NR 436 Week 4 Sample Paper

Diabetes Among Adults 20 and Older in Riverbend County: A Population Health Assessment of Rates, Food Access, and Care Supply

Student Name

College of Nursing, Chamberlain University

NR 436: Community, Public, and Population Health Nursing

Instructor Name

Month Day, Year

What this page is doingWhy this title works: it names the population, the age band, the place and the three things the paper reports, so a reader knows before the first line that this is an assessment of one community rather than a paper about diabetes. Naming the age band matters, because every rate in the paper is calculated over adults 20 and older, and a title that hid that would invite a reader to apply the numbers to the whole county. The block is plain APA 7 student format with no running head.

The Community and Its People

Riverbend County is a composite. It takes the shape of a real kind of place, a rural Midwestern county with one small city at its center, and its local numbers are illustrative rather than lifted from any single county's file. The county holds 148,300 residents across 11 census tracts and roughly 620 square miles, with 41 percent of them living in the county seat and the rest spread across farmland and four unincorporated villages. Adults 20 years and older number 108,400, and residents 65 and older number 21,900, or 14.8 percent of the population. Median household income is 52,400 dollars, and 13.6 percent of residents, about 20,200 people, live below the federal poverty level. These counts come from five-year survey estimates covering 2018 through 2022 (U.S. Census Bureau, 2023).

Four data sources carry this assessment, and each is named where its numbers appear, because they do not all describe the same kind of thing. Population and income counts come from the American Community Survey five-year estimates, which average across a five-year window rather than photograph a single year. Small-area health estimates come from the CDC PLACES program, which models prevalence down to the census tract from national survey data, so a tract figure is a model output rather than a headcount (Centers for Disease Control and Prevention, 2024b). County-level comparisons come from County Health Rankings, which standardizes measures so that counties can be read against each other and against national top performers (County Health Rankings and Roadmaps, 2024). Food access classifications come from the Food Access Research Atlas (U.S. Department of Agriculture, Economic Research Service, 2024).

What this page is doingTwo moves earn credit early. The population counts appear before any health figure, because those counts become the denominators of every rate that follows, and a rate without its denominator cannot be checked. The sources are then separated by what kind of number each one produces: survey averages, modeled small-area estimates, standardized comparisons, geographic classifications. Saying that a tract prevalence is modeled rather than counted is the sort of precision that separates an assessment from a collection of statistics pasted together.

Health Status Indicators for Adults 20 and Older

Diagnosed diabetes is the priority condition in this county. Among the 108,400 adults 20 years and older, an estimated 13,880 carry a diagnosis of diabetes, a crude prevalence of 12.8 per 100 adults for the most recent estimate year. Nationally, the CDC counts 38.4 million people of all ages living with diabetes, about 11.6 percent of the population, and estimates that close to 1 in 4 adults with diabetes do not know they have it (Centers for Disease Control and Prevention, 2024a). Applied here, that undiagnosed share points to roughly 4,100 additional adults living with the disease and not counted in the 13,880. The comparison matters more than the raw figure, because the denominator is nearly the whole adult population, and one percentage point of difference is about 1,100 people.

Two further indicators sharpen the picture, both stated over a fixed window. Between July 1 and June 30 of the most recent complete year, the county's two hospitals recorded 214 emergency department visits by adults 20 and older with a primary diagnosis of hyperglycemia or hyperglycemic crisis, a rate of 19.7 visits per 10,000 adults in that age group. Over the same window, 68 of every 100 adults with diagnosed diabetes had a hemoglobin A1c drawn at least once, which leaves close to 4,400 adults carrying a diagnosis with no test result on record for a full year. An emergency visit for hyperglycemia is a late signal. It marks the point at which a condition managed in a kitchen and a clinic has already failed in both.

What this page is doingEvery figure in this section carries three things: the count, the denominator and the window. The undiagnosed adjustment is done out loud, so a reader can see the estimate is inferred from a national proportion rather than measured locally. Translating one percentage point into 1,100 people is the move that makes a comparison mean something to a reader who does not think in percentages. The A1c figure is then restated as the number of adults it leaves untested, which is what the intervention section later acts on.

Determinants: Food Access, Transportation, and Care Supply

Three of the county's 11 census tracts meet the low-income and low-access definition used in the Food Access Research Atlas, the rural version of which counts residents living more than 10 miles from a supermarket (U.S. Department of Agriculture, Economic Research Service, 2024). About 4,830 households sit inside those three tracts. A windshield survey through them shows what the classification means on the ground: two of the four villages have one convenience store each, selling shelf-stable food with no fresh produce beyond bananas and onions, and the nearest full-service grocery is 14 to 22 miles away on two-lane roads. There is no fixed-route bus service outside the county seat, and 8.1 percent of county households, near 4,700 homes, have no vehicle available. A diet plan that assumes a grocery store is a plan this county cannot fill.

