| Course | NURS 6710 Public Health Nursing Theory and Practice |
|---|---|
| Week | Week 3 |
| Paper type | Epidemiology brief |
| Length | About 600 words, 5 pages |
| Format | APA 7 student paper |
| School | Walden University |
| Program | Master of Science in Nursing (MSN) |
| Updated | September 2026 |
Free sample paper for NURS 6710 Week 3
Five Questions for One Number: An Epidemiology Brief on the Childhood Asthma Emergency Visit Rate Quoted for the Corridor's ZIP Code
Student Name
College of Nursing, Walden University
NURS 6710: Public Health Nursing Theory and Practice
Instructor Name
Month Day, Year
Five Questions for One Number: An Epidemiology Brief on the Childhood Asthma Emergency Visit Rate Quoted for the Corridor's ZIP Code
The Number as Quoted
At a neighborhood meeting and in a local news story, the same figure was quoted: children in the ZIP code containing the corridor have an emergency department visit rate for asthma nearly twice the county's, attributed to the state's hospital discharge data. The figure has already shaped how people talk about the corridor. This brief leaves the figure standing and asks what the number counts, over what population, and what it can support. The ZIP code, the corridor and the figure are composites built for this exercise.
Question 1: What Does the Numerator Count?
The numerator is emergency department visits coded with asthma as the main diagnosis among children under 18, not children with asthma. A child who returns four times in one winter counts four times. In a small population, a handful of children with poorly controlled asthma can drive the rate, which may reflect access to follow-up care as much as how many children have asthma. The numerator also leaves out visits that never reach an emergency department: urgent care centers, clinic sick visits and nights managed at home do not appear in hospital discharge data.
Question 2: What Is the Denominator?
The denominator is the estimated number of children living in the ZIP code, taken from American Community Survey five-year estimates. Those estimates carry margins of error that grow as the population shrinks, and users are advised to report and consider them when comparing small areas (U.S. Census Bureau, 2020). A denominator that is too low inflates the rate; one that is too high deflates it.
Question 3: Does the Geography Match the Population?
The ZIP code contains the corridor's four census tracts and also a newer subdivision to the north, with larger lots, higher incomes and more children. If the corridor's children have more asthma visits than the subdivision's, the ZIP-level rate dilutes the corridor's experience, and the true corridor rate is higher than the quoted figure. The choice of geographic unit is not neutral: research on area-based measures has shown that the level of geography chosen changes the size and even the direction of observed health inequalities (Krieger et al., 2002). ZIP codes are designed for mail delivery, not for describing communities.
Question 4: Is One Year Enough?
The figure covers a single year. With small counts, year-to-year variation can be large, and one bad winter or a respiratory virus season can double a rate. Pooling several years and reporting a confidence interval would show whether the difference from the county is stable (Celentano & Szklo, 2019).
Question 5: Is It Compared Fairly?
The comparison is to the county's crude rate. If the two populations have different age structures among children, for example more very young children in one, an age-adjusted comparison would be fairer. The published figure does not say whether adjustment was done.
Table 1
Summary of the Audit
| Question | Issue | Likely effect on the quoted rate | What would help |
|---|---|---|---|
| Numerator | Counts visits, not children; misses urgent care | May overstate burden for a few children; misses others entirely | Count unique children; add urgent care data |
| Denominator | Small-area survey estimates with margins of error | Uncertain in either direction | Report margins of error |
| Geography | ZIP includes a lower-risk subdivision | Understates the corridor's rate | Report at census tract level |
| Time | Single year | Unstable | Pool several years with intervals |
| Comparison | Crude rates | Uncertain | Age-adjust or state that ages are similar |
The figure is best treated as a signal worth investigating, not as a measurement of the corridor's asthma burden.
References
Celentano, D. D., & Szklo, M. (2019). Gordis epidemiology (6th ed.). Elsevier.
Krieger, N., Chen, J. T., Waterman, P. D., Soobader, M.-J., Subramanian, S. V., & Carson, R. (2002). Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: Does the choice of area-based measure and geographic level matter? The Public Health Disparities Geocoding Project. American Journal of Epidemiology, 156(5), 471-482. https://doi.org/10.1093/aje/kwf068
U.S. Census Bureau. (2020). Understanding and using American Community Survey data: What all data users need to know. U.S. Government Publishing Office.
