NUR 350 Module 4 Assignment Sample Paper

Type 2 Diabetes Among Adults in Fairhaven Township: A Community Assessment and Population Level Nursing Diagnosis

Student Name

Department of Nursing, Southern New Hampshire University

NUR 350: Community and Population Health

Instructor Name

Month Day, Year

What this page is doingThe title names the population, the place, and the analytic move, so a reader knows before the first paragraph that this is a community assessment ending in a diagnosis rather than a general paper about diabetes. The block below it carries the six student title page elements in APA order: title, author, department and school, course code with course name, instructor, and date. Graders check that block first, and a paper that gets it right buys goodwill for everything that follows.

Community Description and Data Sources

Fairhaven Township is a semi-rural community of 48,600 residents strung along a state highway corridor about 40 miles from the nearest tertiary medical center. Adults aged 18 and older account for 36,900 of those residents, and adults aged 65 and older account for 8,270. Median household income across the 18,700 occupied households was 54,300 dollars in 2023 against a state median of 78,400 dollars, and 16.4 percent of residents lived below the federal poverty threshold that year. About 9.8 percent of adults, or 3,616 of 36,900, carried no health coverage in 2023. The township supports one primary care clinician for every 2,140 residents while the state ratio stands at one for every 1,290, so appointment backlogs of 20 to 30 days are routine at both open panels.

The assessment drew on four sources gathered between January and June of 2024. Population counts and economic characteristics came from American Community Survey 5-year estimates. Prevalence and behavior estimates came from county-level Behavioral Risk Factor Surveillance System summaries published through County Health Rankings and Roadmaps. Clinical counts came from the two federally qualified health center sites serving the township and from the regional hospital's publicly reported discharge summaries. Observational data came from a windshield survey of the four census tracts that recorded food outlets, transit stops, sidewalks, pharmacies, and dialysis capacity. Where a figure was available from more than one source, the more conservative number is reported here, and every rate below states the count, the denominator, and the period it covers.

The township is not without capacity. The two health center sites employ three nurse practitioners and a certified diabetes care and education specialist, a volunteer pantry distributes produce boxes on two Saturdays a month, and the senior center serves roughly 120 congregate meals a day. A mobile clinic reaches the two outlying tracts twice a month. Three candidate problems surfaced during data review: adult type 2 diabetes, tobacco use among adults under 40, and untreated maternal depression. Type 2 diabetes was carried forward because it showed the widest gap against state and national benchmarks, the clearest acute burden in emergency department data, and the strongest overlap with the food access and clinician supply problems already documented in the windshield survey.

What this page is doingData sources come before findings for a reason. A community assessment is only as strong as the reader's willingness to believe its numbers, so this sheet names each source, the window it covers, and the rule used when two sources disagreed. Naming assets alongside deficits also matters: a paper that lists only what is broken reads as a deficit inventory rather than an assessment. Closing the sheet by explaining why one problem was carried forward over two others shows selection reasoning instead of assertion.

Health Status Indicators and Benchmark Comparison

In calendar year 2023, 4,059 of the 36,900 adults aged 18 and older in Fairhaven Township carried a diagnosis of type 2 diabetes, a diagnosed prevalence of 11.0 percent. The surrounding county reported 9.8 percent for the same 12 months and the state reported 8.7 percent. National surveillance places diagnosed diabetes at 11.6 percent of the total United States population and estimates that roughly one in five people living with the disease has not been diagnosed (Centers for Disease Control and Prevention, 2024). Applying that undiagnosed fraction to the township adult count suggests a further 1,000 to 1,300 adults living with the disease and not yet counted, which means the figures that follow describe the recognized share of the problem rather than its full size.

Acute burden concentrates in a small part of that population. The regional emergency department recorded 214 visits for hyperglycemic crisis by township residents aged 18 and older during the 12 months ending December 31, 2023, a rate of 58 visits per 10,000 adults for the year. Across the 24 months from January 2022 through December 2023, 27 township residents with diagnosed diabetes were admitted for a lower extremity amputation, which is 3.3 admissions per 1,000 adults with diagnosed diabetes per year. Readmission within 30 days of a diabetes-related admission ran at 41 of 260 admissions, or 15.8 percent, over those same 24 months, against a state figure of 12.1 percent.

Process indicators explain part of that burden. Among the 3,340 adults with diagnosed diabetes seen at either health center site during 2023, 1,412 had a most recent hemoglobin A1c below 8.0 percent, or 42.3 percent, and 1,004 had no A1c drawn at all in those 12 months. Screening upstream is thinner still. Only 8,610 of the 36,900 adults, or 23.3 percent, had a fasting glucose or A1c drawn in the 12 months ending June 30, 2024, and that figure fell to 17.1 percent among adults living in the two outlying tracts. National objectives call for expanded preventive contact and improved glycemic control rather than tolerance of this pattern (Office of Disease Prevention and Health Promotion, n.d.).

