applies locally. And replies often agree without adding anything. Pick a condition you can count at a small geography, show the contrast, explain how it reaches the body, and say plainly what your comparison can and cannot show.
Get an NU713 Unit 1 example written to your instructions
Whatever condition and outcome your community suggests, the post can rest on measured figures for both. Share the Unit 1 question, your rubric, and the county or practice area you have in mind. A free first custom sample follows within 24-48h, written to those instructions, with classmate replies included when the thread grades them. The paper above is an original model document written by our desk, not a submitted student paper and not an official Purdue University Global document.
More NU713 papers and DNP samples
- NU713 Unit 2: Determinants Profile
- NU713 Unit 3: Measurement Critique
- NU713 Unit 4: Fundamental Cause Paper
- NU713 Unit 5: Seminar Reflection
- NU713 Unit 6: Disparities Analysis
- NU713 Unit 7: Age-adjusted Rate Comparison
- NU713 Unit 8: Secondary Data Appraisal
- NU713 Unit 9: Structural Framework Application
- NU713 Unit 10: Population Health Brief
- NU703 Unit 1: Discussion Post, What the DNP Adds
NU713 Unit 1 questions, answered
Can a discussion post use tract data when my clinic serves several counties?
Yes, and it often should. County averages hide the contrast this course cares about, because an affluent suburb and a struggling core can share one county figure. Tract or block group estimates from the American Community Survey describe the part of the county your patients actually live in. Say which tracts you included and why, and give the five-year span the estimates cover.
Why not argue that poverty is the condition that matters most?
Poverty is rarely wrong, but it is a summary rather than a mechanism, and a post that names it usually stops there. A narrower condition such as eviction, transit access or food insecurity lets you attach one indicator, one source and a plausible path to the outcome. You can still acknowledge poverty as the upstream cause that the narrower condition sits inside.
Is linking eviction records to hospital data an ecological analysis?
In this example, yes. Filing rates and admission rates are both tract-level, so the comparison describes places and cannot show that evicted households were the ones admitted. The post says exactly that and proposes a person-level test through a housing stability question at clinic intake. Stating the limit yourself tends to earn more credit than waiting for an instructor to point it out.
Where can I find a free NU713 Unit 1 sample paper?
The complete NU713 Unit 1 discussion post is on this page, with the condition and outcome, a tract comparison, a mechanism supported by research, the reason food access was not chosen, its limits and two replies, with three references. We can help you draft a post about a population you know.
What is PQI 01 in NU713 Unit 1?
A federal prevention quality indicator that counts hospital admissions for short-term complications of diabetes, such as diabetic ketoacidosis, per adult population. It is used as a marker of conditions that good outpatient care should usually prevent.