Reading the NURS 6710 Week 3 instructions
The Week 3 assignment often asks you to find a published health indicator for your community and interpret it using epidemiological concepts such as rates, numerators, denominators, incidence and prevalence, and comparison populations. Some sections ask for several indicators; others ask for close analysis of one. Briefs of two or three pages are common, and a table is often welcome. Choose a figure people actually use, then examine it in the order a reader would need: what is counted, over what population, for what place and period, and against what reference. Say how each issue would push the figure up or down, and close with what better data would look like.
How this NURS 6710 Week 3 example is built
The brief opens by quoting the figure as residents heard it, naming the discharge data behind it and stating that the ZIP code and number are composite. Question 1 separates visits from children and notes that urgent care visits never appear. Question 2 explains survey margins of error for small denominators, citing the Census Bureau's data users guide. Question 3 shows the ZIP code mixes the corridor with a lower-risk subdivision and cites Krieger and colleagues on how the choice of area changes observed inequalities. Question 4 addresses single-year instability, and Question 5 raises age adjustment. Table 1 summarizes all five, and a closing line calls the figure a signal worth investigating rather than a measurement.
NURS 6710 Week 3 rubric: what earns full marks
Epidemiology rubrics in public health nursing tend to score accurate use of terms, correct interpretation of the data, recognition of limitations, use of credible sources and organization. Accuracy matters most: confusing visits with cases, or incidence with prevalence, costs points quickly. Interpretation earns credit when you explain what a figure can and cannot support. Limitations are rewarded when each one is tied to its likely effect on the number rather than listed generically. Sources should include the agency that published the data and a methods or epidemiology reference. Organization credit often goes to briefs that use headings a reader can scan and a table that summarizes rather than repeats.
Common NURS 6710 Week 3 mistakes, and how to avoid them
Briefs lose points when they report a rate as if it described how many people have a condition, when it counts events. Another common loss is treating survey estimates for small areas as exact. Some papers compare a local rate to a national one without checking that the populations or years match. Others list every limitation in a textbook without saying which ones matter for this figure. Examine one number closely, state what each problem would do to it and propose better data. If your section supplies a different indicator or a data table, the desk can draft a brief that audits it the same way.
Get a NURS 6710 Week 3 example written to your instructions
If a particular figure or outcome is already on the table in your section, include it with the Week 3 instructions and your rubric. The brief audits it question by question and names each source at the geography and years it truly covers, so every claim can be checked against the record. A first sample is free and comes back within 24-48 hours.
More NURS 6710 papers and MSN samples
- NURS 6710 Week 1: Discussion post
- NURS 6710 Week 2: Determinants analysis
- NURS 6710 Week 4: Community assessment
- NURS 6710 Week 5: Windshield survey writeup
- NURS 6710 Week 6: Framework application paper
- NURS 6710 Week 7: Health disparity analysis
- NURS 6710 Week 8: Discussion post
- NURS 6710 Week 9: Priority setting paper
- NURS 6710 Week 10: Assessment synthesis
- NURS 6710 Week 11: Reflection
- NURS 6630 Week 3: Case analysis
- NURS 6521 Week 3: Cardiovascular drug therapy plan
- NURS 6512 Week 3: Diagnostic tool validity review
- NURS 6501 Week 3: Pathophysiology Case Analysis
NURS 6710 Week 3 questions, answered
Why does the brief audit one number instead of reporting many?
Because the week tests whether a figure can be read, and one figure examined closely shows that skill better than a table of ten quoted uncritically. The example picks a rate that had already circulated locally, so the audit carries consequences for how people talk about the corridor. Your prompt may name several indicators, and custom work to that prompt applies the same questions to each, in less depth.
Can a ZIP code ever be the right geography?
Sometimes. When a ZIP code matches the population of interest reasonably well, it is often the only level at which hospital data are released. The example's point is that this ZIP code does not match, and the brief uses tract-level survey estimates to show the mismatch. Whether your data allow anything finer depends on what your state releases, and a sample works honestly at that level.
Does the brief say anything about treating asthma?
Nothing at all. It is a measurement document: it examines a rate, the records behind it and the population it covers, and it never addresses how any child's condition should be managed. Care decisions belong with clinicians and families. Custom work for your section holds the same line, whatever outcome your prompt assigns.
Where can I find a free NURS 6710 Week 3 sample paper?
This page shows the complete five-question brief and its summary table at no cost. If you need the same audit applied to an indicator your prompt names, one can be requested.
Why might the NURS 6710 brief understate the corridor's asthma rate?
Because the ZIP code also contains a subdivision with higher incomes and more children. Pooling the two areas dilutes the corridor's experience, so the corridor's own rate is probably higher than the figure quoted.