What this page is doingEvery figure on this sheet is written as a count over a denominator across a stated period, which is the difference between an indicator and a claim. Note the order: prevalence first to size the population, acute utilization next to show severity, process measures last to explain the mechanism. Naming the undiagnosed fraction is a deliberate honesty move; it tells the reader the paper knows its own limits. Benchmarks against county, state, and national figures turn raw counts into a judgment about whether the problem is unusual.

Determinants, Priority Setting, and Population Level Nursing Diagnosis

Three determinants sit under those numbers. Food access is the first: 4,880 of the 18,700 occupied households, or 26.1 percent, are more than one mile from a full-service grocery, and the three convenience stores in the outlying tracts stock no fresh produce. Transportation is the second: the single fixed bus route runs 12 trips a day and reaches neither outlying tract, so a 30-minute appointment can cost an adult without a car most of a working day. Clinician supply is the third: at one primary care clinician per 2,140 residents, chronic disease visits fall further apart than the follow-up intervals recommended for adults whose A1c sits above target (American Diabetes Association Professional Practice Committee, 2024).

Candidate problems were ranked on four stated criteria: the size of the population affected, the severity of outcomes when the problem goes unmanaged, the availability of an intervention with evidence behind it, and community concern voiced in partner meetings. Type 2 diabetes scored highest on all four. It touches at least 11.0 percent of adults, its unmanaged course produces amputation and renal failure, community-based self-management education and pharmacist-led medication review both carry a solid evidence base, and health center staff and the pantry board named it without prompting as the problem they meet most often. County-level comparison confirms the gap is local rather than regional (County Health Rankings and Roadmaps, 2024).

The assessment therefore closes on a population level statement rather than an individual one. Risk for complications of uncontrolled type 2 diabetes among adults aged 18 and older in Fairhaven Township, related to limited primary care capacity, restricted access to affordable fresh food, and low rates of glycemic screening, as evidenced by a diagnosed prevalence of 11.0 percent (4,059 of 36,900 adults) in 2023, 58 emergency department visits for hyperglycemic crisis per 10,000 adults over the same 12 months, and a most recent A1c below 8.0 percent in only 42.3 percent of the 3,340 adults under active management. Written this way, the diagnosis points planning toward food access, screening reach, and visit capacity rather than toward individual adherence, and it names the exact figures a later evaluation can measure again.

What this page is doingThe diagnosis is written in the standard population form: the risk, the population with its age band and place, the etiology after related to, and the evidence after as evidenced by. Each piece of evidence is a figure already reported on the previous sheet, so nothing new arrives at the end. The final sentence does the work that separates a strong close from a summary; it states what the diagnosis directs planning toward and leaves measurable numbers behind for evaluation.

References

American Diabetes Association Professional Practice Committee. (2024). Standards of care in diabetes 2024. Diabetes Care, 47(Suppl. 1), S1-S321. https://diabetesjournals.org/care/issue/47/Supplement_1

Centers for Disease Control and Prevention. (2024). National diabetes statistics report. U.S. Department of Health and Human Services. https://www.cdc.gov/diabetes/php/data-research/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.). Healthy People 2030: Diabetes objectives. U.S. Department of Health and Human Services. https://health.gov/healthypeople

U.S. Census Bureau. (2023). American Community Survey 5-year estimates: Selected economic characteristics. https://data.census.gov

World Health Organization. (2016). Global report on diabetes. https://www.who.int/publications/i/item/9789241565257

How this NUR 350 Module 4 example is structured

This NUR 350 Module 4 example runs as three body sheets and a reference list after the title page. In most sections Module 4 commonly asks for a community or population assessment, so the paper is built as one; the classroom instructions you were given decide the exact form and the exact headings. The first body sheet describes the community and names where each number came from, because a reader has to trust the data before the analysis means anything. The second sheet reports health status indicators, each written as a count over a stated denominator across a stated window, then set beside county, state, and national benchmarks. The third sheet moves from numbers to determinants, applies a stated priority order, and ends in a single population level nursing diagnosis. The township and its figures are a composite built for teaching.

NUR 350 Module 4 questions, answered

What does NUR 350 Module 4 usually ask for?

In many sections Module 4 asks for a community or population assessment: describe a defined population, report health indicators against benchmarks, examine the determinants underneath them, and finish with a population level nursing diagnosis. The exact form, headings, and length come from your own classroom instructions, so read those before borrowing any structure from a sample.

How do I write a population level nursing diagnosis?

Name the risk or response, then the population with its age band and geographic boundary, then the etiology after the phrase related to, then the evidence after as evidenced by. The evidence should be rates you already reported, each with its denominator and window. Keep the subject a population, never one patient, and avoid naming a medical diagnosis as the problem.

Where do I get community data if my town has no published numbers?

Layer public sources: American Community Survey estimates for population and income, County Health Rankings for county-level indicators, state health department dashboards for disease counts, and hospital community health needs assessments for utilization. When a local number does not exist, report the county figure, say plainly that you substituted it, and name the window it covers.

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 Southern New Hampshire 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.

NUR 350 Module 4 Assignment: sample paper, in real form