Care supply is thin in a way one ratio makes visible. County Health Rankings reports primary care access as residents per primary care physician and compares each county against national top performers, which is the part of the measure worth using for planning (County Health Rankings and Roadmaps, 2024). This county has 68 primary care physicians for 148,300 residents, a ratio near one physician for every 2,180 people, and two endocrinologists for the estimated 13,880 adults with diagnosed diabetes. One federally qualified health center runs a single site in the county seat, with a certified diabetes care and education specialist present two days a week. Eleven percent of adults under 65 have no health insurance. Those four facts explain the testing gap in the section above better than any statement about motivation could.

What this page is doingThe windshield observations are tied to a classification and a household count rather than offered as impressions, which is what keeps a community assessment from reading as a travel note. The care supply paragraph does the same with one ratio and three counts. Notice that the section ends by connecting these conditions back to the testing gap in the previous section, so the determinants explain the indicators instead of sitting beside them as separate material.

Population Nursing Diagnosis and Priority for Action

The data support one population nursing diagnosis: risk for uncontrolled type 2 diabetes among adults 20 years and older in Riverbend County, related to limited food access across three rural tracts, a primary care supply near one physician per 2,180 residents, and the absence of transportation outside the county seat, as evidenced by a diagnosed prevalence of 12.8 per 100 adults, 19.7 emergency department visits for hyperglycemia per 10,000 adults over 12 months, and an annual A1c testing rate of 68 percent. Written this way, the diagnosis carries its own evidence, and every element in it traces back to a number and a source stated earlier in the paper. It also points at conditions rather than at people, which is the difference between a population diagnosis and a group-level judgment about behavior.

The priority for action is access to testing and food rather than education alone, because 4,400 adults holding a diagnosis with no annual result are not waiting for information. At the primary level this means a produce voucher arrangement with the two village stores and the growers market, since prevention here is a food supply problem before it is a teaching problem. At the secondary level it means point-of-care A1c testing carried to the villages by the health center on a monthly schedule, paired with the county extension office and the two congregations already running meal programs. At the tertiary level it means a shared care plan between the health center and the hospitals for adults who arrive through the emergency department. Healthy People 2030 carries diabetes objectives that line up with each of those levels, which gives a small county a national target to measure itself against (Office of Disease Prevention and Health Promotion, n.d.).

What this page is doingThe diagnosis is written in the population form, with the risk, the group, the related conditions and the evidence, and every clause of it can be traced to a number stated earlier. It names conditions rather than blaming the people who live in them, which is both accurate and the safer position in a public health paper. The action section then sorts the response by level of prevention and names the partners who would carry each part, which is what makes the plan look like a nurse wrote it.

References

Centers for Disease Control and Prevention. (2024a). National diabetes statistics report. U.S. Department of Health and Human Services. https://www.cdc.gov/diabetes/php/data-research/index.html

Centers for Disease Control and Prevention. (2024b). PLACES: Local data for better health. U.S. Department of Health and Human Services. https://www.cdc.gov/places/index.html

County Health Rankings and Roadmaps. (2024). 2024 county health rankings national findings report. University of Wisconsin Population Health Institute. https://www.countyhealthrankings.org/

Office of Disease Prevention and Health Promotion. (n.d.). Diabetes. Healthy People 2030. U.S. Department of Health and Human Services. Retrieved Month Day, Year, from https://health.gov/healthypeople/objectives-and-data/browse-objectives/diabetes

U.S. Census Bureau. (2023). American Community Survey 5-year estimates, 2018-2022. https://data.census.gov/

U.S. Department of Agriculture, Economic Research Service. (2024). Food Access Research Atlas. https://www.ers.usda.gov/data-products/food-access-research-atlas/

How this NR 436 Week 4 example is structured

In many sections the NR 436 Week 4 assignment asks for an assessment of one community or population rather than a paper about public health as a field, and your classroom's instructions and rubric decide the exact form and template. This example follows the sequence a public health nurse actually works in, written for Chamberlain University's Community, Public, and Population Health Nursing course at the RN-to-BSN level. The community is described first, with the population counts that become denominators later. The health indicators come next, each one written as a rate over a stated denominator and window so a reader can check the arithmetic. The third section turns to the conditions that produce those rates, including food access, transportation and care supply. The last section states a population nursing diagnosis and the priority for action that follows from it.

NR 436 Week 4 questions, answered

What makes a community assessment different from a paper about a disease?

A community assessment describes a population and the conditions it lives in, then reaches a diagnosis about that population. A disease paper describes pathophysiology and treatment. The example above never explains how insulin resistance works; it reports how many adults are affected, over what denominator, and which local conditions keep the rate where it is.

Do the rates in an NR 436 Week 4 community assessment need denominators?

Yes, and the window too. A prevalence of 12.8 per 100 adults 20 and older is checkable; a statement that diabetes is high in the county is not. Give the count, the population it was divided by, and the period it covers, then name the dataset. Any reader should be able to reproduce your arithmetic from the sentence itself.

Can I write about a composite community instead of a real one?

Your classroom's instructions decide that, so check them before you start. The example uses a composite county with illustrative local figures and real national sources, which keeps the reasoning visible without misreporting a real place. If you assess a real county, pull each figure from a named public dataset and state the window beside it.

Write yours, or have the desk draft it

This paper is an original model document written by our desk, not a submitted student paper and not an official Chamberlain University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

NR 436 Week 4: sample paper, in real form